Ping-Kuo Chen

This study examines how, after adopting digital twins, manufacturing supply chains shape members' decision reconfiguration to strengthen pollution governance and build sustainable development capability. Survey data were collected from manufacturing supply chains in China, and partial least squares structural equation modeling was used to test a decision transformation framework. The results show that digital twins promote shared situational clarity about pollution and perceived controllability of predictive interventions among supply chain members. These conditions consistently and differentially strengthen Decision Synchronization and anticipation, both directly and indirectly through a Proactive Pollution Intervention Orientation, with perceived controllability exerting a stronger influence on anticipatory decision‐making than on synchronization ( β = 0.318 vs. 0.241). All hypothesized relationships were statistically supported. This is driving governance decisions to shift from fragmented responses toward more centralized patterns and thereby substantially enhancing sustainable pollution governance resilience. This study provides evidence on how digital twins reshape decision‐behavior pathways that advance sustainable pollution governance resilience and offers practical implications for related research.

Purpose: This study aims to examine the behavioral drivers of blockchain adoption to strengthen quality management in smallholder-based supply chains and investigate how collective inertia moderates the translation of behavioral intention into future usage behavior. Design/methodology/approach: A conceptual framework combining unified theory of acceptance and use of technology (UTAUT) constructs with a social-structural moderator derived from diffusion-of-innovation theory (DOI) was tested using survey data from 369 stakeholders in a smallholder-oriented agri-food supply chain. Measurement and structural models were estimated using partial least squares structural equation modeling in SmartPLS 4. Findings: Performance expectancy, effort expectancy, social influence and facilitating conditions each increase behavioral intention to adopt blockchain. Behavioral intention positively predicts future usage behavior, and this link becomes stronger when collective inertia is high, indicating that strong intentions are more likely to be converted into usage when stakeholders closely follow signals from dominant market actors. These results show that intention–behavior conversion is conditioned by the collective decision environment described in DOI. Originality/value: While existing studies emphasize the technical and operational benefits of blockchain in agriculture, little is known about how adoption unfolds in interdependent smallholder systems. By combining UTAUT with diffusion-based insights on opinion leadership, imitation, and collective hesitation, this study provides a more complete explanation of how intention is formed and how it translates into action in supply chains where decisions are socially contingent. The findings extend adoption theory to smallholder-based contexts and offer practical guidance for policymakers and industry leaders promoting blockchain-enabled quality management.

Purpose: This study examines how artificial intelligence-generated content (AIGC)-generated materials enhance the guided-discovery teaching method (GDTM) by fostering psychological responses, such as perceived autonomy and perceived immersion, which drive collaborative knowledge construction and improve the teaching quality of GDTM. It also investigates potential risks, including the persuasive nature of AIGC content and faculty over-reliance, which may negatively affect the GDTM’s teaching quality.Design/methodology/approach: Using PLS-SEM as the primary method, this study analyzes 225 valid responses from Chinese university faculty who utilize AIGC-generated materials to support GDTM implementation, addressing the research purpose and questions.Findings: The analysis revealed that AIGC-generated materials enhance students’ perceived autonomy and immersion, significantly driving their participation in collaborative knowledge construction. This suggests that AIGC-generated materials can foster interactive and active learning environments, effectively supporting GDTM implementation and contributing to high teaching quality. However, the persuasive nature of AIGC acts as a double-edged sword, moderating its impact by amplifying the risk of inaccuracies when polished yet erroneous content misleads educators. This underscores the importance of critical evaluation to balance the benefits of increased engagement with the potential risks to the teaching quality of GDTM.Originality/value: This study moves beyond AIGC’s functional benefits to examine its cognitive and pedagogical impact on GDTM. It fills a research gap by identifying psychological mechanisms and responses in collaborative knowledge construction and systematically assessing AIGC’s benefits and risks. These insights contribute to developing more effective strategies for integrating AIGC into pedagogy, enhancing teaching quality while ensuring its responsible and optimal application. Thus, the findings of this study serve as a foundational basis for developing teaching strategies.

Limited research has addressed the potential of Web 3.0 to facilitate the green supply chain and support sustainable development goals. Although some studies have suggested the efficiency of Web 3.0 in promoting a green supply chain, lack empirical evidence explaining how this efficiency is generated remains scarce. Therefore, the objective of this study is to investigate this matter. By drawing upon relevant literature and leveraging the natural resource‐based view, a conceptual model is constructed and validated using partial least squares structural equation modeling (PLS‐SEM). The analysis reveals that Web 3.0 can foster the formation of consensual thinking through its decentralized mechanism. This, in turn, enables firms to generate perceived value based on the efficiency of consensual thinking, leading to an increased intention to build mutual trust and facilitate green knowledge sharing among firms. Furthermore, the controllability provided by a permissioned mechanism enhances information security, guiding mutual trust among firms to evolve into trustless cooperation. As a result, firms exhibit full trust in each other, facilitating smoother green knowledge sharing. The influence of mutual trust and trustless cooperation in promoting green knowledge sharing contributes to the resilience of the supply chain and ultimately leads to superior green performance, contributing to environmentally sustainable development. This study provides valuable insights into the integration of the green supply chain and Web 3.0, filling a gap in the existing literature.

This study explores how the virtual environment of metaverse generates benefits to drive firms' rational choice in mutual trust building, and further ensures the green knowledge sharing intention maintaining for continuous enhancing supply chain resilience and realizing green performance, further promoting environmentally sustainable development. A conceptual framework is formulated by incorporating the natural resource‐based view, knowledge‐based view, and rational choice theory. This framework is supported and validated using PLS‐SEM. The findings of the analysis reveal that the virtual environment of the metaverse can create a sense of physical proximity, effectively managing communication distance and influencing firms' emotional attitude during interactions. Furthermore, the metaverse facilitates sensory feedback, thereby strengthening emotional expression. Based on these observations, supply chain firms are likely to adopt rational thinking and demonstrate rational behavior, making choices that foster mutual trust. As trust is established, it promotes the sharing of green knowledge, strengthens supply chain resilience, facilitates the achievement of environmentally friendly performance in the green supply chain, and contributes to the sustainable development of the environment. This study makes valuable contributions to the existing literature concerning the integration of green supply chain and the metaverse.