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The Metaverse is rapidly reshaping the understanding of tourism, yet the public perception of this new domain remains largely uncharted empirically. This paper aims to build on the technology acceptance model (TAM) and diffusion of innovations theory (DIT) to fill this gap, offering crucial insights that could inform scholars and practitioners in both the tourism and technology sectors.

Using a big-data approach, the authors applied machine learning to scrape comments made by social media users on recent popular posts or videos related to tourism in the Metaverse from three prominent social media platforms. The cleaning process narrowed down 15,461 comments to 2,650, which were then analysed using thematic, emotion and sentiment analysis techniques.

The thematic analysis revealed that virtual tourism evokes a complex range of public beliefs. While many express awe and excitement toward its immersive capabilities, others remain sceptical about authenticity compared to physical travel. Additional themes show people draw comparisons to real-world tourism, discuss technology’s role and note educational value and novelty. However, some comments raise concerns about potential societal harms, exploitation and mental health impacts. Sentiment analysis found over half of the comments positive, though some were negative. Emotion analysis showed contentment, happiness and excitement as most frequent, though sadness, worry and loneliness also featured. Overall, perceptions of Metaverse tourism encompass enthusiasm yet substantial ambivalence.

To the best of the authors’ knowledge, this study is one of the first to comprehensively analyse public discussions on Metaverse tourism. It takes TAM and Rogers’s DIT a step further and provides fresh insights into how these theories can be employed in the emerging field of Metaverse tourism. The themes revealed new conceptual insights into multidimensional factors shaping public beliefs about Metaverse tourism and thus informing scholarly research on virtual interaction and technology acceptance regarding Metaverse tourism. In addition, the results can help tourism providers, platforms and marketers address salient public beliefs and sentiments/attitudes in developing marketing offerings, experiences and communications. Over time, this analysis methodology can be used to track the evolving public perceptions of Metaverse tourism.

Despite consumers' widespread use of social media platforms, there is scant research on the underlying factors that influence their willingness to share digital footprints on social media. The purpose of this study is to address this research gap by examining consumers' cognitive and affective attitudes simultaneously.

This research used quantitative method by using online survey administered to a sample of 733 social media users.

The findings indicate both cognitive and affective attitudes jointly influence consumers' behavioural intentions with trust as a key construct mediating the relationship between attitudinal antecedents and consumers' willingness to share digital footprints on social media.

This study contributes to the information systems (IS) literature by offering a comprehensive framework constituting the joint attitudinal components as antecedents to consumers' behavioural intention for sharing digital footprints while trust works as a mediator.

This paper has important managerial implications. It helps marketers and IS managers in profiling consumers, understanding consumption patterns, sharing of digital footprints, which are useful for effective market segmentation, product development and future design of social media platforms. It informs social media providers of the importance of not only focussing on functional aspects but also underscores the essence of paying attention to consumers' affect towards social media platforms, especially trust.

The paper presents an original framework that explains the influence of joint attitudinal components on behavioural intention, with trust as a mediator.

The purpose of this paper is to explore how post-92 UK universities perceive and manage market orientation (MO) in their export operations of educational services to international students (i.e. export market orientation (EMO)) in the context of international student recruitment.

Through a case study design, this qualitative research was undertaken amongst eight post-92 UK universities. Semi-structured in-depth interviews were conducted with managers in the international offices of universities.

The results indicate that EMO in universities consists of information-based activities geared towards foreign markets. Superior knowledge and awareness of the market components is central to the implementation of these information-based activities. This involves market information generation and dissemination, as well as the need for rapid responsiveness due to the changing nature of the higher education market.

The selected methodology makes these results alone unfit for generalising to a larger population. Improved theoretical models are needed for generating more knowledge about the antecedents and consequences of EMO in universities.

The authors believe the findings are particularly relevant for international marketing managers of exporting universities. The current paper suggests some implications for international marketing managers when actively managing their marketing activities towards foreign markets.

The paper identifies a gap in current higher education marketing research. The original contribution of the paper is to address this gap so that researchers and practitioners have some understanding of the export marketing behaviour of UK universities in the context of the recruitment of international students.