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This study investigates the influence of ChatGPT, a generative AI tool, on the entrepreneurial intentions of final-year university students in Zambia. Grounded in the technology acceptance model (TAM) and theory of planned behaviour (TPB), the research examines how perceived ease of use (PEOU) and perceived usefulness (PU) of ChatGPT influence attitudes towards entrepreneurship (ATE), subjective norms (SN), and perceived behavioural control (PBC), which in turn shape entrepreneurial intentions (EIs). A cross-sectional survey was conducted with 403 students, and data were analysed using structural equation modelling (SEM). The findings reveal that PEOU significantly affects ATE and SN, while PU does not significantly influence any TPB constructs. All TPB constructs (ATE, SN, and PBC) positively predict EIs, with PBC emerging as the strongest predictor. The results suggest that ChatGPT indirectly influences entrepreneurial intentions through cognitive pathways, particularly by shaping attitudes and social norms. The study contributes to the growing literature on digital entrepreneurship and AI adoption, highlighting the importance of ease of use in fostering entrepreneurial cognition. Practical implications for educators, AI developers, and policymakers are discussed, emphasising the need to integrate user-friendly AI tools into entrepreneurship education and support systems. Limitations and future research directions are outlined, calling for longitudinal and qualitative studies further to unpack the complex relationship between AI and entrepreneurial behaviour.

E-learning has gained recognition and fame in delivering and distributing educational resources, and the same has become possible with the occurrence of Internet and Web technologies. The research seeks to determine the factors that influence students' acceptance of E-learning and to find out the way these factors determine the students' intention to employ E-learning. A theoretical framework was developed based on the technology acceptance model (TAM). To obtain information from the 270 university students who utilized the E-learning system, a questionnaire was formulated. The results revealed that “social influence, perceived enjoyment, self-efficacy, perceived usefulness, and perceived ease of use” are the strongest and most important predictors in the intention of and students towards E-learning systems. The outcomes offer practical implications for practitioners, lawmakers, and developers in effective E-learning systems implementation to improve ongoing interests and activities of university students in a virtual E-learning atmosphere, valuable recommendations for E-learning practices are given by the research findings, and these may turn out to be as guidelines for the efficient design of E-learning systems.

Personal health records (PHR) systems are designed to ensure that individuals have access and control over their health information and to support them in being active participants rather than passive ones in their healthcare process. Yet, PHR systems have not yet been widely adopted or used by consumers despite their benefits. For these advantages to be realized, adoption of the system is necessary. In this study, we examined how self-determination of health management influences individuals’ intention to implement a PHR system, i.e., their ability to actively manage their health. Using an extended technology acceptance model (TAM), the researchers developed and empirically tested a model explaining public adoption of PHRs. In total, 389 Saudi Arabian respondents were surveyed in a quantitative cross-sectional design. The hypotheses were analysed using structural equation modelling–partial least squares (SEM-PLS4). Results indicate that PHR system usage was influenced by three major factors: perceived ease of use (PEOU), perceived usefulness (PU), and security towards intention to use. PHR PEOU and PHR intention to use were also found to be moderated by privacy, whereas usability positively moderated PHR PEOU and PHR intention to use and negatively moderated PHR PU and PHR intention to use. For the first time, this study examined the use of personal health records in Saudi Arabia, including the extension of the TAM model as well as development of a context-driven model that examines the relationship between privacy, security, usability, and the use of PHRs. Furthermore, this study fills a gap in the literature regarding the moderating effects of privacy influence on PEOU and intention to use. Further, the moderating effects of usability on the relationship between PEOU, PU, and intention to use. Study findings are expected to assist government agencies, health policymakers, and health organizations around the world, including Saudi Arabia, in understanding the adoption of personal health records.

This study explored the effect of perceived usefulness, perceived ease of use, social influence, facilitating condition, lifestyle compatibility, and perceived trust on both the intention to use an e-wallet and the adoption of an e-wallet among adults by using the unified theory of acceptance and use of technology (UTAUT). This quantitative study adopted a cross-sectional research design to gather data from 501 respondents using a Google Form. The collected data were analyzed using partial least square structural equation modelling (PLS-SEM). As a result, perceived usefulness, perceived ease of use, social influence, lifestyle compatibility, and perceived trust displayed a significant positive effect on both intentions to use an e-wallet and adoption of an e-wallet. This study evidenced the mediating effect of the intention to use an e-wallet on the correlations between the predictors and adoption of an e-wallet. Both the age and gender of the respondents moderated the effect of lifestyle compatibility on intention to use an e-wallet. The study outcomes serve to inform managers and policy makers to devise effective strategies that capture consumers’ intention to use and experience of using an e-wallet in the midst of a turbulent market. Ultimately, such carefully sculpted policies may promote the digital platform and web-based application, apart from encouraging higher rates of e-wallet adoption in developing countries.

Introduction/Main Objectives: Customer trust is critical in ensuring the successful implementation of chatbots. Building trust is essential to ensure that users feel confident in using chatbot across various contexts, including customer service. Background Problems: Despite its importance, there is limited understanding of how specific chatbot features influence customer trust, especially within the Indonesian context. Novelty: Drawing principally on the Technology Acceptance Model (TAM), this empirical study develops and tests a model that incorporates anthropomorphism, the attribution of human-like qualities, to provide a more comprehensive explanation of customer trust.  Research Methods: This study utilizes quantitative analysis of data gathered from 368 customers to examine the relationships between perceived usefulness, ease of use, anthropomorphism, and trust. A structured survey was administered, and statistical techniques were employed to validate the proposed model and determine the significance of each factor. Finding/Results: The analysis reveals that perceived usefulness, ease of use, and anthropomorphism are all significant predictors of trust in chatbots. Among these, ease of use emerges as the most influential factor, emphasizing its pivotal role in fostering trust. Conclusion: This study provides practical guidance for managers and developers aiming to design trust-enhancing chatbots. Key strategies include integrating human-like features, focusing on usability, and highlighting the practical benefits offered by chatbots. These approaches can improve customer engagement, enhance interaction quality, and support the succesful implementation of chatbot technologies in Indonesia.

As technology continues to advance, the integration of generative artificial intelligence tools in various sectors, including education, has gained momentum. ChatGPT, an extensively recognized language model created by OpenAI, has gained significant importance, particularly in education. This study investigates the awareness, acceptance, and adoption of ChatGPT, a state-of-the-art language model developed by OpenAI, in higher education institutions across China. This study applies the partial least squares structural equation modeling (PLS-SEM) method for examining data collected from 320 Chinese university students. The study’s conceptual framework integrates key determinants from the Technology Acceptance Model (TAM) and extends it by incorporating perceived intelligence as a critical factor in the adoption process. The study findings reveal that ChatGPT awareness significantly influences the intention to adopt ChatGPT. Perceived ease of use, usefulness, and intelligence significantly mediate the association between ChatGPT awareness and adoption intention of ChatGPT. Additionally, perceived trust significantly moderates the relationship between ChatGPT awareness and perceived ease of use, usefulness, and intelligence. Moving forward, in order to maintain students’ critical thinking skills and inventiveness in their assessment writing, assessments must promote the safe use of ChatGPT. Therefore, educators will be crucial in ensuring that artificial intelligence tools are used in assessments ethically and suitably by providing clear guidelines and instructions.

This study proposes a new model by partially combining personality traits (PT) and Technology Acceptance Model (TAM) attributes to examine the influences of personality characteristics (conscientiousness, openness) and perception of technology (perceived usefulness, perceives ease of use) on e-purchase intention. We use truncate sampling technique and survey questionnaire to target the sample of Taiwanese online consumers and collect data. We find that consciousness (CON) (personality attribute) significantly influences perceived usefulness (PU) (technology perception attributes), perceived ease of use (PEOU) (technology perception attributes) and openness to experience (OPE) (personality attribute). PU, PEOU and OPE have significant impacts on e-purchase intention (INT). PEOU has the strongest positive impact on (INT). In addition, PU, PEOU and OPE combined together mediate the relationship between CON and INT. Further post hoc analysis of the mediation shows that both PU and PEOU are sustainable mediators. However, OPE is not a significant mediator.

The purpose of this article is to explore the mediating role of perceived usefulness, trust and attitude on a user’s intention towards use of mobile wallets in India. While mediation has been studied by earlier researchers in the context of online commerce, mobile banking, short message service (SMS) banking, mobile money, etc., not many studies exist in the context of mobile wallets. Considering the potential of mobile wallets in India, previous relationships from the theories of technology adoption like technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) were adapted to investigate the determinants of user attitude and intention towards mobile wallet adoption. Based on data from 744 respondents collected through a survey, partial least squares (PLS) structural equation modelling was used to test the research model. Convenience sampling was used to select the respondents. The results revealed that out of the nine paths wherein mediation was examined, in two paths full mediation was found while it was partial in the remaining cases. This study extends research in explaining attitude and intention through multiple mediating relationships. The implications for research and practice and future research directions are discussed.

Purpose This study aims to examine the impact of website design, reliability and perceived ease of use as an engagement motivational factors on customer e-trust and e-retention in online shopping. Design/methodology/approach By using deductive approach, quantitative methods and purposive sampling technique, this study has collected the data from 295 young online customers to enhance an understanding of website design, reliability and perceived ease of use in an online shopping context. Findings The findings revealed interesting insights where reliability is the most significant predictor of customer e-trust in online shopping, followed by perceived ease of use and website design. In addition, a significant mediating effect of e-trust is found between customer e-retention, website design, reliability and perceived ease of use. Research limitations/implications Future research is recommended to predict the antecedents of online engagement motivational factors with value co-creation and co-creation experience in online shopping context. Originality/value This study offers fresh insights about driving elements and impediments of online customer retention. Customer engagement comprising of website design, reliability and perceived ease of use appear to influence the online customer retention through direct and indirect effect.