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This study aims to explore the opportunity offered through mobile learning (m-learning) to tourism education in the developing country context. To achieve this aim, the antecedent impact of self-efficacy and the moderator role of innovativeness on the attitude and intention to adopt m-learning have been investigated using the technology acceptance model (TAM).

A survey of 176 participants from three prominent tourism education institutes in Dhaka, Bangladesh, has been conducted. Partial least squares-based structural equation modeling (PLS-SEM) has been used to analyze the data.

While the findings confirmed the antecedent effect of self-efficacy on the intention to adopt m-learning, the moderating effect of innovativeness was not found to be as significant for the attitude-intention link.

Data have been collected only from one country and from current tourism students. Future studies on several developing countries with different potential users would bring more in-depth insights.

Tourism education institutes need to focus on students’ self-efficacy to build a positive attitude and behavioral intention toward m-learning when launching mobile-based education services.

The study provides theoretical underpinnings enabling tourism educators to better understand tourism students’ behavioral intention to use m-learning, in particular in the developing country context. By applying TAM to tourism education to examine the effects of students’ self-efficacy and innovativeness, a better explanation of the adoption of m-learning in tourism education is provided.

The emergence of virtual reality (VR) has the potential to revolutionize various industries, including tourism, as it delivers a simulated environment that closely emulates real-life experiences. Therefore, this study aims to explore how the factors, i.e. enjoyment, emotional involvement, flow state, perceived privacy risk, physical risk and cost, influence the customers’ intention to use VR for tourism.

This study integrates the technology acceptance model, hedonic consumption theory with other factors, including cognitive response, authenticity, perceived privacy risk, perceived physical risk, perceived cost and perceived presence. Partial least squares structural equation modelling approach was used to test the proposed research model.

The finding based on the sample of 252 respondents revealed that authenticity is the most influential factor impacting behavior intention followed by perceived cost, attitude, cognitive response and enjoyment. Also, the study supported the moderating impact of personal innovativeness between attitude and behavioral intention to use VR for tourism.

The findings of the study offers practical implications for service providers, site managers, destination marketers, tourist organizations and policymaker to develop more effective strategies for offering VR services for tourism.

This study enriches the current understanding of VR adoption in context of tourism with empirical evidences.