社会心理枯竭视阈下基于生态疗愈的绿色消费助推机制研究

This research investigates the impact of eco-friendly marketing strategies on environmentally aware actions displayed by tourists in the Chinese hospitality sector. This research evaluates the relationships between green consumption value and pro-environmental self-identity and felt obligation to explain consumer behavior by applying the Stimulus-Organism-Response (S-O-R) model framework. A total of 437 hospitality consumers took part in the study, and data analysis was conducted using structural equation modeling. Result data indicates that eco-friendly marketing practices directly stimulate tourists to adopt sustainable behaviors. The relationships between these effects become stronger through the pathway influence of green consumption value and pro-environmental self-identity. Felt obligation strengthens the relationships between these variables because it increases the likelihood of people taking eco-conscious actions. The research demonstrates practical and theoretical value by showing businesses how to use green marketing effectively for sustainability promotion in hospitality operations. The study indicates that organizations must unite identity-based marketing with value-based methods to encourage environmentally sustainable actions that advance worldwide conservation programs.

Since the advent of the Industrial Revolution, factories have been spewing out noxious substances at an unmitigated rate, leading to environmental degradation. The need for sustainable consumption has stoked the desire for green products. The study aims to contribute to the existing body of knowledge regarding the use of eco‐labels by firms in order to meet the consumers' green purchasing behaviour. The study employs a mixed‐method approach to investigate the underlying psychological aspects that affect consumers' green purchasing behaviour. The current study used the grounded theory method to identify themes and variables based on the data collected through interviews. These themes and variables were subsequently used to construct the conceptual framework for the qualitative analysis. The conceptual framework was then empirically tested using Partial Least Squares Structural Equation Modelling (PLS‐SEM) statistical analysis (quantitative analysis). The findings unfold potential areas where businesses, through eco‐labels, could transpire information and capitalise on this behavioural shift among consumers for green products. The study eventually offers eco‐labels as a viable green business strategy which clears the haze of ambiguity and make space to safeguard our environment.

This study critically reviews the psychological, social, economic, and contextual factors influencing green consumer behavior to develop an integrated framework for a better understanding of these influences. Despite extensive research on individual factors, such as environmental awareness and perceived consumer effectiveness, a gap remains in the literature regarding the integration of these elements into a comprehensive framework. By synthesizing existing academic studies, this review identifies key determinants shaping green purchasing decisions: psychological factors, such as environmental concern; social influences, including peer pressure and social norms; economic considerations, such as willingness to pay for eco-friendly products; and contextual factors, including green marketing strategies and product availability. These findings underscore the need for an integrated approach that considers how these factors interact, offering insights into how consumers are motivated to engage in sustainable consumption. This review provides valuable implications for marketers, policymakers, and environmental advocates seeking to promote green consumer behavior through effective strategies. The proposed integrated framework offers a foundation for further research in this area and contributes to the advancement of sustainable consumption practices. By addressing these gaps in understanding, this study provides a more comprehensive perspective on the multifaceted nature of green consumer behavior.

Objectives: To analyze how marketing techniques influence sustainable purchasing decisions and drive green consumerism. To understand the psychological, social, and economic factors that impact green consumer choices across different demographic groups.   Methods: Employing a mixed research approach that combines psychological analysis, social context, and economic factors to study consumer behavior. Using experimental testing methods to assess the effectiveness of marketing strategies in changing consumer perceptions of sustainability.   Results: Strategic marketing efforts can successfully boost environmental consciousness and influence consumers to make eco-friendly purchases. These changes in consumer behavior lead to sustainable shifts in purchasing habits, promoting environmental responsibility.   Conclusion: Marketing has significant potential to drive sustainable consumption and environmental responsibility. The study provides valuable insights into how tailored marketing strategies can transform consumer perceptions and encourage environmentally responsible behavior.

This study explores the role of consumer psychology in shaping responses to green advertising within the framework of Sustainable Development Goal 12: Responsible Consumption and Production. Green advertising, encompassing eco-labels, environmental claims, and sustainability-driven campaigns, seeks to influence consumer awareness, attitudes, and purchasing behavior toward environmentally responsible choices. However, the effectiveness of such advertising is deeply rooted in psychological factors such as values, beliefs, social norms, motivations, and perceptions of credibility. Theories like the Theory of Planned Behavior and Cognitive Dissonance highlight the importance of both rational evaluations and emotional connections in decision-making, while challenges such as greenwashing often undermine consumer trust. By examining how consumers cognitively and emotionally engage with green messages, this research emphasizes the potential of authentic and persuasive advertising to foster behavioral change, reduce skepticism, and encourage sustainable consumption practices aligned with SDG 12’s vision of ecological balance.

In response to escalating global environmental challenges and the growing prominence of eco-labeling as a market-based sustainability instrument, this research examines the psychology of culture to analyze the dynamics of eco-labels in international trade and their effects on consumer purchase intentions. Drawing on the Theory of Planned Behavior and Hofstede's cultural dimensions framework, we investigate how purchase decisions vary across cultures regarding eco-label attributes. Using structural equation modeling with data from 1,824 consumers across six culturally diverse countries (United States, Germany, Japan, South Korea, Brazil, and Netherlands), selected through stratified random sampling to maximize cultural diversity representation, we found significant cross-cultural differences in eco-label effectiveness mediated by environmental concern, perceived consumer effectiveness, and green trust. Collectivistic consumers responded more positively to eco-labels emphasizing community benefits, while individualistic consumers preferred personal benefit framing. Uncertainty avoidance moderated the relationship between eco-label credibility and consumer trust in third-party certifications, while long-term orientation influenced the effectiveness of comprehensibility cues. These findings advance sustainable marketing theory and provide actionable strategies for international marketers by demonstrating the importance of culturally-contextualized eco-labeling approaches. For policymakers and eco-label governance bodies, this research offers empirical evidence for developing culturally-sensitive certification frameworks that accommodate diverse consumer information processing styles while maintaining universal credibility standards. The cultural contingency framework developed provides foundations for optimizing eco-labeling policies across international markets, ultimately contributing to more effective sustainable consumption promotion across diverse cultural contexts.

As environmental concerns intensify globally, consumer behavior is undergoing a paradigm shift, particularly within rapidly digitizing economies like India. In this context, understanding and statistically modeling consumer preferences for eco-friendly digital products is both timely and essential. This study offers a data-driven approach to decoding sustainable consumption patterns, focusing on key behavioral and demographic indicators influencing green purchase intent. Drawing from structured survey responses of over 350 urban Indian consumers, the research employs a suite of advanced statistical tools-including multiple regression, principal component analysis (PCA), logistic regression, and chi-square tests-to examine correlations between sustainability-driven choices and variables like age-of-consumers, education-of-consumers, income, digital literacy with prior exposure to environmental campaigns. The analysis reveals that awareness of sustainability issues is significantly associated with behavioral outcomes like trust in eco-brands, willingness to pay a premium, and digital engagement with green content. PCA effectively distilled 14 observed behavioral metrics into three principal components, accounting for 78% of the variance in sustainable decision-making. These components reflect digital influence, socio-demographic consciousness, and psychological affinity toward sustainability. The study contributes a novel statistical modeling framework that bridges consumer psychology with sustainability science. Its interdisciplinary approach supports SDG-9 (industry-and-innovation), SDG-12 (responsible-consumption), and SDG-13 (climate-action), while offering practical insights for marketers, digital strategists, and policymakers. By harnessing empirical evidence, the research informs ESG-aligned and circular economy marketing strategies that resonate with India’s digitally active and environmentally conscious consumer base

This study focuses on a profound paradox in eco-hotel evaluations: why do consumer ratings for location, a static asset, exhibit dynamic fluctuations? To solve this puzzle, we construct a two-stage signal-processing theoretical framework that integrates Signaling Theory and the Elaboration Likelihood Model (ELM). This framework posits that the dynamic trajectory of a hotel’s green attributes (encompassing eco-facilities, sustainable practices, and ecological experiences) constitutes a high-fidelity market signal about its underlying quality. We utilized natural language processing techniques (Word2Vec and LSA) to conduct a longitudinal analysis of over 60,000 real consumer reviews from Booking.com between 2020 and 2023. This study confirms that continuous improvements in green attributes result in significant positive spillovers to location scores, while any degradation triggers strong negative spillovers. More critically, consumer environmental involvement (CEI) acts as an amplifier in this process, with high-involvement consumers reacting more intensely to both types of signals. The research further uncovers complex non-linear threshold characteristics in the spillover effect, subverting traditional linear management thinking. These findings not only provide a dynamic and psychologically deep theoretical explanation for sustainable consumption behavior but also offer forward-thinking practical implications for hoteliers on how to strategically manage dynamic signals to maximize brand value.

This study investigates the impact of green marketing orientation on Generation Z consumers’ behavior in sustainable fashion, focusing on the mediating roles of green brand awareness and psychological satisfaction. As environmental consciousness rises, Generation Z emerges as a pivotal segment with strong sustainable consumption values. A quantitative research method was applied using an online survey of 210 Gen Z respondents in Indonesia, the most of whom were female university students (19–23 years), familiar with sustainable fashion via digital platforms. Data were analyzed using Structural Equation Modeling (SEM) with SmartPLS. The results indicate that green marketing orientation significantly and positively influences both green brand awareness and psychological satisfaction. These two variables, in turn, have a significant positive effect on sustainable consumer behavior. Furthermore, both mediators fully mediate the relationship between green marketing orientation and Gen Z consumer behavior. these findings highlight the importance of emotional connection and brand perception in eco-conscious fashion consumption. This research contributes to the green marketing literature and offers practical insights for sustainable fashion brands in developing targeted strategies aligned with Gen Z's values and psychological motivations.

Type of the article: Research ArticleAbstractThis research explores the factors that contribute to green consumer behavior in an emerging market setting, highlighting the growing importance of sustainability-related consumption studies. The main objective of the study is to uncover how psychological and contextual elements combine to foster pro-environmental behavior among consumers in Tunisia. Utilizing an extended framework based on the Theory of Planned Behavior and key concepts from green consumer research, this study examines survey responses from 409 participants, collected through an online survey administered to Tunisian consumers active in online shopping communities during March and April 2025, and analyzes them using fuzzy-set Qualitative Comparative Analysis with the fsQCA 4.1 software. This method enables the discovery of various pathways leading to green consumer behavior, considering causal complexity and the possibility of multiple solutions. The results of this study show that consumer green behavior is achieved through five different configurations. Perceived behavioral control and trust in eco-labels are found to be core conditions across most solutions, while subjective norms are largely absent or irrelevant in most configurations. This research highlights the importance of using a configurational approach in studying sustainable behavior, as it captures the different pathways through which consumers engage in pro-environmental behavior via multiple causal mechanisms. These insights are relevant for practitioners and policymakers by guiding the design of differentiated strategies that reflect the diversity of pathways to green consumption.AcknowledgmentsNo funding or external support was received for the conduct of this research, and there are no specific acknowledgments to declare.

The universal effect of climate change on humanity is agonizingly evident. The adverse outcomes of climate change have significantly influenced individuals' perception of resource regeneration, a crucial aspect of the circular economy model. While circular economy practices encourage eco‐friendly consumption and waste mitigation, resource regeneration extends beyond harmonizing and reconciling the world's ecosystem to restoring natural processes that have been harmed or depleted by humans. This study investigates how green transformational leadership, psychological safety, and climate change anxiety (CCA) shape circular economy (CE) implementation and resource regeneration in Chinese organizations. Using survey data from 350 managers in the manufacturing, logistics, and energy sectors, we tested a dual‐pathway model in which sustainability knowledge sharing and digital innovation function as mediators. The results reveal that green leadership and psychological safety significantly enhance both knowledge sharing and digital innovation. Notably, CCA exhibits an inverted U‐shaped relationship with these outcomes, suggesting that moderate anxiety optimizes engagement, while excessive anxiety impedes progress. Perceived environmental resource scarcity amplifies the positive effects of knowledge sharing and innovation on circular economy behaviors and resource regeneration. These findings offer guidance for organizations and policymakers to foster regenerative business models that are both psychologically and technologically resilient. Businesses must cultivate green transformational leadership through sustainability training and integrate circular economy principles into strategies to encourage innovation. Policymakers should facilitate this transition by creating supportive regulatory frameworks, providing grants, raising awareness, and promoting collaboration to progress toward a circular economy.

Generation Z, a digitally native and environmentally conscious cohort, is increasingly recognized as a key driver of sustainable consumption, yet an intention–behaviour gap persists. This study investigates how AI-driven green nudges personalized, algorithmic cues promoting eco-friendly choices affect Gen Z consumers’ trust, attitudes, and sustainable purchase intentions in the Indian context. Drawing on the Stimulus–Organism–Response (SOR) framework and the Theory of Planned Behaviour (TPB), we develop and test a structural model wherein AI nudges act as stimuli that influence internal psychological states (trust and attitude), which in turn drive purchase intention. Data were collected from 300 urban Gen Z consumers through a vignette-based online survey and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). Results confirm that AI-driven nudges significantly enhance both trust in AI (β = 0.42, p < .001) and positive attitudes toward sustainable products (β = 0.28, p < .001). Trust further strengthens attitudes (β = 0.41, p < .001), while both trust (β = 0.19, p < .01) and attitude (β = 0.50, p < .001) predict purchase intention. Mediation analysis reveals full mediation, indicating that AI nudges influence purchase intentions only through trust and attitude. The model explains 59% of variance in sustainable purchase intention and 47% in attitudes, demonstrating moderate-to-high explanatory power. The study contributes to theory by integrating SOR and TPB while introducing trust in AI as a novel mediator in sustainability research. Practical implications highlight that transparent, personalized AI recommendations can narrow the green attitude behaviour gap, offering businesses and policymakers scalable pathways to foster sustainable consumption in emerging markets.

In recent years, increased environmental awareness has led consumers to adopt more eco-friendly lifestyles, including choosing green products to reduce their impact on the environment. With a particular focus on the green consumption behavior with regard to battery electric vehicles (BEVs) from two leading brands, Tesla (automotive) and Gogoro (scooter), in Taiwan, this study investigated the relationships among green perceived quality (GPQ), green perceived value (GPV), green brand image (GBI), green trust (GTR), and green purchase intention (GPI). After collecting 203 environmentally conscious respondents who are familiar with Tesla and Gogoro BEVs, the PLS-SEM was used to verify the research framework. The findings demonstrate that GPQ significantly impacts GBI and GPV; GBI significantly impacts GPV and GTR; and GPV significantly impacts GTR. As the key determinants of purchasing BEVs, GPQ, GBI, and GTR have significant effects on GPI, whereas the effect of GPV on GPI is not significant. In addition, this study also explored the moderation effect on green purchase behavior, revealing that the brand-specific cognition of Tesla and Gogoro moderates the relationships between green attributes (such as GPQ, GBI, and GTR) and GPI. This study contributes a more comprehensive understanding of the psychological and behavioral drivers behind green consumption behavior within the context of BEVs. This study not only sheds light on consumer behavior within dual-market dynamics in Taiwan but also offers a framework for other markets with similar environmental and infrastructural challenges. These insights can assist BEV companies to develop their sustainable marketing strategies, emphasizing the importance of developing a strong green brand image and green trust to boost BEV sales from the perspective of green perceived quality.

This study investigates the factors influencing consumer acceptance of eco-friendly products in Pakistan, using consumer behavior theory as a conceptual framework. By applying a qualitative research design, in-depth interviews were conducted with 18 participants to uncover the underlying psychological, social, and situational factors that drive or hinder sustainable consumption. The study finds that environmental awareness, attitudinal beliefs, and social norms significantly shape consumer intentions, while behavioral control barriers such as high product costs, limited accessibility, and inconvenience remain the primary inhibitors. Notably, social influence from reference groups, including family and peers, was identified as a powerful force, with younger, urban consumers showing greater eco-friendly preferences due to social pressure and media exposure. Perceived behavioral control—influenced by affordability, convenience, and availability—emerged as a critical determinant of consumer behavior. The findings reveal that while consumers express positive attitudes towards green products, practical challenges prevent the widespread adoption of eco-friendly alternatives. This research contributes to the literature by offering novel insights into the unique contextual factors influencing green consumer behavior in a developing country like Pakistan. It emphasizes the importance of tailored marketing strategies and policy interventions to address barriers and promote sustainable consumption. For marketers and policymakers, the study suggests that addressing cost concerns, improving product availability, and fostering trust in environmental claims can facilitate the adoption of eco-friendly products. Future research could explore the longitudinal impact of such interventions.

The increasing environmental challenges have heightened the need for sustainable consumer behavior, making it essential to understand the psychological and behavioral factors that drive green purchasing decisions. This study explores the interrelationship between environmental concerns, expectations of green products, awareness of consequences, ascription of responsibility, personal norms, attitude, and purchase intention toward eco-friendly products. A survey was conducted among consumers aged (above 18 years and Generation Z) and well-educated consumers (higher education) to assess their attitudes to green image, green value, and purchase intention. Descriptive research design and primary research using a structured questionnaire were directed to management students. A total of 273 valid responses were collected. The analysis using PLS-SEM was executed to empirically test the model. The study employs a quantitative approach, analyzing data from a diverse sample to assess the impact of these factors on green purchasing behavior. Findings reveal that environmental concern and awareness of consequences significantly influence personal norms and attitudes, which, in turn, mediate purchase intention. The results provide valuable insights for policymakers, marketers, and businesses aiming to promote sustainable products and encourage responsible consumption. This study contributes to the growing body of literature on green consumer behavior and offers practical recommendations for fostering environmental sustainability in the marketplace.

The escalating climate emergency and prevailing patterns of unsustainable consumption necessitate a fundamental shift toward mindful consumption—defined by ethical awareness, deliberate decision-making, and sustained commitment to ecological and social well-being. This conceptual study explores how marketing can evolve from a traditional persuasive function into a strategic tool for fostering pro-social and pro-ecological behavior. By integrating insights from sustainability marketing, consumer behavior research, and behavioral science, the study proposes a structured framework for guiding mindful consumption through targeted marketing interventions. The proposed model identifies key marketing levers—such as eco-conscious branding, values-based consumer education, behaviorally informed digital engagement, and strategic messaging—designed to influence psychological mediators, including environmental awareness, perceived behavioral control, and the alignment of consumer identity with sustainability values. These mediators are theorized to lead to tangible behavioral outcomes, such as reduced waste, increased adoption of sustainable products, and long-term shifts in consumption patterns aligned with responsible lifestyle choices. This framework is aligned with the objectives of the United Nations Sustainable Development Goals (SDGs), particularly SDG 12 (Responsible Consumption and Production), and contributes to the ongoing discourse on sustainability-driven marketing practices. It underscores the role of marketers in designing systems and campaigns that not only shape consumer preferences but also strengthen intrinsic motivation toward sustainable behavior. Furthermore, it accounts for the influence of digital platforms in reinforcing social norms, enabling peer-based validation, and promoting consistent, value-driven actions. This study offers actionable guidance for marketing practitioners and policymakers seeking to support consumer transitions toward sustainability. By positioning marketing as a strategic tool for ethical influence and societal value creation, this work highlights its transformative potential in reshaping consumption patterns to align with long-term environmental and social goals.

Loyalty programmes (LPs, thereafter) can restrict customers' actions where they require customers to undertake specific activities (i.e., LP efforts) to collect reward points. As a consequence, these activities inevitably limit customers' future consumption freedom. The customer's consumption freedom may be even more restricted by green loyalty programmes (GLPs, thereafter), given the pro‐environmental goals of such programmes. However, in order to attract customers to join a GLP, they may be offered rewards that are non‐eco‐friendly alongside eco‐friendly ones. If customers choose non‐eco‐friendly rewards, then this can defeat the pro‐environmental objective of offering GLPs to customers. This study focuses on the effect of individual differences in trait reactance on reward preferences in GLPs that has been overlooked in LP literature. Through one experimental study and three scenario‐based online surveys, we find that customers with high (vs low) trait reactance are more likely to choose the non‐eco‐friendly rewards. However, when customers are primed with the pro‐environmental goal, they choose eco‐friendly instead of non‐eco‐friendly rewards. Interestingly, we find that this effect is stronger for those who score highly on trait reactance. Our research advances the understanding of LPs and psychological reactance theory, highlighting the broader implications of studying reactance in managing customers' preferences for GLP rewards. We explore how high‐reactant LP members, when their pro‐environmental goals are salient, respond positively to offerings by preferring eco‐friendly rewards. This demonstrates the superiority of the goal‐reward congruity hypothesis over the effort‐reward congruity hypothesis, enriching previous studies on goals and pro‐environmental behaviour. Moreover, the insights gained from this study have practical implications for designing effective reward schemes that promote pro‐environmental behaviours.

Growing concerns about environmental issues have increasingly influenced consumer decision-making, particularly in relation to the adoption of environmentally friendly products. The urgency of sustainability and the demand for eco-friendly alternatives underscore the need to understand the drivers of green consumption better. This study aims to investigate how environmental concern, perceived effectiveness of green products, and subjective norms influence consumer attitudes and intentions to use green products. A quantitative survey was conducted with 366 university students in Bandung, Indonesia. The data were analyzed using a structural equation modeling approach to assess the relationships between variables and to validate the measurement model. The results reveal that environmental concern and subjective norms have a significant influence on perceptions of green product effectiveness, which in turn shape consumer attitudes and behavioral intentions toward the use of green products. These findings demonstrate that social influence and personal environmental awareness play a crucial role in strengthening positive attitudes toward eco-friendly behavior. The study contributes by providing evidence from a student population in an emerging market context, offering unique insights into the psychological and social mechanisms underlying sustainable consumption. From a practical perspective, the results suggest that policymakers, educators, and marketers can promote the adoption of green products by emphasizing their functional effectiveness and leveraging social norms to reinforce sustainable behavior. Nevertheless, the study acknowledges limitations, including the specific demographic focus on university students, the cross-sectional nature of the data, and the exclusion of economic factors such as price and availability. Future research is recommended to incorporate these dimensions and apply longitudinal designs for a more comprehensive understanding of consumer behavior toward green products.

This study investigates the factors influencing the adoption of green products among young adult consumers in Mauritius, with a specific focus on the roles of personal innovativeness, social influence, and attitude. Set within the broader context of green marketing strategies, the research aims to study the psychological and social mechanisms that shape eco-conscious consumer behavior in a developing island economy. Drawing upon structural equation modeling and data collected from 201 respondents, the study evaluates both direct and indirect effects among key constructs. The findings reveal that social influence significantly and positively impacts both consumer attitudes and the adoption of green products, while attitude itself emerges as a strong predictor of adoption. In contrast, personal innovativeness demonstrates a surprising negative relationship with both attitude and adoption, suggesting that innovative consumers may be more critical of existing green marketing efforts. The model exhibited a good overall fit, explaining over 65% of the variance in adoption. These results highlight the importance of credible, socially-driven marketing strategies that engage peer networks and build favorable consumer attitudes, while also pointing to the need for more sophisticated and trustworthy green product innovations to appeal to more discerning, innovative consumers. The study offers practical recommendations for marketers and policymakers aiming to strengthen sustainable consumption among youth in Mauritius.

Needs are an abstract concept that exists in human life and serves as the fundamental motivation for many decisions. These needs include emotional, psychological, abstract, and concrete choices that influence human behavior. This study aims to examine the moderating role of Maslow's hierarchy of needs, specifically focusing on the impact of safety needs on consumer behavior. The research explores the relationship between consumer attitudes toward eco-conscious dining venues and their purchase intentions. A questionnaire-based approach was employed to collect data from green restaurant consumers in Türkiye. The target population consists of individuals who frequently dine in environmentally friendly restaurants. Structural equation modeling analysis was conducted on data collected from 450 participants. The analysis was performed using the Smart PLS 4 program to test the proposed relationships. Results indicate that the independent variable, Attitude Toward Green Restaurants, has a positive and significant effect on the dependent variable, Consumption Intention. The study further investigates Maslow's theory of human motivation and its role in consumer decision-making. Among the various dimensions of Maslow’s hierarchy, only the need for safety/security demonstrated a moderating effect. This finding suggests that safety concerns play an intervening role in consumer decisions related to green dining. Consumers are more likely to dine at eco-conscious restaurants when they feel secure. The results emphasize the importance of safety considerations in shaping purchase behavior. Businesses should address these concerns to enhance customer trust and engagement. Understanding these factors can help marketers develop better strategies for promoting sustainable dining. By acknowledging the moderating role of safety needs, businesses can improve customer retention. The study contributes to the existing literature on sustainable consumption and consumer psychology. It also highlights the significance of integrating psychological needs into marketing strategies. Future research could explore other dimensions of Maslow's hierarchy in similar contexts. The findings offer valuable insights for restaurant managers and policymakers. Addressing safety concerns could lead to higher consumer engagement and loyalty.

This research explores the influence of green awareness and green attitude on consumers’ intention to purchase green cosmetics in Indonesia. With increasing environmental concerns, understanding the psychological drivers behind eco-friendly product choices is vital, especially in developing markets. The study aims to examine how consumers’ environmental consciousness shapes their attitudes and subsequently affects their intention to buy green cosmetic products. A quantitative method was utilized, involving the distribution of structured questionnaires to individuals familiar with green cosmetics. The data were analyzed using Structural Equation Modeling (SEM). The results confirmed all hypotheses, showing that green awareness significantly influences both green attitude and purchase intention. Additionally, green attitude has a strong positive effect on green purchase intention. These findings underscore the importance of raising consumer awareness and cultivating positive attitudes to promote sustainable purchasing behavior. The study provides practical implications for businesses and policymakers striving to advance environmentally responsible consumption in Indonesia’s cosmetic sector.

PurposeThis study investigates the roots of consumer skepticism toward eco-labels in Croatia, a market increasingly shaped by greenwashing and regulatory frailty. Grounded in the theory of planned behavior and signaling theory, it analyzes the psychological and communicative mechanisms that underpin trust in sustainability labeling.Design/methodology/approachA survey of 252 Croatian consumers was conducted using regression analysis. Data were collected via the tablet-assisted intercept method in five stores. The questionnaire had 13 Likert items, demographics and one open-ended question. A pilot test preceded fieldwork. In-store context allowed for real-time consumer insight.FindingsFour determinants – eco-label visibility, institutional support, credibility of labels and consumer knowledge – emerged as significant predictors of purchase intention. The findings imply that standardized visual placement and transparent messaging are pivotal in reducing skepticism, bolstering trust and fostering environmentally responsible purchasing behavior.Research limitations/implicationsThe study covers one country with a limited sample, mostly younger consumers. It uses a survey, so it does not capture deeper attitudes. Future work should add qualitative methods, include older age groups and compare with other countries in similar transitions.Practical implicationsPolicy suggestions include standardized label placement, better consumer education and digital tools for transparency. Retailers should support eco-labels through loyalty programs and in-store efforts to strengthen trust and encourage sustainable choices.Social implicationsConsumers’ skepticism toward eco-labels influences daily decisions and sustainability. Trustworthy labels encourage greener habits, inspire others and make sustainable consumption a general norm. Over time, this change strengthens environmental responsibility in communities.Originality/valueThe study extends the TPB by including eco-label visibility and institutional trust, offering insights into transitional EU markets where regulation and label consistency matter more than social influence or design.

In today's marketing landscape, consumer demand for eco-friendly products is on the rise, yet the psychological factors that encourage green purchasing intentions remain unclear. To address this research gap, the current study builds on Social Identity Theory to explore the role of social influence and sustainability consciousness in shaping customers' green purchase intentions. Data were collected through a survey of 406 customers at Saudi Arabian upscale restaurants and analyzed using structural equation modeling. The findings reveal that social influence positively impacts both sustainability consciousness and green purchase intentions. Besides, the study identifies sustainability consciousness as a critical mediator in this relationship, emphasizing the importance of intrinsic motivations in driving environmentally responsible behavior. Additionally, gender differences were also examined, revealing that women are more responsive to social influences regarding sustainability consciousness and green purchase intentions. This study enriches the literature by providing a robust framework to understand the collective social processes influencing green consumption. Practically, the research offers actionable insights for managers to develop targeted marketing campaigns, leverage social influencers, and utilize technology to enhance transparency and trust in sustainable practices. This study not only bridges literature gaps but also provides a foundation for promoting green consumption patterns essential for addressing global environmental challenges.

This study examines digital sustainability signals and the psychological mechanisms (authenticity and trust) that relate to consumers’ sustainable food purchase intentions. While the attitude–behavior gap remains a persistent challenge in sustainability research, our study focuses on upstream factors that may help explain why intentions vary in strength. Drawing on signaling theory, this research develops and tests a framework that combines positive signals (e.g., influencer credibility) and negative signals (e.g., perceived greenwashing) to investigate the impact on green brand authenticity, brand trust, and purchase intention. Data were gathered from a survey of 324 adult social media users who follow influencers with a focus on sustainability and have recent experience buying eco-labeled food products. Using PLS-SEM, results indicate that influencer credibility has a significant and positive effect on perceptions of green brand authenticity, whereas the influence of greenwashing has a significant and negative effect. Authenticity shows a strong prediction of brand trust, and this in turn predicts green purchase intentions with trust mediating the authenticity–intention relationship to some degree. The results indicate authenticity as a key mechanism by which digital signals affect sustainable consumption. The research provides practical insights for food brands seeking to strengthen the psychological conditions that support sustainable consumption intentions.

Green food serves as a bridge connecting healthy lifestyles with environmental values, particularly in the context of sustainable consumption transitions. However, existing research lacks a systematic understanding of how consumers negotiate cognitive evaluations and emotional responses when forming green food purchase intentions. This study addresses that gap by exploring the cognitive–affective negotiation process underlying consumers’ green food choices. Based on 26 semi-structured interviews with Chinese consumers across diverse socio-economic backgrounds, the grounded theory methodology was employed to inductively construct a conceptual model. The coding process achieved theoretical saturation, while sentiment analysis was integrated to trace the emotional valence of key behavioral drivers. Findings reveal that external factors—including price sensitivity, label ambiguity, access limitations, social influence, and health beliefs—shape behavioral intentions indirectly through three core affective mediators: green trust, perceived value, and lifestyle congruence. These internal constructs translate contextual stimuli into evaluative and motivational responses, highlighting the dynamic interplay between rational judgments and symbolic–emotional interpretations. Sentiment analysis confirmed that emotional trust and psychological reassurance are pivotal in facilitating consumption intention, while price concerns and skepticism act as affective inhibitors. The proposed model extends the Theory of Planned Behavior by embedding affective mediation pathways and structural constraint dynamics, offering a more context-sensitive framework for understanding sustainable consumption behaviors. Given China’s certification-centered trust environment, these findings underscore the cultural specificity of institutional trust mechanisms, with implications for adapting the model in different market contexts. Practically, this study offers actionable insights for policymakers and marketers to enhance eco-label transparency, reduce structural barriers, and design emotionally resonant brand narratives that align with consumers’ identity aspirations.

This study investigates the factors influencing green buying intentions among consumers in Pakistan, with a focus on the relationships among attitudes, subjective norms, perceived behavioral control, perceived value, and willingness to pay for premium green products. Employing a quantitative methodology through an online survey of 250 participants. The results indicate that all examined variables significantly impact consumers' intention to purchase green products. Specifically, positive attitudes and subjective norms were found to have a profound influence on green buying intentions, underpinning the relevance of the Theory of Planned Behavior. Furthermore, perceived value and willingness to pay were crucial in determining the premium consumers are willing to invest in sustainable products. These findings offer practical implications for marketers and policymakers in crafting effective strategies to promote sustainable consumption. They also provide a theoretical enhancement to existing literature by elucidating the psychological mechanisms driving eco-friendly purchasing behaviors in emerging markets.

The global shift toward environmental sustainability has amplified interest in bioplastics as eco-friendly alternatives to conventional plastics. However, consumer adoption remains relatively limited, particularly in emerging economies. This study examines the psychological and value-based factors that influence consumers’ intentions to purchase bioplastic products. Drawing on the theory of consumption values, this study examines the roles of green self-image, self-congruity, environmental consciousness, and perceived value in shaping consumers’ purchase intentions. Structural equation modelling via IBM AMOS was used to analyse responses from 214 Malaysian participants. The results indicate that environmental consciousness and perceived value significantly predict consumers’ intention to purchase bioplastics, whereas green self-image and self-congruity do not exhibit a significant effect. The model explains 68% of the variance in purchase intention, highlighting the central role of psychological factors in shaping consumers’ sustainable consumption behaviour. This study contributes to the literature by offering a consumer-centric perspective on bioplastic adoption and provides actionable insights for policymakers and marketers seeking to promote sustainable consumption models aligned with global environmental goals.

The increasing rate of climate change and the exhaustion of natural resources have caused sustainability to be of paramount importance across the globe. The transportation industry is one of the most important sectors that impacts the environment through greenhouse gas emissions and other pollutants produced by traditional vehicles. In response to these environmental problems, there has been an increased effort to promote green transportation alternatives such as electric vehicles and carpooling, which can help mitigate the adverse effects of commuting and travel. Previous literature has demonstrated that the intention of individuals to engage in green behaviors is affected by various factors, such as their personal motivation to create a positive change in their environment. However, the green behavior of different segments of the population needs to be further scrutinized to comprehend its prevalence and the resulting consequences. This paper aimed to understand the effect of green intrinsic motivation on ecological automobile use and the mediating role of green self-efficacy among middle-aged individuals using the theory of planned behavior. Findings show that green intrinsic motivation has a positive relationship with and predicts ecological automobile use among middle-aged individuals. Green self-efficacy mediates the relationship between green intrinsic motivation and ecological automobile use. Through discovering the psychological dynamics of establishing eco-friendly transport habits among this group, this study aims to provide effective solutions to design interventions and policies that would encourage green travel behavior. This understanding has significance for policymakers, who can use the findings of the study to frame interventions and policies promoting eco-friendly transportation alternatives.

This study investigates the determinants influencing Thai Millennials’ decisions to purchase green products, with particular attention to the roles of social media advertising exposure, perceived brand value, brand credibility, and brand trust. A quantitative survey was conducted among 400 respondents aged 24–41, all of whom had purchased at least one green product in the previous year. Data were analyzed using descriptive statistics and multiple regression analysis (MRA) at a 0.05 significance level. The results indicated that social media advertising exposure was rated relatively high (M = 3.98, SD = 0.72); however, it did not significantly predict perceived brand value (H1: β = 0.670, p > 0.05), brand credibility (H2: β = 0.760, p > 0.05), or brand trust (H3: β = 0.811, p > 0.05). These findings suggest that frequent exposure to digital advertising alone does not significantly shape core brand perceptions among Thai Millennials. In contrast, perceived brand value (H4a: β = 0.282, t = 6.425, p < 0.001), brand credibility (H4b: β = 0.288, t = 5.050, p < 0.001), and brand trust (H4c: β = 0.355, t = 6.898, p < 0.001) were found to significantly and positively influence green product purchase decisions. The regression model demonstrated strong explanatory power, accounting for 74.9% of the variance (R² = 0.749, Adjusted R² = 0.747, F(3, 396) = 398.87, p < 0.001). These findings underscore that psychological brand perceptions—rather than advertising exposure—are the key drivers of environmentally responsible consumer behavior. For marketers aiming to promote sustainable consumption, the study highlights the importance of trust-based and value-driven communication strategies. Aligning brand narratives with Millennials’ environmental values may enhance brand loyalty and encourage the long-term adoption of eco-friendly products.

Over the last decade, consumption of goods and services has significantly increased globally, resulting in the depletion of natural resources and environmental deterioration. As consumers significantly influence environmental damage, they may also mitigate it by opting for products that are sustainable. As such, more customers are becoming aware of the importance of environmental protection, recognising the harmful effects of everyday products and consumption habits on the environment. Examining the sustainable buying behaviour of the younger generation is crucial, since they embody the future customers, employees, and entrepreneurs of the present time. In Nigeria, 45.46% of the total population constitute the youth making them the most important demographic group in the country. This study which aims at assessing the impact of environmental knowledge and attitude on sustainable consumption behaviours of youth in Ogbomoso sampled 240 youths in the city using random sampling. The study made use of both descriptive and inferential statistics to analyse the quantitative data and test the research hypothesis for the study. A growing positive attitude for environmental protection was discovered as the majority believes their actions can make a difference in addressing environmental issues. This reality has altered the youth consumption patterns as they often purchase goods/products labeled as environmentally friendly, sustainable or green. On the contrary, this study found that the relationship between environmental knowledge and attitudes and sustainable consumption behaviour of youth in Ogbomoso is weak and does not significantly predict sustainable consumption behaviour. This study recommends policy intervention and provision of practical incentives for production and consumption of sustainable products.

One can define sustainable consumption as the act of procuring services or products that satisfy the requirements of individuals while simultaneously reducing the impact on the environment, which has become increasingly important in addressing global challenges like climate change and resource depletion. The present study explores the factors influencing sustainable consumption, focusing on social, economic, psychological, policy, and business strategy aspects. By reviewing research surveys, results of regression analysis, and case studies, this paper reveals that social norms, income levels, environmental awareness, government policies, and green marketing strategies significantly impact consumers sustainable consumption behaviors. The findings of the study emphasize that sustainable consumption can only be effectively promoted if multifaceted influences are considered in an integrated manner and several sustainable strategies involving all stakeholders are put in place. Ultimately, this investigation renders useful awareness for the benefit of consumers, companies, and policymakers who are interested in enhancing their practices regarding sustainability.

Purpose With the rise in global consumption depleting natural resources and harming the environment, promoting sustainable consumption is essential. Our study explores how green self-accountability affects sustainable purchasing over different time frames, examining the impact on short (one week) and long-term (one year) choices toward green products and the underlying mechanisms. Methods We conducted two experiments where participants made green purchasing decisions, with the first activating green self-accountability and the second also measuring anticipated emotional responses. Results Findings show that green self-accountability boosts sustainable purchasing, particularly for immediate choices, driven by anticipated pride in buying green products. Conclusion Green self-accountability significantly enhances sustainable purchasing, aided by anticipated pride. This suggests that marketing strategies emphasizing environmental urgency and consumers’ eco-unfriendly behaviors can foster sustainable consumer habits.

A pivotal assumption of neoclassical economics is that both companies and consumers aim at optimizing self-interests. While the former seek to maximize profits, the latter pursue maximizing utility, satisfaction, and happiness. Consumers (can) derive utility and happiness from consumption, whose scale and scope is a function of their standard of living, among other things. Whether these tenets can and should be countered by anti-consumption, de-growth, and sufficiency is a higher-level discussion and out of scope of this paper. Instead, I adopt an advocacy perspective propagating to optimize the status quo by leveraging AI in marketing to gradually approach sustainable consumption. Marketing claims to help consumers by satisfying wants and needs, but an endless quest for satisfying wants and needs can further fuel consumption, which in turn, depletes resources, adversely impacts the environment, and drives climate change. As companies and marketers increasingly acknowledge the need to pursue the transition to sustainable business and marketing practices (White et al. 2019), so we as consumers shape companies’ environmental agendas by demanding sustainable products and services. In light of the environmental imperative and the stance of sustainable development, artificial intelligence (AI) in marketing is a double-edged sword. On the one hand, AI applications and systems in marketing—in essence—pursue sales’ objectives and increase consumption and its (negative) externalities. For instance, Amazon—whose e-commerce platform relies on AI-driven recommender systems and collaborative filtering—had a relative carbon footprint of 122.8 g of CO2 equivalents per dollar of gross merchandise sales in 2019 (Amazon 2020). Given Amazon’s multi-billion sales volume, the carbon footprint of the world’s largest e-commerce company alone equals dozens of tons of CO2 emissions annually. Moreover, energy consumption and emissions related to AI development, production, and deployment induce adverse rebound effects. On the other hand, AI in marketing can be a powerful force in promoting supplyand demand-side sustainability efforts. Correspondingly, AI’s potential to foster sustainability in marketing should be leveraged across the four Ps of the marketing mix including product, price, place (distribution), and promotion (communication). First, AI can inform product and service design and development processes (i.e., product) by identifying or anticipating sustainable product/service attributes that are valued most by consumers. Second, AI-enabled income prediction from digital footprints can contribute to personalize prices (i.e., price) based on consumers’ potential willingness to pay for environmentally sustainable offerings. Third, AI can bring together sustainable products and services and consumer segments being best suitable for such offerings (i.e., place and promotion). Since particularly psychological factors can strengthen or inhibit consumers’ sustainable consumption intentions and behavior, AI can segment and target consumers according to their (psychological) predisposition to sustainable offerings (i.e., psychological targeting). Thereby, marketers can streamline distribution and promotion strategies by means of online, mobile, and instore psychological targeting. However, that should not be a short-term strategy merely and exclusively driven by sales objectives. Instead, marketers should harness AI applications to empower individuals to “consume better but less” (Wiedmann et al. 2020, p. 4). That is, AI in marketing should support us in making better (informed) and more sustainable decisions. Given that marketing and consumption are part of billions of consumers’ everyday lives, even small individual (consumer) behavioral changes can take substantial aggregate effects. Particularly, the various psychological barriers to more sustainability—the “dragons of inaction” (Gifford 2011, p. 290)—should be lowered by marketers while accounting for consumers’ autonomy and self-determination. * Erik Hermann hermann@ihp-microelectronics.com

Modern society is facing a multitude of challenges and environmental problems related to excessive consumption and extensive utilization, or even depletion, of natural resources caused by various industries. These issues are compounded by the fashion businesses selling attractive, trendy, mass-produced cheap clothes, while exploiting labour force with unsatisfactory working conditions. The objective of this study was to examine generational differences in environmental concerns of females related to sustainable clothing and differences in their actual purchases. A questionnaire survey was conducted for a sample of 1796 female respondents from 4 countries: Slovakia (428), Czechia (423), Slovenia (518), and Lithuania (427). Kruskal-Wallis tests were used for data processing. The findings reveal significant differences in concern for the well-being of clothing factory workers, animal species, future generations, and for the environment across the generational cohorts. Overall, younger generations, especially Gen Z and Gen Y, exhibit higher levels of concern for the well-being of clothing factory workers, animal species, and for the environment compared to Baby Boomers. Gen X demonstrates higher levels of concern for the well-being of future generations and environmental issues. Notably, Gen Z shows the lowest levels of engagement across all categories, suggesting a gap between attitudes and actual behaviour. Limitations of the study are discussed, and future research directions are noted.

Sustainable packaging for packaged staple foods is no longer just a trend; it is an urgent necessity in the face of environmental challenges like pollution, resource depletion, and climate change. Despite growing awareness, a noticeable gap exists between consumers’ environmental concerns and purchasing behaviour. This research analyses the psychological, product-specific, and external factors influencing customers’ decisions about eco-friendly packaging. The study considers a sample of 22 to 30-year-olds and employs structured questionnaires, the Weighted Average Method and the Garrett Ranking Method. The findings reveal that an individual’s actions can make a difference in the environment, the strongest psychological driver influencing sustainable choices. There is a higher probability that consumers who are environmentally concerned and those who view advertisements about sustainability would select sustainable packaging. Product-specific characteristics, such as eco-friendly labelling and recognised certifications, impact purchasing decisions and buyers’ psychological states. Distrust in the sustainability commitments brands make continues to be a significant barrier. Restrictions imposed by the government have the most considerable influence, followed by efforts made by corporations to promote sustainability. This study explains the key factors driving sustainable packaging choices to bridge the attitude-behaviour gap in green consumption.

Soft natural values are often neglected in planning. One approach has been to aim for a balance of natural resources. However, balancing is no longer sufficient, as global consumption continues to deplete resources, reduce biodiversity, and drive severe climate crises. Instead, every project must actively contribute to improvements. But how can we expect property owners to deliver environmental qualities that exceed previous standards? Achieving this requires economic incentives—a win-win for all stakeholders, from developers to tenants, employees, municipalities, and even nations. Our approach summarizes research findings from the past half-decade on how natural qualities meet fundamental human needs for mental well-being and health. Two resources have been particularly valuable: the Alnarp Rehabilitation Garden and a large Public Health Survey of the Scania Region in southern Sweden, which enabled validation of eight specific sensory dimensions. One key finding is that university productivity is significantly associated with tree cover near campus buildings and with the density of sensory dimensions across an entire campus. These scientific insights led to the development of an assessment protocol for restorative workplaces. A group of property owners and tenant companies formed a mutual partnership for a testbed of an evaluation protocol. Practical implications now show that the tool effectively supports improvements. When stakeholders and staff discuss evaluation questions together, they gain a deeper understanding of how specific characteristics meet specific needs. Achieving social, ecological, and economic goals while improving one’s workplace proves highly motivating for all involved.

Laboratory experiments have indicated that exposure to restorative ambiences in food environments can lead to beneficial outcomes for consumers, but there is little evidence if this positive effect holds true in real-life consumption conditions. Therefore, the aim of this study was to analyze the effects of lunch restaurant ambience on customers’ emotional responses, stress recovery, food choices, and generation of plate waste. The expectation was that ambience inducing positive emotional responses would lead to alleviated stress, healthier food choices, and reduced plate waste. A field experiment with a baseline and two experimental ambiences (‘nature ambience’ to induce positive emotions and ‘fast food ambience’ to induce less positive emotions) including visual and auditory stimuli was conducted in a lunch restaurant for one week per ambience. Emotional responses, and objective and subjective stress were measured from a subgroup of participants (n = 32). Food choices and plate waste were measured for all customers (n = 1610–1805 depending on the study week). During ‘nature ambience’ week, customers more often chose vegetarian dishes and generated less plate waste. The results on emotional responses and stress recovery were partially in line with the expectations. The study provides real-life evidence that restaurant ambience modification could lead to beneficial consequences for customers.

Sustainable innovation represents both a strategic priority and survival imperative for small- and medium-sized enterprises in resource-constrained economies. While digital transformation offers potential solutions, the synergistic effects of digital leadership, employee behaviors, and emerging technologies remain poorly understood. This study bridges this gap by developing and testing a behavioral-tech leadership framework grounded in the Job Demands-Resources (JD-R) model and Technology Acceptance Model. Analyzing survey data from 400 Iraqi SME employees using partial least squares structural equation modeling, we demonstrate that digital leadership directly enhances sustainable innovation while reducing counterproductive cyberloafing. Crucially, social cyberloafing, when properly managed, emerges as a positive mediator, improving employee well-being and creativity, particularly among mid-career and educated workers. Artificial Intelligence’s integration further amplifies these effects by optimizing operational efficiency and reducing human-resource strain. These findings challenge conventional perspectives by repositioning cyberloafing as a conditional resource within the JD-R framework and provide actionable insights for achieving sustainable innovation even in challenging environments. Practical implications include gender-inclusive digital leadership programs, ethical AI implementation guidelines and restorative cyberloafing policies. The study contributes to United Nations Sustainable Development Goals 8 (decent work), 9 (industry innovation) and 12 (responsible consumption) while highlighting the transformative potential of human-centric digital strategies in resource-constrained contexts.

The rapid expansion of digital technology has reshaped how individuals interact, work, and participate in economic activities, with Generation Z positioned at the center of this transformation. Growing up in a fully digital environment, this generation demonstrates distinctive behavioral patterns that influence shifts in consumption, entrepreneurship, and digital work practices. This study aims to explain how Generation Z contributes to the transformation of economic activities in the digital era and to identify the challenges they encounter. Using a descriptive qualitative approach supported by questionnaires distributed to 100 respondents and a review of relevant literature, this study examines their digital consumption behavior, use of online platforms for entrepreneurship, and engagement in technology-based economic opportunities. The findings show that Generation Z plays a significant role in driving the modernization of economic activities through the intensive use of e-commerce, digital payments, fintech services, and creative activities on social media. They increasingly engage in content creation, online selling, and personal branding as alternative economic pathways. However, the study also highlights several challenges, including uneven advanced digital literacy, impulsive online spending, mental health pressures associated with constant digital exposure, and the need for continuous skill adaptation in response to automation and artificial intelligence. These findings emphasize the importance of strengthening digital literacy, entrepreneurship skills, financial awareness, and mental well-being to support their sustainable contribution to the digital economy.

Since the outbreak of the epidemic, the environment education and the education of sustainable development became the mainfocus once again. It is because some citizens lack consciousness of ecological civilization and sustainable development, caused environmental pollution, indiscriminate killing of wild animals, destruction of social public health, injury and sacrifice of people’s physical and mental health, disturbance of urban and rural social life order, etc. The outbreak of the novel coronavirus pneumonia undoubtedly confirmed the urgency of strengthening the global citizens’ education for sustainable development. This serious epidemic related to the sale and consumption of wild animals is a wake-up call again. It is necessary to reexamine the relationship between man and nature and the way of human behavior. Education is the key factor for the implementation of sustainable development. Good health and well-being, and quality education are the third and fourth goal for sustainable development proposed by the United Nations. Through content analysis and case analysis, this paper indicated that teachers’ educational ability for sustainable development is a professional ability that higher education institutes should apply education for sustainable development as a means to strengthen the environmental education. Teachers identify with the concept of sustainable development education and are willing to practice the values of sustainable development in life and educational activities.

No abstract available

To achieve the sustainable development goals and in response to the green development policies, many enterprises have actively incorporated corporate social responsibility (CSR) into their strategic plans in order to enhance environmental sustainability. This study explores the cognitive and emotional pathways through which perceived environmental CSR (PECSR) influences pro-environmental behavior (PEB) among employees in China’s marine enterprises, based on the Cognitive-Affective Personality System theory. The research was conducted through data collection and verified through the structural equation model. PECSR is significantly and positively associated with PEB, mediated by meaningful work and connectedness to nature, with a green psychological climate further supporting this relationship. Results highlight PECSR as a critical factor in CSR effectiveness. When planning sustainability strategies, enterprises should consider the significant impact of PECSR on employee behavior to foster environmentally responsible practices.

In the digital economy era, leveraging digital media to foster tourists’ pro-environmental behavioral intention (TPEBI) has become crucial in the field of sustainable tourism. While existing studies have mainly focused on the driving mechanism of TPEBI within physical tourism contexts, the correlation between digital media information sharing and TPEBI remains unclear. Our study employs the cognitive-affective-conative framework to construct a theoretical model, considering eco-guilt and empathy with nature as mediating variables. It aims to explore the influencing mechanism of destination environmental information sharing through digital media on TPEBI from a presence perspective. Thereby, two scenario experiments were designed: Study 1 examined the impact of different formats of destination environmental threat information presentation on digital media on the sense of presence, while Study 2 explored the influencing mechanism of presence on TPEBI based on the conclusions of Study 1. Results indicate that (1) vivid and visible presentation formats of destination environmental threat information on digital media enhance individuals’ sense of presence; (2) sense of presence positively influences TPEBI; and (3) eco-guilt and empathy with nature mediate between presence and TPEBI. These findings not only contribute to theoretical and empirical research on digital media information sharing in sustainable tourism but also offer guidance for governments and tourism destinations to effectively stimulate TPEBI through digital media, achieve the sustainable development of destinations.

Forest-based tourism is widely recognized as a sustainable form of nature-based tourism that contributes to environmental conservation and socioeconomic development. In the digital era, the digital image of destination (DID) has become a powerful tool for shaping tourist perceptions, fostering engagement, and promoting pro-environmental behaviors. Although not a forest product, DID plays a vital role in promoting forest-based tourism and supporting its sustainability objectives. This study investigated the influence of DID on tourists’ pro-environmental behaviors within the context of forest-based tourism. Utilizing a systematic literature review of publications from 2000 to 2025, this study synthesized key themes related to digital engagement, environmental attitudes, and behavioral outcomes. Additionally, a bibliometric analysis based on Scopus data was conducted using VOSviewer to identify leading authors, thematic clusters, and patterns of international collaboration. Results revealed that while DID positively affects tourist behavior, forest tourism remains an underexplored niche within the broader tourism research landscape. The study highlights the need for context-sensitive strategies, such as zoning policies and artificial intelligence-based content design, and recommends future research directions to enhance the sustainability of forest tourism through digital engagement.

No abstract available

Purpose The study aims to draw on the self-congruity theory to investigate the relationship among destination personality (DP), self-congruity and tourists’ pro-environmental behavioral intention (BI) among Guangzhou citizens who have experienced nature-based tourism (NBT). Design/methodology/approach The survey-based quantitative research was divided into two rounds, namely, a preliminary study exploring the dimensions of DP and the verification of whether the DP dimensions that significantly affect pro-environmental BI in step one would be selected for the main research to validate the conceptual model. Findings The results suggest that wholesome, one of the destination personalities, strongly predicts tourists’ pro-environmental BI, while actual self-congruity plays a mediating role between sincere, another DP, and tourists’ pro-environmental BI. Practical implications In practice, it offers multidimensional knowledge and robust evidence-based recommendations for the sustainable development and destination branding of NBT destinations in the post-epidemic era. Originality/value The study presents pioneering work that reveals previously underestimated factors influencing pro-environmental BI.

The harmonious coexistence of humanity and nature stands as a paramount objective in the global endeavor towards ecological civilization. By vigorously promoting eco-friendly recreational activities within World Agricultural Heritage sites, we can evoke tourists’ emotional understanding and empathy towards environmental protection. This approach presents an optimal solution to the challenges faced in realizing the ecological value of these heritage sites, thereby fostering an even deeper harmony between people and nature. For this study, the Anxi Tie Guan Yin Tea Cultural System, a site of global agricultural heritage significance, was chosen as the case study. Employing structural equation modeling (SEM) analysis, a survey was administered to 452 local tourists for empirical testing. The research reveals several key findings: (1) Tourists’ environmental concern exerts a notably positive influence on their pro-environmental behaviors; (2) both nature empathy and ecological anxiety serve as mediators in the relationship between environmental concern and tourists’ pro-environmental behaviors; (3) furthermore, nature empathy and ecological anxiety exhibit a sequential, or chain, mediation effect between environmental concern and pro-environmental behaviors; and (4) lastly, the impact of nature empathy and ecological anxiety on tourists’ pro-environmental behaviors differs according to gender. Consequently, managers of agricultural heritage sites should aim to evoke tourists’ sense of nature empathy while appropriately stimulating their ecological anxiety, thereby providing guidance for ensuring a harmonious blend of human activities and the ecological environment and ultimately fostering the sustainable development of World Agricultural Heritage sites.

Tourists’ pro-environmental behavior is one of the key factors for the sustainable development of natural scenic spots. Although this behavior depends on the surroundings and context, the existing literature lacks the perspective of specific scenarios, especially that of embodied emotions. This research integrated the theory of planned behavior and embodied theory to construct an integrative model of pro-environmental behavior that combined tourists’ “rational planning” and “embodied emotion” and conducted an empirical study. The results show that in natural scenic spots, “rational planning” and “embodied emotion” affect tourists’ pro-environmental behavior simultaneously on dual paths, and factors such as behavioral attitude, perceived behavioral control, subjective norm, engagement with nature, and connectedness to nature have different effects on high- and low-effort pro-environmental behavioral intentions. The findings of the study provide a new explanatory perspective for individual pro-environmental behaviors and a basis for effectively predicting and guiding tourists’ pro-environmental behaviors in natural scenic spots.

Purpose The role of descriptive social norms in guiding behaviors has inspired the widely used social marketing techniques to encourage pro-environmental consumption practices. However, evidence about the effectiveness of such interventions is unreconciled. This study aims to delve into the complex nature underlying the power of descriptive social norms in encouraging pro-environmental consumption behaviors. The authors expect that while the norms are a powerful determinant of pro-environmental consumption behaviors, they also strengthen people’s beliefs about the redundancy of their behaviors, which hinder the conversion of their environmental concerns into actual actions. Design/methodology/approach The authors conducted two separate cross-sectional studies to test the hypotheses, using samples from a large city in a Southeast Asian country. Study 1 focused on general pro-environmental consumption behavior, using a sample of 281 students and lecturers in two universities. Study 2 aims to validate the findings of Study 1 for two specific behaviors, including electricity conservation and unneeded consumption reduction, with a sample of 370 residents from different residential buildings. Findings The analysis results show that environmental concerns significantly predict general pro-environmental consumption behavior in Study 1 but are not a predictor of electricity conservation and unneeded consumption reduction in Study 2. Descriptive social norms significantly influence general pro-environmental consumption behavior (Study 1) and electricity conservation (Study 2) but do not affect unneeded consumption reduction (Study 2). Both studies verify our expectation about the negative interaction effect of descriptive social norms and environmental concerns on pro-environmental consumption behaviors, providing a nuanced picture of the effectiveness of descriptive social norms. Originality/value The findings of this study significantly advance our current knowledge of the mechanism underlying the (in)effectiveness of descriptive social norms-based social marketing approaches and, thus, provide insightful implications for designing more effective behavioral change strategies for a pro-environmental consumption culture.

Introduction The New Year, and the New Year’s Resolution tradition, may establish January as a moment of personal change: when there could be a temporal landmark for making a “fresh start,” a habit discontinuity, and value activation. As such, January may afford opportunities for personal pro-environmental lifestyle changes, such as by changing product choices. Method To investigate this empirically, we analyzed existing data from a 2016 survey of retail customers (N = 12,968) linked to 35 months of their sales data (2012–2015) provided by a leading healthcare retailer in the United Kingdom. We compared sales in January to those in other months, focusing on sales of green product varieties and overall product sales (as a dematerialization indicator), and sales of two self-enhancing health product types (nicotine replacement therapy products and weight reduction products) for comparison. Results Our results confirmed that sales of self-enhancing health products were greater in January than in other months, but we found limited evidence for pro-environmental consumption in January, and no evidence to support the habit discontinuity or value activation hypotheses. Discussion We discuss these results with respect to behavior change intervention potential and moments of change theory.

No abstract available

PurposeCompanies are increasingly designing pro-environmental games to motivate users to implement pro-environmental behaviors (PEBs). However, how different types of virtual interactions affect PEBs in pro-environmental games is not clear. Thus, the authors propose that two types of virtual interaction, interactions with game objects and interactions with other users, can induce platform intimacy and love for nature and that platform intimacy has a direct effect on love for nature. Simultaneously, the authors examine the moderating effect of network externality on the relationship between the two types of virtual interaction and platform intimacy.Design/methodology/approachThe authors, respectively, employed data from 92 students and 574 Chinese mobile users to empirically investigate the research framework.FindingsThe findings indicate that participants in interactions with game objects and interactions with other users reported stronger feelings regarding platform intimacy and love for nature, which, in turn, positively influences PEBs. Consumers with stronger perceptions of network externalities were more likely to be affected by the initiation effect of the interaction with game objects.Originality/valueThe authors introduce the notion of love for nature to the pro-environmental behaviors field and discuss the priming effect of two types of interactions on platform intimacy and love for nature. In addition, the authors focus on the important effect of network externality on users' emotions.

Abstract Promoting customers’ pro-environmental behaviors (PEBs) is crucial for greening the hotel industry. However, customers often hesitate to adopt resource-saving PEBs in public places like hotels due to a "dual positive externality/spillover" problem – extra positive economic spillovers and increased positive environmental spillovers, compared to conducting such behaviors in private households. This study explores habitual PEBs at home and two distinct environmental cognitions associated with key spillover beneficiaries (nature and hotels) to address this challenge and accelerate customers’ PEBs in hotel settings. The rationale is that customers’ habitual PEBs at home can automatically extend to hotels with insensitivity or low sensitivity to positive spillovers; the two beneficiary-linked environmental cognitions (general environmental awareness associated with nature and occasional corporate environmental responsibility attribution [CERA] linked to hotels) can make customers psychologically internalize the positive spillovers of their PEBs at home and hotels to different degrees by changing psychological boundaries between actors and beneficiaries, and/or enable them to realize the intrinsic psychological rewards or incentives (such as a sense of pride or identification) that serve as compensation for the spillovers. Furthermore, this study proposes that habitual PEBs at home mediate between general environmental awareness and PEBs at hotels by bridging the cognition-behavior gap. Moreover, there is a sequential decrease in the effects of habitual PEBs at home, altruistic CERA, and environmental awareness on PEBs at hotels. Empirical evidence from a survey of Chinese hotel guests supports most hypotheses, offering valuable insights for promoting PEBs in the hotel industry.

In the aftermath of Covid-19, nature tourism has gained significant traction in Indonesia. Padusan Village in Mojokerto Regency, East Java, stands out as a prime example. Nestled at the foot of Mount Welirang and bordering a lush forest, the village offers a unique blend of adventure, wellness, and ecotourism experiences. This research aims to: 1) Catalog the diverse adventure, wellness, and eco-tourism activities available in Padusan village, and 2) Highlight tourism practices that can foster pro-environmental behaviour industry-wide. A qualitative case study methodology was adopted. Data was gathered through on-site observations and in-depth interviews. Thematic analysis was the primary tool for data interpretation, with triangulation ensuring data accuracy. Preliminary findings underscore the village’s effective use of its natural hot springs and sustainable forest resources. More importantly, the nature-centric tourism in Padusan Village not only offers rejuvenation but also nudges tourists towards environmentally responsible behaviours. This study underscores the potential of nature tourism in shaping sustainable practices in the broader tourism industry.

No abstract available

Supervisor ostracism represents a pervasive and detrimental workplace stressor, yet existing research has predominantly focused on reactive coping mechanisms, leaving a critical gap regarding how employees can proactively prevent such mistreatment. To address this problem, this study draws on signaling theory as an overarching framework-integrated with social exchange theory as a downstream mechanism-to propose that employees can actively construct a "moral shield" by engaging in green advocacy, a high-cost, self-transcendent behavior that signals intrinsic moral character. We tested our theoretical model using a multi-method design. Study 1, a scenario-based experiment with 146 supervisors, provided causal evidence that green advocacy leads supervisors to objectively grant interpersonal moral credits, which subsequently reduces their behavioral intentions to ostracize. Study 2, a three-wave time-lagged survey of 434 employees, complemented these findings by confirming that green advocacy is associated with employees' perceived moral credits and reduced perceived ostracism in a field setting. Furthermore, we found that this signaling process is contingent upon the receiver's interpretation: the protective effect of green advocacy is amplified when Supervisory Support for the Environment (SSE) is high. This research contributes to the literature by identifying a novel, behavior-based signaling strategy for averting social exclusion and validating the dual nature (granted vs. perceived) of moral credits in hierarchical interactions.

This paper explores the role of awe for nature in influencing employee green behavior. Despite the established relationship between awe and pro‐social behavior, the role of awe for nature as well as its influences on non‐interpersonal prosocial behavior remain unclear. Drawing from feelings as information theory, we suggest that employees' awe for nature can induce both external‐oriented (environmental awareness) and internal‐oriented (a sense of the small self) cognitions, which, in turn, enhance their employee green behavior. Moreover, we propose that the influence of awe for nature is contingent on perceived environmental norms in the workplace. To test our hypotheses, a series of five studies was conducted, including a multi‐wave field study and four experiments. The results largely supported these hypotheses. This study thus introduces awe for nature as a domain‐specific emotion and extends awe's prosocial effects to non‐interpersonal employee green behavior. The results suggest that organizations should use awe for nature as a vital tool to navigate the pro‐environmental workplace.

This research paper delves into the complex relationship between pro-environmental attitudes, dietary preferences, and packaging choices using a Virtual Reality (VR) restaurant scenario. The imperative is to address environmental concerns, particularly plastic waste and greenhouse gas emissions, as they pertain to sectors of the food service sector. This study seeks to understand the factors influencing environmental attitudes and behaviors, with a focus on dietary preferences and packaging choices using a VR restaurant scenario. This study explores connections between gender, education, interventions, and pro-environmental attitudes, as well as the correlation between vegetarian diets and sustainable behaviors. While the results suggest significant correlations between gender and pro-environmental attitudes and a potential connection between adopting vegetarian diets and pro-environmental attitudes, our study emphasizes the nuanced nature of these relationships. The findings underline the importance of interdisciplinary research and strategic interventions for fostering sustainable behaviors and reducing environmental impact. The use of VR simulation adds a novel dimension to understanding individuals’ choices in controlled environments, shedding light on the intricate dynamics of pro-environmental decision making. This paper contributes to the ongoing discourse on sustainable behavior by offering insights into the interplay between personal preferences, environmental awareness, and choices with significant environmental implications.

ABSTRACT: This study explores the influence of perceived similarity on pro-environmental behavior, focusing on plastic reduction. Participants’ daily plastic use and reduction were tracked over 30 days via online chat software, with controlled nudges from an agent. Each group included two examinees and one agent. Behavioral data were analyzed to evaluate predictability from various perspectives and its relationship with behavioral change. Results showed significant differences in predictability based on perceived similarity, particularly during the first 10 days. Furthermore, nudges, consumption levels, and behavioral changes significantly affected predictability within the first 20 days. These findings contribute to understanding how perceived similarity can enhance nudging strategies to promote sustainable behavior and reduce plastic consumption.

Abstract This empirical study uses nudge theory to develop conceptual models to predict the pro-sustainable behaviors of visitors. Two sets of antecedents, including the destination level (i.e. destination social responsibility [DSR]) and the individual level (climate change perception), were used as configurations to stimulate the pro-sustainable behavioral intentions of visitors in terms of willingness to sacrifice, eco-behaviors, and localism. The proposed models were tested using partial least squares-structural equation modeling (PLS-SEM) to investigate the net effect of the antecedents and fuzzy-set qualitative comparative analysis (fsQCA) to explore complex configurations leading to the pro-sustainable behavioral intentions of visitors. An interview study with experts was also conducted to develop a framework illustrating transformational drivers of actual pro-sustainable behaviors. Climate change concerns and environmentally responsible destinations appear to be significant predictors of visitors’ willingness to sacrifice, localism, and eco-behaviors. Climate change awareness, beliefs, and concerns are necessary for pro-sustainable behavioral intentions. The results highlight the importance of nudge theory and creative practices to enact pro-sustainable behavioral change. The proposed framework offers guidelines at the tactical, strategic, and structural levels to stimulate visitors’ actual behaviors toward climate change actions.

Even though environmental agendas and ESG rhetoric have become highly visible across governments and firms, we still do not fully understand how an employee’s perception of green CSR is internalized and eventually shows up as pro-environmental actions. Much has been said in policy speeches, but the internal psychological pipeline that runs from awareness to action has remained curiously underexplored. This study takes that pathway seriously. We propose that green CSR perception nudges environmental concern, which then shades into everyday eco-behavior; and that this linkage becomes stronger, or weaker, depending on whether employees believe their organization acts sincerely. To test this, survey data from 300 Korean employees were examined using PROCESS Model 7. Three domains of pro-environmental behavior—resource saving, eco-product choices, and green mobility—were analyzed. Results show that CSR perception does not directly translate into green practices; instead, it works mostly through the elevation of environmental concern. Moreover, this indirect link was only robust under conditions of high organizational trust. These findings suggest that corporate environmental messaging is insufficient without credible trust-building mechanisms. Practically speaking, CSR must be participatory, believable, and grounded in responsible governance. Policies that reinforce this alignment provide fertile ground for meaningful ecological behavior inside firms.

Cultivating pro-environmental choices and behaviors is an important concern for tourism research and practice. Informed by recent developments in psychological research on embodied cognition and the moral effects of physical cleansing, we elicit novel insights about the causal relationship between the embodied experience of physical cleansing and pro-environmental travel choices. Across four experiments, we show that when one’s moral self-regard is heightened by the virtue of physical cleansing, it can motivate consumers to engage in pro-environmental travel choices. Importantly, we show that such an effect occurs because, after physical cleansing, consumers experience more expected guilt for not choosing a morally preferred environmentally friendly travel option within the evoked set of travel alternatives. Our study offers a novel way to understand how consumers can be “nudged” to choose pro-environmental travel options beyond fostering positive attitudes toward sustainability per se. Important implications for tourism research and practice are discussed.

PurposeStorytelling through virtual reality (VR) combines the strengths of cutting-edge technology with traditional informational campaigns. As a tool for climate change mitigation, VR has been shown to educate individuals and stimulate both emotional and cognitive responses that promote pro-environmental behavior. This paper aims to investigate whether these benefits extend to the field of green investing through an experiment conducted with a sample of small business entrepreneurs.Design/methodology/approachThe experimental design involved making choices between bonds varying in maturity dates, annual interest and environmental classification (regular versus green). To identify potential impacts of the immersive experience on investment decisions, these choices were made both before and after exposure to VR videos illustrating the devastating effects of climate change. A multiple price list was employed to elicit subjects' risk preferences, enabling the joint estimation of the treatment effect and the risk and time preference parameters. FindingsThe findings indicate that, when risk and time preference parameters are controlled for, a VR experience can nudge toward green investment choices. This effect is more profound among those who already exhibit a greater propensity to opt for green investments.Originality/valuePrevious research shows that negative emotions, such as guilt, affect pro-environmental intentions, as well as actions, while message vividness through immersive experiences is effective in nudging greener behavior. Since analogous results in the framework of financial investments are not currently available, this paper seeks to test whether VR videos depicting the adverse effects of climate change can generate negative emotions associated with experiencing these effects and make them salient in subsequent investment decisions made by small business entrepreneurs.

With emotional value and connectedness to nature as mediators and green consumption value as a moderator, this study explores the effects of sustainable marketing practices in the hospitality industry on tourists' sustainable consumption behavior. Based on an integrated framework, we gathered the survey responses of 378 tourists from South Korea. Hypothesis testing was done using partial least squares structural equation modeling (PLS-SEM). The results show that sustainable marketing practices have a positive direct and indirect impact on tourists' sustainable behavior through emotional value and connectedness to nature. Significant complementarity of mediation is found for both mediators. The moderating role of green consumption value is also pathway-specific: it significantly enhances the impact of connectedness to nature on behavior, but does not significantly change the influence of emotional value on behavior. The results demonstrate a culturally relevant process through which hotel sustainability initiatives influence pro-environmental tourism behavior. The study adds to the literature by making connections between sustainable marketing and environmental psychology and provides practical implications for hospitality managers in order to encourage sustainable tourist behavior.

This study explores the interplay between tourist engagement, perception, perceived value, and nature relatedness on tourists' behavioral intentions towards pro-environmental actions at Kaligua Tea Plantation, Indonesia. Emphasizing the role of nature relatedness as a moderating variable, this research seeks to identify the complex relationships these factors share in promoting sustainable tourism practices. Tourist engagement involves active and emotional participation, which has been found to enhance the tourist's connection to the destination, thereby influencing their pro-environmental intentions. Tourist perception, which encompasses views on authenticity, environmental quality, and alignment with ecotourism principles, directly impacts the sustainability and reputation of the destination. Meanwhile, perceived value—which tourists ascribe based on the economic, social, and environmental benefits received—further influences their commitment to sustainable practices. The study utilizes a quantitative approach with a Likert scale to measure responses from 350 purposively sampled visitors, revealing that nature relatedness not only strengthens the positive effects of tourist engagement and perceived value but also serves as a critical factor in fostering a deeper environmental commitment among tourists. This research contributes to ecotourism literature by providing nuanced insights into how ecotourism operators can enhance tourist experiences and satisfaction, ultimately leading to more sustained and effective conservation efforts.

This study aims to delve into the intricate dynamics of customers’ pro-environmental behavior, examining the impact of external stimuli like hotel green practices (as contextual factors); internal stimuli, i.e. perceived consumer effectiveness, perceived environmental responsibility and pro-environmental self-identity (as individual factors); and social norms as social factors, on customers’ engagement in sustainable consumption (CEISC) and subsequent pro-environmental behaviors (PEBs). An age-based quota sampling technique was used to gather data from customers visiting hotels in Pakistan. SmartPLS v.4 software was used to analyze the data, applying structural equation modeling and testing for the predictive powers of the model. The results revealed the significant impact of both external and internal stimuli on customers’ PEBs, with higher impacts of hotel green practices and pro-environmental self-identity, underlining the complex nature of these influences. Results also revealed that social norms augment the influence of extrinsic and intrinsic factors on CEISC. Hotels can enhance customer engagement by implementing green practices. In addition, leveraging social norms and tailoring communication strategies to highlight collective benefits can further amplify PEBs among guests. This research provides a pioneering theoretical contribution by integrating the stimulus-organism-response model, the theory of planned behavior and the value-belief-norm theory in the realm of green consumerism in the hotel industry. It also addresses the potential gap linked to hotel green practices in leveraging customers’ PEBs in addition to their positive perceptions.

. Little is known about the impact of interventions aimed at reducing the demand for single-use plastic bags. In a natural field experiment conducted in a big supermarket chain in Armenia, we test how a nudge (information on the environmental impact of plastic), a competitive financial bonus scheme, and a free provision of reusable bags affect the demand for disposable bags. Relative to the baseline with no intervention, both the bonus and the nudge considerably reduce the purchase of disposable bags. The bonus scheme and the environmental nudge are equally effective when not combined with free reusable bags. However, the financial bonus scheme combined with a free reusable bag is a more potent catalyst of pro-environmental behavior than the environmental nudge combined with a similar bag. Individuals actively use the tote bags to ditch plastic in the presence of a competitive bonus.

This study investigates how environmental concern translates into green banking behavior by distinguishing three behavioral mechanisms: cost‐sensitive (instrumental—via perceived benefits and adoption intention), loyalty‐based, and sacrifice‐based (affective—via trust). Grounded in the theory of planned behavior (TPB) and self‐determination theory (SDT), we employ structural equation modelling (SEM) and a conditional moderated mediation model (PROCESS Model 11), with perceived benefits, adoption intention, and trust serving as mediators, and personal responsibility and social norms acting as moderators. Findings indicated that different psychological paths trigger different outcomes of pro‐environmental financial behavior. Artificial neural networks (ANN) complement the analysis by detecting nonlinear patterns, supporting the multidimensional nature of environmental behavior. The study challenges one‐dimensional measurement of green behavior and underscores the need for tailored policy approaches in sustainable finance. By aligning motivation types with targeted behavioral outcomes, this work advances applications of behavioral economics in green banking.

Aims: The study aimed to identify the determinants of green purchase behaviour of consumers. Methodology: Primary data were collected from the consumers (200) who use at least one green product with an eco-label in Ernakulam District. A purposive sampling was employed to select 100 consumers both from Kochi Corporation area and Mulanthuruthy panchayath of Ernakulam district of Kerala, during the month of august and september 2023. Secondary data were collected from websites, government reports, and publications. Results: The factor analysis revealed that respondents in grama panchayat influenced by three factors like eco consumer insight, concern towards nature and green product value perspective. Whereas the factors like concern towards nature, government intervention, green product value perceptive and green promotion were acting as the major determinants of green purchase behaviour in the corporation area. The overall response of green consumers in Ernakulam district highlighted, three main factors that influence their purchase decision such as eco consumer insight, concern towards nature, and green product value perspective. Conclusion: The marketers and policymakers need to consider the factors like eco consumer insight, concern towards nature, green product value perspective, green promotion for popularising and increasing the sale of green products.

Virtual reality is providing new opportunities for health and well-being, organizational learning, and tourism management. The study reported in this paper aims to examine whether engaging in a virtual reality tourism experience could function as a restorative intervention strategy to enhance mental well-being of employees in the workplace. The study employed a lab-based pre–post experimental design to test the effectiveness of a virtual reality tourism experience, involving a nature-based marine setting, to enhance mental restoration and reduce mental fatigue. The results show that 3 minutes of a virtual tourism experience can lead to enhanced concentration while boosting the mental well-being of employees, while, at the same time, providing destinations with an opportunity to promote “real” experiences.

No abstract available

Purpose Green customer citizenship behaviour (GCCB) has been proposed as an alternative to reduce the gap in green purchasing. Based on the value-attitude-behaviour-hierarchy (VABH) framework, this study aims to explore how self-transcendence, self-enhancement and green consumption values (GCV) influence green attitudes and GCCB. The paper also investigates how green brand equity (GBE) affects the relationship between attitudes and different aspects of GCCB. Design/methodology/approach Respondents aged 18+ who had purchased or recommended green products in the past 12 months were selected. Data were collected via the mall intercept method and structured questionnaires. The final sample of 396 respondents was analysed using partial least squares structural equation modelling. Findings Attitude plays a key role in mediating the relationship between self-transcendence, self-enhancement and the individual dimension of citizenship behaviour. GCV significantly affects the relationship between self-enhancement values and green attitudes. The importance of GBE in strengthening the impact of green attitudes on advocacy and feedback behaviour was highlighted. Practical implications Given the dichotomous nature of basic human values – self-transcendence and self-enhancement – companies should place greater emphasis on self-transcendence and the promotion of green consumption values. By identifying the right mix through green marketing practices, companies can shape customers’ positive attitudes and behaviours. Companies with these interventions can benefit from customer’s extra-role behaviour, thus encouraging their in-role behaviour that supports green consumerism. Originality/value The interplay between different concepts of value is examined. Attitude acts as a link between value and citizenship behaviour. Additionally, this study explores and establishes GBE as a moderator in the relationship between attitude and citizenship behaviour. Finally, the authors validate the VABH framework in the context of an emerging economy to provide insights in reducing the gap in green purchasing through customers’ extra-role behaviour.

Digitalization, green transitions, and demographic change are transforming societies and economies across Europe. These shifts are giving rise to new forms of work (eg, hybrid work, gig economy jobs) and reshaping management and work organization practices (eg, through algorithmic decision-making or digital monitoring of worker performance). While such developments offer important opportunities to improve sustainability, flexibility, and efficiency, they also present challenges for ensuring healthy and equitable working conditions—especially if workplace policies and practices do not keep pace with these transformations (1). Work-related illnesses and injuries already place a substantial burden on employers and the broader economy, with costs estimated to exceed 3.3% of the European Union (EU) gross domestic product annually (2). It is well established that the work environment plays a crucial role in shaping both physical and mental health. Poorly designed or managed workplaces are associated with increased risks of musculoskeletal disorders (MSD), stress, burnout, and long-term sickness absence (3). In contrast, supportive work environments—characterized by ergonomic design, good environmental quality, and worker autonomy—have been shown to improve well-being, productivity, and job satisfaction (4). Rapid advances in digital technologies, particularly artificial intelligence (AI), further amplify both opportunities and risks in the modern workplace. AI can help enhance safety, reduce physical demands, and streamline tasks, but also raises concerns about autonomy, fairness, transparency, and mental well-being (5). Understanding how these technologies reshape power dynamics, management practices, and psychosocial work environments is essential to ensuring responsible, inclusive, and health-promoting digital transitions. Amid these transitions (6), MSD continue to be among the most common work-related health issues (7), while stress, depression, and anxiety are frequently cited by workers and managers as critical mental health concerns (8). The emergence of the COVID-19 pandemic has accelerated these changes, introducing additional mental health challenges and intensifying pre-existing physical risk factors (9). For instance, the increase in computer use, shift to non-traditional workspaces (eg, home offices), and reduced physical activity among office workers often result in prolonged static postures and repetitive movements, factors that elevate the risk of negative health outcomes (10). These post-pandemic trends are also linked to a rise in mental health issues such as stress, burnout, and social isolation (11). In response to these challenges, the EU has launched several strategic initiatives aimed at ensuring safe, healthy, and inclusive working conditions. The EU Strategic Framework on Health and Safety at Work 2021–2027 calls for adapting occupational safety and health (OSH) practices to the realities of digitalization, demographic shifts, and new forms of work (12). Complementing this, the European Commission’s 2023 Communication on a comprehensive approach to mental health (13) sets mental health on equal footing with physical health, announcing 20 flagship actions backed by over €1.2 billion in funding. Among these are initiatives that specifically target psychosocial risks at work, including the development of an EU-level initiative on managing psychosocial risks (14) and the organization of EU-wide workplace campaigns to raise awareness and promote preventive action (15). These efforts align with the European Pillar of Social Rights (16), reinforcing the EU’s commitment to fair working conditions, universal access to healthcare, and robust social protections. In this context, WISEWORK-C (Workplace Innovation for Sustainable Well-being Cluster) (www.wisework-c.eu) is a recently established cluster composed of five independent projects funded by the EU Framework Programme for Research and Innovation Horizon Europe under the call “HORIZON-HLTH-2023-ENVHLTH-02-02: Evidence-based interventions for the promotion of mental and physical health in changing working environments (post-pandemic workplaces)”. The cluster’s primary aim is to enhance collaboration and jointly promote the benefits of addressing mental and physical health in the workplace and develop and evaluate a range of evidence-based interventions. Using scientific findings, the cluster seeks to inform and influence policy and decision-makers to take greater action, ultimately leading to more sustainable, health-promoting workplaces. To achieve these goals, WISEWORK-C brings together five Horizon Europe projects (see table 1) with unique interdisciplinary approaches: (i) EU-CoWork. EU-CoWork’s ambition is to develop an evidence basis for and subsequently develop, test and evaluate tailored `compassionate workplace programs` (17) in Europe to leverage the positive impacts and existing assets of workplaces and mitigate the negative impacts and challenges of the new ways of working for the mental and physical health and well-being of employees faced with end-of-life experiences (such as loss, grief, dying, death, serious illness and care giving) and their colleagues (18). The project is a collaboration between five countries (Austria, Belgium, Greece, the UK, and Sweden) and entails a cross-national mixed-methods intervention study with an embedded process and impact evaluation. It applies an international co-creative and developmental evaluation of tailored compassionate workplace programs, and mixed-methods process and impact evaluation combining a timed series of quantitative cross-sectional panel surveys, qualitative interviews and fieldwork, and policy document analysis. Tailored compassionate workplace programs will be developed in 12 digitalized and/or green workplaces across four European countries. (ii) INTERCAMBIO. There has been insufficient attention to the impacts of climate change and the green transition on occupational health and safety (19). The INTERCAMBIO project aims to promote the health of workers in work environments impacted by climate change, implementation of new sustainable work practices, and the green transition (20). The project is a collaboration between 14 partners in eight countries (Belgium, Denmark, The Netherlands, Portugal, Spain, Sweden, Switzerland, and the UK). INTERCAMBIO addresses mental and physical health of workers through specific workplace interventions in five relevant industries including outdoor construction, healthcare, public transit, wind turbine manufacturing, and waste management/recycling using mixed-methods. In addition, INTERCAMBIO is also performing observational research to evaluate both short- and long-term impacts of occupational heat, cold, and solar UV radiation exposures in relation to mental and physical health effects, including in biomarker-based studies, as well as in large-scale cohort studies using innovative exposure assessment approaches. INTERCAMBIO is coordinating a diverse stakeholder community and developing a new health research agenda in interaction with other (European) initiations. INTERCAMBIO seeks to contribute to supporting decent green jobs. (iii) PROSPERH. The PROSPERH (Promoting Positive Mental and Physical Health at Work in a Changing Environment) research project underscores the urgency of prioritizing holistic workplace well-being. With the evolving nature of work—marked by remote and hybrid arrangements, technological advancements, and increasing job demands—it is imperative to integrate strategies that enhance both mental and physical health in professional settings. PROSPERH enhances workplace health by providing evidence-based digital interventions, targeted at the individual, peer and organizational levels, that help prevent and manage work-related physical and mental health conditions and prepare workplaces for evolving environments. Employers will benefit from improved health promotion strategies, while policy-makers will gain valuable insights for shaping effective interventions that foster healthier behaviors and workspaces. The PROSPERH intervention is being delivered via the PROSPERH portal and application in 11 countries (Albania, Australia, Denmark, Germany, Hungary, Ireland, Kosovo, The Netherlands, Portugal, Spain and Turkey), targeting the construction and healthcare sectors and workers in telework and ICT-based mobile work settings. (iv) SONATA. The SONATA project aims to augment currently existing and develop novel architectural adaptation technologies, including smart building systems that optimize indoor environmental quality and comfort (21) and robotically moveable acoustic walls and ceiling panels that reconfigure space (22). The project is assessing the medical, situational, and social impacts of these technologies across three shared workplace contexts: an open-plan office, a hybrid co-working space, and a set of home offices, in four different countries: Belgium, Germany, Italy, and The Netherlands. Accordingly, it will also establish a set of empirically grounded recommendations on how to (a) measure, compare, and optimize the health and well-being benefits of architectural adaptation technologies; (b) establish the ‘orchestration’ of multiple adaptive technologies in order to augment their joint benefit; and (c) prescribe the equitable distribution of these benefits among co-workers that share the same office. Ultimately, the SONATA research envisions a shared office workplace that is able to adapt to the ever-changing needs and preferences of individual workers, instead of expecting that these workers should constantly adapt to the rather generalized conditions of their workplace. (v) WAge. WAge focuses on how physical and psychosocial workplace factors interact to influence health, well-being, and work sustainability across age groups. As working lives grow longer and workforce demographics shift (23), the project ai

No abstract available

Green care is an innovative approach that combines simultaneously caring for people and caring for land through three elements that have not been previously connected: (1) multifunctional agriculture and recognition of the plurality of agricultural system values; (2) social services and health care; and (3) the possibility of strengthening the farming sector and local communities. The current research provides a comprehensive overview of green care in Europe as a scientific discipline through a literature review (n = 98 studies). According to our results, the Netherlands, the UK, Norway and Sweden followed by Italy have led the scientific studies published in English. Green care research comprises a wide range of perspectives and frameworks (social farming, care farming, nature-based solutions, etc.) with differences in their specificities. Green care studies have mainly focused on measuring the effectiveness of therapeutic interventions. Studies that evaluate its relevance in socio-economic and environmental terms are still limited. According to our results, the most common users studied were people suffering from psychological and mental ill health, while the most common activities were horticulture, animal husbandry and gardening. Finally, we discuss the potential of green care to reconnect people with nature and to diversify the farming sector providing new public services associated with the relational values society obtains from the contact with agricultural systems.

Federal, state, and local park agencies across the nation have faced budget cuts in recent years as a result of the economic downturn and sequestration, resulting in park closures, reduced hours, staffing cuts, and deferred maintenance. For example, California faced closure of 70 state parks in 2012 to trim $22 million from the strapped state budget. Although most parks were saved by contributions from various partners, future funding remains tenuous. Perhaps the initial proposal to shutter 25% of California’s state parks to save 0.14% of the state budget deficit would not have been made if we valued these lands not only for recreation and conservation but also as a critical public health resource. With health care reform shifting incentives toward prevention, now is the time to look for low-cost, high-yield wellness opportunities, such as those offered by parks and other green spaces. Parks are appealing venues for physical activity. Obesity and sedentary lifestyles are linked to a host of chronic diseases, including diabetes, heart disease, cancer, hypertension, arthritis, stroke, depression, and sleep disorders, which account for more than 20% of total US health care costs (1). Projections indicate that millions of Americans will be newly diagnosed with a preventable chronic disease over the next 20 years at an estimated cost ranging from $48 billion to $66 billion per year (2). Physical activity is a proven strategy to prevent, manage, and reduce this burden, but only an estimated 50% of the US population gets enough exercise (3). Access to outdoor space is associated with initiating and maintaining physical activity and reducing obesity, especially when that space is well maintained, safe, and accessible and offers attractive facilities and programs. In addition to physical activity benefits, parks may promote mental health, social cohesion, and general well-being (4). (Please also see the supplemental bibliography in the Appendix.) As far back as the mid-19th century, Fredrick Law Olmsted, widely considered one of the founders of landscape architecture and the American Parks Movement, believed that naturalistically designed parks could counter the stress of urban living by offering a transformative environmental experience that enabled people to regain both mental and physical health (5). Olmstead believed intuitively that polluted city air could be “disinfected by sunlight and foliage.” He also designed parks with societal inclusion in mind as a place for members of all socioeconomic strata to enjoy and build community through shared aesthetic experience. Interestingly, his son, Frederick Law Olmsted Jr., conducted the initial survey of potential state park land in California and guided the nascent state park commission in the purchase of its first properties in 1928. Mounting scientific evidence corroborates Olmsted’s intuition. Physical activity in natural park settings may confer benefits above and beyond equivalent activity in built settings (6). Proximity to parks and green space has been associated with reductions in self-reported stress, depressive symptoms, and interpersonal violence and with improved attention, self-discipline, social ties, and quality of life (4). Access to parks and green space may also help reduce health disparities. Populations with low socioeconomic status in urban settings are likely to be deprived of such access, and contact with nature has the potential to disproportionately improve health outcomes for these populations (7). To tap into the potential of parks and green space, nature–health collaborations are gaining popularity nationwide. Health facilities around the country are adopting “park prescriptions”; insurers and health plans are sponsoring trails and parks and encouraging subscribers to use them. Highly publicized programs such as Michelle Obama’s “Let’s Move Outside” campaign, the “Leave No Child Inside” campaign, the Children and Nature Network, and the National Park Service’s “Healthy Parks, Healthy People” initiative have sparked a conversation about nature and green space as a health resource. Despite a rich history and the renewed interest in the health benefits of green space, our public lands continue to be an undervalued and unequally used health resource. In California, for example, visitors made an impressive 65 million trips to state parks last year (1.7 visits per capita), generating $4 billion in economic activity and burning more than 8.9 billion calories (calculated for 30 minutes of moderate physical activity based on the Centers for Disease Control and Prevention estimate of 280 calories expended per hour) (8). Collectively, the nation’s state parks attract more than 720 million visits annually; the National Park Service reported more than 282 million visits in 2012, and 85% of local park directors reported increasing use in a Resources for the Future survey (9–11). Although adequate data exist for absolute visitation rates, more nuanced data are limited on type of use, duration of use, and segmentation of users by demographic and health status. These data are needed because many of these visits represent repeat events from a subpopulation of frequent users, which means that only a segment of the population receives the health benefits of parks. Many people, because of lack of access, transportation, or familiarity, visit parks infrequently or not at all (9). Physical activity and frequency of park use depend on demographic, socioeconomic, and regional characteristics (12) and reflect disparities in park distribution. Studies have shown that fewer public resources, such as parks, trails, and playgrounds, exist in communities with lower and medium socioeconomic status (12,13) than in communities with higher socioeconomic status. This lack of facilities is associated with decreased physical activity and increased overweight (13), and lack of green space is associated with higher risk for all-cause mortality, an effect that is especially marked for low-income populations (7). Improving distribution, access, and use of parks — from large national and state parks to small, nearby neighborhood parks — could yield a range of health benefits. For instance, enhanced park use and physical activity sufficient to achieve just a 5% reduction in the burden of diabetes, hypertension, and related conditions could save an estimated $24.7 billion annually in avoided health care costs (1). Adults who satisfied the recommended level of activity (150 minutes of moderate-intensity activity per week) demonstrated a 40% lower relative risk for cardiovascular disease mortality (3). Enhanced park use and activity could also have beneficial effects on mental health, such as reduced tension, depression, and anger and increased social cohesion and its attendant health benefits (6). Economic and environmental benefits of parks outside the health sector, such as increased property values and property tax revenues, storm water management, carbon sequestration, and urban heat island mitigation, would add to overall benefits. To achieve these gains, municipalities must also address the actual and perceived risks of increased park use, such as safety concerns (9,12) (eg, crime, vandalism, graffiti, lost persons, inadequately maintained equipment), the risk of injury during physical activity, overexertion (eg, cardiac events, heat stroke, dehydration), allergic reactions (eg, poison ivy and oak, bees), and other concerns, such as increased local traffic. The benefits of physical activity far exceed the risk of musculoskeletal injury or sudden cardiac mortality caused by moderate-intensity activity (3). Creating linkages between health services and parks and building green opportunities into every state and local health prevention strategy is a win–win strategy to promote environmental sustainability and community health. Thinking of our public land as a public health resource offers the potential to develop innovative operating models such as partnerships with health-related business concerns. Could outdoor gear companies share in the cost and revenue of park operations? Could large health insurance payers make financial contributions to parks because of their interest in community-level disease prevention? Could large companies with a demonstrated commitment to employee wellness support park programs to optimize their employees’ health, happiness, and productivity? The opportunity and need exist for communities to become more innovative in park offerings, and partnerships are already forming across the United States (9,12). Parks could position themselves as “green health spaces” and locations for wellness activities and information. This would provide an opportunity for local university students to serve as physical activity ambassadors in parks, much like the successful Health Leads initiative, in which student advocates embedded in clinical settings connect patients with wellness resources (14). At a time when we need creative “upstream” solutions to reduce health care costs and improve the health and resilience of the US population, it seems counterproductive to neglect a widely distributed and affordable health resource, our public green spaces. Instead of park closures, now is the time for park enhancement and the building of partnerships across the park and health sectors. Indeed, the numbers show that an ounce of green prevention could result in many pounds of cure.

As the first step to model emotional state of a person, we build sentiment analysis models with existing deep neural network algorithms and compare the models with psychological measurements to enlighten the relationship. In the experiments, we first examined psychological state of 64 participants and asked them to summarize the story of a book, Chronicle of a Death Foretold (Marquez, 1981). Secondly, we trained models using crawled 365,802 movie review data; then we evaluated participants' summaries using the pretrained model as a concept of transfer learning. With the background that emotion affects on memories, we investigated the relationship between the evaluation score of the summaries from computational models and the examined psychological measurements. The result shows that although CNN performed the best among other deep neural network algorithms (LSTM, GRU), its results are not related to the psychological state. Rather, GRU shows more explainable results depending on the psychological state. The contribution of this paper can be summarized as follows: (1) we enlighten the relationship between computational models and psychological measurements. (2) we suggest this framework as objective methods to evaluate the emotion; the real sentiment analysis of a person.

Prediction rule ensembles (PREs) are a relatively new statistical learning method, which aim to strike a balance between predictive accuracy and interpretability. Starting from a decision tree ensemble, like a boosted tree ensemble or a random forest, PREs retain a small subset of tree nodes in the final predictive model. These nodes can be written as simple rules of the form if [condition] then [prediction]. As a result, PREs are often much less complex than full decision tree ensembles, while they have been found to provide similar predictive accuracy in many situations. The current paper introduces the methodology and shows how PREs can be fitted using the R package pre through several real-data examples from psychological research. The examples also illustrate a number of features of package \textbf{pre} that may be particularly useful for applications in psychology: support for categorical, multivariate and count responses, application of (non-)negativity constraints, inclusion of confirmatory rules and standardized variable importance measures.

When developing devices to encourage positive change in users, social psychology can offer useful conceptual resources. This article outlines three major theories from the discipline and discusses their implications for designing persuasive technologies.

This research paper presents a meta-analysis of the multifaceted role of technology in mental health. The pervasive influence of technology on daily lives necessitates a deep understanding of its impact on mental health services. This study synthesizes literature covering Behavioral Intervention Technologies (BITs), digital mental health interventions during COVID-19, young men's attitudes toward mental health technologies, technology-based interventions for university students, and the applicability of mobile health technologies for individuals with serious mental illnesses. BITs are recognized for their potential to provide evidence-based interventions for mental health conditions, especially anxiety disorders. The COVID-19 pandemic acted as a catalyst for the adoption of digital mental health services, underscoring their crucial role in providing accessible and quality care; however, their efficacy needs to be reinforced by workforce training, high-quality evidence, and digital equity. A nuanced understanding of young men's attitudes toward mental health is imperative for devising effective online services. Technology-based interventions for university students are promising, although variable in effectiveness; their deployment must be evidence-based and tailored to individual needs. Mobile health technologies, particularly activity tracking, hold promise for individuals with serious mental illnesses. Collectively, technology has immense potential to revolutionize mental health care. However, the implementation must be evidence-based, ethical, and equitable, with continued research focusing on experiences across diverse populations, ensuring accessibility and efficacy for all.

Background: A smartphone is a promising tool for daily cardiovascular measurement and mental stress monitoring. A smartphone camera-based PhotoPlethysmoGraphy (PPG) and a low-cost thermal camera can be used to create cheap, convenient and mobile monitoring systems. However, to ensure reliable monitoring results, a person has to remain still for several minutes while a measurement is being taken. This is very cumbersome and makes its use in real-life mobile situations quite impractical. Objective: We propose a system which combines PPG and thermography with the aim of improving cardiovascular signal quality and capturing stress responses quickly. Methods: Using a smartphone camera with a low cost thermal camera added on, we built a novel system which continuously and reliably measures two different types of cardiovascular events: i) blood volume pulse and ii) vasoconstriction/dilation-induced temperature changes of the nose tip. 17 healthy participants, involved in a series of stress-inducing mental workload tasks, measured their physiological responses to stressors over a short window of time (20 seconds) immediately after each task. Participants reported their level of perceived mental stress using a 10-cm Visual Analogue Scale (VAS). We used normalized K-means clustering to reduce interpersonal differences in the self-reported ratings. For the instant stress inference task, we built novel low-level feature sets representing variability of cardiovascular patterns. We then used the automatic feature learning capability of artificial Neural Networks (NN) to improve the mapping between the extracted set of features and the self-reported ratings. We compared our proposed method with existing hand-engineered features-based machine learning methods. Results, Conclusions: ... due to limited space here, we refer to our manuscript.

In a so-called overpopulated world, sustainable consumption is of existential importance.However, the expanding spectrum of product choices and their production complexity challenge consumers to make informed and value-sensitive decisions. Recent approaches based on (personalized) psychological manipulation are often intransparent, potentially privacy-invasive and inconsistent with (informational) self-determination. In contrast, responsible consumption based on informed choices currently requires reasoning to an extent that tends to overwhelm human cognitive capacity. As a result, a collective shift towards sustainable consumption remains a grand challenge. Here we demonstrate a novel personal shopping assistant implemented as a smart phone app that supports a value-sensitive design and leverages sustainability awareness, using experts' knowledge and "wisdom of the crowd" for transparent product information and explainable product ratings. Real-world field experiments in two supermarkets confirm higher sustainability awareness and a bottom-up behavioral shift towards more sustainable consumption. These results encourage novel business models for retailers and producers, ethically aligned with consumer preferences and with higher sustainability.

Tourism has emerged as a significant driver of the global economy. As its economic impact grows, concerns regarding environmental sustainability have intensified. This paper explores the dual dimensions of sustainable tourism: the relationship between tourism supply and sustainability, and tourist demand characteristics. It highlights the critical role of young tourists, who exhibit a heightened awareness of environmental issues and advocate for sustainable practices. By conducting a survey among young Italian university students, the study identifies distinct segments based on family background, political orientation, and travel habits. Utilizing latent class cluster analysis, the findings aim to enhance understanding of pro-environmental behaviors among youth, offering insights for policymakers to foster sustainable tourism practices.

This paper considers the problem of steering the aggregative behavior of a population of noncooperative price-taking agents towards a desired behavior. Different from conventional pricing schemes where the price is fully available for design, we consider the scenario where a system regulator broadcasts a price prediction signal that can be different from the actual price incurred by the agents. The resulting reliability issues are taken into account by including trust dynamics in our model, implying that the agents will not blindly follow the signal sent by the regulator, but rather follow it based on the history of its accuracy, i.e, its deviation from the actual price. We present several nudge mechanisms to generate suitable price prediction signals that are able to steer the aggregative behavior of the agents to stationary as well as temporal desired aggregative behaviors. We provide analytical convergence guarantees for the resulting multi-components models. In particular, we prove that the proposed nudge mechanisms earn and maintain full trust of the agents, and the aggregative behavior converges to the desired one. The analytical results are complemented by a numerical case study of coordinated charging of plug-in electric vehicles.

Pro-environmental behavior (PEB) is vital to combat climate change, yet turning awareness into intention and action remains elusive. We explore large language models (LLMs) as tools to promote PEB, comparing their impact across 3,200 participants: real humans (n=1,200), simulated humans based on actual participant data (n=1,200), and fully synthetic personas (n=1,200). All three participant groups faced personalized or standard chatbots, or static statements, employing four persuasion strategies (moral foundations, future self-continuity, action orientation, or "freestyle" chosen by the LLM). Results reveal a "synthetic persuasion paradox": synthetic and simulated agents significantly affect their post-intervention PEB stance, while human responses barely shift. Simulated participants better approximate human trends but still overestimate effects. This disconnect underscores LLM's potential for pre-evaluating PEB interventions but warns of its limits in predicting real-world behavior. We call for refined synthetic modeling and sustained and extended human trials to align conversational AI's promise with tangible sustainability outcomes.

To understand and begin to address the challenge of air pollution in Europe we conducted participatory research, art and design activities with the residents of one of the areas most affected by smog in Poland. The participatory research events, described in detail in this article, centered around the theme of ecology and served to design an application that would allow us to conduct field research on pro-environmental behaviours at a larger scale. As a result we developed a research application, rooted in local culture and history and place attachment, which makes use of gamification techniques. The application gathers air quality data from the densest network of air pollution sensors in Europe, thereby aligning the visible signs of pollution in the app with the local sensor data. At the same time it reinforces the users' pro-environmental habits and exposes them to educational messages about air quality and the environment. The data gathered with this application will validate the efficacy of this kind of an intervention in addressing residents' smog-causing behaviours.

The integration of electric vehicle (EV) charging with renewable energy sources is crucial for minimizing the carbon footprint of transportation. This study investigates whether real-time pro-environmental information displayed on a smartboard at EV charging stations can influence drivers to align their charging behavior with periods of high renewable energy availability. A pre-post-control quasi-experimental field trial was conducted in a sustainable neighborhood in Ghent, Belgium. A smartboard provided real-time signals indicating optimal charging times based on renewable energy production. The results demonstrate that the presence of real-time pro-environmental information on a smartboard was associated with significant increases in both the number of charging operations and the amount of energy charged during periods of high renewable energy availability. This approach offers a scalable, cost-effective method for optimizing energy consumption and reducing greenhouse gas emissions in residential settings.

Mental fatigue is a leading cause of motor vehicle accidents, medical errors, loss of workplace productivity, and student disengagements in e-learning environment. Development of sensors and systems that can reliably track mental fatigue can prevent accidents, reduce errors, and help increase workplace productivity. This review provides a critical summary of theoretical models of mental fatigue, a description of key enabling sensor technologies, and a systematic review of recent studies using biosensor-based systems for tracking mental fatigue in humans. We conducted a systematic search and review of recent literature which focused on detection and tracking of mental fatigue in humans. The search yielded 57 studies (N=1082), majority of which used electroencephalography (EEG) based sensors for tracking mental fatigue. We found that EEG-based sensors can provide a moderate to good sensitivity for fatigue detection. Notably, we found no incremental benefit of using high-density EEG sensors for application in mental fatigue detection. Given the findings, we provide a critical discussion on the integration of wearable EEG and ambient sensors in the context of achieving real-world monitoring. Future work required to advance and adapt the technologies toward widespread deployment of wearable sensors and systems for fatigue monitoring in semi-autonomous and autonomous industries is examined.

Social isolation is a common problem faced by individuals with serious mental illness (SMI), and current intervention approaches have limited effectiveness. This paper presents a blended intervention approach, called mobile Social Interaction Therapy by Exposure (mSITE), to address social isolation in individuals with serious mental illness. The approach combines brief in-person cognitive-behavioral therapy (CBT) with context-triggered mobile CBT interventions that are personalized using mobile sensing data. Our approach targets social behavior and is the first context-aware intervention for improving social outcomes in serious mental illness.

Mental fatigue increases the risk of operator error in language comprehension tasks. In order to prevent operator performance degradation, we used EEG signals to assess the mental fatigue of operators in human-computer systems. This study presents an experimental design for fatigue detection in language comprehension tasks. We obtained EEG signals from a 14-channel wireless EEG detector in 15 healthy participants. Each participant was given a cognitive test of a language comprehension task, in the form of multiple choice questions, in which pronoun references were selected between nominal and surrogate sentences. In this paper, the 2400 EEG fragments collected are divided into three data sets according to different utilization rates, namely 1200s data set with 50% utilization rate, 1500s data set with 62.5% utilization rate, and 1800s data set with 75% utilization rate. In the aspect of feature extraction, different EEG features were extracted, including time domain features, frequency domain features and entropy features, and the effects of different features and feature combinations on classification accuracy were explored. In terms of classification, we introduced the Convolutional Neural Network (CNN) method as the preferred method, It was compared with Least Squares Support Vector Machines(LSSVM),Support Vector Machines(SVM),Logistic Regression (LR), Random Forest(RF), Naive Bayes (NB), K-Nearest Neighbor (KNN) and Decision Tree(DT).According to the results, the classification accuracy of convolutional neural network (CNN) is higher than that of other classification methods. The classification results show that the classification accuracy of 1200S dataset is higher than the other two datasets. The combination of Frequency and entropy feature and CNN has the highest classification accuracy, which is 85.34%.

Young adults with depression often experience prolonged indoor stays, limiting their access to natural environments and exacerbating mental health challenges. While nature therapy is recognized for its psychological benefits, existing interventions frequently require outdoor engagement, which may not be accessible for all individuals. This study explores the potential of user-led indoor modifications using local natural materials as a mental health intervention. A qualitative approach wasemployedtoassessemotionalandenvironmentalconnectedness.Participants engaged in material exploration, collection, and crafting, integrating natural elements into their living spaces. Findings indicate improved mood,increased environmental awareness,and a stronger sense of agency over personal space. The standardized intervention steps suggest the feasibility of a self-help toolkit, enabling broader implementation. This research contributes to sustainable, user-driven mental health interventions, bridging the gap between nature therapy and practical indoor applications.

The rise of mobile health (mHealth) technologies has enabled real-time monitoring and intervention for mental health conditions using passively sensed smartphone data. Building on these capabilities, Just-in-Time Adaptive Interventions (JITAIs) seek to deliver personalized support at opportune moments, adapting to users' evolving contexts and needs. Although prior research has examined how context affects user responses to generic notifications and general mHealth messages, relatively little work has explored its influence on engagement with actual mental health interventions. Furthermore, while much of the existing research has focused on detecting when users might benefit from an intervention, less attention has been paid to understanding receptivity, i.e., users' willingness and ability to engage with and act upon the intervention. In this study, we investigate user receptivity through two components: acceptance(acknowledging or engaging with a prompt) and feasibility (ability to act given situational constraints). We conducted a two-week in-the-wild study with 70 students using a custom Android app, LogMe, which collected passive sensor data and active context reports to prompt mental health interventions. The adaptive intervention module was built using Thompson Sampling, a reinforcement learning algorithm. We address four research questions relating smartphone features and self-reported contexts to acceptance and feasibility, and examine whether an adaptive reinforcement learning approach can optimize intervention delivery by maximizing a combined receptivity reward. Our results show that several types of passively sensed data significantly influenced user receptivity to interventions. Our findings contribute insights into the design of context-aware, adaptive interventions that are not only timely but also actionable in real-world settings.