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Although the role of blockchain technology application in the organic food supply chain has been scholarly acknowledged, our understanding of how blockchain-enabled food traceability impacts consumer trust and purchase decisions is still limited. Adopting the lens from the stimulus-organism-response theory, this research draws a moderated mediation model to explore the direct and indirect impacts of blockchain-enabled food traceability system on organic food purchase behavior underlying a moderated mediation mechanism of blockchain knowledge and trust in the organic food chain. The PROCESS macro was approached using a purposive sample of 5,326 consumers in Vietnam to test the formulated hypotheses. The findings reveal that blockchain-enabled traceability significantly enhances trust in the organic food chain, which in turn positively influences organic food purchase behavior. Additionally, the study identifies blockchain knowledge as a crucial moderating factor, amplifying the direct and indirect effects of the traceability system on trust and purchase behavior. The study offers significant contributions to the literature by extending the application of the SOR model to technology-mediated environments and highlighting the role of consumer knowledge in moderating technology adoption outcomes. Some practical implications for practitioners are discussed.

The limited understanding of the detrimental repercussions stemming from the adoption of artificial intelligence, exemplified by ChatGPT, on users' mental health issues underscores the urgency of our current research endeavor. In response to this knowledge gap, our study employs the stimulus-organism-response (SOR) framework and implements a serial mediation model to probe into the impacts of compulsive ChatGPT usage on users' mental health outcomes. This model serves as a powerful analytical lens, allowing us to unravel the relationships between the stimulus (compulsive ChatGPT usage), organism (anxiety and burnout), and response (sleep disturbance). Using a cross-sectional survey design, we collected data from 2602 ChatGPT users in Vietnam via purposive sampling and utilized structural equation modeling to assess the hypothesis model. The findings confirm that compulsive ChatGPT usage directly correlates with heightened anxiety, burnout, and sleep disturbance. Moreover, compulsive usage indirectly contributes to sleep disturbance through anxiety and burnout, demonstrating a significant serial mediation effect. This expanded understanding, derived from a sizable and diverse user base, positions our research at the forefront of unraveling the intricate dynamics between AI adoption and mental well-being.

The objective of this study was to describe the overall pattern of morbidity and mortality of children seen at the Thai Binh Paediatric Hospital in Vietnam, with a focus on infectious diseases. A retrospective review of hospitalisation records was conducted from 1 January 2015 to 31 December 2019. Data were obtained from a total of 113,999 records. The median age of patients was 18 months, with 84.0% of patients aged