ChatGPT can revolutionize education by enhancing student engagement and making learning more personalized. Drawing on UTAUT2, this study investigated determinants of intention to use ChatGPT for educational purposes. Data were gathered from 406 Malaysian students and analyzed using a hybrid approach including “partial least squares” (PLS) and “fuzzy-set qualitative comparative analysis” (fsQCA). PLS showed that performance expectancy, effort expectancy, hedonic motivation, and learning value significantly influence the intention to use ChatGPT. Furthermore, we found that personal innovativeness and information accuracy negatively moderate the associations between ChatGPT use and its determinants. While PLS demonstrated that social influence, facilitating conditions, and habit do not affect ChatGPT use, fsQCA revealed that all factors might affect the intention to use ChatGPT. fsQCA suggested that eight combinations of factors may lead to high ChatGPT use. The results hold various implications for ChatGPT developers, instructors, and universities and provide insights for accelerating ChatGPT adoption.

Recent advancements in smartwatch technology have led to several applications in continuous fitness and health monitoring. Considering the benefits of smartwatches, their low level of usage for fitness and health monitoring purposes, and the limited understanding of determinants of their usage, this study advances the body of knowledge by developing an innovative and comprehensive research model that integrates the extended unified theory of acceptance and use of technology (UTAUT2) with perceived vulnerability and perceived severity as moderators. The model was tested using partial least squares (PLS), in a quantitative study with data from 271 respondents from Malaysia. The results showed that performance expectancy, effort expectancy, facilitating conditions and hedonic motivation have positive impacts on behavioural intentions towards using smartwatches for health and fitness monitoring. Perceived vulnerability moderates positively the impacts of effort expectancy. Perceived abstract severity moderates positively the impacts of social influence and negatively the influence of hedonic motivation. The findings provide useful insights for smartwatch technology developers, marketers and managers in developing more effective devices and strategies and consequently promoting smartwatches as health monitoring devices. These outcomes extend the UTAUT2 and provide new insights into drivers of the use of smartwatches for fitness and health monitoring.

The purpose of this study was to test the indirect effect of Facebook addiction on performance through physical and social health. Furthermore, the moderating effect of psychological well-being on the relationships between personality traits and Facebook addiction was investigated. Data were collected from 301 Malaysians via an online survey. The data were analysed using the partial least squares technique. The results showed that the Big Five personality dimensions of conscientiousness, openness to experience, extraversion, and neuroticism are significantly related to Facebook addiction. Our results confirmed the significant effects of Facebook addiction on performance and on physical and social health and also the mediating role of physical health in the relationship between Facebook addiction and performance. Furthermore, our results revealed that psychological well-being moderates the effects of certain personality dimensions on Facebook addiction. The implications of these findings are discussed, and directions for future research are offered.