Search Results (2,099)

With the rising urgency of global environmental challenges, understanding the mechanisms behind green consumption has become increasingly vital. This study investigates how green product information disclosure influences consumers’ green consumption intention, focusing on new energy vehicle (NEV) consumers in China. Grounded in the Theory of Planned Behavior (TPB), the study introduces environmental concern as a mediator and brand reputation as a moderator to enhance the explanatory power of the model. A total of 527 valid questionnaires were collected on-site from NEV exhibitions in Beijing. Structural equation modeling and PROCESS macro analysis were employed to test the research hypotheses. The results indicate that environmental information disclosure significantly promotes green consumption intention, both directly and indirectly, through the mediating effects of green consumption attitude, subjective norms, and environmental concern. However, the direct effect of information communication channels was not statistically significant. Moreover, brand reputation positively moderates the relationship between environmental information disclosure and green consumption intention. These findings provide new theoretical insights by extending TPB with contextual and psychological variables and offer practical implications for NEV manufacturers and marketers. Specifically, companies are encouraged to prioritize transparent and credible environmental information disclosure, strengthen brand reputation, and consider consumers’ attitudes and social norms when designing green marketing strategies. Full article

The effectiveness of industrial heritage conservation relies on the collaborative efforts of multiple stakeholders. However, existing research lacks systematic exploration of stakeholders’ perception of heritage value and the pathways through which such perception translates into conservation behaviors. This study takes the Shaanxi section of the Baocheng Railway, a typical linear industrial heritage, as a case study. Based on the “Cognitive Appraisal Theory of Emotions” (CATE) theory, it examines the mechanism between heritage value perception, place identity, and heritage responsibility behavior. Through structural equation modeling (SEM) analysis of 414 questionnaire responses, the study finds that heritage value perception of the Baocheng Railway’s Shaanxi section not only significantly positively influences stakeholders’ place identity but also directly promotes the formation of heritage responsibility behavior. Among these, the perception of social value has the most pronounced impact on place identity and responsibility behavior. Furthermore, place identity plays a key mediating role between value perception and responsibility behavior. This study introduces the CATE theory into industrial heritage research, revealing the mechanism of behavior generation from the path of “cognition → emotion → behavior”. By focusing on linear industrial heritage sites, it broadens the scope of heritage research and highlights the central role of social value perception in driving conservation intentions and behaviors. The study further enriches research on heritage responsibility behavior, and the proposed theoretical model and findings can provide theoretical references for the management and conservation of industrial heritage. Full article

Environmental, social, and governance (ESG) has become a concern for companies, investors, and regulators. Its significance cannot be underestimated, as stakeholders increasingly demand accountability and transparency regarding corporate practices in these areas. Government agencies enforce laws mandating companies adhere to established ESG standards in response. However, despite these regulatory pressures, several obstacles have hindered organizations from effectively implementing sustainability initiatives, often resulting in lackluster outcomes. In this study, we developed a framework to implement ESG principles across various companies, utilizing the critical success factor (CSF) theory. By incorporating the perspectives of stakeholders, we identified the essential elements to achieve ESG. The developed framework in ESG studies employed the hybrid Delphi technique and the analytical hierarchy process (AHP), a structured method for organizing and analyzing complex decisions. Based on the results obtained from targeted questions, variables that influence ESG performance were identified. The effectiveness of different sustainability initiatives was also assessed to understand stakeholder engagement strategies and evaluate the impact of organizational culture on ESG adoption. Full article

This study examines how university students perceive AI-powered tools for mediation in higher education, with a focus on the influence of communication richness and social presence on trust and the intention to use such systems. Although AI is increasingly used in educational settings, its role in handling academic mediation, where ethical sensitivity, empathy, and trust are essential, remains underexplored. To fill this gap, this study presents a model that integrates Media Richness Theory, Social Presence Theory, Technology Acceptance Models, and Trust Theory, incorporating digital fluency and conflict ambiguity as key moderating elements. Using a convergent mixed-methods design, the research involves 287 students from a variety of academic institutions. The quantitative findings indicate that students’ willingness to adopt AI mediation tools is significantly influenced by automation, efficiency, and trust, while their perceptions are shaped by how clearly the conflict is understood and by students’ digital skills. The qualitative insights reveal concerns about emotional responsiveness, transparency, and institutional capacity. According to the results, user trust rooted in perceived presence, fairness, and emotional connection is a central factor in terms of AI acceptance, and emotionally aware, transparent, algorithmic and context-sensitive design strategies should be a system-level priority for institutions when integrating AI mediation tools into academic environments. Full article

As artificial intelligence (AI) becomes increasingly embedded within service-oriented High-Performance Work Systems (HPWSs), understanding its implications for employee well-being and organizational sustainability is critical. This study examines the relationship between AI service quality and job satisfaction, considering the mediating effect of perceived organizational justice and the moderating influence of supervisor support. Drawing on the ISS model, equity, organizational justice, and Leader–Member Exchange (LMX) theory, data were collected from a diverse sample of service sector employees through a cross-sectional design. The findings indicate that higher AI service quality significantly enhances job satisfaction, particularly in environments with strong supervisor support. Contrary to expectations, perceived organizational justice did not mediate the AI-satisfaction link, suggesting that perceived organizational justice constructs may be less influential in AI-mediated contexts. Instead, supervisor support emerged as a key contextual enabler, strengthening employees’ positive perceptions and emotional responses to AI systems. These results emphasize that technological optimization alone is insufficient for building sustainable service workplaces. Effective leadership and human-centered practices remain essential to fostering trust, satisfaction, and long-term engagement in digitally transforming organizations. This study offers practical and theoretical insights into integrating AI and human resource strategies in support of socially sustainable service systems. Full article

This study explores how Instagram fashion influencers build brand loyalty through customer engagement within the framework of sustainable consumption. Grounded in the stimulus–organism–response (SOR) theory, influencer marketing is conceptualized as a stimulus that activates customer engagement (organism), which in turn enhances brand loyalty (response). A cross-sectional survey was conducted with 279 Instagram users in Palestine who actively follow fashion influencers, and the model was tested using partial least squares structural equation modeling (PLS-SEM). The findings confirm that social media influencer marketing (SMIM) significantly improves both engagement and loyalty. Customer engagement was found to be both a partial mediator and a significant moderator, such that highly engaged consumers exhibited stronger loyalty responses—suggesting intensified value alignment and emotional resonance in sustainability contexts. This study extends the prior literature by integrating the creation–consumption–contribution (C–C–C) model into the SOR framework and conceptualizing engagement as both a psychological state and a boundary condition. It contributes to sustainable consumption research by illustrating how participatory digital behaviors can foster ethical brand relationships, particularly in emerging economies. Practically, it offers strategic guidance for fashion brands and influencers to design campaigns that promote co-creation, authenticity, and eco-conscious narratives. It also emphasizes the importance of aligning influencer values with those of sustainability-minded consumers to foster long-term loyalty. By contextualizing the findings within the Palestinian market, the study highlights how cultural factors may shape engagement and sustainability perceptions, paving the way for future cross-cultural investigations. Full article

Artificial intelligence (AI) is reshaping customer service, with AI-powered chatbots serving as a critical component in delivering continuous support across sales, marketing, and service domains, thereby enhancing operational efficiency. However, consumer engagement remains suboptimal, as many users favor human interaction due to concerns regarding chatbots’ ability to address complex issues and their perceived lack of empathy, which subsequently reduces satisfaction and sustainable usage. This study examines the determinants of user attitude and identifies factors influencing sustainable chatbot use. Utilizing survey data from 735 Chinese university students who have engaged with AI-powered chatbots, the analysis reveals that four key motivational categories: utilitarian (information acquisition), hedonic (enjoyment and time passing), technology (media appeal), and social (social presence and interaction) significantly influence user attitude toward chatbot services. Conversely, privacy invasion exerts a negative impact on user attitude, suggesting that while chatbots provide certain benefits, privacy issues can significantly undermine user satisfaction. Moreover, the findings suggest that user attitude serves as a pivotal determinant in fostering both user stickiness and sustainable usage of chatbot services. This study advances prior U&G-, TAM-, and ECM-based research by applying these frameworks to AI-powered chatbots in business communication, refining the U&G model with four specific motivations, integrating perceived privacy invasion to bridge gratification theory with risk perception, and directly linking user motivations to business outcomes such as attitude and stickiness. This study underscores that optimizing chatbot functionalities to enhance user gratification while mitigating privacy risks can substantially improve user satisfaction and stickiness, offering valuable implications for businesses aiming to enhance customer loyalty through AI-powered services. Full article

In today’s service-driven economy, brands increasingly turn to social media marketing activities (SMMA) to build meaningful, long-term customer relationships. Grounded in social exchange theory (SET), this study examines how SMMA influences customer engagement (CE), relational benefits (confidence, social, and special treatment), and ultimately relationship equity—offering new insights for trust-based services, such as banking. SET provides a powerful lens to explain how perceived value in brand-initiated exchanges drives customer reciprocity. A between-subjects experimental design (n = 298) was employed using real social media ads from a bank to enhance ecological validity. Participants were randomly assigned to ad exposure or control conditions, and data were analyzed using PLS-SEM. Results show that SMMA significantly enhances CE and relational benefits. In turn, CE, along with confidence and social benefits, contributes to relationship equity. Special treatment benefits, however, had no significant effect. Ad exposure amplified the impact of SMMA on CE and relationship outcomes. Theoretically, this study advances SET by revealing how digital brand interactions translate into lasting customer bonds. Practically, the findings indicate that banks should prioritize SMMA for increased CE and relational benefits. When combined with targeted advertising efforts, this can significantly improve relationship equity. Full article

This study, based on the Decomposed Theory of Planned Behavior (DTPB), constructs and validates a systematic model to explore the key drivers influencing consumers’ continuous usage intention of sustainable Ready-to-Drink (RTD) beverage packaging. The model includes perceived value and social normative paths, introducing perceived sustainability (PS) and perceived value fit (PVF) as moderators to reveal the role of contextual perceptions in green consumption decision-making. Empirical results show that all conventional path hypotheses (H1–H6) are supported. Among the moderating effect hypotheses, H7b, H9a, and H10c are not supported, while the rest hold. Theoretical implications include the following: Perceived Usefulness (PU) and Perceived Enjoyment (PE) significantly and positively influence consumer satisfaction (SA), consistent with the Expectation Confirmation Model (ECM). Both external influence (EI) and interpersonal influence (II) significantly enhance subjective norms (SN), aligning with TPB theory. Self-efficacy (SE) and facilitating conditions (FA) positively affect perceived behavioral control (PBC), consistent with the DTPB model. Satisfaction, subjective norms, and perceived behavioral control significantly predict continuous usage intention (UI), with satisfaction showing the strongest effect, highlighting the importance of positive initial experiences for green behavior continuation. Full article

Generative artificial intelligence (GenAI) is advancing rapidly and is increasingly integrated into educational settings. How to effectively leverage GenAI to support instructional design has thus become a critical issue in teacher education. While existing studies have validated the technical potential and functional value of GenAI in instructional design, there remains a notable gap in qualitative investigations into pre-service teachers’ subjective willingness to adopt GenAI and its underlying influencing factors. To address this gap, this present study employed grounded theory to explore the factors that shape pre-service teachers’ intention to use GenAI for instructional design. Semi-structured interviews were conducted with 23 pre-service teachers from Shaanxi Normal University, and the data were analyzed through open coding, axial coding, and selective coding. A theoretical model comprising four major dimensions was developed as follows: (1) technical factors (relative advantage and ease of use), (2) environmental factors (social impact, opinion leader, and facilitating conditions), (3) usage characteristics (purpose of use and method of use), and (4) psychological factors (trust, perceived risk, and a professional self-concept). The findings reveal that pre-service teachers’ intention to use GenAI is not shaped by a single factor but is instead the result of dynamic and interrelated interactions among the four dimensions. This study extends current technology acceptance theories and offers practical insights for the effective integration and promotion of GenAI in instructional design. Full article

Background/Objectives: Leadership in physical education plays a critical role in the holistic development of students, influencing variables such as satisfaction, group cohesion, and performance. Despite the abundance of cross-sectional studies, there is a paucity of longitudinal evidence exploring the temporal stability of these perceptions in adolescent populations, which limits the current understanding of leadership development in educational settings. This longitudinal study investigates how secondary and high school students perceive and prefer different leadership styles in PE and how these relate to gender, academic level, and sport participation, grounded in the multidimensional leadership model. The analysis is further contextualized by recent research emphasizing adaptive, evidence-based pedagogical approaches in physical education, the influence of competitive environments on leadership expectations, and the role of emotional support in training contexts. Methods: Using validated questionnaires (LSS-1 and LSS-2), five dimensions were assessed: Training and Instruction, democratic behavior, autocratic behavior, Social Support, and positive feedback, considering variables such as gender, academic level, and extracurricular sport participation. Data were collected at two time points over a 12-month interval, enabling the identification of temporal patterns in students’ perceptions and preferences. Sampling procedures were clearly defined to enhance transparency and potential replicability, and the choice of a convenience sample from two private schools was justified by accessibility and continuity in longitudinal tracking. Although no a priori power analysis was conducted, the sample size (n = 370) was deemed adequate for the non-parametric analyses employed, with an estimated statistical power ≥ 0.80 for medium effect sizes (Cohen’s d = 0.3–0.5). Results: The results revealed a marked preference for leadership styles emphasizing social support and positive feedback, particularly among students engaged in sports. Statistically significant differences (p < 0.05) were identified based on gender and academic maturity, with female students favoring democratic behavior and students in the fourth year of compulsory secondary education showing a stronger inclination toward styles prioritizing emotional support. Trends toward statistical significance (p < 0.10) were also reported, following precedents in the sport psychology and sport sciences literature, as they provide potentially relevant indications for future research directions. The congruence between perceived and preferred leadership emerged as a key factor in student satisfaction, confirming that adaptive leadership enhances students’ learning experiences and overall well-being. However, this satisfaction was inferred from congruence measures, rather than directly assessed, representing a key methodological limitation. Conclusions: This study underscores the importance of physical education teachers tailoring their leadership styles to the individual and group characteristics of their students. The findings align with methodological approaches used in preference hierarchy analyses in sport contexts and support calls for individualized pedagogical strategies observed in sports medicine and training research. By providing longitudinal evidence on leadership perception stability and integrating recent cross-disciplinary findings, the study makes an original contribution to bridging the gap between educational theory and practice. The results address a gap in the literature concerning the temporal stability of leadership perceptions among adolescents, offering a theoretically grounded basis for future research and the design of pedagogical innovations in PE. Full article

Environmental, Social, and Governance (ESG) performance has emerged as a critical indicator of corporate legitimacy, resilience, and long-term value. However, translating ESG strategic intent into tangible results remains a pressing theoretical and managerial challenge. This paper introduces an integrated framework elucidating the pathways through which Corporate Citizenship (CC), understood as a participatory, relational evolution of Corporate Social Responsibility (CSR), influences ESG outcomes at the employee level. Drawing on both Social Exchange Theory (SET) and Social Identity Theory (SIT), the model explains how reciprocal obligations and identity-based alignment jointly influence employees’ discretionary behaviors. Perceived Organizational Support (POS) is introduced as a moderating factor that shapes the strength of the CC–OCB pathway. This study contributes to the micro-foundations of ESG by illuminating how individual discretionary behaviors mediate and condition the impact of strategic corporate citizenship initiatives. By advancing a dual-theoretical, micro-foundational approach, the framework moves beyond reputational CSR models and provides a testable, behaviorally anchored account of ESG implementation. Practical implications are offered for organizations seeking to cultivate trust-based cultures that align employee engagement with sustainable performance. Full article

Grounded in Social Exchange Theory (SET) and Conservation of Resources (COR) theory, this study tests the influence of job insecurity (JI) on organisational, particularly hotel, performance (OP) via the adoption of anti-social behaviour (ACB). To this end, responses were collected from 429 employees working in three renowned five-star hotels in Hammamet, Tunisia. By analysing the data with AMOS (v.25), we found that the research hypotheses were confirmed. The results showed, on one hand, that JI significantly and negatively affects OP and, on the other hand, significantly and positively affects ACB, which, in turn, significantly and negatively affects OP. Additionally, the link between JI and OP became insignificant post the initiation of ACB as a mediator. As a result, we found that ACB fully mediates the link between JI and OP. This undoubtedly shows that when employees experience JI, they adopt ACB to restore equilibrium, with adverse consequences for hotel performance. In addition to the theoretical implications, managerial recommendations for practitioners are presented. Full article

This study explores how intersecting disabilities and ethnic identities influence key career-related factors, including career decision self-efficacy, career outcome expectations, perceived career barriers, and social support, among college students with disabilities from diverse racial and ethnic backgrounds. Background/Objectives: Applying social cognitive career theory (SCCT) and intersectionality frameworks, this research addresses a critical gap in understanding the unique challenges and strengths experienced by underrepresented students with disabilities in postsecondary education. Method: Quantitative data were collected from approximately 306 participants representing various ethnic groups, including African American, Asian American, Hispanic, and other ethnic backgrounds, alongside European American peers. Results: Findings revealed that underrepresented students with disabilities reported significantly stronger ethnic identity affirmation but also perceived greater career-related barriers compared to their European American counterparts. These results demonstrate the need for culturally responsive career development practices and inclusive campus environments that affirm students’ multiple identities. Conclusions: Implications are discussed for higher education professionals, rehabilitation counselors, disability service providers, and career counselors seeking to promote equitable career outcomes and identity-conscious support systems. Full article

Against the backdrop of the low-altitude economy, with the widespread application of drones in sports scenarios, the driving mechanism of users’ long-term usage intention has become a key issue in technology adoption research. To investigate the critical factors influencing the continuous use of drone products by sports-involved populations, this study builds a factor model for users’ continuous use of drones. It is based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, integrating the UTAUT2 model and specific user needs in sports scenarios. Both traditional structural equation modeling (SEM) and Bayesian structural equation modeling (BSEM) are employed for empirical testing. Through the analysis of 297 valid questionnaire responses, it is found that the Bayesian approach yields a better fit. Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Safety and Environmental Compatibility all exert significant positive impacts on users’ continuous usage intention, with Effort Expectancy having the most prominent influence. On this basis, service strategies for drone brands are proposed to support product design and service provision. This study preliminarily indicates that Bayesian analysis possesses advantages and potential in this field. Meanwhile, the factor model for users’ long-term drone usage can meet the development needs in sports scenarios, and it has strong feasibility as a design model for users’ long-term drone usage. Full article