传统手工艺小微企业Z公司的运营转型研究

Digital Transformation (DT) is common to facilitate overall efficiency to make optimization of scarce resources and ensure overall efficiency gain business performance. This paper aims to assess the perceived impact of DT on operational efficiency gain of SMEs in Nepal. The study population comprised SMEs that had been operating for at least the past 12 months in Kailali and Kanchanpur districts of Nepal from which samples were selected during first quarter of 2025 through purposive sampling within predefined strata as the cross-sectional survey of 384 SMEs to assess SMEs’ operational efficiency. The findings indicate that digitization level (β = 0.706, p < 0.001), digital payment density (β = 0.287, p < 0.001), efficiency in cost reduction ((β = 0.065, p < 0.001), and size of firm (β = 0.169, p < 0.001) indicating significant contribution on increase in operational efficiency. The estimated model explains 53 percent of the variance in operational efficiency, suggesting a good fit acceptable to the domain of behavioral economics. The findings suggest that digitization is inevitable for enhancing resource optimization and gaining competitive advantage. Based on the findings, policy implication may be suggested as digital capacity building of small enterprises by means of training, affordable digital infrastructure, and technology adoption incentives that can ensure efficiency in operations.

Purpose:This study investigates how supply chain information exchange capability (SCIEC) effects operational performance (OP) in manufacturing SMEs, exploring the mediating role of digital transformation (DT) and the moderating effect of organizational culture (OC). Design/methodology/approach:A conceptual framework grounded in the Resource-Based View and Contingency Theory is developed and tested using structural equation modeling on data collected from 687 manufacturing SMEs in Pakistan. Findings:Results show that SCIEC does not directly impact operational performance. Instead, its effect is mediated by digital transformation and further moderated by organizational culture. The findings suggest that SCIEC alone is insufficient; its activation through digital tools and alignment with supportive cultural norms is necessary for performance improvement. Research limitations/implications: The study uses cross-sectional, self-reported data from a single country, limiting causal inference and generalizability. Future research should use longitudinal or multi-country designs and explore additional organizational moderators. Practical implications: Managers should prioritize cultural readiness and digital capability development to realize the full value of supply chain information exchange initiatives. Social implications: This study offers practical insights for policymakers, SME associations, and development agencies aiming to foster inclusive economic growth through digital industrialization. By identifying the conditions under which supply chain information exchange contributes to performance, the research supports the design of targeted programs to enhance digital capability and cultural adaptability in small firms. In developing economies where SMEs represent the backbone of employment and production, improving their digital readiness and cultural alignment can accelerate national competitiveness, reduce economic inequality, and enhance social resilience in the face of global disruptions. Originality/value:This research extends prior literature by highlighting the conditional nature of SCIEC's effectiveness and offering a dynamic view of capability deployment in SMEs.

Efficient inventory and warehouse management are pivotal for enhancing operational performance and maintaining competitiveness in Small and Medium Enterprises (SMEs). However, many SMEs face persistent challenges, such as disorganized storage layouts, manual inventory tracking, and limited integration of digital tools. This study proposes a structured digital transformation approach to overcome these inefficiencies by focusing on three tactical pillars: strategic inventory planning, warehouse reorganization, and staff capacity building. Using the PDCA (Plan-Do-Check-Act) methodology, the project achieved measurable improvements, including a 28 % reduction in product retrieval time, a 35 % gain in storage efficiency, and increased accuracy in inventory records. These results underscore the relevance of structured improvement cycles and the application of digital solutions-such as barcode tracking and ABC inventory classification-in driving operational efficiency. The findings contribute actionable insights for SMEs aiming to strengthen their supply chain performance and digital maturity through scalable and context-aware transformation strategies.

Small and Medium-sized Enterprises (SMEs) are the backbone of West Africa’s economy, contributing substantially to employment and GDP, yet they face persistent constraints such as limited access to finance, inadequate infrastructure, and intensifying global competition. This paper examines how SMEs in West Africa are adopting digital technologies, specifically cloud computing and artificial intelligence (AI), the impact of these technologies on their operations, and the barriers that hinder wider uptake. Using a mixed-method approach that combines literature review, surveys, and interviews with SMEs in Nigeria, Ghana, and Senegal, the study analyzes patterns of technology adoption and associated operational changes. The findings indicate that the adoption of cloud computing and AI enhances scalability, supports process automation, and improves decision-making; however, overall adoption remains limited due to digital literacy gaps, unreliable internet connectivity, and the perceived high cost of digital solutions. The study concludes that digital transformation offers a critical pathway for strengthening the competitiveness and operational efficiency of West African SMEs but that structural and capability-related barriers must be addressed for its potential to be fully realized. The paper contributes to the digital transformation and SME literature by providing empirical insights from a regional context that is underrepresented in existing research and by informing strategies for SMEs, policymakers, and technology providers to promote more sustainable and inclusive adoption of cloud and AI solutions.

This study critically examines the integration of the Technology-Organisation-Environment (TOE) framework into digital empowerment practices among handicraft small and medium-sized enterprises (SMEs) from the perspective of contemporary Islamic economic law. The research aims to explore how technological readiness, organisational capacity, and environmental support influence the adoption of e-commerce, while aligning these dynamics with Islamic ethical and legal principles such as fairness (‘adl), transparency (shafāfiyyah), and social welfare (maṣlaḥah). Using a qualitative descriptive approach, this study synthesises empirical findings from relevant literature and case studies of handicraft SMEs that have implemented digital transformation strategies. The analysis reveals that the successful adoption of e-commerce within Islamic legal frameworks depends not only on technological and managerial factors but also on compliance with sharia-based economic values that promote justice, trust, and ethical business practices. The study concludes that integrating the TOE framework into digital empowerment provides a holistic model for sustainable SME development, bridging modern economic innovation with the moral foundations of Islamic law. The academic contribution of this study lies in its interdisciplinary integration of the TOE framework with contemporary Islamic economic jurisprudence, offering a novel analytical model that bridges digital innovation and normative Islamic law. It enriches the discourse on digital transformation in Muslim-majority economies by offering a sharia-compliant perspective on sustainable SME development and policy formulation.

No abstract available

The study aims to examine the effect of digital transformation on the operational efficiency of SMEs in Vietnam. Data were collected from SMEs listed on the stock exchange in Vietnam during the period 2018–2022. The Generalized Least Squares (GLS) estimation method was employed to test the relationships among factors in the theoretical model. The research findings indicate that digital transformation significantly enhances the operational efficiency of SMEs in Vietnam. Furthermore, the study reveals that not only micro-level factors, such as firm age and fixed asset ratio, contribute to the efficiency of enterprises, but also macro-level factors, such as the economic growth rate of the province, play a role in enhancing the efficiency of SMEs. However, variables negatively affecting the operational efficiency of SMEs in Vietnam include firm size, financial accessibility, and the proportion of board members. Based on these findings, implications are discussed to assist SMEs in Vietnam in enhancing their efficiency in the digital economy.

This study investigates the impact of digital transformation on firm performance in small and medium enterprises (SMEs), with the mediating role of operational capabilities. Data is collected through a structured questionnaire from managers and employees of SMEs in Islamabad and Rawalpindi. The hypothesised relationship among the variables is validated through PLS-SEM using SmartPLS. The findings revealed that digital transformation has a significant effect on firm performance. Further, it is also revealed that operational capabilities significantly mediate the relationship between digital transformation and firm performance. These findings highlight the importance of operational capabilities and digital transformation for enhancing firm performance, providing valuable insights for managers, leaders, and SMEs. This research advances the existing literature by integrating digital transformation and operational capabilities, offering a novel perspective on their combined effects on SME performance.

PurposeThis study adopts a capability-based view to investigate the attainment of organizational agility in manufacturing small and medium-sized enterprises (SMEs). It first explores how these firms mobilize different types of operational and dynamic information technology (IT) capabilities to achieve a high level of agility through their digital transformation. In return, it also reveals opposite paths, i.e. those leading to its absence.Design/methodology/approachThe research method involves a qualitative comparative analysis (QCA) of 65 Canadian manufacturing SMEs. Through necessity and sufficiency condition analysis procedures, this approach emphasizes the complexity of the digital transformation processes by revealing different sets (i.e. configurations) of what enable, or inhibit, organizational agility in these firms.FindingsThe findings indicate that manufacturing SMEs need to align at least one dynamic IT capability (sensing, learning, coordinating or integrating) and one operational IT capability (IT management, IT infrastructure or e-business) to be highly agile. In contrast, other findings indicate that there are suboptimal combinations of IT capabilities, which result in an absence of agility.Originality/valueThis study offers a deeper understanding of the complex interaction of IT capabilities in SMEs seeking greater agility in their business activities. Its contributions provide insights on the mobilization of a range of capabilities, both complementary and interdependent, to respond to changing conditions in their internal and external environments. These actionable findings can help various actors in the digital development of SMEs to design and implement effective IT strategies and public policies.

In Sri Lanka, over 75% of enterprises are small and medium-sized enterprises (SMEs), and they generate 52% of the country's GDP and are essential to the country's economy (Kulasinghe et al., 2018). Cutting-edge competition, limited supply and price control, and resource constraints are just a few of the challenges Sri Lankan SMEs face in developing and expanding. Due to their lack of access barriers, cost reduction efforts, and rigid customer and supplier relationships, SMEs find acquiring traditional competitive advantages like differentiation or pricing challenging. To adapt their business models and strategies in response, many companies are experiencing a digital transformation. This article examines how SMEs might use digital transformation as a strategic effort to meet these issues. The report outlines the potential advantages of digital transformation for SMEs in Sri Lanka and indicates areas that need more study through a thorough literature analysis. The study uses a concept paper format, focuses on empirical data, and mainly analyzes Sri Lanka's SME market. The article's conclusion outlines potential paths for study and research in this area.

This study aims to conduct a comprehensive analysis of digital transformation which involves the integration of digital technology into all sectors of SMEs, resulting in increased efficiency and enhanced customer service, enables SMEs to reduce overall expenditure by optimizing operational and marketing costs, thereby allowing to focus on value-adding activities, supports SMEs' technology innovation development models and strategies for fostering technological innovation within SMEs. The research identifies the difficulties encountered by SMEs during the implementation of digital transformation initiatives. Additionally, it seeks to acknowledge emerging trends in digital transformation that may affect SMEs and offer advice on proactively embracing technological advancements to sustain competitiveness. This is a mixed-method research project utilizing systematic review and deductive methods to gather qualitative data.Top of FormBottom of Form SMEs currently employing digital transformation were purposefully selected based on criteria such as authorship, publication date, sample size, and variables for this study. Furthermore, this research involved conducting thorough interviews and observations to delve into the technological innovations pursued by the participants. It was found that there are some factors of digital transformation in SMEs' technology innovation: Enhanced Operational Efficiency, Improved Customer Engagement, Global Market Access, Data driven decision making. Hence, Digital transformation in SMEs contribute autonomously to the expenses of technological innovation to foster business sustainability. This necessitates a strategic focus on enhancing consumer services and fostering a favorable attitude toward innovation in SMEs' business practices and development through technology. This study examines obstacles to SME technology innovation in production, business models, technology adoption, and strategic approaches, without analyzing costs related to SME-driven digital transformation. Future studies could investigate obstacles across various SME sectors to enhance digital tools, underscore the significance of SMEs adopting technology, integrating strategic supply chain management, and broadening their business strategies to attain sustainable development.

This paper explores the challenges and opportunities faced by small and medium-sized enterprises (SMEs) in Guangxi Province, China, in their journey toward digital transformation. As digital technologies continue to reshape business practices globally, SMEs in China are under increasing pressure to adopt these innovations to remain competitive and enhance operational efficiency. However, digital transformation remains a complex and multifaceted process, particularly for SMEs in less-developed regions such as Guangxi. The study examines industry-specific barriers, opportunities, and strategies in the context of digital transformation, with a particular focus on the manufacturing, hospitality, and retail sectors. Drawing on qualitative data from in-depth interviews with senior management and decision-makers from five SMEs across these industries, the research identifies common obstacles including financial constraints, technological limitations, and a lack of skilled personnel. It also highlights key opportunities such as improved customer engagement, operational efficiency, and the potential for new revenue streams. By situating these findings within the broader literature on digital transformation, this study contributes to a deeper understanding of the unique challenges SMEs in Guangxi face and the role of government policies in facilitating digital adoption. The paper concludes with practical recommendations for SMEs and policymakers aimed at overcoming these challenges and accelerating digital transformation in the region.

This paper provides a conceptual analysis of the barriers and drivers of digital transformation in small and medium-sized enterprises (SMEs). Digital transformation has become a critical factor for business growth and competitiveness, yet SMEs face unique challenges in adopting new technologies. The objectives of this paper are to explore the key factors that hinder or facilitate digital transformation within SMEs, analyze the underlying conceptual frameworks, and highlight opportunities for overcoming these barriers. Key barriers identified include limited financial resources, insufficient digital skills, resistance to change, and concerns over data security. On the other hand, drivers such as improved operational efficiency, customer satisfaction, competitive pressure, and government support are crucial motivators for digital adoption. The paper integrates several conceptual frameworks, including technology acceptance models and resource-based theories, to analyze these dynamics. It concludes by proposing strategies that can help SMEs navigate the digital transformation process, such as fostering a digital culture, upskilling employees, and leveraging external funding. The analysis contributes to a deeper understanding of how SMEs can overcome the constraints of digital transformation and harness the potential benefits for long-term sustainability and competitiveness.

Serbian SMEs face mounting pressure to stay competitive, agile, and aligned with sustainability goals amid rapid digital change. This mixed-method study—12 qualitative case studies and a survey of 200 firms—examines how AI adoption supports flexible and adaptive strategic transformation. We examine how organizational context and AI readiness translate into the strategic application of AI and, in turn, sustainable development and strategic performance outcomes among Serbian SMEs. Through the AI-Driven Strategic Transformation Framework (AISTF-SME), three adoption types were identified —Traditionalists, Experimenters, and Strategic Adopters—distinguished by digital maturity, strategic integration, and sustainability orientation. While AI is primarily deployed for operational efficiency, firms with higher AI maturity and tighter strategic alignment report stronger gains in agility, innovation, and customer experience; sustainability-oriented use cases remain limited. Key barriers include shortages of technical talent, financial constraints, and insufficient institutional support. We recommend a multi-stakeholder policy approach emphasizing sector-specific AI readiness programs, better access to funding, and stronger university–industry collaboration. The findings enrich digital transformation and sustainability research and offer practical guidance for accelerating AI adoption in transitional economies.

Digital transformation plays a central role in the balance between technology and sustainability, especially for small and medium‐sized enterprises (SMEs) in Romania. This study examines the impact of the adoption of digital technologies on the competitiveness, development of digital corporate culture, digital management and ESG (environmental, social, governance) performance of SMEs in the manufacturing sector. Based on 463 valid questionnaires, a model was developed and empirically tested using fsQCA (qualitative comparative fuzzy set analysis) and PLS‐SEM (partial least squares structural equation modeling) methods. The results show that the implementation of digital technologies contributes significantly to improving the competitiveness, performance and ESG practices of SMEs. Companies with a clear digital strategy and an innovative digital culture not only have greater operational efficiency, but also greater social and environmental responsibility. The study makes it clear that digital transformation is not only a strategic driver for sustainability and innovation for SMEs, but also contributes to adaptability and long‐term success. Policy and practice are recommended to expand targeted measures and funding programs to support the digitalization of SMEs to promote the balance between technological advances and sustainable business.

Background: The culinary sector within SMEs in Bogor District has experienced rapid digital transformation. Key advancements include the adoption of digital payments, enhanced operational efficiency, and increased use of social media for marketing, supported by training initiatives aimed at improving service quality.Purpose: This study aims to analyze the factors that influence technology adoption among culinary SMEs in Bogor District and assess the impact of digital transformation on their performance.Design/methodology/approach: Utilizing the Technology-Organization-Environment (TOE) framework, this study evaluates factors affecting digitalization in culinary SMEs. Data were collected from 125 culinary SME respondents in Bogor District through online and in-person surveys, with purposive sampling. Analysis was conducted using Structural Equation Modeling - Partial Least Squares (SEM-PLS).Findings/Results: Out of four tested hypotheses, two yielded significant results. Organizational factors were positively associated with digitalization, while technological factors were not. Although environmental factors were not significant, digitalization demonstrated a positive impact on SME performance. Critical factors in the digital transformation process include the use of digital promotional media and digital payment systems, with sales growth and profitability emerging as indicators of SME success.Conclusion: Organizational factors, along with digital tools such as promotional media and payment systems, play a pivotal role in the successful digital transformation of culinary SMEs. Despite the non-significance of certain factors, digitalization remains a key driver of performance improvement.Originality/value: This study contributes to the understanding of digital transformation in the culinary SME sector, highlighting the role of organizational support and digital strategies in fostering growth and competitive advantage in the digital economy. Keywords: Culinary SMEs, Digital Transformation, Environment, Organization, Technology

No abstract available

Small and Medium Enterprises (SMEs) are increasingly adopting digital transformation to enhance their competitive advantage and operational efficiency. Accurate sales prediction is crucial for informed decision-making and business strategy optimisation. This research presents a Hybrid AI model, which combines the machine learning techniques of Random Forest (RF) and Support Vector Machine (SVM). Unlike traditional ensemble methods, this hybrid model leverages AI-driven decision-making processes to provide a more intelligent, adaptive, and accurate approach to sales forecasting in SMEs. By integrating RF's ensemble learning power with SVM's robust classification abilities, the model effectively addresses sales prediction challenges in dynamic business environments. The hybrid model was evaluated using key statistical metrics, achieving a Mean Squared Error (MSE) of 0.7254, Mean Absolute Error (MAE) of 0.4605, and an R-squared (R²) value of 0.99999, indicating outstanding predictive accuracy and a near-perfect fit to the data. These results demonstrate the model's capacity to capture complex sales data relationships, proving its practical applicability for sales forecasting. This study highlights the potential of hybrid AI models in advancing sales forecasting techniques, particularly in the context of digital transformation for SMEs. 

The business structure of Iraqi Small and Medium Enterprises faces transformations due to Digital Transformation. The main economic driver of Iraq consists of SMEs that encounter multiple barriers to technological implementation mainly due to poor infrastructure along with financial backing and specialized expertise deficiencies across local spaces. The maximum business benefits await Small medium Enterprises (SMEs) when they accept digital transformation. The research investigates digital technology utilization by Iraqi SME businesses and their work model evolution. The study uses both quantitative and qualitative approaches to determine its research methodology. The study confirmed that adopting digital transformation would lead both to operational improvements and enhanced performance and business competitive advantage while recognizing existing implementation challenges.

This article synthesizes recent quantitative evidence (2020–2025) on the relationship between digital transformation (DT), inclusive leadership (LI), and SME productivity in Latin America and the Caribbean (LAC). Based on meta-analyses and institutional reports, we show: (1) a positive and moderate effect of digital technologies on business performance (Oduro et al., 2023); (2) systematic effects of LI on key outcomes at the people level—task performance, organizational citizenship, creativity, innovation, and voice—mediated by psychological safety and empowerment (Li et al., 2024); and (3) significant digital adoption gaps in LAC SMEs that limit productivity gains (OECD/CAF/SELA, 2024; ECLAC, 2024; IDB, 2022). An integrative model is discussed in which DT affects productivity through digital capabilities and management practices, and the LI acts as a catalyst that converts digital investment into operational and innovation improvements.

The rapid advancement of digital technologies has significantly influenced business environments, creating both opportunities and challenges for Small and Medium Enterprises (SMEs). This study aims to analyze the strategic position of SMEs in the context of digital transformation using a SWOT framework. A qualitative descriptive research method was employed, utilizing literature review and semi-structured interviews with SME owners and industry practitioners to identify key internal and external factors affecting digital adoption. The findings reveal that SMEs possess strategic strengths such as operational agility, strong customer relationships, and owner-driven decision-making that can support digital transformation initiatives. However, internal weaknesses including limited financial resources, low technological capability, and resistance to organizational change hinder implementation. External opportunities such as growing digital markets, government support programs, and accessible digital tools provide potential pathways for digital acceleration, while threats including cybersecurity risks, regulatory pressures, and increasing digital competition create strategic uncertainties. The study concludes that successful digital transformation for SMEs requires leveraging internal strengths, addressing capability gaps, capitalizing on emerging opportunities, and mitigating external risks through strategic planning. These insights provide valuable implications for SMEs, policymakers, and ecosystem actors in developing capacity-building frameworks and supportive policies to foster sustainable digital transformation.

Batam City has recognized the benefits of digital transformation and has actively adopted digital technology. However, it is a misconception to view digital transformation as merely the adoption of new technologies. To digitally transform a business, SMEs need to acquire managerial capabilities and digital proficiency of employee. The need to ensure that managers and employees are equipped with the digital knowledge is essential. Delays in addressing these issues could result in a broader digital gap, putting Batam's SMEs at a disadvantage in both local and global markets. The study employs a qualitative approach through in-depth interviews with SME owners or managers. The findings show that while digital transformation improves operational efficiency, market reach, innovation, and reducing fraud, SMEs face challenges such as limited capabilities, skills gaps, and emerging market demands. The study shows that managerial skills and employee readiness are key in ensuring a successful digital transformation. This research provides a practical overview for entrepreneurs or managers to help them navigate digitalization in a dynamic environment.

Small and Medium Enterprises (SMEs) now consider digital transformation as their main strategic goal because it helps them improve competitiveness and operational efficiency and maintain their business existence over time. The business world has undergone a complete transformation because of fast technological progress which includes cloud computing and enterprise resource planning (ERP) systems and big data analytics and artificial intelligence and digital automation. The technological advancements have transformed management accounting because it now serves as a strategic planning tool which supports organizations in their performance evaluation for their complete operational processes. This study investigates the impact of digital transformation on management accounting practices in SMEs. The research evaluates how digital technologies affect budgeting systems and cost management practices and financial reporting methods and performance assessment systems and decision support systems. The research uses a descriptive and analytical framework which collects primary data through structured questionnaires administered to SME owners and managers and accounting professionals. The researchers measured digital adoption levels and their impact on accounting efficiency and managerial decision-making through percentage-based analysis. The study found that SMEs which adopted digital technologies achieved better financial reporting results through improved accuracy and transparency and timely reporting. The ability to access real-time data improves forecasting and budgeting accuracy while automated systems minimize manual errors and cut down on operational expenses. Digital transformation empowers management accountants to become strategic partners through their capability to deliver data-driven business planning and risk management solutions. The organization faces several obstacles because it lacks sufficient funds and trained staff and it encounters cybersecurity threats. The research demonstrates that digital transformation outcomes improve management accounting practices because it strengthens internal control frameworks and improves performance assessment methods and enables tactical organizational expansion.

This study examines the role of digital transformation strategies in enhancing business management practices within Small and Medium Enterprises (SMEs) in Tangerang, Indonesia. SMEs in this region face ongoing challenges in adopting digital technologies, including limited financial resources, inadequate digital skills, and internal resistance to change, while increasing competition and rapid technological advancement demand adaptation to remain competitive. The purpose of this research is to analyze how digital transformation strategies cloud computing, digital marketing, automation, and data analytics affect business outcomes such as operational efficiency, customer engagement, and market competitiveness. A quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM) based on survey data from 150 SMEs actively implementing digital initiatives in Tangerang. The findings show that cloud computing and data analytics significantly improve operational efficiency through workflow optimization and data-driven decision-making, while digital marketing and automation have a positive impact on customer engagement and competitive positioning. SMEs that adopt these strategies demonstrate enhanced management performance and stronger market responsiveness. The study offers empirical evidence supporting the strategic value of digital transformation for SMEs in emerging regions and highlights the importance of investment in digital capability building. These insights may guide SME leaders and policymakers in strengthening digital adoption to support sustainable economic development. Future research should incorporate longitudinal approaches to evaluate longterm impact and qualitative perspectives to better understand contextual challenges in digital transformation implementation.

Micro, Small, and Medium Enterprises (MSMEs) are key contributors to national economic growth due to their ability to absorb labor, generate income, and stimulate regional development. Beujroh MSME, located in Kutablang Village, Bireuen Regency, is an enterprise that preserves the cultural tradition of weaving using purun grass (Lepironia articulata) as its primary raw material. Its products, such as bags, hats, storage containers, coasters, and placemats, highlight the integration of traditional crafts with creative economic principles. This research aims to develop a strategic plan to support the growth of Beujroh MSME through a creative economy approach while identifying internal and external challenges faced by the business. Using a qualitative method and purposive sampling, this study applies SWOT analysis as the main analytical tool. The research is scheduled for August to December 2024 under the basic research scheme with Technology Readiness Level (TRL) 1–3. The results indicate that Beujroh MSME is in Quadrant I (growth strategy) with IFAS and EFAS scores of 0.31 and 0.64, respectively. Therefore, a Strength-Opportunity (SO) strategy is recommended, leveraging internal strengths to take advantage of external opportunities. Expected outputs include international and national journal publications and copyright registration, serving as strategic input for relevant stakeholders.

Micro, small, and medium enterprises (MSMEs) are required to establish well-organized bookkeeping and administrative systems to enhance competitiveness and readiness for international expansion. However, Iluh Craft MSME continues to face challenges related to unstructured financial record-keeping and traditional administrative practices, which hinder effective financial monitoring and the preparation of business documentation. This community service activity aims to implement an efficient bookkeeping and administrative system to improve recording accuracy, operational efficiency, and the readiness of Iluh Craft MSME to expand into international markets. The implementation employed a descriptive participatory approach involving interviews, observations, and documentation, followed by system design, phased implementation, mentoring, and joint evaluation with the partner. The results demonstrate a significant improvement in the accuracy of financial records, a reduction in transaction recording errors to below 5%, administrative time efficiency gains of approximately 25–30%, and improved document organization with faster data retrieval. In addition, more than 90% of staff members were able to operate the system independently. Overall, the implementation of an efficient bookkeeping and administrative system proved effective in supporting more professional business management and enhancing the readiness of Iluh Craft MSME for international market expansion.

In the pursuit of Indonesia's ambitious "Indonesia 2045 Vision," this comprehensive research initiative focuses on empowering craft artisans and micro, small, and medium-sized enterprises (MSMEs) in Eastern Indonesia through design innovation. The region, with its vast natural beauty and cultural heritage, is earmarked for development to contribute more significantly to the nation's economy. This study examines the challenges and opportunities in Eastern Indonesia's craft sector and outlines a structured approach to enhance it. Traditional crafts, particularly weaving and handwoven fabric, play a crucial role in sustaining local livelihoods. However, a balance must be struck between production efforts and economic returns, given varying selling prices. Handwoven fabric exhibits higher adaptability to market demand. The research underscores the importance of product direction, sample creation, and quality control in the iterative design process, emphasizing the need for regular communication with artisans. To streamline support, a Product Development Readiness Index is proposed, allowing designers to allocate resources effectively based on artisans' capabilities. In conclusion, this research lays the foundation for enhancing Eastern Indonesia's craft industry through design innovation, aligning with the country's long-term vision. Future research opportunities encompass interdisciplinary collaboration, market diversification, sustainability, and policy analysis to further enrich the craft sector's development.

Indonesia's craft industry, encompassing traditional crafts such as batik printing, weaving, and furniture, plays a vital role in the nation's cultural identity. Micro, Small, and Medium-sized Enterprises (MSMEs) are key players, propelling the growth of creative cities. Among them, the furniture industry is prominent, despite a minor dip in 2022 exports. Notably, the United States accounts for 58.5% of Indonesian furniture exports and is the main export destination. This study employs the Five Porter Analysis to explore external factors influencing the furniture craft sector. The findings emphasize the importance of ensuring a stable supply of raw materials, aligning products with international preferences, promoting sustainable resource management, fostering innovation, and navigating international trade regulations. Government support is pivotal. The results demonstrate the need for a comprehensive strategy to sustain competitiveness. It calls for capacity building, market research, and global collaboration to strengthen Indonesia's position in the international market. This research offers valuable insights for policymakers, industry stakeholders, and MSMEs to enhance Indonesia's furniture craft industry's competitiveness while preserving its rich cultural heritage.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in the economic growth of Padang City, particularly in the handicraft sector, which represents both cultural identity and a vital source of local economic activity. However, technological limitations and low production efficiency remain major obstacles to improving the competitiveness of local crafts in the global market. This Community Service Program (PkM) aims to integrate 3D printing technology with conventional production methods as an effort to enhance product quality, efficiency, and design innovation. The implementation method includes identifying the potential and challenges faced by artisans, conducting training on the use of 3D printing, and providing mentoring in the design and production processes. This approach combines the artistic touch and craftsmanship of conventional manual techniques with the precision and speed of digital technology. The results show an improvement in artisans’ ability to utilize digital technology for prototyping and developing new designs that are more responsive to market trends. Furthermore, the training and equipment facilitation support continuous knowledge transfer, strengthening the innovation capacity and independence of MSMEs. The combination of traditional skills and modern technology not only produces products with high aesthetic value but also opens opportunities for market expansion and increased economic value. Therefore, the application of 3D printing has proven to be an effective innovative solution for enhancing the competitiveness and sustainability of the local handicraft sector in the era of the digital creative industry.

Against the global digital transformation of small and micro-enterprises (SMEs), the low adoption rate (<35% globally) and high failure rate (>60%) of traditional ERP systems have become bottlenecks for SME management upgrading. This study takes the “Qi Weijie” lightweight ERP system as the research object, conducts empirical analysis based on 15 SMEs across manufacturing, service, and retail sectors, and explores the influence mechanism of three core adaptation elements—scale adaptation, cost control, and ease of operation—on ERP application effects. A “Lightweight ERP Selection Scoring Model” with 10 quantitative indicators was constructed via Analytic Hierarchy Process (AHP), and its prediction accuracy was verified (in-sample R² = 0.85, out-of-sample R² = 0.80). Empirical results show that: (1) Scale adaptation has a significant positive impact on ERP application effect (β = 0.65, p < 0.001), with functional module customization and architectural flexibility explaining 42% of the variance; (2) Cost control presents a significant negative correlation with application effect (β =-0.58, p < 0.001), and every 10% reduction in implementation and maintenance costs leads to a 15% increase in user acceptance; (3) Ease of operation is the most influential factor (β = 0.70, p < 0.001), accounting for 49% of the variance, and intuitive interfaces and simplified processes increase system usage frequency by 2.3 times. This study enriches the theoretical framework of ERP adaptation research from the perspective of SME resource constraints and provides a scientific decision-making tool for SMEs. Validated in Beijing Mint Information Consulting Co., Ltd.’s practice, it helped 12 of 15 sample enterprises achieve a 45% average improvement in management efficiency and a 30% average reduction in operational costs.

This study aimed to examine the promotion and distribution strategies employed by One Town One Product (OTOP) micro, small, and medium enterprises (MSMEs) in Nueva Ecija, Philippines. It sought to identify the challenges these enterprises face and provide data-driven inputs for a development plan aimed at enhancing their market competitiveness and long-term sustainability. A descriptive-quantitative research design was employed. Data were collected using a validated survey instrument administered to OTOP beneficiaries throughout the province. The analysis covered key promotional strategies including advertising, personal selling, public relations, and sales promotion and core distribution components including customer service, order processing, materials handling, inventory management, delivery, and product return protocols. Results indicated that OTOP MSMEs demonstrate strong practices in branding, customer service, and public relations. However, gaps were observed in areas such as digital tool utilization, formal inventory and return systems, and comprehensive strategic marketing planning. Specific operational challenges included limited digital literacy, underutilization of courier services, and low formalization in handling customer returns and feedback. The study concludes that while OTOP MSMEs have established foundational strengths in traditional promotional and distribution strategies, there is a pressing need to enhance digital capabilities, formalize operational systems, and adopt structured marketing approaches. A development plan is proposed to address these gaps through targeted interventions. The findings offer actionable insights for MSMEs, local government units, and development agencies in crafting responsive support programs. Emphasis should be placed on digital training, capacity-building in strategic marketing, investment in inventory and order management tools, and expansion of promotional platforms. These efforts can contribute to strengthening local enterprises and fostering inclusive and sustainable economic growth at the community level.

The development of intelligent manufacturing has significantly impacted the traditional manufacturing industry, so it is urgent to change the traditional business model and production mode. As the world economy is in a downturn, small and micro enterprises in the subordinate position of the supply chain are facing a considerable threat. On the one hand, the substitutability is substantial; there is no bargaining power, which makes the enterprise's anti-risk ability 0. On the other hand, it is subject to significant restrictions, and the core enterprise thunder will protect all of the enterprises in the chain. This paper focuses on the risk identification and transformation mechanism of micro and small enterprises and whether micro and small enterprises have the conditions for transformation and upgrading in the context of the Internet. Based on the Bayesian formula, the AHP method model is the theoretical basis to help enterprises make decisions.

Abstract Amidst the COVID-19 pandemic, Micro-Small Enterprises (MSEs) have faced severe challenges and many are on the brink of collapse. To address this issue, this study investigates the survival mechanisms of MSEs in the digital economy platform, including the barriers they encounter when adapting to sharing economy practices. Additionally, the study examines the digital literacy capabilities of MSE actors and the extent to which these capabilities impact the continuity of businesses involved in the sharing economy. Using a descriptive research approach with 300 MSE actors in East Java Province as respondents, this study reveals that, aside from receiving financial assistance, digitization is essential for MSEs to avoid failure. MSE actors, who previously relied solely on traditional channels for product marketing, are now compelled to use digital platforms and encouraged to participate in sharing economy practices. The study indicates that, despite the perceived benefits of MSE actors’ engagement in the sharing economy practice, the profit earned must be shared with the application owner, without any guarantee of proportionality to the risks they bear. Digital transformation, however, presents a unique opportunity for both new and established MSE actors to upgrade their businesses. Notably, online promotion is much more accessible and cost-effective, with options such as Instagram, Facebook, and Google Business. Nevertheless, the readiness of MSE actors to adopt digital transformation is uneven, as some possess outdated gadgets and inadequate digital literacy. Therefore, digital literacy training for MSE actors is a crucial need.

This study aims to examine and develop the potential of micro-enterprises producing traditional Balinese bokor crafts in Bresela Village as an effort to preserve culture while strengthening the local economy. Bokor, as one of Bali's traditional crafts rich in cultural value, holds significant economic potential if managed strategically and sustainably. Using a descriptive qualitative approach, data was collected through observation, interviews with local artisans, and documentary studies. The research findings indicate that the development of culture-based bokor micro-enterprises can strengthen local identity, increase community income, and create job opportunities aligned with local wisdom. Support for training, design innovation, and digital marketing also play crucial roles in the success of this enterprise development. With the right strategy, the bokor craft business can become one of the pillars of a sustainable local economy amid the tide of modernization and globalization.

As a traditional Indonesian craft, batik holds immense cultural significance and economic potential. The COVID-19 pandemic has caused a significant decline in the growth of batik micro, small, and medium enterprises (MSMEs) in Indonesia. This study aims to investigate the role of sustainable orientation and government support in encouraging sustainable entrepreneurship within this sector. The data were obtained using purposive sampling of 32 MSMEs and 89 respondents, including owners, managers, and senior employees. Data analysis was done using the Structural Equation Modeling – Partial Least Square (SEM-PLS) method. The results reveal that economic factors have the greatest influence on the development of sustainable entrepreneurial businesses. While social and environmental considerations also play a role, they are secondary to economic issues. In addition, the study reveals that a strong sustainability orientation, characterized by a balanced emphasis on economic, social, and environmental dimensions, as well as supportive government policies, significantly encourages sustainable entrepreneurship. This orientation motivates businesses to adopt long-term perspectives, prioritize sustainable resource use, and consider the social impact of their operations. It also highlights practical strategies for policymakers and entrepreneurs to integrate sustainability into traditional industries. Therefore, this study contributes to the ongoing discourse on sustainable entrepreneurship, which offers insights into harnessing cultural heritage for economic advantage globally post-pandemic. AcknowledgmentThe author gratefully acknowledges the financial support provided by the Directorate of Research, Technology, and Community Service under the auspices of the Directorate General of Higher Education, Research, and Technology, Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia. This article was funded through the Higher Education Excellence Applied Research Program under contract number 009/SP2H/PT-L/LL7/2023.

This community service program aims to enhance financial literacy and economic independence among small and micro enterprises (SMEs) producing woven sarongs in Wedani Village, Cerme Gresik. Financial literacy is an essential competency required by business actors to ensure sustainability and business development, particularly within traditional craft industries that face increasing market competition and changing economic dynamics. The program was carried out through a full-day direct socialization activity, consisting of material presentations, hands-on practice in financial recordkeeping, cost-of-production calculations, and interactive discussions. The results indicate a significant improvement in participants’ understanding of basic financial literacy concepts, the importance of separating personal and business finances, and their ability to prepare simple financial records. In addition, the activity fostered greater economic independence, demonstrated by participants’ improved awareness of business planning, capital management, and independent marketing strategies. Participants reported that the program was highly beneficial in addressing financial challenges that had previously hindered business development. Overall, this community service initiative contributed positively to strengthening the capacity of woven-sarong SMEs and supporting the sustainability of local, culturally based economic development in Wedani Village.

This study investigates the role of e-training in enhancing digital competency and employee engagement and how these factors contribute to sustainable organizational performance within Indonesia's rattan micro, small, and medium-sized enterprises (MSMEs). Utilizing a quantitative research design and Partial Least Squares Structural Equation Modeling (SEM-PLS), data were collected from 200 employees of rattan MSMEs who had participated in digital-based training programs. The findings reveal that e-training significantly improves digital competencies and employee engagement, both of which are crucial drivers of organizational sustainability. Dynamic Capability Theory highlights the importance of adapting competencies in response to environmental changes. This research provides theoretical contributions by extending these frameworks into the traditional craft sector and offers practical insights for digital human resource development in MSMEs. Specifically, it emphasizes the importance of contextualized training approaches tailored to local cultural and technological conditions. The results support e-training as a strategic tool for driving digital transformation and long-term sustainability, in alignment with the Sustainable Development Goals (SDGs), particularly Goals 4 and 8. By focusing on rattan MSMEs, this study fills a notable gap in the literature and demonstrates how digital interventions can empower traditional industries in a technology-driven era.

The lontar leaf stitching home industry is a micro-enterprise that produces various types of crafts made from lontar leaves, commonly used in traditional and religious ceremonies. This industry plays a significant role in the local economy and cultural preservation. The objectives of this study are: (1) to analyze the simultaneous effect of capital, raw materials, working hours, and business duration on the income of lontar leaf stitching home industries in Sibetan Village, Karangasem Regency; and (2) to analyze the partial effect of capital, raw materials, working hours, and business duration on the income of these industries. The population of the study consists of all 50 lontar leaf stitching home industries in Sibetan Village. A saturated sampling technique was used, meaning the entire population was taken as the sample. The data were analyzed using multiple linear regression analysis with the assistance of SPSS version 26. The results show that capital, raw materials, working hours, and business duration simultaneously have a significant effect on income, accounting for 96.8 percent of the variance. Partially, each of these variables also has a positive and significant effect on income. It is recommended that artisans manage their capital efficiently—including utilizing financing from village credit institutions (LPDs)—select quality raw materials, optimize working hours, and leverage business experience through support from village-owned enterprises (BUMDes) to expand marketing and increase income.

This study aims to describe and analyze product innovation carried out by UMKM Sonia Handcraft in developing lace crafts in Bukik Ngalau, Sonia Handcraft is a micro-enterprise engaged in handicrafts, especially products made from lace, such as bags, decorations, and household accessories. In facing market competition and the development of consumer trends, business actors are required to continue to innovate in terms of design, function, and marketing. This study uses a qualitative descriptive approach with data collection techniques through in-depth interviews, direct observation, and documentation. The results of the study show that Sonia Handcraft has succeeded in developing product innovation by adding aesthetic value, combining modern materials with traditional lace, and more attractive product packaging. The innovations carried out not only maintain local cultural values, but also increase product competitiveness in local and regional markets. The conclusion of this study shows that innovation is an important factor in the sustainability and development of craft-based MSMEs

The sustainability of traditional cultural industries is increasingly challenged by globalization, changing consumer preferences, and the rapid growth of digital markets. Majapahit Batik, a heritage-based craft rooted in the historical legacy of the Majapahit Kingdom in Indonesia, faces similar pressures in maintaining both its cultural authenticity and commercial relevance. This study aims to examine how heritage-based entrepreneurship and digital transformation contribute to the revitalization and market expansion of Majapahit Batik within Indonesia’s creative economy. Using a qualitative descriptive approach with a case study design, the research investigates three batik micro, small, and medium enterprises (MSMEs) located in Mojokerto: Batik Majapahit Negi, Batik Sekar Arum, and MyDebz Batik. Data were collected through in-depth interviews, field observations, and document analysis of digital marketing content. The findings reveal three key strategies driving the revitalization of heritage batik: (1) product innovation that reinterprets traditional Majapahit motifs through contemporary designs while preserving cultural symbolism; (2) digital transformation through social media, online marketplaces, and digital branding that expands market reach beyond local boundaries; and (3) cultural storytelling that communicates the historical and philosophical meanings of batik motifs, strengthening brand authenticity and consumer engagement. The study demonstrates that the collaboration between heritage values, creative innovation, digital technologies, and narrative branding forms a sustainable model of cultural entrepreneurship for traditional craft industries. The findings suggest that heritage-based industries can remain competitive in the modern creative economy when cultural preservation is integrated with innovation and digital strategies. These insights provide practical implications for artisans, creative entrepreneurs, and policymakers seeking to sustain cultural heritage while promoting inclusive economic development.

Training in social media and financial literacy is crucial for enhancing the capabilities of micro, small, and medium-sized enterprises (MSMEs), especially traditional craft businesses like Sulaman and Silver Cici Koto Gadang MSME. The objective of this study is to examine the impact of these training programs on attitude formation, subjective norms, and perceived behavioral control, as outlined by the Theory of Planned Behavior (TPB). Through a qualitative approach involving participatory observation, in-depth interviews, and pre- and post-tests, the study reveals significant improvements in participants' ability to manage digital marketing and understand financial risks, particularly concerning illegal online loans. The results suggest that positive attitudes toward social media as a strategic marketing tool are emerging, along with a deeper understanding of financial management and the identification of illegal lending practices. Stronger perceived behavioral control, as demonstrated by increased post-test scores, encourages MSMEs to adopt safer financial practices and sustain digital marketing efforts. Overall, this study confirms that integrated interventions are effective. These interventions combine digital skills training and financial literacy. They effectively strengthen MSME resilience and competitiveness in the digital economy.

This research investigates the content strategy of traditional craft MSMEs (Micro, Small, and Medium Enterprises) in response to engagement instability on TikTok. The study's significance lies in its effort to fill the literature gap regarding the impact of algorithmic uncertainty on the creative decisions of micro-entrepreneurs. Its objective is to analyze the meaning and adaptation strategies employed by the owner of "Tas Anyaman Bu Erte" (Bu Erte's Woven Bags) in managing fluctuations in audience involvement. Utilizing a qualitative case study approach, the research findings reveal that a reactive response to engagement instability actually triggers a simplification of content into static formats, which further decreases interaction. The findings indicate that audiences value content that transparently showcases the craftsmanship process more highly than content that merely follows viral trends. The study's implication suggests the necessity of shifting focus toward a hybrid content strategy that balances trend adaptation with product quality education to build sustainable customer trust.

The Medali Mas ikat weaving craft in Bandar Kidul, Kediri City, is one of the creative economic sectors that has great potential to be developed. However, limitations in product marketing and promotion are the main obstacles to sustainability and increasing business competitiveness. This community service activity aims to increase the capacity of Medali Mas micro, small and medium enterprises (MSMEs) through the development of e-catalogs as a modern promotional media. The implementation method uses the ABCD (Asset-Based Community Development) approach, which involves identifying local potential, training in creating e-catalogs, and digital marketing assistance. The results of the activity show that the e-catalog has succeeded in increasing product visibility and simplifying the marketing process. Evaluation shows an increase in transactions of up to 30% after implementing the e-catalog. This program proves the importance of digital technology in supporting the transformation of traditional MSMEs towards a wider and more competitive market.

This study investigates how digital marketing shapes the income of Micro, Small, and Medium Enterprises (MSMEs) engaged in songket weaving in Ungga and Sukarara Villages in Central Lombok Regency, West Nusa Tenggara Province, Indonesia. Songket weaving is a culturally embedded craft, but its market prospects increasingly depend on visibility and engagement in digital channels. Using a quantitative design, data were collected from 100 songket weaver MSMEs through structured questionnaires and analyzed using partial least squares-structural equation modeling (PLS-SEM). Digital marketing is conceptualized through five dimensions, accessibility, interactivity, entertainment, trust, and informativeness, while MSME income is measured by monthly revenue and profit. The measurement model demonstrated satisfactory convergent and discriminant validity, as well as high reliability across all indicators. The structural model shows that digital marketing has a strong and statistically significant positive effect on MSME income (β = 0.747; p < 0.001), explaining 55.8% of the variance (R² = 0.558) with high predictive relevance (Q² = 0.671). These findings confirm that more intensive and higher-quality use of digital channels is associated with higher income for the songket weavers. The study concludes that targeted interventions, such as digital marketing training, content creation support, and facilitation of social media and marketplace usage, are critical to enhancing the competitiveness, resilience, and livelihood outcomes of traditional craft-based MSMEs in peripheral tourism regions like Central Lombok. This study contributes to the MSME and digital transformation literature by providing destination-specific evidence from a craft cluster in an emerging economy context and offering an empirically grounded basis for designing local government and development agency programs for the digital empowerment of artisans.

Small and medium-sized textile enterprises (SMEs) in Varanasi and Kanpur navigate competing institutional pressures as they seek to reduce contributions to Ganges River pollution while sustaining economic viability within global supply chains. Drawing on phenomenological interviews with 20 textile entrepreneurs, this study illuminates the lived experience of reconciling environmental responsibility with economic survival.Three central tensions emerged through interpretive analysis: the hybridization of traditional craft knowledge with modern green technologies amid resource constraints; the conflict between global market demands for low-cost, rapid production and local sustainability commitments; and the challenge of operating within fragmented regulatory environments characterized by outdated infrastructure and policy uncertainty. The analysis suggests that SMEs employ situated bricolage strategies, combining traditional practices, incremental technological adoption, and informal collective action to navigate institutional voids. This interpretive engagement contributes to sustainability transitions literature by illuminating how bottom-up transitions in resource-constrained contexts require creative recombination of cultural, economic, and environmental logics rather than solely technological innovation. The findings advance understanding of how micro-level actors make sense of and respond to macro-level institutional contradictions, particularly when formal regulatory support remains weak and market pressures intense. Practical implications suggest that effective environmental governance in textile industries may require policy frameworks recognizing SME heterogeneity, providing differentiated financial mechanisms, and bridging disconnects between global sustainability standards and local production realities.   Received: 20 January 2026 / Accepted: 28 February  2026 / Published: March 2026

This study examines the relationship between distribution channels and innovation strategies in driving the growth of Micro, Small, and Medium-sized Enterprises (MSMEs) in the bakery industry of Northern Mindanao, Philippines. Using a qualitative approach, the research analyzes 10 key informant interviews to identify critical themes. Findings highlight the strategic importance of situating stores in high-traffic areas, process innovations to reduce waste and maintain product freshness, and technological upgrades to boost operational efficiency. Adopting hybrid distribution models such as combining traditional and digital methods was especially impactful during the COVID-19 pandemic as these enabled bakeries to sustain operations despite significant disruptions. However, limited internet access and low digital literacy remain key barriers to fully capitalizing on digital platforms. This study emphasizes the synergistic relationship between customer-focused innovation and adaptive distribution strategies, which enhances market reach, revenue growth, and customer loyalty. The research concludes that aligning innovation with tailored distribution channel investments, such as modern equipment and capacity-building programs, positions MSME bakeries for sustainable growth and resilience in a competitive market. These findings offer valuable insights for stakeholders, including policymakers and industry leaders, aiming to strengthen MSMEs and promote regional economic development in evolving and challenging business environments.

Digital transformation plays a critical role in supporting the sustainability and competitiveness of local enterprises in rural and tourism-based regions. This study explores the development of a digital platform designed to enhance the marketing capacity of Micro, Small, and Medium Enterprises (MSMEs) in Baturiti Village, Bali. In response to limited digital visibility and market access among local entrepreneurs, a website was created to serve as a centralized platform that integrates business profiles, product galleries, WhatsApp communication, and Google Maps navigation. Using a descriptive qualitative approach, the research involved five selected MSMEs representing various sectors such as traditional food, retail, and crafts. The findings indicate that the platform effectively supported MSME digitalization through three core strategies: digital marketing integration, product quality presentation, and product diversification. The website not only increased visibility and customer engagement but also fostered community-based empowerment and collaboration. This model offers practical insights into how localized digital tools can bridge the digital divide and support inclusive economic development in rural tourism areas.

Women-led micro, small, and medium enterprises (MSMEs) in traditional crafts play a crucial role in preserving cultural heritage and fostering local economic resilience, especially in border regions. However, the sustainability of these enterprises is often challenged by limited technological access and low digital literacy. This study aims to examine the influence of sustainopreneurship knowledge and Virtual Reality (VR) literacy on the perception of business sustainability among female Songket Cual artisans in Sambas District, West Kalimantan. Utilizing a quantitative, associative approach, data were collected from 50 respondents through structured questionnaires and analyzed using multiple linear regression. The results reveal that both independent variables significantly affect the perception of business sustainability (F = 59.523; p < 0.001; R² = 0.616). Sustainopreneurship knowledge and VR literacy synergistically strengthen sustainability perceptions, particularly in terms of innovation, business resilience, and adaptability to technological change. These findings underscore the importance of integrating local cultural values with technological innovation as a strategy for empowering women-led MSMEs in marginalized regions. The study contributes theoretically to the development of a technology-based sustainopreneurship model and offers practical recommendations for designing effective interventions to support the sustainable transformation of culture-based microenterprises.

This community service activity aims to enhance the capacity and competitiveness of Micro, Small, and Medium Enterprises (MSMEs) consisting of local artisans in Sepakek Village through digital marketing training. The development of digital technology offers significant opportunities for MSMEs to expand their markets; however, many business actors in rural areas are still unable to utilize technology optimally. The implementation methods include needs assessment surveys, face-to-face training, practical mentoring, and evaluation of training outcomes. The materials provided cover the creation of digital promotional content, the use of social media for marketing, product photography, and online selling strategies through marketplaces. The training participants consisted of 25 local artisans engaged in bamboo crafts, weaving, and traditional textiles. The results of the activity show a significant increase in participants’ understanding and skills related to digital marketing. A total of 80% of participants successfully created business accounts on social media and independently published their products, while 60% gained new interactions and potential buyers through online platforms. With this training, local artisans are expected to increase their sales turnover, expand market reach, and strengthen the image of local products from Sepakek Village. This program serves as an initial step toward MSME digital independence and the strengthening of the local potential–based economy.

The advancement of information technology has created significant opportunities to enhance efficiency and modernization, including in the Micro, Small, and Medium Enterprises (MSME) sector. MusiCraft, an MSME in Palembang, is engaged in woven crafts and food products, but faces various operational challenges, including manual sales methods, traditional transaction recording, and limited product promotion. This study aims to design and develop a web-based sales information system to address these challenges. Through this system, customers can easily access product information, make purchases, and utilize modern payment methods. For business operators, the system offers features for stock management, automatic transaction recording, and a customer loyalty program that rewards customers. The research employs the Research and Development (R&D) method with a prototype approach, involving users to ensure the system meets their needs. The study results indicate that the web-based information system enhances operational efficiency, expands market reach, and strengthens MusiCraft’s competitiveness in the digital era. The implementation of this system is expected to support MSME sustainability and provide a better shopping experience for customers.

Purbayan Tourism Village is one of 17 tourist villages that received a decree from the Yogyakarta City Government, located in Kotagede. This area has a unique cultural potential that exhibits both historical and cultural wealth  in the form of traditions that exist even today. These traditions include traditional culinary arts, silversmithing and batik craft. However, the potential of this cultural heritage is not visible when compared to the development of the Purbayan Tourism Village. Promotional efforts from business groups and tourism are lacking synergy. Based on these problems, this community service activity aims to assist Micro, Small and Medium Enterprises (MSMEs) to design synergistic tourism promotions. MSMEs that became community service partners are Kopi Lumbung Mataram culinary shop and Studio 76  silver art school. The implementation of this activity uses a user-centered approach to design thinking. In this method, partners as users are actively involved in Focus Group Discussions and workshops on content design and tourism promotion strategies in synergy. The activities described in this paper are understanding, observing, defining point of view, and ideation phase of design thinking. The activity resulted in the promotion concept of Studio 76 silver art school in the form of a draft booth design for silver making exhibitions and photography designs for culinary products of Warung Kopi Lumbung Mataram. Promotion synergy between the two MSMEs is carried out by combining the two tourism service products into an interactive exhibition. The collaboration of these MSME’s aims to promote and increase the number of visitors to the area.

Technological developments have brought changes to product marketing and sales, especially for Micro, Small and Medium Enterprises (MSMEs). This research aims to develop an E-Commerce based sales strategy for MSMEs in the craft sectors in Padang City, as an effort to increase competitiveness and expand market access. This research uses a qualitative approach with data collection techniques through interviews, field observations and literature studies. The results of this research show that the application of E-Commerce can bring various benefits to MSMEs, such as operational cost efficiency, increased access to a wider market and more effective marketing opportunities. However, these craft and MSMEs also face several challenges, such as limited technological knowledge so that the owners of these MSMEs still promote their products traditionally and are not widely known by the public, logistical constraints and access to digital infrastructure. As a solution, this research recommends developing a sales strategy that includes training on how to use e-commerce platforms, optimizing social media for promotions, and partnering with local logistics partners. The implementation of this strategy is expected to help craft MSMEs and incubators in Padang City utilize the potential of E-Commerce to the fullest to increase sales and support regional economic growth.

Gold smith artisans are part of the Small and Medium Industry (IKM) that plays a strategic role in the national economy, but still faces various challenges in improving welfare. Industrial clustering is seen as an approach to improve the competitiveness and business performance of craftsmen. The Sekarbela gold craftsmen cluster in Mataram City, West Nusa Tenggara, is one of the important centers of gold and pearl crafts, but empirical studies on the effect of clustering on the welfare of craftsmen are still limited. This study aims to analyze the impact of Inter-artisan collaboration, access to resources, external support, and cluster infrastructure on the welfare of artisans, as well as to examine the mediating role of business performance. The study uses a quantitative descriptive approach with the Structural Equation Modeling–Partial Least Square (SEM–PLS) method through SmartPLS software. The results show that access to resources has a positive and significant effect on business performance and the welfare of artisans, while inter-artisan collaboration, external support, and cluster infrastructure do not have a significant effect. Furthermore, business performance does not mediate the relationship between clusterization elements and artisan welfare. This study concludes that optimizing access to resources is a key factor in improving the business performance and welfare of gold artisans.

This study presents a circular economy approach to artisan soap production using recycled cooking oil as the primary raw material. The business model was developed under the CANVAS framework and integrated with quantitative optimization methods to design an efficient supply chain. The p-median method and the Capacitated Vehicle Routing Problem (CVRP) were applied to identify optimal collection points and minimize travel distances in the logistics process. Financial feasibility was assessed through an analysis of initial investment, production costs, selling price, and profit margins. Results indicate that the model is technically viable, economically profitable, and environmentally sustainable, with a return on investment (ROI) achieved in approximately five months. This integrated approach demonstrates how waste valorization can contribute to sustainable entrepreneurship, local economic development, and environmental conservation, highlighting its potential for replication in other regions

In the digital age, digital operation management has become a key strategy for enterprises to enhance their core competitiveness. This paper explores in depth the implementation strategy of digital operation management based on the concept of financial integration. First, it analyzes the connotation and mutual relationship between financial integration and digital operation management and points out that financial integration provides the basis for data and business collaboration for digital operation management, and digital operation management is an important means to further promote financial integration. Then, from building a unified data platform, strengthening real-time data sharing and analysis, optimizing resource allocation models, strengthening cost control, and improving enterprise incentive mechanisms, it provides reference and reference for enterprises to realize efficient operation management based on the concept of financial integration in the process of digital transformation.

This research aims to explore the influence of digital marketing and innovative products on the long-term success of small and medium-sized enterprises in the Greater Sukabumi region. Digital marketing is defined as an effective and efficient method of promoting products through digital channels, while product innovation focuses on developing or refining products to meet the changing needs of the market. The research method involved 35 culinary MSME players who use at least one digital marketing application, with data collection through questionnaires. The analysis of the data involved a thorough examination of validity and reliability, complemented by multiple linear regression analysis. The study's findings reveal that digital marketing significantly influences the sustainability of business operations, evidenced by a regression coefficient of 0.284. Furthermore, the research highlights that product innovation exerts an even more profound effect on business success, as indicated by a coefficient of 0.447. The F test showed that the overall regression model was significant, with an F value of 59.279 (p < 0.001). These findings are consistent with the literature showing that digital marketing adoption and product innovation are key factors in improving MSME competitiveness and performance. This study recommends improving access to technology and digital training for MSMEs, as well as collaboration with educational institutions to encourage product innovation. The limitations of this study lie in the limited number of samples and the absence of in-depth analysis of other factors that affect business continuity.

With the intensification of market competition and the increasing diversification of consumer demand, business operations, as a key link connecting the market and consumers, are particularly important for innovation and optimization. This article analyzes the current situation of business operations, explores the problems faced in the process of innovation and optimization, and proposes effective strategies, including strengthening technology integration and innovation, building personalized service systems, etc. In order to provide useful references for enterprises to improve operational efficiency and enhance market competitiveness.

Predictive Business Analytics (PBA) is the data-driven approach which involves statistical modeling, machine learning algorithms as well as the past history of data to improve strategic decision making for the betterment of the organization. With market dynamics becoming more and more complex, predictive analytics adoption is becoming an absolute necessity in order to enhance the decision making time, accuracy in forecasting and reducing the cost of operations. This paper takes a look on the level of PBA adoption across industries and the impact it has on the key business performance indicators. Quantitative research design based on a survey was used to collect data from 250 professionals from different sectors such as finance, retail, healthcare, manufacturing and technology. Key observations were made with an analysis of descriptive statistics, correlation analysis, multiple regressions and ANOVA to establish relationships between chosen predictors and organizational outcomes. Understanding that organizations that use predictive analytics provide 76.6% improvement in forecasting accuracy and 73.3% improvement in decision making speed and as a result are able to increase agility of strategic operations. Nevertheless, difficulties of integration (56.8%), skill shortages (51.4%), and high implementation costs (47.9%) were considered as bottleneck to extensive uptake. The result of the studies illustrates industry-wide discussion over developing workforce development and better infrastructure, as well as incorporating AI and automation into predictive analytics. As predictive analytics are part of business intelligence and business optimization, the body of knowledge on reporting their role empirically for users is growing, and this study provides an example. Insights can be helpful in making efforts in refining the use of analytics in an organization, improving the level of competitive advantage therefore increasing the long term sustainability of that organization in such data driven environment. Future research is conducted on models of adoption specific to the sector and the evolving effect of AI in predictive business analytics.

Introduction: This study aims to develop a comprehensive digital marketing optimization model specifically designed for Islamic boarding schools in East Java, a province with a high concentration of Islamic boarding schools and their associated business units. The intense competition among these schools necessitates the adoption of digital transformation to enhance the effectiveness and competitiveness of their business operations. Methods: Utilizing qualitative methods and the Analytic Network Process (ANP) for data analysis, this study identifies critical internal challenges, such as low product quality, and external threats, including competition from larger enterprises. The research also explores alternative strategies to address these challenges. Results: The findings indicate that the primary barriers to effective digital marketing stem from both internal and external factors. Strategic solutions are proposed, including the implementation of Search Engine Optimization (SEO), social media marketing, and targeted advertising through platforms like Google Ads. Moreover, the study highlights the importance of continuous mentoring and counseling to support the successful application of these strategies. Conclusion and suggestion: This research provides valuable insights into leveraging digital marketing to enhance human resource potential and improve product quality, thereby fostering economic empowerment within Islamic boarding schools and increasing their competitiveness.

Big Data and Business Intelligence (BI) taken together have become a powerful instrument for promoting sustainability and risk reduction in modern supply chains. This study investigated how BI tools enhanced operational efficiency and decision-making while simultaneously supporting environmental and financial performance. Four numbers showed the degree and influence of BI use in practical supply chain. Key BI capabilities real-time monitoring (85%), predictive analytics (90%), demand forecasting (80%), and risk identification (75%), provided actionable insights to maximize operations. Companies who can see disruptions, flexible shift logistics, and match inventory with real demand will naturally be more sustainable and adaptable. Over the five resilience criteria, conventional and BI-enhanced systems underlining the combined benefited of BI in supporting green practices while improving profitability, CO₂ emissions fell by 30%, waste dropped by 40%, and running expenses dropped by 35%. The BI-enhanced model performed better than in lead time reduction, inventory turnover, disturbance reaction time, supplier risk score, and customer satisfaction verifying its capacity to establish responsive and strong supply chain. The difficulties to adoption yet with high degrees for trade-offs (70%), stakeholder resistance (75%), and technological limits (80%). Notwithstanding these challenges, most solution-oriented approaches (rated at 50%) pointed out coordinated efforts helping to eradicate several problems. Focusing data standardizing, Environmental, Social, and Governance (ESG) compliance, and cooperative platforms, the study ended with strategic and policy recommendations for companies, legislators, and supply chain partners. The results validated that, with proper integration, Big Data and BI have a transforming capability to achieve supply chain sustainability, resilience, and long-term value in the digital age. 

Small businesses often face challenges in leveraging data-driven strategies due to resource constraints, limiting their ability to optimize operations, forecast finances, and retain customers effectively. This study presents a machine learning framework designed to support small business management by focusing on key areas: customer retention, financial forecasting, customer segmentation, and inventory management. Utilizing real-world small business data, we evaluate various machine learning models, including Random Forest, Gradient Boosting, K-Means Clustering, Lasso Regression, and ARIMA, to determine the optimal algorithms for each business function. Our findings reveal that Random Forest excels in customer retention, Lasso Regression performs well in financial forecasting, K-Means effectively segments customers, and ARIMA accurately predicts inventory requirements. By integrating these models into a cohesive framework, small businesses can gain actionable insights without the need for extensive computational resources. This framework thus enables small businesses to implement cost-effective, ethical, and interpretable machine learning solutions, empowering them to compete more effectively in data-driven markets. This research contributes to the growing field of AI in small business, providing a practical approach for deploying machine learning models that meet the specific needs of small enterprises.

The incorporation of machine learning tactics into commercial procedures heralds a paradigm-shifting period in which enterprises harness cutting-edge technology to maximise productivity, cultivate flexibility, as well as elevate client experiences. This paper examines the many applications of machine learning, demonstrating its contribution to automation, increased productivity, and customized client experiences. In terms of methodology, to comprehend the complex relationships between business processes and machine learning, an interpretivist approach is used. Using a framework for deductive reasoning, the study uses secondary data sources, such as academic journals and case studies, to confirm as well as enhance preexisting beliefs. The investigation reveals machine learning's analytical strength in identifying recurring patterns and patterns, its critical function in automation to free up human resources for strategic projects, and its forecasting power for resource optimization. Machine learning integrated into business processes provides a flexible toolkit that can be tailored to satisfy the demands of individual organizations. The case studies of Amazon, Google, and Netflix provide empirical evidence that supports the practical application of machine learning in optimizing operations, improving user experiences, and promoting and cultivating consumer loyalty. This report sheds light on how machine learning is influencing a paradigm change regarding the way businesses operate. Organizations that embrace this technology transformation are positioned to be trailblazers, resilient, and innovative, ready to navigate the future.

PurposeCrafts embody the history and heritage of their country of origin and can play an essential role in the country's socioeconomic development by providing significant job opportunities for the rural population. This article investigates the significant challenges that artisan entrepreneurs face when creating, communicating and selling handcrafted goods to potential customers in emerging economies. This study attempted to rate the impediments based on their severity using the voices of artisan entrepreneurs.Design/methodology/approachA mixed-method approach combining qualitative and quantitative data analysis was followed to identify the leading causes of the artisans' pain points. In the first phase, empirical observations were gathered through focus group discussions with artisan entrepreneurs, and the identified factors were quantitatively ranked using the analytic hierarchy process in the second phase.FindingsThe mixed-method research assisted in identifying the primary constraints affecting the efficient and effective operation of the artisan-driven small handicraft business. This study identified six factors that were ranked based on the voices of artisan entrepreneurs during the survey, as barriers to effective handicraft marketing.Originality/valueFew studies on the handcraft industry have sought to explore the issues faced by artisan businesses holistically. The voices of artisan entrepreneurs were gathered for this study to identify and rate the present obstacles influencing the functioning of small handicraft firms in emerging nations. Handicraft marketing will become more effective and efficient if these barriers are removed.

Transportation plays a vital role in business operations, as it is essential for product distribution to maintain profitability. Optimizing distribution routes is crucial to reducing transportation costs, travel time, energy usage, and resource allocation while maximizing efficiency. Micro-entrepreneurs, particularly settled retailers, often face challenges in determining optimal travel routes, resulting in inefficiencies in product distribution. This issue is classified as a Traveling Salesman Problem (TSP), which involves finding the shortest possible route connecting several locations before returning to the starting point. To address this problem, this study applies a two-step approach: the greedy algorithm to provide an initial solution and the genetic algorithm for further optimization. The research employs both manual calculations and MATLAB 2018A software to solve the TSP. Results demonstrate that the optimized route reduces the travel distance by 1,260 meters compared to the initial solution, highlighting significant improvements in operational efficiency.

This study examines how different dimensions of environmental turbulence (technological, market and competitive) influence business model innovation (BMI) in emerging economies and how digital transformation (DT) moderates these relationships. Anchored in contingency theory and informed by the concept of reverse agency, the study explores how DT enables firms to shift from reactive to proactive strategic responses under turbulence. It analyses the impact of DT on value creation, proposition and capture mechanisms and their implications for firm performance. The research contributes to understanding how digitally enabled firms in volatile contexts reconfigure innovation pathways to improve adaptive capacity. Based on data from 271 Colombian firms, a partial least squares structural equation model was developed to assess how turbulence – comprising technological, competitive and market turbulence – affects the three dimensions of BMI (value creation, value proposition and value capture) and firm performance. A multigroup analysis compared the responses of exporting and non-exporting firms. We found that digital transformation significantly moderates the relationship between environmental turbulence and BMI, and BMI positively influences performance. Exporters and non-exporters differ in their adaptive strategies: exporters use digital transformation to enhance value creation and performance, while non-exporters emphasise internal value capture mechanisms. The study introduces the managerial action model for business innovation (MAMBI) framework – a five-step, evidence-based guide to help firms align digital transformation and business model innovation with environmental turbulence. It offers actionable tools and KPIs, particularly valuable for SMEs in emerging markets aiming to enhance strategic adaptability and performance. This is among the first studies to disaggregate both ET and BMI while modelling DT as a moderating variable. By integrating contingency theory and agency reversal, the study provides a novel framework for understanding digital adaptation in turbulent environments. The multigroup analysis offers new insights into how internationalisation conditions shape adaptive strategies, extending the contingency theory literature on digital transformation.

The COVID-19 pandemic has created a new lens on economies especially the SMEs in emerging markets. These businesses have struggled for example through changes in customer palate, supply chain shocks, financial constraints amidst limited access to both capital and technology. In response, many SMEs have embarked on Business Model Innovation (BMI) which involves redesigning a firm’s value proposition and delivery logics in order to adapt to the new post-pandemic reality. This change very much entails embracing technological tools that will enable the business to continue running and responding to customers’ needs accordingly. However, there are challenges associated with this shift especially to SMEs most of which includes provide of funds, managerial skills and market risks. SMEs therefore need to acquire dynamic capabilities which enhance their operational capabilities to deal with external change. The purpose of this research is to analyse the way in which BMI has been adopted by SMEs in emerging markets, to secure business sustainability and competitiveness under the conditions created by the COVID-19 proliferation and its impact. Through assessing the practices like digitalization, customer relationship management and product differentiation the study aims to determine appropriate management solutions that can allow SME endure in the modern era typified by frequent global integration. The results should offer significant information to authorities and managers aiming to help SMEs improve their stability and development despite further economic risks.

Despite the growing consensus on the positive value of digital transformation (DT) to business model innovation, there remains a lack of a comprehensive understanding about whether this positive influence can be sustainable. Drawing on the corporate behavioral theory and prospect theory, we examine a combination of dual impact mechanisms of DT on business model innovation, emphasizing the moderating role of aspiration performance gaps (APGs). Using a sample of A‐share listed firms in China from 2013 to 2022, we show the dark sides of DT and disclose that DT has an inverted U‐shaped relationship with business model innovation. Notably, negative APGs exert a stronger moderating effect than positive APGs, accelerating the attainment of peak business model innovation at a lower degree of DT. We also highlight that the inverted U‐shaped relationship shows a lower turning point and a larger opening in the Eastern region compared with that in the whole region; large firms tend to experience the shift from the “bright sides” to the “dark sides” earlier than SMEs. This study clarifies the intrinsic mechanisms between DT and business model innovation, offering practical guidance to avoid the pain points of DT and achieve business model innovation.

In this study, we investigate how small and medium-sized enterprises (SMEs) engage in business model innovation in response to technology shifts, and the ensuing impact of this innovation on performance. Using structural equation modeling, we analyze data from a survey of 1328 European SMEs and find that technological turbulence affects the scope and novelty of business model innovation, and that these dimensions of innovation in turn affect firm performance. We show that these relationships are doubly contingent: both SME size (micro, small, or medium) and time since market entry are relevant. Early entrant firms are more responsive to technological turbulence through both dimensions of business model innovation, as the learning accruing in these SMEs since market entry motivates and informs business model innovation. There are meaningful differences in these relationships for micro, small, and medium-sized enterprises. Our findings advance the theoretical understanding of the relationships between technology, entry order, business model innovation, and performance and also serve to inform managers’ estimations of the implications of technology turbulence and business model innovation for performance.

The Philippine clothing industry is undergoing a rapid shift toward digital transformation; however, small and medium-sized enterprises (SMEs) face challenges in sustaining their competitiveness. This study examines how value creation, value delivery, and value capture shape digital retail performance, addressing gaps in empirical evidence for emerging markets. The study employed a descriptive–correlational design and quantitative analysis, surveying 94 purposively selected SME respondents in Metro Manila. Data were analyzed using multiple regression and mediation–moderation tests. The theoretical framework integrates Service-Dominant Logic, Value Chain Theory, and Transaction Cost Economics to explain the dynamics of digital business models. Findings reveal that value creation, value delivery, and value capture each have significant positive effects on digital retail performance. Mediation analysis highlights the role of customer satisfaction, loyalty, and perceived quality, while moderation analysis confirms the influence of firm size, capitalization, and technological readiness. The results validate a contextualized Digital Retail Business Model tailored to the Philippine clothing sector. The study contributes to business model innovation literature by providing empirical evidence from a developing economy. Practically, it provides SMEs and policymakers with actionable insights for strengthening digital competitiveness, enhancing customer engagement, and promoting inclusive industry growth.

The global shift toward decarbonization and the rise of the digital economy are compelling manufacturing firms to undergo a complex twin transformation across their structures, operations, and value chains. Business model innovation (BMI), especially in digital servitization (DSBMI), emerges as a crucial catalyst in facilitating this change. However, there is a lack of systematic exploration of how DSBMI influences corporate decarbonization (CD). To fill this knowledge gap, a comprehensive qualitative meta-analysis of 27 case studies was conducted, identifying multiple DSBMI practices for CD employed by industrial firms. These practices can be summarized into three main types: efficiency DSBMI, novelty DSBMI, and convergent DSBMI. A system has at least two of these, while all three may coexist. Based on dynamic capabilities theory, this study also introduces six roles for the three types of DSBMI practices, which interact to help firms sense opportunities, seize them through BMI, and transform their operations and ecosystems—collectively enabling decarbonization through internal optimization (efficiency DSBMI), downstream innovation (novelty DSBMI), and value chain-wide cooperation (convergent DSBMI). The findings offer a comprehensive theoretical framework that guides companies to achieve economic benefits while advancing their CD goals through multi-level BMI strategies. Finally, the study discusses its limitations and proposes directions for future research.

SMEs, including cultural and creative firms, are encountering increasingly difficult obstacles in today's competitive landscape. In particular, during the COVID-19 pandemic, these SMEs had to confront significant challenges that endangered their survival, requiring a shift in their business model. Many successful firms responded to this crisis by adopting business model innovation (BMI) as a strategic solution. The pandemic also emphasised the importance of sustainable practices and the necessity to enhance readiness for and responsiveness to future challenges. This study proposes examining Sustainable Business Model Innovation in the light of the Theory of Planned Behavior. While some studies have explored BMI through the TPB framework, we expand the interpretative schema by introducing an additional predictor: the influence of open innovation ecosystem partnerships. From an open innovation perspective, the new construct proposes how peer professional organisations and technological clusters play a significant role in managers' intentions to implement SBM. A purposive sample of 122 Spanish cultural and creative firm managers and business owners was surveyed and analysed using PLS-SEM. The data collected supports the model and supports the prominent role of open innovation environments as a mediation effect of the intention to implement a sustainable and innovative business model. The study adds new insights into the theoretical framework to better understand the implementation of sustainable business models' innovation actions, with specific support for the role of open innovation ecosystems such as professional organisations and technological clusters. Practitioners and open innovation ecosystem promoters can gain new clues for initiatives to promote the diffusion of innovations among creative and cultural SMEs.

Abstract The transition towards circular economy means a radical systemic shift that requires re-design and innovation of business models. However, this radical systemic shift also creates high levels of uncertainty, which pose challenges to the circular business model innovation (CBMI) process. Using the transition towards circular plastics as a case context, this study aims to conceptualize different forms of uncertainty affecting CBMI, and to link them with approaches for managing these uncertainties. Based on interviews with incumbent manufacturing firms that have transitioned to circular plastics, or are in the process of doing so, we identified three domains of uncertainty: goal uncertainty, development uncertainty, and outcome uncertainty. We discuss the nature and sources of these uncertainties, and present different approaches chosen by manufacturers to manage these uncertainties in the context of their business. Our findings highlight the complex nature of uncertainty, and the importance of a nuanced consideration of uncertainty as a factor in the CBMI process. Moreover, our mapping of core uncertainties for CBMI and approaches to manage these uncertainties can guide practitioners in the innovation process.

The Fourth Industrial Revolution (4IR) heralds a transformative era characterized by the integration of advanced technologies such as Artificial Intelligence (AI) into various sectors, notably supply chain management. This paper explores how AI optimizes supply chains, enhancing efficiency, responsiveness, and resilience from a business model perspective. Traditional supply chain models often face challenges such as demand variability, inventory management, and logistical inefficiencies. By harnessing AI technologies, businesses can address these challenges through improved data analytics, predictive modeling, and automation. AI-driven supply chain optimization involves the utilization of machine learning algorithms and big data analytics to forecast demand accurately, enabling businesses to adjust their operations proactively. This shift from reactive to proactive supply chain management fosters agility, allowing firms to respond to market fluctuations swiftly. Furthermore, AI enhances visibility across the supply chain, facilitating real-time tracking of inventory levels, order status, and supplier performance. This transparency enables organizations to identify potential bottlenecks and mitigate risks effectively. The research highlights several AI applications in supply chain optimization, including automated inventory management, predictive maintenance, and intelligent logistics. Automated systems reduce human error and operational costs, while predictive maintenance minimizes downtime by anticipating equipment failures. Intelligent logistics solutions, powered by AI, optimize route planning and delivery schedules, enhancing overall operational efficiency. However, the successful implementation of AI in supply chains also poses challenges, such as the need for significant investments in technology and infrastructure, data privacy concerns, and workforce adaptation to new technologies. This paper discusses these challenges and provides recommendations for businesses to navigate them effectively. In conclusion, AI presents substantial opportunities for optimizing supply chains in the context of 4IR. By adopting AI-driven approaches, businesses can create more resilient and efficient supply chains, ultimately driving competitive advantage and sustainability in a rapidly evolving market landscape.

This study aims to investigate the impact of business model innovation on enhancing company competitiveness in the context of the digital era. As companies increasingly face challenges from rapid technological advancements and evolving consumer preferences, the need for strategic innovation becomes paramount. Business model innovation defined as the process of redesigning a company's core logic for creating and capturing value has been recognized as a key lever for maintaining relevance and achieving competitive advantage. Employing a descriptive quantitative research design, this study collected primary data through structured questionnaires administered to 90 respondents who are customers of the SRC Fitri store. Simple linear regression analysis was conducted to examine the relationship between business model innovation (independent variable) and company competitiveness (dependent variable). The analysis revealed that business model innovation has a statistically significant impact on competitiveness, accounting for 51.4% of the observed variance. The remaining 48.6% is attributed to other external factors not examined within this study. These findings underscore the strategic importance of business model innovation as a central factor in navigating digital disruption and market volatility. Companies that are able to rapidly innovate their business models in response to technological change and shifting customer demands are more likely to sustain long-term competitive advantage. This study contributes to the growing body of literature on strategic innovation and offers practical insights for business leaders seeking to strengthen their firm's adaptive capacity and competitiveness in the digital age.

A novel competitive landscape requires managers to innovate business models. Drawing on a theoretical framework that classifies Business Model Innovations (BMI), the paper contributes to the literature studying business model innovation toward sustainability in outdoor fitness equipment (OFE). The OFE is an empirical setting worth investigating because emerging trends disrupt the fitness industry. The Pandemic has shifted how these firms deliver their services. The concept of wellness has evolved from “being in shape” to “achieving a well-being state,” which includes mental, spiritual, and physical health. Differently from the pre-pandemic period, consumers’ focus is on feeling better rather than looking better physically. Relying on a case study approach and using multiple semi-structured interviews, the paper offers empirical evidence of BMI in the OFE. The company innovated its business model (BM), embracing novelty and differentiation and moving from rethinking customer segmentation. Further, the case shows how BMI widens value creation toward a sustainable path, generating social and environmental value. The value chain and the company's ability to partner with its suppliers are pivotal. While the challenges generated by changes in customers’ habits trigger the BMI, the suppliers’ know-how and alignment with the company’s value proposition drove the innovation toward a SBM. The paper contributes to the literature on BMI and SBM. The evidence allows future research to explore how partnerships among companies operating along the same value chain emerge for the sake of the BMI toward sustainability. Practical and managerial implications are offered.

We aim to understand how actors respond to field logic plurality and maintain legitimacy through business model innovation. Drawing on a longitudinal field study in the fashion industry, we traced how de novo and incumbent firms incorporate circular logics in business models (for sustainability) and uncover how the intersection between issue and exchange fields creates institutional complexity and experimental spaces for business model innovation. Our findings showed a shift in the discourse on circular logic that diverted attention and resources from materials innovation (e.g., recycling) to business model innovation (e.g., circular business models). By juxtaposing institutional complexity and external pressure to maintain legitimacy, we derived four strategic business model innovation responses—preserve, detach, integrate and extend—that illuminate how actors leverage shifting logics and innovate extant business models (for sustainability). We make novel contributions to the literature on organizational fields, business models for sustainability, and business model innovation.

Business sustainability is a factor that businesses, especially SMEs, are giving more and more thought to. Businesses are now looking for methods to integrate sustainable practices into their operations while keeping their business models intact as a result. This study primarily looks at how technology might improve company resilience in order to investigate the connection between SMEs’ business models and their pursuit of sustainability. To enable the study’s main goals be achieved, three hypotheses were developed. The study’s goal was explained using the Resource Based View Theory, Dynamic Capability Theory, and Institutional Theory. By combining purposive and convenience random selection approaches, the researchers performed a field survey of 420 SME operators in Nigeria in order to meet this goal. Smart PLS 3.0 was utilized in the study to evaluate the information gathered. Specifically, they assessed the extent and strength of the correlations between these constructs using path coefficients, t-statistics, R-square values, and p-values. According to the study, technology competence moderates the association between business model innovation and businesses’ resilience, indicating that by utilizing technological skills, business model innovation’s beneficial effects on a firm’s resilience may be amplified. The technology acceptance concept, which contends that adopting new technology may enhance organizational performance, is supported by this research. As SMEs frequently deal with budget limitations and technology difficulties, the study’s findings have significant significance for them. SMEs may be better positioned to survive upheavals and develop resilience by adopting new business strategies and utilizing technical skills. The study discovered that in order to increase their resilience, SMEs must actively adapt to fast-paced and competitive environments using their internal strengths. This indicates that SMEs must assess the value of innovation models in relation to their specific line of business. The study emphasizes the significance of the network interaction between technological innovation, business model innovation, and SMEs’ resilience. The capacity to use technology, which is essential for boosting SMEs’ resilience, strengthens this link. In summary, this study offers a current road map for technical development in the context of novel business models and the resilience of SMEs in Nigeria. This study offers helpful insights for SMEs looking to improve their business models and increase their sustainability in the face of shifting economic and environmental conditions by examining the connections between business model innovation, SMEs’ resilience, and technology.

Cloud technology adoption (CTA) serves as a key enabler of digital servitization and business model innovation (BMI) in business-to-business (B2B) manufacturing contexts, shifting firms from product sales to data-driven and outcome-based services. Guided by dynamic capabilities theory, this study aims to explore how organizational ambidexterity mediates the CTA–BMI link and how technological turbulence and internal information technology (IT) capability moderate this pathway. A moderated-mediation model is tested with survey data from 283 Chinese manufacturing firms. Ordinary least-squares regression and bias-corrected bootstrapping are used to assess direct, indirect and contingent paths. CTA positively influences organizational ambidexterity, which in turn drives BMI. Ambidexterity mediates the CTA–BMI link. Technological turbulence amplifies, whereas internal IT capability diminishes the impact of CTA on ambidexterity. This study advances B2B marketing and digital servitization scholarship by: (1) identifying organizational ambidexterity as the dynamic capability that turns cloud investments into viable business models and (2) showing how market turbulence and legacy IT capability jointly determine the returns on cloud-enabled innovation. The findings equip managers to align cloud technologies with ambidextrous routines and maximize customer value across shifting environments.

This study empirically explores the influence of innovation orientation on the digital supply chain, mediated by dynamic capabilities within the context of Small and Medium Enterprises (SMEs). This study, rooted in a comprehensive evaluation of dynamic capabilities and innovation orientation, introduces a framework that could serve as a valuable resource for subsequent research. It contributes to the global discourse on optimizing digital supply chain practices among SMEs. Quantitative method was employed, gathering data from 212 professionals in SMEs in Dubai, UAE, via an online questionnaire. The collected data were analyzed using SmartPLS 4, focusing on reliability, validity, discriminant validity, and hypothesis testing. The findings show a significant influence of innovation orientation on the digital supply chain. Dynamic capabilities also exhibit an indirect yet substantial impact on the relationship between innovation orientation and the digital supply chain. The identified dynamic capabilities are instrumental in refining decisions associated with the circular economy and leveraging technology to enhance supply chain mechanisms. These capabilities foster positive correlations between the digital supply chain and innovation. The predominant advantage of digital supply chains for consumers lies in their agility and speed, facilitating swift response to customer demand and bolstering business efficiency. The model presented is a template for future research, which could expand its scope to include other industries like manufacturing or services, augmenting the robustness of the findings.

Digital supply chains play an important role in improving the performance of small and medium enterprises (SMEs) in this digital era. There has been no research that analyzes the relationship between digital leadership, leadership, and partnerships. The aim of this research is to analyze the defect of digital supply chain implementation on logistics leadership and the impact of digital supply chain implementation on partnerships and logistics leadership partnerships. The method of this research is quantitative and data analysis uses structural equation modeling (SEM) partial least squares (PLS) using tools. SmartPLS 3.0 software data is used for processing the data. Research data is obtained by distributing online questionnaires to 589 SME owners in Indonesia determined using a simple random sampling method. The online questionnaire is designed using a Likert scale from 1 to 7 and distributed via social media. The stages of data analysis are validity testing, reliability testing and hypothetical testing. Based on the results of data analysis, it is concluded that digital supply chain implementation has a positive and significant effect on logistics leadership, digital supply chain implementation has a positive and significant effect on partnerships and logistics leadership had a positive and significant effect on partnerships. The novelty of this research is the creation of a correlation model for variable partnerships, logistics leadership and digital supply chain implementation. The managerial implication of this research is to encourage increased partnerships and logistics leadership and we conclude that SMES managers must implement digital supply chain implementation. The theoretical implication of this research is that a new correlation model of partnerships, logistics leadership and digital supply chain implementation in SMEs is created.

With the advent of the digital economy era, data, as a new production factor, is profoundly changing the way enterprises operate and their financial models. In the field of supply chain finance, the application of data promotes information transparency, reduces information asymmetry and transaction costs, and enables small and medium-sized enterprises (SMEs) to obtain financing more conveniently. However, the traditional supply chain finance model has problems such as difficulty in obtaining information and high cost of risk control, which leads to the low willingness of financial institutions to serve SMEs. This study explores how data asset capitalization empowers SMEs in digital supply chain finance through a case study of Shenzhen Uqian Information Technology Company Limited (Uqian Tech). It is found that data asset capitalization can not only directly provide financing for data service providers, but also indirectly empower SMEs in the supply chain by enhancing the information synchronization upstream and downstream of the supply chain and realizing the digital transformation of the production process and technological innovation.

Abstract This study aims to analyse the relationship between e-commerce and the business sustainability of the supply chain, as well as digital marketing variables and the business sustainability of the supply chain. The method used in this study is an associative strategy: business sustainability and financial performance, Digital banking and the financial performance of SMEs. The research method used in this study is a quantitative approach. This study uses a purposive sampling technique because sampling is carried out with specific considerations or criteria that must be met. The data collection method in this study was carried out by distributing questionnaires online through social media. Respondents in this study were 668 SME owners in Indonesia. The scale used to measure is a scale with an interval of 1 - 5, from strongly disagree to agree strongly. The data collection technique in this study uses a questionnaire by providing several written statements addressed to respondents, which will then be answered. Structural equation modelling is often called Partial Squares Structural Equation Modeling (PLS-SEM) with SmartPLS version 3.0. The results of this study show that the E-Commerce variable has a positive effect on the business sustainability of the supply chain, and digital marketing has a positive impact on the business sustainability of the supply chain. The supply chain of business sustainability has a positive and significant relationship to financial performance. Digital banking has a positive and significant relationship with the financial performance of SMEs.

Against the backdrop of the global industrial chain characterized by "fragmentation" and "networking" and frequent emergencies, the issue of supply chain vulnerability among small and medium-sized enterprises (SMEs) has become prominent. Focusing on the context of the digital economy, this paper aims to explore the paths to enhance the supply chain resilience of SMEs. By adopting literature research, case analysis, and questionnaire survey methods, it sorts out relevant theories and analyzes the current status and challenges of SME supply chain resilience. The study finds that the digital economy can enhance SME supply chain resilience through three paths: building lightweight digital collaboration platforms, developing low-cost intelligent risk management tools, and leveraging the industrial internet ecosystem, with "lightweight" and "ecologicalization" as key features. Meanwhile, transformation must match the enterprises' own resource endowments. Finally, corresponding policy recommendations are put forward for the government, platform enterprises, and industry associations, and prospects for future research directions are provided.

Digital technologies, such as blockchain, enhance the security of supply chain finance (SCF) and improve access to financing for small and medium‐sized enterprises (SMEs). However, SMEs often lack the digital skills needed to keep pace with rapid technological advancements. The network effects in digital supply chain finance (DSCF) further intensify this challenge: the benefits of joining DSCF increase with the number of users, but limited early adoption discourages participation, creating a “chicken‐and‐egg” dilemma. To address this issue, we develop a sequential game model to analyze how SMEs can be motivated to upgrade their digital capabilities. Findings reveal that digitalization transforms SMEs from “pure contenders” to “cooperative competitors” owing to the inherently shared nature of digital information. This shift prompts SMEs to proactively enhance their digital capabilities and foster the co‐creation of a digital ecosystem. Banks play a pivotal role in the development of such ecosystems by offering financial support, training, and strategic guidance, which elevates SME managers' confidence in their peers while mitigating the risks of failure from technological barriers or capital constraints. Without bank collaboration, distrust among SMEs hinders digital transformation. For banks, training the SME employees in digital and management skills is more cost‐effective than providing them with digital devices. This study highlights the vital role of collaboration in bridging technological progress with practical implementation and advocates prioritizing skill‐building over hardware provision in digital strategies.

In today’s dynamic business landscape, Small and Medium-sized Enterprises (SMEs) encounter growing challenges in achieving sustainability. Logistics capabilities and supply chain performance play a crucial role in the strategic operations of SMEs, making the adoption of digital technology increasingly vital. However, despite its acknowledged importance in logistics and supply chain management, there is a lack of detailed understanding regarding how digital technology specifically impacts the sustainability of SMEs. This gap highlights the need for focused research into its influence on logistics capabilities, supply chain performance, and overall sustainability. To address this, the study utilized an explanatory single cross-sectional survey method for data collection, employing a stratified sampling technique to draw a sample of 230 participants. The findings revealed that logistics capabilities positively and significantly influence supply chain performance and the sustainability of SMEs. Moreover, digital technology was found to positively moderate the relationship between logistics capabilities and supply chain performance, as well as the relationship between logistics capabilities and sustainability. Based on these findings, the study recommended that organizations adopt advanced data analytics tools to maximize the potential of supply chain data, implement Internet of Things (IoT) technologies for real-time monitoring and enhanced visibility, and utilize cloud-based collaboration platforms to ensure seamless communication and information sharing among supply chain partners.

Digital transformation of supply chains has been successfully achieved by larger companies, but small-to-medium enterprises (SMEs) have shown much less progress. This study examined the state of digital transformation in a region with a significant number of SMEs, the ongoing challenges and opportunities these companies face, and the degree of support for potential training offered by a business school. A survey was developed to determine challenges related to supply chain operations, digital technologies in use, plans for future innovations, current employee skill levels, and support for employee training by a local business school. The survey revealed cybersecurity risk, demand forecasting, hiring/retaining talent, and customer behavior/expectations as supply chain challenges. Cloud computing and supply chain network optimization were the only technologies widely used. Digital skills were lacking and planning for digital limited, but there was overwhelming support for employee training. SME-particular issues and experiences related to progress toward digital transformation have not been widely researched. This study addressed these issues and provided insights that are useful for SMEs in the regional economy, as well as for SMEs around the world who seek digital transformation. Results underscored the importance of employee training in digital transformation and the need for a proactive supportive role by third-party entities such as higher education institutions. SMEs, which are 99% of all enterprises, are for the most part not participating in digital business. This issue has serious consequences for business communities around the world, who are missing out on opportunities to grow, expand, and remain competitive.

Qingyuan City is at a critical juncture of consolidating its "Manufacturing as Priority" foundation and deeply integrating into the Guangdong-Hong Kong-Macao Greater Bay Area; solving the financing difficulties for SMEs in its industrial chains is a core issue. Traditional supply chain finance models, constrained by their reliance on "entity credit," suffer from fundamental flaws such as tiered credit decay, information asymmetry, and the failure of movable asset supervision, rendering them unable to effectively serve manufacturing SMEs at the end of the chain. The rise of FinTech, particularly the fusion of blockchain, IoT, and big data, is triggering a profound "logical metamorphosis" rather than simple technical optimization. This paper adopts theoretical analysis and logical deduction to focus on how FinTech fundamentally reconstructs the credit paradigm of supply chain finance. The study posits that the core of this metamorphosis manifests in two major shifts: first, a shift from "entity trust" to "digital trust," where blockchain technology, through its immutability and multi-party consensus, transforms the "personalized credit" of core enterprises into "technological credit vouchers" that can circulate throughout the chain, achieving trust penetration. Second, a shift from "asset black box" to "asset penetration," where IoT technology, through real-time, objective data mapping, transforms traditionally "untrustworthy and uncontrollable" movable assets (inventory, work-in-progress) into "penetrable and verifiable" digital assets, resetting the anchor for risk pricing. Upon this dual foundation of "digital trust" and "asset penetration," big data and AI can then construct a dynamic "risk trust" model. Finally, this paper explores the implementation paths for this logical metamorphosis within Qingyuan's manufacturing context, aiming to provide forward-looking theoretical support and policy insights for building a new industrial finance ecosystem in Qingyuan.

The purpose of this study is to analyze the relationship between digital leadership variables and supply chain performance, supply chain innovation and supply chain performance and the relationship between electronic human resource management (E-HRM) and supply chain performance. The research method used in this study is a quantitative survey method research design. The technique used in selecting samples in this study is simple random sampling. Data collection in this study was done online by distributing questionnaires through the Google Form platform and obtaining direct responses from respondents. The number of respondents studied was 786 small and medium enterprises (SMEs) owners in Indonesia. The study uses path analysis techniques for data and hypothesis testing. Statistical testing on the path analysis model can be done using the partial least square method. The study uses a Likert scale, which is categorized into five categories: (1) strongly disagree, (2) disagree, (3) neutral, (4) agree, and (5) strongly agree. Data analysis in this study used Smart Partial Least Square (SPLS) software version 3.00. Model evaluation in testing with SPLS consists of two stages, namely, evaluation of the outer model and inner model. The evaluation of the outer model consists of factor loading tests, Average Variance Extracted, cross-loading, Cronbach's alpha, and composite reliability, while the evaluation of the inner model consists of the coefficient of determination (R2), cross-validated redundancy (Q2), Goodness of Fit (GoF), and hypothesis testing. The results of this research analysis are that digital leadership has a positive and significant relationship with supply chain performance, supply chain innovation has a positive and significant relationship with supply chain performance and e-HRM has a positive and significant relationship with supply chain performance. Digital Leadership involves leaders who can drive digital transformation and implement innovative strategies to leverage digital technologies. This involves the ability to understand and leverage technologies such as artificial intelligence, etc. In addition, digital leadership also involves sensitivity to change and the ability to drive innovation, collaboration, and technology adoption across SMEs.

PurposeThis paper has predicted digital supply chain (DSC) adoption through the role of firms' proactiveness, knowledge management capability (KMC), innovation ambidexterity and the moderating effect of environmental dynamism.Design/methodology/approachSurvey data from 354 managers in manufacturing and service firms were analysed using the PLS-SEM model.FindingsThe present study's findings ascertained the significant role of innovation ambidexterity in influencing DSC adoption, given that innovation exploration's direct and mediating impacts were greater than innovation exploitation's. Firms' proactiveness had the highest path coefficient value among the endogenous variables as an indispensable source for firms to successfully embrace KMC and innovation ambidexterity. The role of firm size on DSC adoption was also significant, revealing that SMEs were more likely than larger firms to adopt DSC practices. Despite its significant effect on innovation ambidexterity, KMC surprisingly exhibited no direct influence on DSC adoption. Furthermore, the findings demonstrated the significant moderating role of environmental dynamism on the effect of KMC on innovation exploration.Research limitations/implicationsThis research endeavour has presented valuable insights for scholars and managers, furnishing them with a framework to facilitate decision-making processes regarding adopting DSC practices. A key insight gleaned from this study has been the remarkable value of firms' proactive behaviour and innovation ambidexterity in facilitating DSC adoption decisions. Such adoption has empowered organisations to deploy appropriate interventions and allocate resources efficiently, considering the pivotal role of innovation exploration in contrast to the relatively limited impact of innovation exploitation within this context. Managers may also underscore the significance of firm size in shaping DSC adoption decisions. Small- and medium-sized enterprises (SMEs) have been more likely to embrace DSC initiatives than their larger counterparts. The agile scale and streamlined organisational structures of SMEs often translate into faster decision-making processes, allowing for DSC adoption with relative ease. SMEs might also exhibit a greater openness to reap the benefits associated with DSC systems, such as improved operational efficiency and cost reduction.Originality/valueThe present study has advanced DSC adoption research by examining innovation ambidexterity, knowledge management capability and firms' proactiveness. It has also provided valuable insights for scholars and managers, presenting a framework for decision-making processes regarding DSC adoption in an emerging economy context.

PurposeThe study investigated the relationship between digital supply chain (DSC) and sustainable supply chain performance (SSCP) of small and medium-sized enterprises (SMEs) via the lens of supply chain integration (SCI) and information sharing (IS). This study concentrates more on the mediating role of SCI and IS in the link between DSC and SSCP that no research has mentioned before.Design/methodology/approachThis research figures out how the DSC impacts the performance of the organization and the supply chain. By employing a carefully designed questionnaire to gather data, a quantitative methodology was employed. Managers at the senior and medium levels were the responders who were targeted. There are 467 valid replies gathered from the primary survey. The data results were used in the analysis using partial least squares structural equation modeling (PLS-SEM).FindingsThe findings imply that SCI’s function in the information-sharing process is crucial as it fosters cooperation, coordination and connectivity throughout the DSC. Furthermore, the study’s conclusions offer helpful information on how businesses might enhance supply chain performance through information exchange. Businesses are constantly concentrating on the role that the DSC plays as a catalyst for sustainable growth and are improving supply chain performance through SCI and information exchange.Originality/valueThis study highlights the gaps and unexplored themes in the existing literature, catalogs the DSC published in the main logistics journals and helps people recognize and appreciate this kind of work. It also has the potential to contribute to future research on SSCP. Moreover, the novelty research is further reinforced by the coverage of the newfound mechanism, where SCI and IS mediate the relationship between DSC and SSCP, directly and positively enhancing SSCP.

No abstract available

Purpose Building digital supply chains to strengthen supply chain viability (SCV) has become essential for manufacturing firms seeking competitiveness. However, the roles of digital supply chain capabilities (DSCC), digital leadership (DL), supply chain resilience (SCRe) and their impact on SCV remain underexplored. Based on the contextual practice-based view, this study aims to investigate whether DSCC and DL, when integrated with SCRe, could realize SCV. Design/methodology/approach Using a survey data set of 349 Ghanaian manufacturing small and medium enterprises (SMEs) from different industries, the study empirically tests a mediated and moderated model to validate its hypotheses. It also conducts hierarchical linear modeling and bootstrapping to test the study’s hypotheses. Findings The results show that DSCC and DL positively enhance SCRe. SCRe partially mediates the effect of DSCC on SCV. DSCC positively moderates the relationship between SCRe and SCV, but there is statistically insignificant evidence that DL moderates this relationship. Originality/value To the best of the authors’ knowledge, this study is one of the very first attempts to develop an integrated model of SCV by exploring the interplay among digital capabilities, leadership and resilience. The findings of the study contribute to the digital transformation and supply chain management literature by systematically investigating the explanatory variables (digital SC capabilities and digital leadership) – practices (DSCP) – intermediate outcomes (SCR) – and performance (SCV). The paper offers fresh practical insights for owners/managers of SMEs, governments and policymakers from which they can understand how to navigate digital literacy to drive resilience and viability. Practically, managers should prioritize investments in digital supply chain capabilities as they both strengthen resilience and enhance its impact on viability. The focus should be on implementing practical digital tools like inventory tracking systems and supplier communication platforms, rather than extensive leadership development programs.

Digital technologies such as big data drive operational excellence, yet their role in enhancing viable, sustainable and digital supply chain performance (VSDSCP) through supply chain connectivity (SCC) and innovation remains underexplored. Grounded in dynamic capability theory (DCT), this study aims to investigate the BDU–VSDSCP relationship via SCC and innovation mediation, employing a hybrid structural equation modeling (SEM)–fuzzy-set qualitative comparative analysis (fsQCA) approach. We surveyed managers of Chinese small and medium-sized textile enterprise (SMEs) to test the proposed hypotheses using SEM and identified configurations of Big Data Use (BDU) through fsQCA. The SEM findings suggest that BDU directly and indirectly enhances VSDSCP, with SCC and innovation capabilities mediating the nexus between BDU and VSDSCP. fsQCA results uncover six distinct configurations of factors that collectively predict higher levels of VSDSCP. This research supports SME managers in enhancing connectivity and co-creating with suppliers and customers by leveraging insights from BDU to achieve optimal VSDSCP. Furthermore, the SEM–fsQCA findings indicate that success is not driven by a single factor but rather by tailored combinations of capabilities suited to the specific firm context. Improved VSDSCP through BDU and innovation fosters business growth, generating new employment opportunities while encouraging upskilling in digital literacy. We contribute to digital SC and big data literature by employing a hybrid SEM-fsQCA to investigate how BDU augments VSDSCP. We extend DCT by focusing on capability orchestration, uncovering generalizable and context-specific pathways to performance.

The research paper aims to examine the direct effects of exploratory supply chain innovation (ERSCI) and exploitative supply chain innovation (ETSCI) on digital supply chain practices (DSCP) in a sample of manufacturing SMEs in Jordan. The current study also presented other objectives and contributions in examining the potential causal relationships of industry 4.0 technologies (I4Ts) and studying their moderating effect between ERSCI, ETSCI, and DSCP. To achieve the research mentioned above objectives, 203 responses were collected from the organizational and managerial levels in manufacturing SMEs; purposive sampling was used in collecting data, and then the partial least squares‐structural equation modelling (PLS‐SEM) approach was employed in analyzing the data obtained. The empirical results reached a set of results, some of which were expected and others surprising. It was found that there was a positive and strong effect of ERSCI, ETSCI, and I4Ts on DSCP, and these variables were able to explain the variance occurring in DSCP by 54.8%. I4Ts also played a moderating role in the relationship between ETSCI and DSCP, while the results revealed that the interaction between ERSCI and I4Ts was not positive; in addition, this effect was not statistically significant. The results of this study had a clear contribution to filling the research gaps based on ambidexterity theory, as the current paper addressed a set of ambiguous causal relationships in the SC literature that had not previously been revealed in past literature. Thus, the current study expanded the discussion space about the interplay nexus between these relationships.

—This study aims to explore the impact of big data-driven supply chain management, web analytics, and market orientation on corporate performance in medium-sized enterprises (MSEs) in Indonesia. By integrating these contemporary elements, the research seeks to provide insights into how digital technologies and strategic market practices can enhance organizational effectiveness. The study adopts a quantitative approach, utilizing survey data collected from 350 MSEs across various sectors in Indonesia. Purposive sampling was employed to ensure that the selected firms actively implement big data analytics and market-oriented strategies. Structural Equation Modeling (SEM) was conducted using SmartPLS to analyze the relationships among the variables. The findings reveal that big data-driven supply chain management and web analytics significantly contribute to improved corporate performance, with market orientation serving as a critical mediating factor. These results emphasize the importance of aligning digital tools with strategic business objectives to achieve competitive advantages. Furthermore, the study highlights the practical implications for MSEs, suggesting that integrating big data and web analytics into supply chain operations can optimize resource allocation, enhance decision-making, and foster market responsiveness. This research contributes to the literature on digital transformation and strategic management in emerging economies, offering a novel perspective on how MSEs can leverage technological advancements to remain competitive. Future studies may explore longitudinal impacts and sector-specific adaptations.

With the increased globalisation and disruptions faced by businesses in this digital era and the occurrence of natural disasters such as floods and disease outbreaks in the world, supply chain risks and management of those risks are major challenges for businesses, especially for SMEs of clothing retailers in Australia. This study, hence, is carried out using an exploratory case study research method, and the data have been collected through semi-structured face-to-face interviews with key informants from managerial levels of 20 Australian SMEs of clothing retailing businesses to identify various supply chain risks and their management processes. This study finds five supply chain risks, namely supply risk, demand risk, financial risk, environmental risk, and operational risk, that the SMEs of clothing retailers mostly face in the supply chain. This study also finds that most of the investigated retailers lack a formal risk identification approach, though they informally use the reactive and proactive methods of risk identification. Furthermore, the assessment methods are not well established in most of the participating firms, and supplier monitoring receives more attention compared to their own performance to deal with their supply chain risks. This study contributes to the body of knowledge by being one of the first empirical studies to explore the SMEs of clothing retailers’ supply chain risks and their management processes in the Australian business context, which can add value in guiding supply chain design decisions for SMEs in other sectors.

This study focuses on digital transformation (DT) in supply chain management among Vietnamese SMEs, an area that remains underexplored compared to large enterprises. Using a hybrid SWOT-AHP-TOWS framework and evaluations from 20 experts, the study identifies key influencing factors and prioritizes strategic responses. Twelve feasible strategies are identified, with five emerging as top priorities: leveraging government policies and international funding (WO1, weight = 0.014379), developing a skilled digital workforce (WT2, 0.009865), adopting advanced technologies such as AI and IoT (SO1, 0.006036), enhancing organizational flexibility and financial efficiency (ST2, 0.005323), and strengthening system security and operational safety (ST3, 0.005323). These findings offer actionable guidance for SMEs in planning DT while providing evidence-based insights for policymakers to support sustainable and resilient digital supply chains.

This study examines cutting-edge supply chain strategies that prioritize ethical production, environmental preservation, and economic empowerment for the sustainable procurement of handmade goods. We investigate empirically how well decentralized, cooperative, and digital marketplace-driven solutions can improve the market accessibility and financial success of craftspeople. Results show that fair-trade networks and technology-driven platforms greatly increase the sustainability and transparency of supply chains. Furthermore, incorporating the concepts of the circular economy promotes waste reduction and environmentally responsible production. The report provides insights for businesses, craftspeople, and governments to build robust and ethical supply chains by highlighting best practices and strategic frameworks for striking a balance between sustainability and profitability. The global handicraft business has many obstacles to overcome in order to ensure efficient supply chains and sustainable sourcing. This study investigates cutting-edge supply chain approaches that promote ethical sourcing, technology integration, and community empowerment for handmade products. The study looks into successful sustainable model case studies and makes suggestions for stakeholders, such as companies, legislators, and artisans.

The craft industry in Sri Lanka has been an integral part of the economy for centuries, contributing to both rural livelihoods and national trade. The Weweldeniya craft community in Sri Lanka has a rich heritage of producing intricate and culturally signifi cant craft items using traditional techniques. However, the industry faces pressing challenges primarily due to sourcing materials from various geographic locations, incurring substantial transportation costs. To address these multifaceted challenges, the craftsmen have adopted a resource optimization strategy aimed at minimizing waste and maximizing resource utilization. This study investigates the materials commonly used in Weweldeniya crafts, their integration into production, and the techniques employed to transform raw materials into fi nished products. It examines the sustainable practices adopted by craftsmen to optimize resources, with a focus on the 3R principles (Reduce, Reuse, Recycle) and lean manufacturing pull systems. Findings highlight that despite economic pressures, craftsmen effectively manage resources, particularly various rattan varieties, to meet market demands. This research employs a mixed-methods approach while dominating qualitative approach to provide a comprehensive understanding of the intricate material utilization practices and sustainability. The study concludes that Weweldeniya craftsmen, despite facing rising transportation costs and fuel prices, have demonstrated adaptability through resource optimization. However, waste analysis reveals that offcuts and trimmings account for 40% and 27% of production waste, respectively, highlighting the need for better waste management and recycling practices. Enhancing technological integration and recycling could drive further innovation and skill development. Addressing these areas will be vital for sustaining the rattan industry in Weweldeniya.

Abstract This study explores how design intervention can promote the transformation of the traditional craft industry into the distributed manufacturing model. First, theories relevant to distributed manufacturing and product-service system (PSS) are analyzed. Subsequently, design intervention strategies aimed at revitalizing specific traditional crafts are proposed. Finally, these strategies are explained comprehensively by combining Gourd Play design practice case. The proposed design intervention strategies can help specific traditional crafts achieve distributed manufacturing and improve their sustainability.

To achieve the “dual carbon” goals, manufacturing businesses must pursue green development. Compared to larger enterprises, the path towards green development is fraught with difficulties for the numerous traditional small and micro manufacturing enterprises. Lean thinking offers new solutions to the pain points and challenges of green development for these enterprises. However, existing research primarily focuses on large enterprises, with limited studies on traditional small and micro manufacturing enterprises; moreover, the conclusions on lean green development remain contentious and fail to effectively guide these enterprises through their green development bottlenecks. Therefore, this paper constructs a lean green development mechanism model for traditional small and micro manufacturing enterprises based on the grounded theory research method and the “resource‐behavior‐performance” model. It validates the model with empirical data from 333 traditional small manufacturing enterprises in China. The results show that in the actual development process of traditional small and micro enterprises, implementing lean organization and lean production significantly improves environmental performance, but the impact on economic performance is complex. Additionally, the influence of lean strategies on green development performance is not significant, not fully realizing their potential guiding role. Further in‐depth analysis of traditional small and micro manufacturing enterprises with a mature level of lean management reveals that as the level of lean management improves, the guiding effect of lean strategies begins to emerge; both lean organization and production have a significantly positive impact on economic performance. The findings are theoretically and practically significant for overcoming the green development challenges faced by traditional small and micro manufacturing enterprises, help to broaden the research scope of lean green development, and provide decision‐making and theoretical support for promoting the seamless implementation of lean green development in the traditional manufacturing sector.

No abstract available

No abstract available

The textile industry is a major contributor to the global economy, particularly significant in Peru due to its rich history and traditional techniques. This sector not only provides substantial employment but also preserves cultural heritage and drives economic growth. Despite its importance, the Peruvian textile industry faces operational inefficiencies, particularly in machinery setup during product transitions, leading to high unproductive times and reduced outputs. Addressing these issues is critical for maintaining competitiveness and meeting industry standards. The proposed study introduced a Lean Manufacturing-based model to tackle these inefficiencies. The model integrated Systematic Layout Planning (SLP), 5S methodology, and Single-Minute Exchange of Die (SMED) techniques. SLP was employed to optimize plant layout, reducing transportation times and improving workflow. The 5S methodology aimed to create an organized and clean work environment, enhancing process stabilization. SMED focused on reducing machinery setup times, increasing production flexibility and responsiveness. The implementation of this model resulted in significant improvements. The Operational Efficiency Index increased from 83.4% to levels nearing the industry standard of 95%. Setup times were reduced by 49.80%, and transportation times between areas decreased by 53.81%. These improvements led to a notable economic impact, reducing annual losses and enhancing overall productivity and efficiency within the production process. Academically, this research contributed valuable insights into the application of Lean Manufacturing tools in the textile sector, a relatively underexplored area. Socioeconomically, the findings highlighted the potential for substantial gains in productivity and efficiency, promoting sustainable growth and competitiveness in the market

Research in lean production has recently focused on linking lean production to Industry 4.0 by discussing the positive relationship between them. In the context of Industry 4.0, data science plays a fundamental role, and operations management research is dedicating particular attention to this field. However, the literature on the empirical implementation of data science to lean production is still under-investigated and details are lacking in most of the reported contributions. In this study, multiple case studies were conducted involving the Italian manufacturing sector to collect evidence of the application of data science to support lean production and to understand it. The results provide empirical proof of the link and examples of a variety of data science techniques and tools that can be combined to support lean production practices. The findings offer insights into the applications of the traditional lean plan–do–check–act cycle, supporting feedback on performance metrics, total productive maintenance, total quality management, statistical process control, root cause analysis for problem-solving, visual management, and Kaizen.

Small and Medium Enterprises (SMEs) are the backbone of Indonesia's economy, contributing over 60% to the national GDP and employing more than 97% of the workforce. In Payakumbuh, culinary SMEs have significant potential due to the abundance of local raw materials and high demand for traditional foods such as rendang. Rendang Gadih is one such SME focusing on rendang production for both local and regional markets. However, inefficiencies in production, inconsistent quality, and manual management processes limit its competitiveness. This community service activity introduced the concept of Lean Manufacturing to improve efficiency and reduce waste. The main tools socialized were Value Stream Mapping (VSM), Process Activity Mapping (PAM), and identification of the eight types of waste, along with the application of Kaizen principles for continuous improvement. Implementation was carried out through preparation, socialization, and evaluation stages. The results of this activity are expected to help Randang Gadih enhance production efficiency, minimize waste, and strengthen competitiveness, serving as a model for other culinary SMEs in West Sumatra.

PurposeThe objective of this study is to investigate the barriers hindering the integration of lean manufacturing (LM) practices within the furniture industry of Bangladesh. The traditional operational paradigms in this sector have posed substantial challenges to the effective implementation of LM. In this study, the barriers of implementing LM in the furniture business are examined, aiming to provide a systematic understanding of the barriers that must be addressed for a successful transition.FindingsThe research reveals that “Fragmented Industry Structure,” “Resistance to Lean Practices” and “Inadequate Plant Layout and Maintenance”, emerged as the foremost barriers to LM implementation in the furniture industry. Additionally, “Insufficient Expert Management,” “Limited Technical Resources” and “Lack of Capital Investment” play significant roles.Research limitations/implicationsThe outcomes of this study provide valuable insights into the furniture industry, enabling the development of strategies for effective LM implementation. One notable challenge in lean implementation is the tendency to revert to established practices when confronted with barriers. Therefore, this transition necessitates informed guidance and leadership. In addition to addressing these internal challenges, the scope of lean implementation should be broadened.Originality/valueThis study represents one of the initial efforts to systematically identify and assess the barriers to LM implementation within the furniture industry of Bangladesh, contributing to the emerging body of knowledge in this area.

The adoption of lean manufacturing as a method for enhancing productivity that led to the reduction of waste and uniformity of cycle time is the subject of this research. In the fast-paced, dynamic, and ever-changing global economy, many businesses are employing the lean manufacturing approach to remove waste, improve processes, save costs, enhance innovation, and decrease time to market. Lean manufacturing is especially appropriate in Bangladesh because many Bangladeshi private garments manufacturing companies are operating below their actual capacity, or undergo late deliveries, due to problems with their traditional production systems and a lack of skilled personnel. A basic full-sleeve t-shirt sewing line was the focus in the study. Non-value-added activities such as a large number of work-in-process (WIP), unnecessary transportation, and product defects due to poor 5S (Sort, Shine, Set in Order, Sustain, Standardize) and lack of traffic light system (TLS) were observed. Researchers also noticed the indifference of the workers. They used time study, line target, process flow mapping, theoretically machine requirement, and line efficiency to assess conventional line productivity. After implementing lean techniques (5S, line balancing, just-in-time), the standard time was obtained using process flow and cycle time analysis. Thus, non-value-added tasks are reduced, resulting in an improvement in production. They compared the previous production line with the lean-implemented production line and they noticed a lot of changes. Results showed that, after lean implementation, SMV is decreased by 0.9 minutes, production is increased by 1,664 pieces per month, the number of workers is decreased by 2 (two) persons, alter percentages is reduced to 4%, spot quantity is reduced to 1.80%, the rejection rate is reduced to 0.68%, WIP is decreased by 7 (seven) pieces, 69.08% efficiency is achieved. Lean manufacturing brought about great improvements in the sewing sector by establishing a standard minute value, a smooth process flow, and productive operations, which made a significant contribution to the achievement of production targets. In this way, lean manufacturing tools and practices can change the overall scenery of a traditional sewing section of the garment industry. This paper gives the whole feasibility assessment for implementing lean manufacturing in the garment manufacturing process.

As Brisbane prepares for the 2032 climate-positive Olympics, traditional industrial precincts in the city are rapidly transforming. With a population of 2.5 M Brisbane has grown by 20% every decade since 1950, and sustainability-driven urbanism is an imperative. Here we document the history and future of Holland Street in Northgate, an inner-city industrial suburb, in the context of local, state, and national urban revitalisation and policymaking. Two globally distinctive tenants, (a) the Advanced Robotics for Manufacturing Hub and (b) bespoke public art manufacturer and foundry Urban Art Projects, face the twin challenges of embracing green manufacturing and the re-invention of blue-collar work. Digital transformations such as an energy-efficient automated foundry and the integration of cobots in custom manufacturing are advancing the goals of green manufacturing, blue-collar upskilling, and reshoring. An open innovation network creates knowledge spillovers to other industrial precincts in the city. The article discusses local urban planning innovation that is informed by publicly and privately funded R&D, underwritten by state-level government, and a consortium of universities and industry partners. The overall goal is to sketch the nascent planning elements for a locale that is tailored to accommodate the reinvention of urban manufacturing.

– This article provides a comprehensive exploration of the challenges faced by a company operating in Peru's competitive food industry, specifically within the "Sauces, Dressings, and Condiments" category. The selected company grapples with issues related to service levels, productivity, and efficiency, necessitating strategic interventions for improvement. With a targeted approach to address these challenges, the research proposes the implementation of Total Productive Maintenance (TPM) and Lean Manufacturing to significantly enhance the company's operational performance, placing a particular emphasis on mitigating inefficiencies within the packaging area. Insights into the principles of these tools are provided, showcasing their potential positive impacts on operational efficiency in similar contexts. The article introduces a carefully crafted model, centered around standardized work and TPM, aimed at enhancing the company's service levels. This model unfolds through stages, including problem analysis, tool implementation, and validation. Simulation results demonstrate a tangible potential increase in service levels from 83% to 94.2%, accompanied by notable improvements in Mean Time Between Failures (MTBF) and Mean Time To Repair (MTTR). While the achieved results fall slightly short of the initially set goals, they underscore significant progress and signal the potential for further refinement, affirming the effectiveness of Lean Manufacturing and TPM in elevating the specific company's operational performance within the dynamic and competitive landscape of the food sector.

Dependence on antiquated data-gathering techniques and reactive problem-solving methods in contemporary lean manufacturing frequently results in inefficiencies like higher downtime and less-than-ideal decision-making. To systematically solve these issues, the research suggests combining business analytics with big data in a strategic way. The proposed system makes use of sensors, IoT devices, and advanced analytics to ensure real-time data flow throughout production environments. Machine learning (ML) algorithms improve efficiency and agility by enabling operational insights and predictive maintenance. The implementation roadmap calls for careful data preparation, cloud-based data integration, and data collecting using strategically positioned IoT sensors. Predictive skills are further improved through the selection and optimization of ML models. Proactive decision-making is made possible by real-time data, which also allows for quick adjustments to maximize output. Continuous system improvement and adaptation are ensured by feedback loops and continuous monitoring. When compared to traditional approaches, the comparative study shows considerable improvements in production efficiency (up to 35%), downtime reduction (45%), predictive maintenance accuracy (92%), and resource utilization (28% increase). With such a combination, lean manufacturing undergoes an evolutionary shift and provides a scalable and effective solution to satisfy contemporary industrial demands.

No abstract available

PT. Multiyasa Abadi Sentosa is an export company specializing in handmade crafts using natural materials such as banana fiber, rattan, and seagrass. The production process of baskets faces challenges such as rejected products, which slow down processing time, leading to shipment delays and increased production waste. This research aims to identify production activities, analyze waste, and propose improvements. The methods employed include Value Stream Mapping, Waste Assessment Model, and VALSAT. Research findings indicate that Value-Added activities contribute only 67.1%, while Non-Value Added and Necessary but Non-Value Added activities are also significant. Process Cycle Efficiency is 67%. The largest sources of waste are defects in products and transportation. Implementing Quality Control for raw materials and optimizing transportation are proposed solutions to reduce waste.

No abstract available

Research methodology The case study is based on field data including semi-structured interviews with the main protagonist and related stakeholders of Karan Handicraft, a leather craft artisan enterprise. After informed consent, the interviews with the craft artisan entrepreneurs of Karan Handicraft were conducted, transcribed and analysed verbatim in the respondents’ native language, Kutchi Gujarati. The authors also used archival data given by the company. In addition, secondary data from industry reports and business magazines was used to create the case. Case overview/synopsis The case investigates the impact of digital technologies on the small handicraft artisan entrepreneurs by focusing on a family-run business of a leather craft. It traces the evolution of Karan Handicraft, based in Kutch district of Gujarat, India from the year 2007 to 2023. The third-generation artisan entrepreneur Karan Marvada attempted exploring the new-age social media platforms to showcase the products, modified his product designs to attract a new customer-base and adapted to digital marketing. However, in the wake of the crowding in the handicraft cluster, the central business problem that Karan was grappling with was, if he should scale up his artisanal entrepreneurial stint using electronic commerce (e-commerce) as a medium. Another allied issue is in such a scale-up, should he use e-commerce, i.e. as a medium of communication only or as a medium of both communication and delivery. While the latter may lead to scale, it may raise the challenge of not being able to preserve the traditional values of his ancestral business. Complexity academic level This case involves various issues that arise in entrepreneurship management, such as decisions related to growth strategy (remain small and unique vs become large and mass scale), to maintain a physical presence vs digital presence and the form of digital presence, are dwelt upon. The case is aimed at graduate students in an entrepreneurship or family business course. It could also be taught in other courses that focus on innovation and social entrepreneurship.

Sahana Bali Craft, a handicraft company that produces Ayaman Bags typical of Tengenan Village, Karangasem Regency, Bali where through the results of interviews and observations, it was revealed that this company faced obstacles in recording production and cost calculations that were still done manually, application of the Make to Order concept was not well integrated, and the company did not have an Enterprise Resource Planning system and re-engineering was carried out. This research recommends the implementation of business process re-engineering as an effort to improve business process efficiency with the ASAP and Kanban methods. The ASAP method is used in designing ERP systems to optimize costs, time, and available resources, while the Kanban method is applied in project management at the business blueprint and realization stages. The business process engineering has been tested with the User Acceptance Testing method and shows 1320 < 1718 < 1760 which means that the proposed business process system is considered positive or quite successful for the company.   

The Indian Handicrafts are exclusively known for their cultural heritage and exquisitely skilled craftsmanship. In the present market, there are lots of brands that come into existence with the synergy of artisans and have sustainable business growth. In this study, the focus is on understanding sustainable business in the Indian arts and crafts industry through a qualitative case study method. The data collected are through semistructured phone call interviews and Google survey forms. The collected data are categorized and analyzed through Observe, Think, Test, and Revise (OTTR) method. From this research, the various opportunities to enhance the synergy of artisans and entrepreneurs, analyzing market potential, production techniques of the artisans, design interventions in the craft, the 4P’s of marketing strategies, the importance of government policies and schemes, and the effect of competition are explored. The unsustainable business in handicrafts was the key problem that paved way for the rise of this research. This paper explores the unsustainable practices in the handicraft sector through literature review and also provides sustainable business opportunities that could help in the growth of the handicraft business.

The batik industry in the ex-Dolly area of Surabaya has undergone significant transformation from its history as a red-light district to a hub for creative batik production. This study aims to assess the environmental and social impacts of the development batik industry in the ex-Dolly area using the Environmental and Social Impact Assessment (ESIA) method. Through a qualitative case study approach, key stakeholders including batik artisans, local communities, and government agencies were engaged to evaluate the industry's sustainability and development. Baseline data collection and impact assessments revealed both positive and negative effects on the environment and social well-being of artisans. Mitigation measures were proposed to address issues such as water pollution, waste management, and working conditions. The results and discussions highlighted the importance of sustainable practices and community involvement in enhancing batik industry's overall impact. The study concludes that by implementing targeted strategies and monitoring mechanisms, the batik industry in the ex-Dolly area can achieve long-term sustainability and positive social outcomes. The implications of this research extend to policymakers, industry stakeholders, and local communities, emphasizing the need for responsible environmental and social practices in the development of creative industries.

The foundation of Uttar Pradesh’s industrial operations and economic development is its traditional occupation, geographic culture and unique products. Products that are unique to a given area play a vital role in the growth of any nation, state or region. The One District, One Product (ODOP) programme, which is being used in Uttar Pradesh, has given the state’s small businesses a new name. In the Moradabad region of Uttar Pradesh, a metal craft enterprise has been chosen under this model to enhance the production capacity, business opportunities and start-up optimisation. This particular product is essential to the state economy’s continued survival. By sponsoring investor exhibits, district fairs and mega craft clusters, which directly affect production, the state government promotes the productivity of metal crafts, creating a new vision for metal products and new opportunities for local and regional companies to gain worldwide prominence through this programme. The researchers of this study conducted a pilot study and primary survey based on the demographic profile of the Moradabad region of Uttar Pradesh to examine the increase in production capacity and its component under the ODOP scheme. The findings of this study indicate that all efforts to strengthen the local metal craft clusters and units through state government initiatives such as investor summits, exhibitions and district fairs under the ODOP scheme prove to be right for the success of productivity. The uniqueness of this research article serves as a living example for other states or countries to successfully implement the ODOP programme, which is a transformative step towards realising the true potential of the metal craft industry. The state government’s strategy like the ODOP scheme can serve as a bridge to strengthen and improve the local specified products like metal crafts by solving the barriers of productivity disparities and geographical product identity imbalances.

Toman Village has agricultural potential for development, one of which is the use of natural dyes from gambier sap waste as the main ingredient for batik dyes. Besides functioning as a natural dye, it also maintains the environmental ecosystem. The batik industry in Toman Village is growing rapidly; however, it faces many challenges in developing its business. Researchers studying this matter aim to analyze the problems faced by the Jumputan Gambo batik industry and formulate strategies for its development in Toman Village. A descriptive qualitative method with a case study strategy was used. The data in this study were collected through observations and in-depth interviews with each research participant. The results showed that the batik handicraft industry has great potential to develop and plays an important role in sustaining people's lives. However, its development has not been maximized and has not received significant support from related parties. The small batik industry faces many challenges in the form of non-optimal work productivity of craftsmen, slow regeneration, inability to engage in online marketing, and Jumputan batik Gambo cloth products are still fixated on traditional designs and colors or patterns, so that the market segment is limited and capital constraints. The efforts that can be made to develop batik include strengthening access to market information and financial aspects, increasing the competence of batik business actors to innovate and create new products or motifs, encouraging batik business actors to collaborate with other parties, and building partner commitments to mitigate market uncertainty.

The variety of creative industries developed by the Sidoarjo people are based on micro, small, and medium-sized industries. It has a positive impact on the people's economy. These sectors are faced with various problems in developing their businesses, such as marketing, human resources, materials, machinery, capital and finance, products, technology, support, research and development, distribution, promotion, competitors, and policy. The aim of this research is to determine the strategy for developing micro, small, and medium-sized industry-based creative industrial centers in Sidoarjo Regency in an effort to improve the community's economy. The reasons are that Sidoarjo Regency has a lot of community economic activities on a micro, small, and medium-sized industry scale. Micro, small, and medium-sized industry-based industrial centers that are developing in Sidoarjo Regency include: Ngingas Metal Industrial Center, Jetis Written Batik Industrial Center, Tanggulangin Leather Shoe Craft Industrial Center, Seketi Balongbendo Bamboo Woven Village, Smoked Fish Village in Penatar Sewu, and Cracker Industry Center in Biting Village. Both qualitative and quantitative methods were applied in this research to solve the research problem. The research results indicated that the successful keys of micro, small, and medium-sized industries's development strategies are as follows: (i) forming village-owned enterprises to support the development of micro, small, and medium-sized industries; (ii) the business motivation is stronger because the businesses are hereditary; (iii) improving business aspects of competitive advantage; (iv) empowering communities to improve their village economies through the development of industrial centers; and (v) the role of governments in developing industrial centers.

The length of supply chain at Ajeng Gallery causes emergence of risks that can harm the company. Moreover, the company has not implemented risk management properly so that the purpose of this study is to implement supply chain risk management properly. By using House of Risk, it is obtained 10 risk events and 9 risk agents. 2 risk agents that have the largest percentage are mitigated. There are 4 priority mitigation strategies to overcome risk agents. The implementation of mitigation strategy can reduce risk levels in risk map based on previous research that discusses the same mitigation plan.

Craft firms characterized by a humanistic approach to work face a tension between adhering to pure craft principles and embracing industrialization. This challenge is heightened in family‐controlled craft firms, striving to uphold tradition while adapting to change. This study examines how craft work evolves along the trajectory of entrepreneurial development through a case study of Thun, a third‐generation family craft firm. We identify a set of mechanisms and four configurations—pure, technical, narrative, and ecosystemic—through which craft work evolves over time. These configurations not only preserve traditions, but also infuse them with entrepreneurial spirit, reinterpretation, and deep innovation. This study contributes to the craft work literature by moving beyond static perspectives and revealing the dynamic interplay between different craft configurations.Craft firms, which emphasize a humanistic approach to work, often struggle with the tension between preserving traditional craftsmanship and embracing industrialization. Our study of Thun, a third‐generation family craft firm, provides practical insights for managers by identifying a set of mechanisms and four configurations—pure, technical, narrative, and ecosystemic—that show how craft work can evolve over time. Managers can use these configurations to balance tradition and innovation, and inject entrepreneurial spirit into craft processes. Our findings underscore the importance of managing this balance for sustainable competitiveness and fostering an entrepreneurial firm culture that supports both artisanal and industrial production. Our study also provides a practical guide for craft firms seeking to evolve strategically, ensuring the integration of tradition with contemporary entrepreneurial development.

This article discusses accounting management for cost production and calculation accounting-based material use for leather crafting industry study case UKM SuyteeStore in Malang. This design application calculation from raw material leather until cost production is influenced by all variables in leather industry calculation. Analytic network process (ANP) is method for decision product with variables from owner leather industry based on sale data in this management application. The result are most productive and profitable for industry before cutting process material. Full costing method in this article development with variable process cutting material leather as one attribute for calculation accounting-based method cutting material is more profitable. This application is built using web programming and results in cost production from influenced attributes. The leather industry begins with the input value in the ANP method andthen calculates Full Costing with attribute values input by the main industry to obtain the most profitable result for the leather industry.

The role of Micro, Small, and Medium Enterprises (SMEs) in economic development is particularly significant for the Alamanda Women's Craft Group in Watutau Village, impacting both human resources and income, which contribute to economic improvement. This descriptive qualitative and quantitative study emphasizes process and meaning through analysis. Data collection is the initial step in this study, involving interviews, documentation, and observation, which lead to the conclusion. The object of this research is the Alamanda Women's Craft Group SMEs in Watutau Village, Lore Peore District. The results of this study indicate that SMEs play a crucial role in enhancing the economy, particularly for members of the Alamanda Women's Craft Group. This conclusion is supported by evidence of job creation and improved community welfare, aligned with the economic growth observed.

The rattan craft industry in Sri Lanka is ancient and traditional dating back more than a thousand years, namely in forest border areas such as Wewelgoda Village of Kamburupitiya. The art is disappearing due to modern production techniques. The socio-economic effects of industrialisation on traditional rattan craft workers in the village Wewelgoda and strategies performers would need to adopt to ensure sustainability of the industry under changing technology, financial and market conditions were analysed by the researchers. The researchers employed a mixed-methods research design and applied qualitative and quantitative data collection methods. Qualitative data were obtained via interviews, case analysis and observation; quantitative data were achieved by field survey and observation. The major findings revealed that unjustifiable access to raw material, competition with cheap alternatives and socio-economic factors impairing the younger generation from carrying on the traditional craft are the main causes responsible for declining of rattan craft industry in Wewelgoda. There are legal restrictions on the collection of rattan, and poor government intervention exacerbate the problem. But as rattan emporiums proliferate and the work becomes more difficult and dangerous, the small-scale employees are proving adaptable at sticking to tradition. Yet a lack of efficiency due to the use of outdated methodologies still plagues output and profitability. The research also suggests policy upgrades that will enable the legal and sustainable access to raw materials, introducing suitable technologies that increase efficiency. Increasing the public awareness and social value of rattan craft may encourage intergenerational inheritance. Consequently, this study enhances to varied discourses on the conservation of Sri Lankan Intangible Cultural Heritage and sustainable rural livelihoods.

Handicrafts represent a unique aspect of art in Asian cultures. They are a living cultural heritage that still continues in today's society. Handicrafts that use natural raw materials and simple techniques are excellent in quality and decoration as an end product. Sesath is one such traditional product in our country. At present, the traditional practice of Sesath making this is limited to only one region in Sri Lanka. Research problem is "What are the challenges to the continuity of Sesath industry in Unaveruwa?" Therefore, the aim of this study is to study the current nature of the traditional Sesath industry and the challenges faced by the industry in its continuity. The study area is Unaveruwa village in the Matale district. Interviews were conducted with 20 artisans and obtained information through field observations. Among the results of the study, Sesath has become a consumer product of the upper class of society in Sri Lanka. It was confirmed that the traditional Sesath industry in Unaveruwa is dying out. In the past, the youth have also shown interest in learning about the industry. There was no gender difference in Sesath making and the youth assisted the older artisans. In this way, the traditional knowledge of Sesath making passed to the next generation. But at present, the youth no longer assist the older artisans. The continuity of this traditional craft industry is seriously threatened due to the inability to purchase graphite, the main raw material, the lack of interest of the youth to join and continue this craft industry and not having a market for the products. Unaveruwa is located between two world heritage cities of Anuradhapura and Kandy. Sigiriya, a well-known World Heritage site, is located in Matale district. However, there are no initiatives in Unaveruwa to attract these tourists and sell their products to the tourists and local visitors. It would be beneficial to implement such programmes with government support to protect this traditional craft technology. Furthermore, it is suggested to encourage undergraduates who are studying archeology and fine arts to learn about such a dying tradition in order to preserve as an intangible cultural heritage in Sri Lanka.

Background Digital transformation has emerged as a key driver of competitiveness across industries, yet its adoption in the upcycling craft sector remains insufficiently explored. Existing studies often focus on large enterprises, leaving a research gap in understanding how micro-scale, resource-constrained upcycling businesses integrate digital technologies, specifically in creative industry. This study addresses this gap by developing the Behavioral-Based Digital Transformation (BBDT) model to investigate behavioral determinants of digital adoption, implementation, and innovation outcomes in Indonesia’s sustainability-oriented creative sector. Method This study employed a sequential exploratory mixed-methods approach. The qualitative phase involved field observations and in-depth interviews with three upcycling craft enterprises, while the quantitative phase surveyed 30 micro-scale upcycling businesses across multiple Indonesian regions. Data were analyzed using thematic coding, NVivo software, and Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed Behavioral-Based Digital Transformation (BBDT) model. Results and Conclusion Findings indicate that internal and external factors, including leadership commitment, financial capability, and market demand, significantly shape attitudes and behavioral intentions toward digital adoption. Behavioral intentions, in turn, drive digital technology implementation, enhancing operational efficiency, material optimization, and product innovation. Digital adoption acts as both an outcome and enabler of sustainable transformation, with innovation reinforcing continued engagement with technology. The study confirms the mediating role of behavioral intention and underscores the critical importance of human and organizational readiness. These insights offer theoretical contributions to TAM, TPB, and IDT integration and practical guidance for policymakers, creative communities, and micro-enterprise owners.

Purpose: The new competitive environment characterized by innovation and constant change is forcing a new organizational behavior. This requires a digital transformation of SMEs based on collective performance determinants. SMEs have particular characteristics that differentiate them from large companies and a model that allows them to identify, leverage and develop their digital capabilities can help them to advance in digital maturity. Design/methodology/approach: An in-depth review of the existing literature on digital transformation and organizational competence was carried out on Scopus and Web of Science to identify the digital challenges faced by SMEs, and what digital capabilities they have to develop to face these challenges. In order to obtain the necessary information for the refinement of organizational competence for digital transformation model, six experts were interviewed; three of them are academics and the other three are professionals with management responsibilities in SMEs. We used semi-structured interviews, to keep the interviews focused and facilitate cross-data analysis between experts. In addition, it allowed us the possibility of analyzing new relevant aspects that could arise during the interview. Findings: As a result of this study we have developed a refined model of organizational competence for digital transformation that allows SMEs to identify and develop the digital capabilities necessary to advance in the digital transformation, refined with the opinions of six experts consulted. We were able to observe the importance of organizational learning and organizational knowledge to advance the digital transformation of SMEs.

The handicraft industry is a strong pillar of Indian economy which provides large-scale employment opportunities to artisans in rural and underprivileged communities. However, in this era of globalization, diverse modern designs have rendered traditional designs old and monotonous, causing an alarming decline of handicraft sales. For this age-old industry to survive the global competition, it is imperative to integrate contemporary designs with Indian handicrafts. In this paper, we use novel AI techniques to generate contemporary designs for two popular Indian handicrafts - Ikat and Block Print. These techniques were successfully employed by communities across India to manufacture and sell products with greater appeal and revenue. The designs are evaluated to be significantly more likeable and marketable than the current designs used by artisans.

Electronic commerce (e-Commerce) technologies have been increased over the past two decades in different business sectors. In particular, the technologies of B2C operations have significantly improved the productivity of online small businesses such as SMEs. Systematic literature review in this domain categorized different benefits but a limited number of studies on SME success from a view of an information systems (IS) research exists, which needs to be taken for further attention. Informing through a comprehensive analysis this study introduces a conceptual framework of the application of e-Commerce technologies in accelerating the SME operation. Content analysis methodology was adopted for generating the outcome associated with the success of the technologies in SMEs.

Artificial Intelligence (AI) and Large Language Models (LLMs) are revolutionizing today's business practices; however, their adoption within small and medium-sized enterprises (SMEs) raises serious trust, ethical, and technical issues. In this perspective paper, we introduce a structured, multi-phased framework, "SME-TEAM" for the secure and responsible use of these technologies in SMEs. Based on a conceptual structure of four key pillars, i.e., Data, Algorithms, Human Oversight, and Model Architecture, SME-TEAM bridges theoretical ethical principles with operational practice, enhancing AI capabilities across a wide range of applications in SMEs. Ultimately, this paper provides a structured roadmap for the adoption of these emerging technologies, positioning trust and ethics as a driving force for resilience, competitiveness, and sustainable innovation within the area of business analytics and SMEs.

Customer Relationship Management (CRM) systems are very common in large companies. However, CRM systems are not very common in Small and Medium Enterprises (SMEs). Most SMEs do not implement CRM systems due to several reasons, such as lack of knowledge about CRM or lack of financial resources to implement CRM systems. SMEs have to start implementing Information Systems (IS) technology into their business operations in order to improve business values and gain more competitive advantage over rivals. CRM system has the potential to help improve the business value and competitive capabilities of SMEs. Given the high fixed costs of normal activity of companies, we intend to promote free and viable solutions for small and medium businesses. In this paper, we explain the reasons why SMEs do not implement CRM system and the benefits of using open source CRM system in SMEs. We also describe the functionalities of top open source CRM systems, examining the applicability of these tools in fitting the needs of SMEs.

Large companies are fully engaged in their digital transformation, specifically in developing strategic Business Intelligence (BI) projects. They have a Digital Strategy and top-level executives managing the change. BI projects are also being carried out in SMEs. In this paper, we present the results of an interpretative study conducted on a sample of SMEs from different sectors carrying out BI projects. We study whether BI maturity models are valid for SMEs and their usefulness for analysing the projects and evaluating the results at the end of the project.

Nowadays social media (Twitter, Facebook, etc.), not only simply as communication media, but also for promotion. Social networking media offers many business benefits for companies and organizations. Research purposes is to determine the model of social network media utilization as a promotional media for handicraft business in Palembang city. Qualitative and quantitative research design are used to know how handicraft business in Palembang city utilizing social media networking as a promotional media. The research results show 35% craft businesses already utilizing social media as a promotional media. The social media used are blog development 15%, facebook 46%, and twitter etc. are 39%. The reasons they use social media such as, 1) minimal cost, 2) easily recognizable, 3) global distribution areas. Social media emphasis on direct engagement with customers better. So that the marketing method could be more personal through direct communication with customers.

The primary objective of this research is to examine the current state of digitalization and the integration of artificial intelligence (AI) within small and medium-sized enterprises (SMEs) in Italy. There is a significant gap between SMEs and large corporations in their use of AI, with SMEs facing numerous barriers to adoption. This study identifies critical drivers and obstacles to achieving intelligent transformation, proposing a framework model to address key challenges and provide actionable guidelines

Business optimization is becoming increasingly important because all business activities aim to maximize the profit and performance of products and services, under limited resources and appropriate constraints. Recent developments in support vector machine and metaheuristics show many advantages of these techniques. In particular, particle swarm optimization is now widely used in solving tough optimization problems. In this paper, we use a combination of a recently developed Accelerated PSO and a nonlinear support vector machine to form a framework for solving business optimization problems. We first apply the proposed APSO-SVM to production optimization, and then use it for income prediction and project scheduling. We also carry out some parametric studies and discuss the advantages of the proposed metaheuristic SVM.

Business concepts are studied using a metamodel-based approach, using UML 2.0. The Notation Independent Business concepts metamodel is introduced. The approach offers a mapping between different business modeling notations which could be used for bridging BM tools and boosting the MDA approach.

Personal services can be found in sectors such as education, retail, hospitality, and craftsmanship. As of today, personal service firms lack the know-how and experience on how to implement processes and practices to effectively build digital business ecosystems. This becomes an obstacle for these kinds of firms to overcome the challenges of todays digital age. Based on the guidelines of Design Science Research (DSR), we address this gap by proposing a maturity model, which offers specific guidance for this sector to be able to achieve the transition from analog to digital. The design of the model is grounded in a systematic literature review, semi-structured interviews, and a validation test involving company representatives from the field of personal services, business ecosystems, and digitalization. Results revealed a series of dimensions, capabilities, and maturity stages indicating an evolutionary path towards digital maturity for personal service firms. Thus, leading them to achieve a digital business ecosystem.

Process maps provide a high-level overview of an organisation's business processes. While used for many years in different shapes and forms, there is little shared understanding of the concept and its relationship to enterprise architecture. In this report we position the concept of business process map within the domain of enterprise architecture. Based on literature, we provide a conceptualisation of the process map as a business process architecture model that can be integrated with the broader enterprise architecture model. From our conceptualisation we derive requirements for designing a meta-model of a modelling language for process maps. The design of this meta-model is the subject of a research paper, entitled Architecting Business Process Maps, for which this report acts as a complement that details the underlying process map conceptualisation.

Since the early 90s, the evolution of the Business Process Management (BPM) discipline has been punctuated by successive waves of automation technologies. Some of these technologies enable the automation of individual tasks, while others focus on orchestrating the execution of end-to-end processes. The rise of Generative and Agentic Artificial Intelligence (AI) is opening the way for another such wave. However, this wave is poised to be different because it shifts the focus from automation to autonomy and from design-driven management of business processes to data-driven management, leveraging process mining techniques. This position paper, based on a keynote talk at the 2025 Workshop on AI for BPM, outlines how process mining has laid the foundations on top of which agents can sense process states, reason about improvement opportunities, and act to maintain and optimize performance. The paper proposes an architectural vision for Agentic Business Process Management Systems (A-BPMS): a new class of platforms that integrate autonomy, reasoning, and learning into process management and execution. The paper contends that such systems must support a continuum of processes, spanning from human-driven to fully autonomous, thus redefining the boundaries of process automation and governance.

Every business needs knowledge about their competitors to survive better. One of the information repositories is web. Retrieving Specific information from the web is challenging. An Ontological model is developed to capture specific information by using web semantics. From the Ontology model, the relations between the data are mined using decision tree. From all these a new framework is developed for Business Intelligence.

Supply Chain Management requires addressing a variety of complex decision-making challenges, from sourcing strategies to planning and execution. Over the last few decades, advances in computation and information technologies have enabled the transition from manual, intuition and experience-based decision-making, into more automated and data-driven decisions using a variety of tools that apply optimization techniques. These techniques use mathematical methods to improve decision-making. Unfortunately, business planners and executives still need to spend considerable time and effort to (i) understand and explain the recommendations coming out of these technologies; (ii) analyze various scenarios and answer what-if questions; and (iii) update the mathematical models used in these tools to reflect current business environments. Addressing these challenges requires involving data science teams and/or the technology providers to explain results or make the necessary changes in the technology and hence significantly slows down decision making. Motivated by the recent advances in Large Language Models (LLMs), we report how this disruptive technology can democratize supply chain technology - namely, facilitate the understanding of tools' outcomes, as well as the interaction with supply chain tools without human-in-the-loop. Specifically, we report how we apply LLMs to address the three challenges described above, thus substantially reducing the time to decision from days and weeks to minutes and hours as well as dramatically increasing planners' and executives' productivity and impact.

Small and Medium-sized Enterprises (SMEs) are vital to the modern economy, yet their credit risk analysis often struggles with scarce data, especially for online lenders lacking direct credit records. This paper introduces a Graph Neural Network (GNN)-based framework, leveraging SME interactions from transaction and social data to map spatial dependencies and predict loan default risks. Tests on real-world datasets from Discover and Ant Credit (23.4M nodes for supply chain analysis, 8.6M for default prediction) show the GNN surpasses traditional and other GNN baselines, with AUCs of 0.995 and 0.701 for supply chain mining and default prediction, respectively. It also helps regulators model supply chain disruption impacts on banks, accurately forecasting loan defaults from material shortages, and offers Federal Reserve stress testers key data for CCAR risk buffers. This approach provides a scalable, effective tool for assessing SME credit risk.

This study set out to determine what motivated SMEs in Semarang City to undertake green supply chain management during the COVID-19 and New Normal pandemics. The purposive sampling approach was used as the sampling methodology in this investigation. There are 100 respondents in the research samples. The AMOS 24.0 program's structural equation modelling (SEM) is used in this research method. According to the study's findings, the Strategic Orientation variable significantly and favourably affects the Green Supply Chain Management variable expected to have a value of 0.945, and the Government Regulation variable has a positive and strong influence on the variable Green Supply Chain Management with an estimated value of 0.070, the Green Supply Chain Management variable with an estimated value of has a positive and significant impact on the environmental performance variable. 0.504, the Strategic Orientation variable with an estimated value of has a positive and significant impact on the environmental performance variable. 0.442, The Environmental Performance variable is directly impacted positively and significantly by the Government Regulation variable, with an estimated value of 0.041. This significant positive influence is because SMEs in Semarang City have government regulations, along with government support for facilities regarding efforts to implement the concept of environmental concern, causing high environmental performance caused by the optimal implementation of Green supply chain management is built on a collaboration between the government and the supply chain's participants.

We consider a multi-retailer supply chain where each retailer can dynamically choose when to share information (e.g., local inventory levels or demand observations) with other retailers, incurring a communication cost for each sharing event. This flexible information exchange mechanism contrasts with fixed protocols such as always sharing or never sharing. We formulate a joint optimization of inventory control and communication strategies, aiming to balance the trade-off between communication overhead and operational performance (service levels, holding, and stockout costs). We adopt a common information framework and derive a centralized Partially Observable Markov Decision Process (POMDP) model for a supply chain coordinator. Solving this coordinator's POMDP via dynamic programming characterizes the structure of optimal policies, determining when retailers should communicate and how they should adjust orders based on available information. We show that, in this setting, retailers can often act optimally by sharing only limited summaries of their private data, reducing communication frequency without compromising performance. We also incorporate practical constraints on communication frequency and propose an approximate point-based POMDP solution method (PBVI/SARSOP) to address computational complexity. Numerical experiments on multi-retailer inventory scenarios demonstrate that our approach significantly improves the cost-service trade-off compared to static information sharing policies, effectively optimizing the schedule of information exchange for cooperative inventory control.

Lean manufacturing is a production method focused on reducing production times, eliminating waste, and synchronizing production with fluctuating demand. A standard lean manufacturing methodology is the product wheel, a repeating sequence of production of various items. If this product wheel sequence is short, it is easier to interrupt or alter production to adjust for failures or fluctuations in demand, so the manufacturing process is leaner. However, a sequence that is too short results in frequent changeover from the production of one item to the next, yielding higher costs. This study formulates the product wheel methodology as an optimization problem and proposes two approaches to solving this problem: one via a relaxation to integer linear programming, and another via the probabilistic optimization technique of simulated annealing. We assess the performance of these two approaches through simulations and analyze the relationships between production leanness and costs.

We investigate the possibility of additively manufacturing fibrous sound absorbers using fused deposition modeling. Two methods for 3D printing fibers are proposed. The fiber bridging method involves extruding the filament between two points with no underlying supports. The extrude-and-pull method involves extruding a filament droplet before pulling away the extruder rapidly to generate thin fibers. Both methods can produce fibers with aspect ratios greater than 100. Optical microscopy is used to investigate the effect of various printing parameters on the fiber characteristics. The sound absorption coefficient of samples printed using the two techniques are measured using a two-microphone normal incidence impedance tube setup. Effects of printing parameters and fiber density variables are experimentally studied. The experimental studies are supported by the Johnson-Champoux-Allard semi-empirical analytical model informed using an inverse characterization approach. The analytical model is then utilized to understand the effect of fiber parameters on the acoustical transport parameters. It is observed that the two methods result in individual fibers with distinct characteristics. On average, the fiber bridging method results in thicker fibers, which results in comparatively higher sound absorption. However, the extrude-and-pull method results in fibers with hair-like characteristics (thick base with progressively decreasing thickness) and one may easily incorporate it within existing additive manufacturing routines to add fibers to a base surface, thus opening up a new route towards fiber-enhanced multifunctional structures.

Compared to physics-based computational manufacturing, data-driven models such as machine learning (ML) are alternative approaches to achieve smart manufacturing. However, the data-driven ML's "black box" nature has presented a challenge to interpreting its outcomes. On the other hand, governing physical laws are not effectively utilized to develop data-efficient ML algorithms. To leverage the advantages of ML and physical laws of advanced manufacturing, this paper focuses on the development of a physics-informed machine learning (PIML) model by integrating neural networks and physical laws to improve model accuracy, transparency, and generalization with case studies in laser metal deposition (LMD).

Identifying appropriate manufacturing systems for products can be considered a pivotal manufacturing task contributing to the optimization of operational and planning activities. It has gained importance in the food industry due to the distinct constraints and considerations posed by perishable and non-perishable items in this problem. Hence, this study proposes a new mathematical model according to knowledge discovery as well as an assignment model to optimize manufacturing systems for perishable, non-perishable, and hybrid products tailored to meet their unique characteristics. In the presented model, three objective functions are taken into account: (1) minimizing production costs by assigning the products to the right set of manufacturing systems, (2) maximizing the product quality by assigning the products to the systems, and (3) minimizing total CO2 emissions of the machines. A numerical example is utilized to evaluate the performance of AUGMECON2VIKOR compared to AUGMECON2. The results show that AUGMECON2VIKOR obtains superior Pareto solutions across all objective functions. Furthermore, the sensitivity analysis explores the positive green impacts, influencing both cost and quality.

Relational representation of knowledge makes it possible to perform all the computations and decision making in a uniform relational way by means of special relational compositions called triangle and square products. In this paper some applications in manufacturing related to cost analysis are described. Testing fuzzy relational structures for various relational properties allows us to discover dependencies, hierarchies, similarities, and equivalences of the attributes characterizing technological processes and manufactured artifacts in their relationship to costs and performance. A brief overview of mathematical aspects of BK-relational products is given in Appendix 1 together with further references in the literature.

The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, machine learning (ML), radio-frequency identification (RFID), robotics, 3D-printing, and Internet of Things (IoT) offers Small and Medium Enterprises (SMEs) the chance to improve productivity and efficiency, reduce cost and provide better customer experience, among other benefits. The main purpose of this work is to propose a methodology to support SMEs managers in better understanding the specific requirements for the implementation of Industry 4.0 solutions and the derived benefits within their firms. A proposed methodology will be helpful for SMEs manager to take a decision regarding when and how to migrate to Industry 4.0.

India's growing population and economy have significantly increased the demand and consumption of natural resources. As a result, the potential benefits of transitioning to a circular economic model have been extensively discussed and debated among various Indian stakeholders, including policymakers, industry leaders, and environmental advocates. Despite the numerous initiatives, policies, and transnational strategic partnerships of the Indian government, most small and medium enterprises in India face significant challenges in implementing circular economy practices. This is due to the lack of a clear pathway to measure the current state of the circular economy in Indian industries and the absence of a framework to address these challenges. This paper examines the circularity of the 93-textile industry in India using the C-Readiness Tool. The analysis comprehensively identified 9 categories with 34 barriers to adopting circular economy principles in the textile sector through a narrative literature review. The identified barriers were further compared against the findings from a C-readiness tool assessment, which revealed prominent challenges related to supply chain coordination, consumer engagement, and regulatory compliance within the industry's circularity efforts. In response to these challenges, the article proposes a strategic roadmap that leverages digital technologies to drive the textile industry towards a more sustainable and resilient industrial model.

Enterprise resource Planning (ERP) has become a key business driver in today's world. Retailers are also trying to reap in the benefits of the ERP. In most large Indian Retail Industry ERP systems have replaced nonintegrated information systems with integrated and maintainable software. Retail ERP solution integrates demand and supply effectively to help improve bottom line. The implementation of ERP systems in such firms is a difficult task. So far, ERP implementations have yielded more failures than successes. Very few implementation failures are recorded in the literature because few companies wish to publicize their implementation failure. This paper explores and validates the existing literature empirically to find out the critical success factors that lead to the success of ERP in context to Indian retail industry. The findings of the results provide valuable insights for the researchers and practitioners who are interested in implementing Enterprise Resource Planning systems in retail industry, how best they can utilize their limited resources and to pay adequate attention to those factors that are most likely to have an impact upon the implementation of the ERP system.

Governments are recognizing anticompetitive concerns and market distortions associated with the rise of e-commerce platforms. Thus, policies are being crafted to level the playing field between large platform operators and small platform sellers. In addition, policies mitigating barriers to internationalization associated with using e-commerce platforms are also being developed. This study aims to explore these policy actions impacting the platform-based internationalization of small and micro enterprises (SMEs). The case study method is adopted to provide rich insights into the Indian Government policy actions impacting the e-commerce platform-based internationalization of Indian SMEs. More specifically, this investigation analyzes the extent to which the Indian Government policy actions have mitigated the home market and industry-level barriers to export for SMEs leveraging e-commerce platforms for their internationalization efforts. Study findings provide rich policy implications and fodder for future empirical testing of key qualitative insights uncovered in this study. The online version contains supplementary material available at 10.1007/s11575-022-00492-z.