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Against the backdrop of rapid advancements in generative artificial intelligence (GenAI), ChatGPT has emerged as a representative application, drawing significant research interest in user behavior patterns. This study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) Model to investigate the key factors influencing the adoption of ChatGPT among users in Taiwan. Using a cross-sectional survey approach, we recruited a sample of 454 Taiwanese ChatGPT users through social media and online forums. The study analyzed the impact of four key constructs—performance expectancy, effort expectancy, social influence, and facilitating conditions—on behavioral intention and actual usage behavior. The results indicated that performance expectancy and effort expectancy play pivotal roles in shaping behavioral intention, while facilitating conditions significantly affect actual usage behavior. Furthermore, cultural background exerts a critical moderating effect on the influence of social factors. These findings highlight the unique characteristics of user behavior in Taiwan, provide practical insights for optimizing the design and promotion of GenAI tools, and offer valuable implications for technology adoption policies.

This study examines the relationship between technical readiness (TR) and the Unified Theory of Acceptance and Use of Technology (UTAUT) within the framework of Over-the-Top (OTT) media services, particularly Netflix. The study employs the UTAUT model and integrates the TR model's external factors of "optimism," "innovativeness," "inadaptability," and "insecurity" to examine their moderating influences on customer utilisation of Netflix. In 2024, 475 questionnaires were disseminated in this study, of which 453 were considered valid. The study revealed that customer trust in relationships significantly influences user involvement in 'Performance Expectancy' (PE), 'Effort Expectancy' (EE), 'Social Influence' (SI), and 'Facilitating Conditions' (FC). Furthermore, consumers' intention to interact with Netflix's 'Performance Expectancy' (PE), 'Effort Expectancy' (EE), and 'Social Influence' (SI) considerably and positively affects their behaviour. The research employed hierarchical regression analysis to assess the impact of customer willingness to "Intention to Use" on the UTAUT regarding Netflix consumption. The findings indicate that the Trustworthiness Rating of consumers substantially affects the UTAUT dimensions of Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. Moreover, consumers' inclination to use Netflix is positively influenced by the constructs of Performance Expectancy, Effort Expectancy, and Social Influence. The results demonstrate that consumers' Trustworthiness Rating substantially influences the UTAUT aspects of Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. Moreover, the constructs of performance expectancy, effort expectancy, and social influence positively affect customers' inclination to utilise Netflix. The results of this study may inform strategic approaches to improve user engagement and satisfaction in the competitive OTT market.

This study investigates the effects of perceived ease of use (PEU), perceived usefulness (PU), and trust (TR) on behavioral intention (BI) toward adopting multimodal explainable artificial intelligence systems in long-term care institutions. Specifically, it examines the mediating role of PU in the relationship between PEU and BI and further analyzes how TR moderates the relationships of PEU and PU with BI. Data were collected through an online questionnaire administered to nurses, care attendants, and administrators working in long-term care facilities in Taiwan. A total of 150 questionnaires were distributed, and 125 valid responses were obtained, yielding an effective response rate of 84%. ncluded a clear, non-technical explanation of what a multimodal explainable AI system is, to help readers who are not AI specialists better understand the core conce. The empirical results indicate that PU, PEU, and TR all have significant positive effects on BI. Moreover, PU partially mediates the relationship between PEU and BI, while the interaction terms TR×PEU and TR×PU significantly moderate BI: when trust is high, the effect of PU on BI is strengthened, whereas the effect of PEU on BI is weakened. These findings suggest that, in high-trust settings, long-term care professionals are more willing to tolerate system complexity if the system is clearly useful. Based on these results, the study offers managerial and policy implications for integrating smart technologies into Taiwan’s long-term care sector, emphasizing the importance of usefulness, usability, and trust in enhancing technology adoption. This research extends the Technology Acceptance Model by integrating trust, providing new insights for digital transformation in long-term care

Interactive technology has increasingly gained attention from both consumers and retailers, reshaping the shopping experience. Among these technologies, augmented reality (AR) has emerged as a powerful tool that enables businesses to engage customers in distinctive and immersive ways. Although several leading companies have developed dedicated AR applications or integrated AR features into existing apps, limited research has explored how AR in mobile shopping apps influences consumer attitudes and shopping intentions. This study examines the effects of utilitarian value (UV), hedonic value (HV), and symbolic value (SV) of AR on customer attitudes and intentions to shop via mobile applications. Based on empirical data from 389 respondents, the results reveal that UV, HV, and SV positively influence attitudes toward mobile app shopping. However, only HV and SV significantly impact shopping intention. Additionally, attitude mediates the relationship between the perceived values of AR and the intention to shop. These findings contribute to the understanding of AR’s role in mobile commerce and offer practical insights for retailers, managers, and AR designers aiming to enhance the customer experience through in-app AR features.

This study examines the factors influencing continuance usage intentions in Vietnam’s online food delivery (OFD) market, using the Unified Theory of Acceptance and Use of Technology (UTAUT) with health consciousness as a moderator. The research identifies that performance expectancy, social influence, and facilitating conditions are significant determinants of continuance usage intentions, whereas effort expectancy shows a minor role. The analysis highlights health consciousness’s critical role in moderating the effects of PE and SI on usage intentions, revealing that a higher level of health awareness leads to more stringent evaluations of OFD services. These insights suggest that OFD service adoption in Vietnam is greatly influenced by how well services align with health-centric consumer preferences. The findings advocate for OFD platforms to adapt their strategies to meet the health-oriented demands of the market, emphasizing quality and transparency. This research contributes to understanding technology acceptance by highlighting the complex relationship between traditional service evaluation metrics and individual health values in influencing consumer behavior in a rapidly digitizing economy.

This study investigates the effects of perceived ease of use (PEU), perceived usefulness (PU), and trust (TR) on behavioral intention (BI) toward adopting multimodal explainable artificial intelligence systems in long-term care institutions. Specifically, it examines the mediating role of PU in the relationship between PEU and BI and further analyzes how TR moderates the relationships of PEU and PU with BI. Data were collected through an online questionnaire administered to nurses, care attendants, and administrators working in long-term care facilities in Taiwan. A total of 150 questionnaires were distributed, and 125 valid responses were obtained, yielding an effective response rate of 84%. ncluded a clear, non-technical explanation of what a multimodal explainable AI system is, to help readers who are not AI specialists better understand the core conce. The empirical results indicate that PU, PEU, and TR all have significant positive effects on BI. Moreover, PU partially mediates the relationship between PEU and BI, while the interaction terms TR×PEU and TR×PU significantly moderate BI: when trust is high, the effect of PU on BI is strengthened, whereas the effect of PEU on BI is weakened. These findings suggest that, in high-trust settings, long-term care professionals are more willing to tolerate system complexity if the system is clearly useful. Based on these results, the study offers managerial and policy implications for integrating smart technologies into Taiwan’s long-term care sector, emphasizing the importance of usefulness, usability, and trust in enhancing technology adoption. This research extends the Technology Acceptance Model by integrating trust, providing new insights for digital transformation in long-term care

Interactive technology has increasingly gained attention from both consumers and retailers, reshaping the shopping experience. Among these technologies, augmented reality (AR) has emerged as a powerful tool that enables businesses to engage customers in distinctive and immersive ways. Although several leading companies have developed dedicated AR applications or integrated AR features into existing apps, limited research has explored how AR in mobile shopping apps influences consumer attitudes and shopping intentions. This study examines the effects of utilitarian value (UV), hedonic value (HV), and symbolic value (SV) of AR on customer attitudes and intentions to shop via mobile applications. Based on empirical data from 389 respondents, the results reveal that UV, HV, and SV positively influence attitudes toward mobile app shopping. However, only HV and SV significantly impact shopping intention. Additionally, attitude mediates the relationship between the perceived values of AR and the intention to shop. These findings contribute to the understanding of AR’s role in mobile commerce and offer practical insights for retailers, managers, and AR designers aiming to enhance the customer experience through in-app AR features.

Against the backdrop of rapid advancements in generative artificial intelligence (GenAI), ChatGPT has emerged as a representative application, drawing significant research interest in user behavior patterns. This study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) Model to investigate the key factors influencing the adoption of ChatGPT among users in Taiwan. Using a cross-sectional survey approach, we recruited a sample of 454 Taiwanese ChatGPT users through social media and online forums. The study analyzed the impact of four key constructs—performance expectancy, effort expectancy, social influence, and facilitating conditions—on behavioral intention and actual usage behavior. The results indicated that performance expectancy and effort expectancy play pivotal roles in shaping behavioral intention, while facilitating conditions significantly affect actual usage behavior. Furthermore, cultural background exerts a critical moderating effect on the influence of social factors. These findings highlight the unique characteristics of user behavior in Taiwan, provide practical insights for optimizing the design and promotion of GenAI tools, and offer valuable implications for technology adoption policies.

This study examines the relationship between technical readiness (TR) and the Unified Theory of Acceptance and Use of Technology (UTAUT) within the framework of Over-the-Top (OTT) media services, particularly Netflix. The study employs the UTAUT model and integrates the TR model's external factors of "optimism," "innovativeness," "inadaptability," and "insecurity" to examine their moderating influences on customer utilisation of Netflix. In 2024, 475 questionnaires were disseminated in this study, of which 453 were considered valid. The study revealed that customer trust in relationships significantly influences user involvement in 'Performance Expectancy' (PE), 'Effort Expectancy' (EE), 'Social Influence' (SI), and 'Facilitating Conditions' (FC). Furthermore, consumers' intention to interact with Netflix's 'Performance Expectancy' (PE), 'Effort Expectancy' (EE), and 'Social Influence' (SI) considerably and positively affects their behaviour. The research employed hierarchical regression analysis to assess the impact of customer willingness to "Intention to Use" on the UTAUT regarding Netflix consumption. The findings indicate that the Trustworthiness Rating of consumers substantially affects the UTAUT dimensions of Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. Moreover, consumers' inclination to use Netflix is positively influenced by the constructs of Performance Expectancy, Effort Expectancy, and Social Influence. The results demonstrate that consumers' Trustworthiness Rating substantially influences the UTAUT aspects of Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. Moreover, the constructs of performance expectancy, effort expectancy, and social influence positively affect customers' inclination to utilise Netflix. The results of this study may inform strategic approaches to improve user engagement and satisfaction in the competitive OTT market.

This study examines the factors influencing continuance usage intentions in Vietnam’s online food delivery (OFD) market, using the Unified Theory of Acceptance and Use of Technology (UTAUT) with health consciousness as a moderator. The research identifies that performance expectancy, social influence, and facilitating conditions are significant determinants of continuance usage intentions, whereas effort expectancy shows a minor role. The analysis highlights health consciousness’s critical role in moderating the effects of PE and SI on usage intentions, revealing that a higher level of health awareness leads to more stringent evaluations of OFD services. These insights suggest that OFD service adoption in Vietnam is greatly influenced by how well services align with health-centric consumer preferences. The findings advocate for OFD platforms to adapt their strategies to meet the health-oriented demands of the market, emphasizing quality and transparency. This research contributes to understanding technology acceptance by highlighting the complex relationship between traditional service evaluation metrics and individual health values in influencing consumer behavior in a rapidly digitizing economy.