成衣定制小微企业Z公司的运营策略研究

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随着全球经济的一体化和市场竞争的激烈，企业并购已成为实现战略目标的重要手段。然而，并购过程中涉及到复杂的财务问题和资本运营策略。如何选择合适的并购支付方式、设计合理的并购融资结构、整合财务管理体系、调整和优化资本结构、管理运营资本以及评估并购绩效，是企业并购过程中必须面对和解决的问题。文章旨在为企业提供一套全面的财务资本运营策略，以帮助企业成功地进行并购。基于此，本篇文章对企业并购中的财务资本运营策略进行研究，以供参考。

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“双减”政策的实施重塑了校外培训生态，学科类培训大幅压减，非学科课程迎来了发展机遇期。然而，广告禁令使教培机构传统获客渠道受阻，但私域流量运营凭借低成本触达、强关系链接和可重复利用等特性，成为教培机构非学科课程营销转型的关键路径。本文在分析“双减”背景下教培机构转型困境的基础上，探讨私域流量运营的可行性与合规性边界，系统构建从公域引流、承接沉淀、内容运营、转化复购到老带新裂变的私域全链路运营策略，并结合信任驱动消费的心理机制提出用户转化优化建议。

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樊登读书是知识付费类文化企业代表,通过分析樊登读书在运营策略上主要在用户及产品定位、内容服务、盈利模式三方面进行发力。而未来知识付费文化企业发展也以此收到启发,在参考樊登读书精准定位、优质内容、创新盈利三方面的运营策略之后,聚焦粉丝经济、打造全产业链以及挖掘知识实用性,以促进企业转型升级。

中小企业是国民经济的重要组成部分，企业的运行管理水平决定着国家经济发展活力、创新创业能力以及就业水平。但是由于缺少资金、技术或构架等因素，许多中小型企业难以实施数字化转型升级和产生核心竞争力优势。笔者以重庆运城卡科技有限公司的交通业务以及创维汽车为例，深入分析了企业当下所面临的状况且基于此现状从政策环境等角度出发寻找原因并提出解决方案。

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随着信息技术的迅速发展，数字化转型已成为传统企业发展的关键路径。通过数字技术的深度融合，传统企业能够提升运营效率、优化客户体验并推动创新。然而，数字化转型不仅仅是技术的引入，更是企业运营模式、管理流程和文化的全方位重构。本文探讨了传统企业数字化转型过程中的运营模式重构，分析了实施过程中面临的挑战与效果评估，结合实际案例为传统企业转型提供参考。

成本管理直接影响到企业的盈利能力及效益空间，是企业日常运营管理的重要组成部分，管理会计在成本管理中的应用，能够延伸管理会计的职能边界，强化成本控制效果，通过降低企业成本提升企业经营效益。文章主要探讨管理会计在企业成本管理中的应用，以分析管理会计与成本管理的关系为切入点，总结成本管理中管理会计的主要内容、需要遵循的基本原则，并提出具体的应用策略，旨在为提升企业成本控制效果提供参考。

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随着智能制造的快速发展，柔性化设计作为提升生产灵活性和响应速度的关键技术，在制造业中发挥着日益重要的作用。本文系统分析了柔性化设计在智能制造中的理论基础、核心思想及其与智能制造的紧密关系，指出柔性化设计通过模块化、可重构性和可扩展性等技术手段，有效提升了生产系统的灵活性和应变能力。在实际应用中，柔性化设计在生产线改造、供应链管理和产品设计等多个方面展现出显著优势，推动了制造业向更高效、更智能的方向发展。然而，柔性化设计在智能制造中的应用也面临技术和管理等方面的挑战，如高精度高效率的生产要求、复杂的管理流程等。针对这些挑战，本文提出了加强技术创新、优化管理流程、提升管理水平等应对策略，以期推动柔性化设计在智能制造中的深入应用与发展。

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在数字经济背景下，制造企业数字化转型是提升核心竞争力的必然选择。本文围绕其必要性、困境与路径展开研究。转型必要性体现在三方面：一是应对市场竞争与政策导向的生存刚需，通过柔性定制匹配需求、突破产业链“低端锁定”并满足“双碳”要求；二是提升运营效率与供应链韧性的核心路径，依托工业互联网等技术可使离散制造业效率提升；三是推动价值创新，助力企业向服务集成商转型，构建“数据-知识-价值”生态。转型面临五大困境：技术适配与系统整合存在梗阻，老旧设备改造难且数据孤岛突出；成本高企与回报模糊引发焦虑，中小企业面临资金与效益量化难题；组织惯性阻碍跨部门协同；复合型人才短缺形成制约；数据安全与合规压力加剧不确定性。对此，本文提出针对性路径：渐进式技术改造与平台化整合破解技术断层；场景化攻坚构建效益闭环；顶层战略与敏捷组织打破协同壁垒；分层育才攻克人才瓶颈；全链路安全防护筑牢风险底线，为制造企业转型提供实践指引。

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Mass customization is a new approach to manufacturing and providing services that is revolutionizing business and mainly in textile and apparel field. How can we model the mass customization level?  In this study we will present a review of the mass customization concept in textile and apparel field, and some key success factors such as modular product design. It presents also a framework, aiming to develop the mass customization for textile and apparel industries, by reviewing and modeling the mass customization strategy by assessing the mass production level and the co-design experience level and by presenting some scales to classify the mass customization level.

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The fashion industry is rapidly transitioning toward hyper-personalized products, yet traditional customization often suffers from long sampling cycles, fragmented cultural translation, and inconsistent visual outcomes. Meanwhile, generative AI and 3D garment simulation provide new capabilities for fast ideation and virtual prototyping, but they also introduce governance risks (e.g., cultural misrepresentation, visual drift, IP ambiguity, and unstable quality across iterations). This paper proposes a Digital-Intelligent Customization Workflow (DICW) that integrates (1) cultural research and rule-based knowledge structuring, (2) knowledge-graph–supported design constraints, (3) AI-assisted pattern/color generation, and (4) Style3D/CLO-class 3D virtual fitting for rapid iteration, forming a closed loop from concept to deliverable output. We validate DICW through a process-based case study of a “Guochao” apparel project that emphasizes sustainable color–pattern innovation and structural transformation from 2D patchwork logic to 3D garment architecture. The case documents each stage from cultural motif extraction to garment module decomposition, AI refinement, virtual drape verification, and final presentation outputs, while mapping major risks and mitigation strategies. Results indicate that combining protocolized constraints with AI generation reduces rework, improves cross-variant consistency, and strengthens compliance-oriented governance for cultural design innovation.

PurposeMass customization is a production process that allows consumers to customize products from an array of options to suit their preferences and needs and benefit from large-scale production efficiencies. In recent years, several apparel retailers have integrated customization into their online presence. While the benefits of online apparel mass customization (OAMC) are apparent, factors that determine the usage of the process are many. Therefore, it is important to explore these factors and understand the relationships between them and the impact on the intention to use OAMC.Design/methodology/approachA review of studies published in the last decade was conducted through the Scopus, Web of Science and JSTOR databases in September 2023. Peer-reviewed research articles published in the English language were included. These studies were carried out in the United States of America, Canada, Korea and China and addressed motivations and antecedents of OAMC technology.FindingsThe data were extracted, and the findings were synthesized. The review process enabled us to examine several theories and determinants of OAMC. The latter were categorized into the following themes: “consumer personality and psychology”, “consumer perceptions”, “consumer behaviour determinants” and “process, experience and product”. The influence of consumer personality traits, psychogenic needs, characteristics and other facilitating conditions emerged through the review.Originality/valueThe purpose of this paper is to study the various determinants of OAMC and thereby provide valuable information to businesses in OAMC domains to improve customized processes, understand consumers' motivations and develop marketing strategies that improve overall satisfaction with OAMC.

With the development and adjustment of the industrial structure, the manufacturing industry, especially the transformation and upgrading of the apparel industry, is crucial for Chinas high-quality economic development. This paper studies the strategies of cooperation, consumer demand response, and risk identification and control in the mass customization market of the Chinese apparel industry. Firstly, it explores the co-creation strategies among enterprises in mass customization, analyzing cases of efficient resource allocation and cooperation in excellent apparel companies. Secondly, from the consumer behavior perspective, it studies how companies meet personalized needs through combined online and offline marketing models and brand positioning strategies. Finally, analyzing the supply chain, consumers, and internal aspects of enterprises, the risk factors in the mass customization market are identified, and corresponding pre-control measures are proposed. This study aims to provide management suggestions for apparel enterprises in the wave of mass customization, helping small to medium-sized enterprises (SMEs) face market challenges and improve operational efficiency and market competitiveness.

Abstract: With the continuous advancement of technology and the popularization of the Internet, consumers' demand for personalized products is increasingly high. Traditional production modes have been unable to meet consumers' demands for product uniqueness and personalized experiences, which requires manufacturing enterprises to shift towards mass customization modes with unique advantages in production efficiency and cost control. Taking Nike as an example, this paper analyzes its supply chain problems based on its financial report. It then explores Nike's mass customization process using C2M and 3D printing, as well as information collaboration methods in the supply chain. Additionally, the paper analyzes AR-based virtual fitting technology and evaluates Nike's internal matrix organizational structure for customization and collaboration. From the perspectives of Nike's technology level and internal organizational structure, this paper analyzes the supply chain management and information collaboration process in its mass customization process, aiming to provide references for related manufacturing industries in enterprise operation and technology application during the mass customization process.

The rapid growth of e-commerce has significantly transformed the operational landscape of the apparel industry, emphasizing the need for efficient and responsive supply chain systems. Apparel manufacturers, particularly in developing countries such as Bangladesh, face increasing challenges due to rising labor costs, regulatory pressures, and unreliable access to essential resources like electricity and natural gas. These constraints have intensified the need for cost-effective and sustainable operational strategies. This study examines the impact of supply chain optimization on enhancing e-commerce performance in the apparel sector. It highlights how inefficiencies in traditional supply chain processes—especially those caused by poor information flow—lead to increased operational costs and delays. The research explores the integration of e-commerce technologies, particularly a centralized database system (CDS), as a solution to improve coordination among supply chain stakeholders, including manufacturers, suppliers, and retailers. The findings suggest that adopting a digital, ecommerce-based supply chain system significantly improves order processing speed, reduces lead times, and enhances overall transparency. By replacing manual, email-based communication with real-time data sharing, organizations can achieve greater agility and responsiveness. The study concludes that supply chain optimization through e-commerce integration is essential for improving efficiency, reducing costs, and maintaining competitiveness in the global apparel market.

With the development of Internet technology, increasing numbers of people would like to have clothes that are customized to meet their personalization requirements. The purpose of this study is to explore how visual-audio merchandising elements affect consumers’ impulsive purchase intentions in apparel e-customization. There are five dimensions to visual-audio merchandising elements, i.e. the perceived visual-audio of environmental atmosphere, the perceived visual of apparel attributes, the perceived visual-audio of apparel presentation effects, the perceived visual of fashion information, and the perceived visual of service information. Supported by the stimulus-organism-response model, a theoretical model is constructed with positive emotion as the mediating variable. The exploratory and confirmatory factor analysis, reliability analysis, regression analysis, and mediating effect test are adopted to analyze 361 valid datasets. The application and feedback are conducted as well. The findings indicate that (a) visual-audio merchandising elements, perceived visual-audio of environmental atmosphere, perceived visual of apparel attributes, perceived visual of fashion information, and perceived visual of service information positively influence impulsive purchase intentions; (b) perceived visual-audio of apparel presentation effects have no direct significant effect on impulsive purchase intentions; (c) visual-audio merchandising elements, perceived visual-audio of environmental atmosphere, perceived visual of apparel attributes, perceived visual-audio of apparel presentation effects, perceived visual of fashion information, and perceived visual of service information positively influence positive emotion; (d) positive emotion positively influences impulsive purchase intentions; and (e) positive emotion mediates the relationship between visual-audio merchandising elements and impulsive purchase intentions. The quality of technology and service should be considered by brand managers. The findings contribute to fashion brand e-customization and online shopping strategies and provide suggestions on consumers’ impulsive purchase intentions.

This study explores the strategic response of Simuh Konveksi, a micro-scale garment business located in Banyumas, Central Java, in facing increasing competition and digital transformation within Indonesia’s apparel industry. The objective is to examine how traditional micro-convection enterprises sustain their operations, innovate, and maintain social relevance amidst a changing economic landscape. Using a qualitative case study method, data were collected through in-depth interviews with the business owner and local workers, supported by direct field observations. The findings reveal that Simuh Konveksi adopts a localization strategy by sourcing materials and labor locally, enabling cost efficiency, product authenticity, and rapid response to market demand. It also applies personalized production processes and informal digital marketing through Instagram, TikTok, and Google Business. These platforms allow the business to reach younger demographics and strengthen customer engagement at low cost. Furthermore, the enterprise empowers local labor, maintains flexible pricing strategies, and builds long-term customer relationships, all of which contribute to its sustainability. The study highlights how micro-enterprises can remain competitive by integrating local strengths with accessible digital tools. This research contributes to the literature on resilient entrepreneurship, especially within the context of Indonesian MSMEs, and offers practical implications for policy formulation and digital empowerment programs targeting micro-scale businesses.

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Apparel mass customization can effectively meet consumers personalized, diversified needs and reasonably control production costs and delivery time, and the postponement manufacturing is one of its core strategies. Typical cases that garment industry applied postponed strategy into the production are introduced systematically, and present two key technologies-product differentiation delay and design production modularization. Delay product differentiation which is driven into production process by accurate information, avoids the drawbacks of forecasting relying on the experience, and modularization achieves large scale production as well as get the goal of customization. The postponed manufacturing theory, methods, cases, and implementation strategy in the apparel industry field have been explained systematically in order to provide new ideas and references for the apparel enterprises which are in the transformation and upgrading process to obtain core competitiveness and to open up new production business model.

This study explores why resource-constrained small and medium-sized enterprises (SMEs) in developing countries and weak institutional contexts embrace corporate sustainability (CS), focusing on a Sri Lankan apparel firm that institutionalized CS, despite systemic challenges. Drawing on institutional, resilience, and identity framing theories, the study adopts an exploratory single-case design to examine how internal leadership decisions interact with external pressures and are interpreted and embedded through leadership framing. The findings question the common belief that CS in the Global South is driven by external forces, symbolic actions, or structural limits. Instead, sustainability is shown as a moral and risk-management-oriented survival strategy, shaped by a strong underdog identity and close-knit operations. An emergent conceptual framework highlights how SMEs translate buyer demands and local constraints into embedded practices, through purpose-driven adaptation. It offers fresh insights into how SMEs in low-capacity and weak institutional environments lead sustainability efforts and suggests the need for context-aware policy support.

Consumer involvement in product design through co-design strategies continues to evolve alongside advances in digital technology, particularly in the apparel and accessories industry. This process can be facilitated through digital platforms, specifically websites. This study aims to analyze and formulate web design strategies for co-design platforms that can accommodate consumer needs in the customization process of clothing and accessories. Using a descriptive qualitative method, this research examines consumer needs, which consist of clothing types, clothing parts, clothing details, and co-design tools within the co-design process. Additionally, it explores aspects of customer interface, visual elements, and usability in web interfaces. The findings from this analysis are then compiled to serve as a reference for the future development of co-design websites for apparel and accessories.

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Small and medium-sized enterprises (SMEs) in India’s retail sector operate under conditions of intense competition, rising operational costs, and rapidly evolving consumer preferences. This case study examines the strategic and marketing challenges faced by Vrisa Boutique, a small women-led retail enterprise in Bhopal, India, specializing in couture stitching, ethnic wear, fabrics, furnishings, and accessories. While the boutique enjoys a loyal customer base for tailoring services, it struggles with low margins, high fixed costs, underperforming ready-made garment sales, and limited digital visibility. Using a qualitative, consultancy-based research design, the study draws on primary data collected through in-depth interviews, on-site observation, and financial discussions with the owners, supplemented by secondary literature on SME strategy and retail transformation. Analytical frameworks including SWOT, PESTLE, Porter’s Five Forces, the Balanced Scorecard, and the 5H reflective model are applied to diagnose challenges and develop actionable recommendations. The findings indicate that repositioning tailoring as a value-added service, adopting service bundling, strengthening customer relationship management, and embracing low-cost digital marketing can significantly improve profitability and sustainability. The case contributes to the literature on SME resilience and boutique retailing in emerging economies by demonstrating how theory-driven yet context-sensitive strategies can be implemented by resource-constrained businesses. It also highlights the role of women entrepreneurship and hybrid physical–digital strategies in post-pandemic retail recovery.

ABSTRACT Women entrepreneurship research in the developing world relies on theoretical perspectives derived elsewhere. Hence, understanding the original business-development approaches adopted by women entrepreneurs in developing economies remains elusive. Accordingly, we collected and analyzed rich data generated through 31 in-depth interviews and artifacts of Nigerian women entrepreneurs in the garment manufacturing business. Our analysis revealed distinct constructs that account for their business-development activities. It shows money (access and utilization), market (customer intelligence), and management (nonformal education and experience) as crucial enterprise development components in women entrepreneurship. Motherhood (household responsibilities), meso- and macro-environments (socioeconomic and cultural factors) not only affected business development but also inhibited women entrepreneurs’ access and utilization of money, management, and markets and shaped their business development actions. Theoretical and practical implications for entrepreneurship research and policy development initiatives in the developing world are offered.

Although the extant research in entrepreneurial innovation shows how organizational challenges could enact such innovations, the relationship between organizational challenges and organizational innovation under the small and medium enterprise (SME) context requires attention. Especially considering that SMEs face supply chain challenges, we need to know whether such challenges consistently enact supply chain innovations. Moreover, although those innovations can address the immediate SME challenges, extant research does not capture the life cycle of the innovations efficiently. To find an answer to this theoretical quest, we conduct participatory case research at Saha Textile, India. The founder of Saha Textile started his journey as a small garment shop owner in a Bazar. Within two decades, Saha Textile became one of the most prominent vertically integrated organizations in the Indian textile sector. Our reflexive process study reveals that the organization faced multiple survival threats throughout its journey. The uniqueness of the organizational crisis enacted sensemaking in the organization. The organization looked at unusual and unconventional resources within its access and creatively converted those into valuable resources to address the challenges. If successful with the creative attempts in addressing the pressing challenges—the organization further strengthened those resources into core competence. Over time, the organizational learning in converting crisis to core competencies through creative utilization of resources became rational heuristics and acted as a (higher-order) dynamic capability. Our inductive theorization makes a significant academic contribution as it proposes a generalizable dynamic capability process model of converting crisis into innovation and capitalizing such innovations as a core competence. Our research points out the possibility of standardizing and leveraging innovations-as-crisis-responses as core competence towards a sustainable competitive advantage for practice.

The purpose of this research is to analyze the effect of EB application to operational performance through buyer-supplier collaboration, as well as the influence of buyer-supplier collaboration on operational performance. The context of small industries that ultimately by empowering the community will increase business competitiveness. Community empowerment is a process of creating a community and control over its environment. One concept that is considered as a new paradigm today is e-business (EB), which continues to grow. Data analysis method used is Structural Equation Model (SEM) by the use of PLS program. Based on the analysis from various industries such small garment manufacture, furniture and food, showed that all companies have a supply chain patterns are almost the same. Each company has associated premises supplier, manufacturing and enterprise users of the product. One way to empower the environment is to improve business competitiveness. The development of information and communication technology has been developing very fast and it has brought a significant impact for many aspects of life, including in the business world. EB existence of a significant impact on business practices, at least in terms of the improvement of direct marketing, and organizational transformation.

This study analyzes the effect of implementing business model resources, digital innovation activities, business models, and innovation capacity on low-middle enterprise performance. The background of the research is due to the Covid-19 pandemic, which has caused a decrease in the number of low-middle enterprises accompanied by the digital disruption that makes people habitually move online. A pandemic and digital disruption have forced low-middle enterprise business owners in jewelry shops, especially Blora Regency and Grobogan Regency, to implement digital innovation into their business models to improve company performance. However, many business owners have not implemented digitalization because they are not fully willing to allocate funds for business model resources and innovation practices—the quantitative method with data collection tools in the form of a Likert scale questionnaire. The sample used is a jewelry shop located in Blora Regency and Grobogan Regency with several criteria. The number of samples was calculated by the Hair formula. The variables used in this research are Business Model Resources (X1), Digital Innovation Activities (X2), Business Model (X3), Innovation Capacity (X4), and Company Performance (X5). Data analysis using SEM method with the help of SmartPLS 3.0 software. The study results show a significant relationship between variables except for the Digital Innovation Activity (X2) and Business Model (X3) variables because digital innovation activities lack a competitive advantage against market needs.

The jamu (herbal medicine) industry in Indonesia experienced significant expansion during the COVID-19 pandemic. However, subsequent to the abatement of the pandemic, a substantial number of enterprises engaged in jamu production faced insolvency precipitated by a pronounced downturn in demand for herbal remedies. This study aims to identify how a small enterprise responds the market changes in the post-pandemic market and how to build new strategies based on the changes. Focusing on an Indonesian jamu small enterprise, namely AIG Bunda Nisa, this study implemented a qualitative longitudinal case study design based on nine aspects of the business model canvas (BMC) including customer segments, value propositions, channels, customer relationships, revenue streams, key resources, key activities, key partners, and cost structure (Toro-Jarrín et al., 2016). The SWOT analysis was conducted to formulate the most suitable strategy to be applied to each aspect of BMC. The results showed that most aspects have attack and improve strategy. Concentration on the proficient management of extant organizational assets and the optimization of the role of social media are the suggested actions for AIG Bunda Nisa to survive in the post-pandemic era. The strategies proffered may serve as viable alternatives and sources of inspiration for similar enterprises with commensurate circumstances.

Background: Tea stands as one of Indonesia's primary plantation commodities. The demand for tea in the domestic market is currently experiencing positive growth, reflecting shifts in consumer lifestyles and an increased interest in health products. Among the varieties of processed tea available, artisan tea stands out for its superior quality and distinctive characteristics. CV BMB, a family-owned small-scale enterprise, specializes in the development of various artisan tea products. This startup has received support from the startup incubation program provided by the Start Up-Business Development and Incubation Agency of Universitas Airlangga and the Ministry of Cooperatives and Small and Medium Enterprises of the Republic of Indonesia. Given its niche market and unique business management approach based on familial relationships, this company presents an intriguing case for analyzing its business model. Objective: This research aims to analyze the business model and competitive strategies of CV BMB, to enable it to compete effectively and sustain growth in a competitive market. Method: This research was conducted using a phenomenological approach. The analysis of CV BMB's artisan tea business model was carried out using the business model canvas. Subsequently, Porter's Five Forces analysis was conducted to obtain suitable competitive strategies for small-scale family businesses producing artisan tea. Results: Porter's Five Forces analysis successfully identified competitive elements within the artisan tea market. Additionally, nine elements in the business canvas model have been identified, contributing to the competitive strategy and development of CV BMB as a small-scale family business producing artisan tea. Three alternative strategies for BMB's business development have been outlined: market expansion, product innovation and development, and management enhancement. Conclusion: The uniqueness of BMB's artisanal tea products, and the market niche that is still open, is an opportunity for future development. As a family business company, the strategy implementation of business model analysis is expected to drive BMB's positive growth. Keywords: artisan tea; family business; business model canvas.

This study seeks to examine the relationships among artificial intelligence capability (AIC), business model innovation (BMI), and the competitive advantage of enterprises (CAE) within the framework of dynamic capabilities theory. It specifically focuses on how small and medium-sized (SMEs) enterprises utilise artificial intelligence capability to foster business model innovation in a digital context, thereby attaining a sustainable competitive advantage. This study utilises a questionnaire survey to gather empirical data from 546 SMEs in China. Structural equation modelling was employed for quantitative analysis to examine the direct effect of artificial intelligence capabilities on competitive advantage, alongside the mediating role of business model innovation. Research indicates that three primary components of artificial intelligence capabilities, tangible resources, intangible resources, and skill resources, exert a significant positive influence on a company's competitive advantage. At the same time, business model innovation serves as a mediating factor within this relationship. Moreover, the findings underscore the necessity for firms to proactively adapt to technological advancements and to foster the synergistic development of artificial intelligence capabilities alongside business model innovation to enhance their competitiveness in a rapidly evolving environment. This study extends the dynamic capabilities theory from the perspective of artificial intelligence, proposing AI capability as a systemic and multidimensional dynamic capability, emphasising its transformative role in the ways small and medium-sized enterprises create and capture value. The research not only enriches the theoretical understanding in the field of artificial intelligence but also offers practical insights and policy recommendations for SMEs on how to achieve a competitive advantage through the development of AI capabilities.

ABSTRACT This study investigates the associations between market dynamism and business model innovation, focusing on the roles of strategic flexibility and entrepreneurial orientation. Based on dynamic capability theory, data were gathered using a closed-ended questionnaire distributed to 370 Ghanaian small and medium-sized enterprises (SMEs) via the Ghana Enterprise Agency. SmartPLS was used for the data analysis and path modeling. Findings suggest that market dynamism has a significantly impact on business model innovation. Entrepreneurial orientation has a full mediating effect on the relationship, while strategic flexibility partially moderates it. This study highlights entrepreneurial orientation and strategic flexibility as key mechanisms that enable SMEs to navigate market dynamism and drive innovation. Integrating dynamic capability theory provides insights into how these capabilities influence innovation outcomes in dynamic environments. This study recommends that policy makers prioritize frameworks that support the development of entrepreneurial orientation and strategic flexibility to enhance business model innovation, thereby ensuring resilience and long-term success.

Purpose3D printing has been warmly welcomed by clothing enterprises for its customization capacity in recent years. However, such clothing enterprises have to face the digital transformation challenges brought by 3D printing. Since the business model is a competitive weapon for modern enterprises, there is a research gap between business model innovation and digital transformation challenges for 3D-printing garment enterprises. The aim of the paper is to innovate a new business model for 3D-printing garment enterprises in digital transformation.Design/methodology/approachA business model innovation canvas (BMIC), a new method for business model innovation, is used to innovate a new 3D-printing clothing enterprises business model in the context of digital transformation. The business model canvas (BMC) method is adopted to illustrate the new business model. The business model ecosystem is used to design the operating architecture and mechanism of the new business model.FindingsFirst, 3D-printing clothing enterprises are facing digital transformation, and they urgently need to innovate new business models. Second, mass customization and distributed manufacturing are important ways of solving the business model problems faced by 3D-printing clothing enterprises in the process of digital transformation. Third, BMIC has proven to be an effective tool for business model innovation.Research limitations/implicationsThe new mass deep customization-distributed manufacturing (MDC-DM) business model is universal. As such, it can provide an important theoretical reference for other scholars to study similar problems. The digital transformation background is taken into account in the process of business model innovation. Therefore, this is the first hybrid research that has been focused on 3D printing, garment enterprises, digital transformation and business model innovation. On the other hand, business model innovation is a type of exploratory research, which means that the MDC-DM business model’s application effect cannot be immediately observed and requires further verification in the future.Practical implicationsThe new business model MDC-DM is not only applicable to 3D-printing garment enterprises but also to some other enterprises that are either using or will use 3D printing to enhance their core competitiveness.Originality/valueA new business model, MDC-DM, is created through BMIC, which allows 3D-printing garment enterprises to meet the challenges of digital transformation. In addition, the original canvas of the MDC-DM business model is designed using BMC. Moreover, the ecosystem of the MDC-DM business model is constructed, and its operation mechanisms are comprehensively designed.

For Small and Medium-sized Enterprises, Business model innovation is an effective way to promote business transformation and upgrading. The innovation of business model depends on the choice of innovation approaches. Based on the competitive market, Small and Medium-sized Enterprises should take advantage of all opportunities to achieve specialized operating. In order to promote their sustainable development, Small and Medium-sized Enterprises are supposed to foster the core driving mechanism of business innovation and promote the development of e-commerce, and finally cultivate their own core competitiveness.

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Purpose Aside from grappling with technological advancements, enterprises in the industrial internet era are embracing business model innovation to align with the evolution of the industrial internet. However, a gap persists in the existing research regarding the strategies and methods available to small and medium-sized enterprises (SMEs) for executing business model innovation. Therefore, this paper aims to explore the connotation, characteristics and logic of business model innovation for SMEs in the industrial internet era. Design/methodology/approach To explore the business model innovation logic of small and medium-sized enterprises in the era of industrial internet, the paper adopts a longitudinal single-case study approach, with PAYA, a medium-sized enterprise in the electromechanical industry, serving as the subject of research. It systematically analyzes PAYA’s business model innovation, centering on four key elements of the business model: value proposition, value creation, value delivery and value capture. Findings The study proposes two types of business model innovation, namely, “Migration” and “Expansion”, and explains the logic of business model innovation for SMEs in the industrial internet era: faced with a rapidly changing market environment, entrepreneurs put forward the value proposition through the insight of the market environment, then enterprises conduct technological innovation to support the value creation by their own unique experience and knowledge, and then improve the legitimacy of the market by expanding the influence of market acceptance of the new business model to promote the value delivery, and finally capture the economic value and ecological value. Originality/value The types and logic of business model innovation proposed in this paper contribute to supplementing and developing the theory of business model innovation and meanwhile have important reference value for SMEs in the industrial internet era.

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As fashion mass customization has been developing rapidly in the recent decade, supply chain in apparel industry was required to be more flexible for meeting the need of quick response toward the dynamic changes in the fashion market. Forecast-based make-to-stock production strategy was not suitable anymore. Make-to-order strategy was employed by more and more apparel companies. However, there were still many defects in traditional make-to-order apparel supply chain, e.g., sustainability is still at a low level. In this study, we proposed a collaborative cloud service platform to develop a novel model of sustainable make-to-order apparel supply chain. A service provider selection heuristic was designed for this platform to optimally select suppliers corresponding to each received demand. Multi-agent-based simulation technology was utilized to build the proposed platform and to evaluate the new sustainable supply chain model. Experiment was conducted in the simulation to compare our new model to traditional apparel make-to-order model and model with outsourcing mechanism. Based on simulation results, the remarkable improvement in terms of sustainability of the proposed platform and corresponding supply chain model was demonstrated.

The fashion industry is constantly evolving, and new technologies are playing an increasingly important role in shaping the way clothing is designed, produced, and consumed. One technology that is gaining attention in the fashion industry is 3D body scanning. This technology uses sensors and cameras to create a digital representation of a person's body measurements, which can be used to create custom-fit clothing and improve the fit of mass-produced clothing. In this paper article, we aim to explore the impact of 3D body scanning technology on the downstream apparel supply chains, including the benefits, disruptive changes, risks and challenges, and limitations of the technology, based on literature review analysis. The analysis results suggests that 3D implementation can effectively improve garment fitting, reduce waste, and enable customization, resulting in enhanced customer satisfaction and environmental sustainability.

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A Computer-aided Production System for Mass Customization in Fashion In order to meet the demands of the market, a computer-aided production system for mass customization in fashion is proposed. The system enables the automation of dimension collection, pattern generation and fabric cutting. By integrating the system with the processes of garment sewing, fitting test and final adjustment, mass customization can be realized in the apparel industry. For the manufacturers, the efficiency of the supply chain can be improved by reducing human efforts, costs, and production time. For the customers, better fitness with faster delivery stimulates the desire of purchase and enhances their satisfaction.

Artificial intelligence (AI) is revolutionizing industries by enhancing efficiency and optimizing labor. For apparel manufacturing, AI addresses critical challenges in productivity, personalization, and digital transformation. This study analyzes Youngor Group’s intelligent transformation (2015–2021) through case studies, financial data, and innovation assessments. Key findings show: Production: Smart factories with AI task allocation and MES systems reduced customization cycles by 67%, increased per-worker output by 27.8%, and achieved 100% mass customization capacity.Marketing: 3D body scanning and 5G+AR virtual fitting improved customer profiling accuracy by 40%, while integrated online-offline strategies drove 11% annual revenue growth. Innovations like digital twin workshops, smart logistics, and immersive retail spaces strengthened supply chain flexibility and consumer engagement. However, cross-departmental data silos lowered collaboration efficiency by 15%, and R&D investment remained below 3% of total expenditure, reflecting talent gaps. The study concludes that apparel firms must prioritize intelligent production as the cornerstone, adopt phased technology integration, and invest in data governance and cross-disciplinary talent. While offering a framework for traditional manufacturing transformation, the research highlights limitations in generalizing single-case results, advocating future multi-industry comparisons for broader validation.

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The advent of digital technologies in the fashion retail industry has completely changed the online shopping experiences, for customized apparel fit. In the fashion industry, virtual size and fit technologies are crucial for enhancing customer satisfaction. While China is leading by integrating fitting experience at Web 3.0 Metaverse, unlikely Pakistan the countries who do not utilize these technologies are still functioning on Web 2.0. At the same time, the lack of size and fit visualization tools renders personalization, making it evident that there is a huge technological concern that needs addressing in Pakistani Fashion E-commerce. This study focuses on exploration and evaluation of the digital anthropometric technologies on improving size and fit features in the fashion industry. In particular, it studies how Chinese fashion interfaces employ advanced technologies compared to the conventional systems used by Pakistani brands in order to improve customer satisfaction and promote mass customization. The selected Pakistani fashion brand websites were compared with technologically advanced Chinese fashion platforms. The evaluation was done on their use of digital tools, fitting systems, and integration of Web 2.0 and Web 3.0 Metaverse. It has been observed that Chinese platforms have embraced Web 3.0 technologies, which incorporates metaverse environments, whereas Pakistani fashion brands largely use Web 2.0 technologies that have limited interactive features. The deployment of Web 3.0 metaverse helps in global luxury branding, enhancing interactive customer environment. In order to be competitive in the global market, the Pakistani fashion retailers should incorporate new digital technologies as proposed by the findings. Embracing size and fit solutions not only supports sustainable practices like made-to-measure garments but also paves the way for scalable mass customization and digital fashion commerce. Keywords: E-commerce, Digital Technological Advancement, Mass Customization, Virtual Size and Fit Recommendation, Metaverse, Web 3.0 Technology

The objective of this paper is to identify the role of entrepreneurship and its effectiveness in uplifting the socio-economic status and alleviating poverty in rural areas in the Northern region of Malaysia, specifically in Perlis, Kedah, Penang, and Perak. The study measures the outcomes of entrepreneur development programs, focusing on income increases, job creation, promotion of digitalization, and business expansion beyond local borders. The research examines various factors and interventions made through the entrepreneurship program in relation to socio-economic status, poverty alleviation, income levels, job creation, and business expansion. Data collected from 2019 to 2024, fully verified through both qualitative and quantitative methods, indicate significant positive outcomes from the implemented programs. The study assesses specific strategies such as profiling studies, customized training programs, provision of starter kits, community-based approaches, and the establishment of supply chains tailored to the unique needs of each area. The findings conclude that targeted and context- specific entrepreneurship interventions significantly contribute to sustainable socio-economic development in rural areas. Key success factors include local and federal cooperation, support from financing bodies, and tailored programs, driving long-term economic resilience and reducing socioeconomic disparities, particularly among women, youth, and indigenous communities. This paper contributes to the understanding of the factors that encourage rural entrepreneurship and their broader impacts on socio-economic development, providing valuable insights and recommendations for policymakers and practitioners to enhance the effectiveness of rural entrepreneurship programs in Malaysia and beyond.

The main drawbacks of the previous tailor-made clothing method in the garment manufacturing industry are long production cycle, large measurement error and low output, which can no longer meet the needs of consumers for tailor-made large-scale clothing. With the rapid development of artificial intelligence, computer graphics, and virtual reality technology, the trend of digital clothing technology is idle 3D. In this paper, deep learning hierarchical perception technology is used to design 3D clothing, establish human feature recognition and 3D clothing digital modeling, use deep learning neural network model to identify 3D human body shape features, judge feature lines according to the set threshold, and obtain feature points according to the identified feature lines to fit the human dimension curve, so as to measure human body size. Realize 3D clothing design. By applying deep learning hierarchical perception technology, it can effectively improve the measurement accuracy of clothing size, reduce measurement errors, and achieve mass production.

The digital world generates massive volumes of data, and it is critical to analyse them. With machine learning and powerful visualization tools, the competition to innovate and succeed in this industry has made a significant leap towards tailoring data-driven solutions. Analyzing these data has never been easier and the insights gathered can transform many businesses. In this paper, four different clustering techniques were compared namely, K-means, Agglomerative, Birch, and Spectral clustering. Three separate performance metrics were used to find the effectiveness of these algorithms: the Silhouette coefficient, the Calinski-Harabasz score, and the Davies-Bouldin index. Based on the analysis, it was found that the K-means clustering algorithm outscored the other three by a higher performance measure score. The insights gathered from clustering led to the formulation of critical business strategies. This study also provides an in-depth look into expressing corporate strategies with advanced machine learning technologies. There are several applications to it, including classification, clustering, prediction, and big data visualization.