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Process map of the data collection and analysis

Process map of the data collection and analysis

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This study offers a theoretical extension of previous work on physical metaworlds by using an interpretive methodology to investigate technological metaworlds in travel. While physical and technological metaworlds initially seem to share some core characteristics, a deeper dive into the data reveals important differences. Specifically, concepts rel...

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... streams of extant literature were drawn upon to aid conceptual elaboration using constant comparison, whereby the conceptual categories and extant knowledge were continuously compared with each other to generate insights throughout the theoretical coding process. Figure 1 provides a process map for the GTM data collection and analysis of this research. The resultant grounded theory is presented next. ...

Citations

... These meta-worlds are conceptualized as psychological, behavioral, and social safe havens that provide users with a higher locus of control (Stumpf et al. 2020). While the use of these technologies within the tourism and hospitality industry was still in its infancy pre-Covid, they gained significant momentum at the height of the pandemic. ...
... The emotional and psychological stability offered by avatars in a metaverse enables social interaction and participation, without physical presence (Lyons 2022). Metaverse allows users to maintain a locus of control rather than the dominant culture of the local community the user has entered, thereby managing tensions emerging from experiencing and processing idiosyncrasies not immediately comprehensible (Stumpf et al. 2020). This becomes important in the context of HRM, as the utilitarian exchange value of the metaverse is likely to be upgraded to the hedonic aspects of employee experiences across talent acquisition, training, remote work/telework, and help strengthen the equality, diversity, and inclusion efforts of organizations (Dwivedi et al. 2022;Lyons 2022). ...
Article
Full-text available
In an era of talent shortages in the hospitality and tourism sector, the increasing use of technology adoption, including the metaverse, is critical for providing organizations with a competitive advantage. While metaverse adoption is becoming increasingly important for enabling customer experience in tourism, there is a surprising dearth of research on applications in the learning and development of the workforce engaged in this sector. The paper examines how hospitality and tourism HRM practices leveraging the metaverse can meaningfully increase learning engagement with the distributed workforce. Using a qualitative case study research design, we draw on practice theory and attempt to address the changing structures, practices, norms, and interpretive schemes while using the metaverse for learning and development within organizations. The study finds that the metaverse serves as augmenting technology or assistive technology, and its use with partial or wholly immersive environments enables asynchronous and synchronous learning. The implications of the study are discussed.
Article
Purpose The digital economy has become a key force supporting the high-quality development of tourism. This paper discusses the coupling coordination relationship and spatiotemporal evolution path of digital economy and tourism in China's provinces. Design/methodology/approach This paper uses the entropy method to measure the development level of digital economy and tourism, and establishes coupling coordination model and spatial autocorrelation model to study the interaction between the two industries. Findings Results show that the development levels of the two industries are rising, which spatially show a progressively decreasing pattern of east-middle-northeast-west. The coupling coordination degrees of the two industries have increased steadily, but the overall level is still near maladjusted. Spatially, the positive correlation is increasing, but the incongruity of spatial agglomeration is still significant. The coupling coordination evolution path in the provinces shows differentiated characteristics. The migration path is mainly concentrated in Zones I and II. The eastern region has an obvious trend of extending to Zone III, where the tourism industry was the most affected by the pandemic. Practical implications The study helps clarify the industrial coupling and coordination relationship in various regions and formulate regional tourism digital transformation strategies to promote the high-quality development of China's tourism industry. Originality/value This paper enriches the research on the relationship between digital economy and tourism from the perspective of industrial integration. The development commonality of China's tourism digital transformation summarized provides theoretical reference and demonstration for the coordinated development of China's tourism.