Purpose: ChatGPT is a cutting-edge chatbot powered by artificial intelligence that could revolutionise and advance the teaching and learning process. Drawing on the technology acceptance model (TAM) and information system (IS) success model, this study aims to investigate determinants of students’ intention to use ChatGPT for education purposes. Design/methodology/approach: The partial least squares technique was used to analyse 406 usable data collected from university students in Malaysia. Findings: The results confirmed the relationships between perceived usefulness (PU), perceived ease of use (PEU), attitude and intention to use proposed by TAM. PU and PEU are influenced by system quality. Surprisingly, trust in information moderates negatively the influences of PEU and PU on attitude. Practical implications: The findings provide insight for higher education institutions, unit instructors and ChatGPT developers on what may promote the use of ChatGPT in higher education. Originality/value: The study contributes to the literature by exploring the determinants of ChatGPT adoption, extending the TAM model by incorporating IS success factors and assessing the moderating effect of trust in information.

The study investigates the determinants of trust in sellers and products and purchase intention in the social commerce (s-commerce) context by considering the moderating effects of trust disposition and perceived price fairness. The data were collected from 416 individuals who have followed at least one seller on Instagram and analysed using the Partial Least Squares (PLS) approach. The findings revealed that review quantity, review quality, perceived symmetric product information, and responsiveness positively influence trust in seller. The direct influence of review quality on trust in products was confirmed. Trust disposition negatively moderates the impacts of review quality on trust in sellers and responsiveness on trust in products. Furthermore, perceived price fairness positively moderates the influence of trust in sellers and products on purchase intention. The findings extend the literature on s-commerce in several ways. The findings enable s-commerce sellers to formulate effective marketing strategies and boost purchase intention.