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The purpose of this paper is to explore user engagement (UE) within the Metaverse (MV) environment, emphasising the crucial role of immersive experiences (IEs). This study aims to understand how IEs influence UE and the mediating effects of hedonic value (HV) and utilitarian value (UV) on this relationship. Additionally, the authors examine the moderating impacts of user perceptions (UPs) such as headset comfort, simulation sickness, prior knowledge and ease of use on the utilisation of the MV. This study seeks to elucidate the dynamics of virtual travel at a pre-experience stage, enhancing the comprehension of how digital platforms can revolutionise UE in travel and tourism.

This study used a triangulation methodology to provide a thorough investigation into the factors influencing UE in the MV. A systematic literature review (SLR) was conducted to frame the research context and identify relevant variables. To gather empirical data, 25 interviews were performed with active MV users, supplemented by a survey distributed to 118 participants. The data collected was analysed using structural equation modelling (SEM) to test the hypothesised relationships between IEs, UPs, HV and UV and their combined effect on UE within the MV.

The findings from the SEM indicate that engaging in the MV leads to a positive IE, which significantly enhances UE. Additionally, it was discovered that HV and UV play a mediating role in strengthening the link between IEs and UE. Furthermore, UPs, including headset comfort, simulation sickness, prior knowledge and ease of use, are significant moderators in the relationship between IEs and MV usage. These insights provide a nuanced understanding of the variables that contribute to and enhance UE in virtual environments.

This research contributes original insights into the burgeoning field of digital tourism by focusing on the MV, a rapidly evolving platform. It addresses the gap in the existing literature by delineating the complex interplay between IEs, UPs and value constructs within the MV. By using a mixed-method approach and advanced statistical analysis, this study provides a comprehensive model of UE specific to virtual travel platforms. The findings are particularly valuable for developers and marketers in the hospitality and tourism sectors seeking to capitalise on digital transformation and enhance UE through immersive technologies.

The purpose of this study was to make sense of the individual perspectives of former undergraduate student mentors from science, technology, engineering, and mathematics (STEM) fields who took part in an after-school STEM mentoring program. The study examined the following research questions: (1) How do former undergraduate student STEM mentors interpret and give meaning to their after-school STEM mentoring experiences? (2) In what way can an after-school STEM mentoring experience lead to a deeper understanding of the long-term implications of a STEM mentorship program?

The sample comprised 21 former undergraduate STEM mentors. The study was guided by the methods of content analysis and repertory grid (RepGrid), with data collected via highly structured interviews. Eight elements were pre-selected for the RepGrid to elicit constructs from participants. These include (1) mentoring, (2) teaching, (3) research, (4) career, (5) workforce, (6) Nebraska STEM for you (NE STEM 4U), (7) networking, and (8) communication. The researcher employed content analysis for cross-case analysis and used interpretative clustering to analyze nuanced similarities and differences among participants. Personal construct theory was used to understand how former STEM mentors made sense of their experiences.

The results highlight the diversity of viewpoints among participants, as well as their connections to various career paths, communication strategies, and mentorship styles. These insights contribute to a deeper understanding of how STEM mentorship experiences can be tailored to the experiences of mentees. The study stresses the significance of clear communication in STEM and advises professionals to avoid excessive technical jargon to convey complex ideas. Overall, the study provides valuable insights into the motivations, perspectives, and benefits of former undergraduate mentors. Ultimately, recognizing how these factors impact STEM mentoring programs is vital for the long-term success and advancement of the STEM pipeline.

The study has several limitations, including the inclusion of participants lacking knowledge or experience with the eight elements used in the RepGrids. While participants had completed a bachelor’s degree in a STEM field, not all had pursued advanced schooling or careers that required knowledge or implementation of research.

Findings underscore the importance of acknowledging the diverse career paths within STEM fields to understand participants’ perspectives toward mentorship. Considering the incorporation of STEM mentorship within regular school hours and making it a graduation prerequisite could enhance student participation and advancement. Integrating STEM outreach programs into higher education curricula could facilitate the development of essential professional skills (e.g. critical thinking, problem-solving) among STEM undergraduate students. These implications highlight the importance of diverse mentorship styles and professional skills to foster a more inclusive STEM workforce.

The study focused on the individual perspectives of participants rather than employing a thematic analysis.