Despite the risks associated with generative AI (GenAI) chatbots, people increasingly use these technologies, which may seem contradictory. This study identified and explored factors and risks related to trust, perceived values, satisfaction, and sustainable use of GenAI chatbots. Relying on IS theories to build a stimulus-organism-response model, the authors tested a model using PLS-SEM with data from 393 ChatGPT users. The results show that user competence and autonomy dramatically increase a user's trust in ChatGPT, and trust improves hedonic value (HV), utilitarian value (UV), value-in-use, perceived task-technology fit (TTF), information accuracy, knowledge acquisition, perceived informativeness, and user satisfaction. In addition to trust, user satisfaction depends on HV, UV, and TTF. The sustainability use of ChatGPT depends on HV and satisfaction. However, perceived privacy concerns, perceived privacy risks, and privacy awareness do not affect consumer trust. There is a complete mediation between trust and sustainability, as well as HV and sustainability.

In light of the controversies surrounding COVID-19 vaccines, this study explored vaccine adoption through a theoretical model, focusing on France (n=2001) and South Africa (n=1107). Analysis using structural equation modelling and hierarchical cluster analysis revealed that social influences, personal opinions on vaccines, perceived severity of the pandemic, and perceived benefits of vaccination were primary drivers of adoption in both countries. Belief in conspiracy theories and perceptions of social distancing and stay-at-home measures had no influence on acceptance. Trust significantly influenced adoption intentions only in South Africa. Cluster analysis revealed four distinct opinion groups—“enthusiasts,” “doubters,” “followers,” and “conspirationists”—each preferring different health information sources and technologies, with a common preference for traditional media over social media. These findings have implications for developing targeted health policies, communication, and trust-building strategies.

This paper systematically reviews the literature on the adoption of Blockchain technology in Supply Chain Management (SCM) processes. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) methodology, 53 peer-reviewed research publications from five different databases (IEEE Xplore, Science Direct, Scopus, Google Scholar, and EBSCOhost) were selected and analyzed using a classification coding framework. The findings reveal that Agri-food traceability, Blockchain security, smart contracts, and the Internet of Things (IoT) were the significant identified current trends in the use of Blockchain in SCM processes. The key identified challenges include high costs of transactions and a lack of trust between stakeholders. Identified solutions were Blockchain traceability systems and the use of smart contracts and IoTs. In addition, this paper identified gaps in the literature that need to be addressed in future studies.