Virtual technology has brought new development opportunities to the tourism market and is expected to help the tourism industry cope with the challenges issuing from the COVID-19 pandemic. Given this context, in this study, we propose and test a model based on the SOR architecture, which includes tourists’ experience of virtual tourism, technical readiness (TR), technical acceptance (TA), and tourists’ virtual tourism intentions and the variables of flow experience, technical optimism, technical discomfort, perceived usefulness, perceived ease of use, adoption intention, and consumption intention. To this end, data were collected through a questionnaire survey of Chinese tourists (n = 542). Then, we used a structural equation model (SEM) to test the hypothetical relationships between potential variables. The results showed that the flow experience delivered by the virtual tourism experience affects tourists’ tendencies to use and intentions to consume virtual tourism. Second, flow experiences can make tourists more optimistic about virtual tourism technology, reduce tourists’ technical discomfort, and enhance tourists’ perceptions of usefulness and ease of use. We also found that tourists’ intentions to use virtual tourism technology affect their intentions to travel on the spot. These findings provide useful insights for tourism practitioners, suggest new ideas for marketing and sustainable development in the virtual tourism industry, and verify the application of the integrated SOR and TAM framework in the field of tourism consumption.

Although digital village projects have been vigorously promoted in China in recent years, the application rate of information and communication technology (ICT) is still low, while the ways in which governmental technology promotion turns into endogenous initiatives and the impact of informal institutions remains unclear. This study found that the neighbourhood effect, rather than institutional incentives, is decisive for ICT adoption. Perceived well‐being benefit was found to be an indispensable internal driver for ICT adoption, whereas government incentives varied across industries, producing a variety of impacts. The findings of this study provide practical insights into the effective promotion of ICT adoption, suggesting that government and community forces should be integrated, and that both cognitive and affective psychological drivers should be considered.

Under the new normal of COVID-19, interest in e-production/e-services has, increasingly, included Virtual Reality (VR) tourism. However, the relationship between the perceived need for VR tourism and the stimulation of intention to corporeal tourism is, yet, vague, where corporeal tourism refers to visiting actual tourism destinations. To investigate the preferred intention of particular tourist modes (VR vs. corporeal), an integrated framework was proposed, by merging key elements from the attention, interest, desire, and action (AIDA) model and the technology-acceptance model (TAM). A sample of 657 respondents was collected, during February 2022, and hypotheses were tested using a partial least square structural equation model (PLS-SEM). The findings showed that interest in VR tourism had a strong hierarchical effect on the behavioral intention to a particular tourist mode, mediated by perceived usefulness or ease of use, attitude, and desire. Interest was significantly linked to two key constructures of TAM, whilst both determined attitude. Attitude significantly influenced the preference intention toward a particular tourism mode, directly and indirectly with users’ desires, as a crucial mediator in the relationship. The individual characteristics moderate the paths, from evaluation to attitude and attitude to the mediator of desire to intention. This study contributes to both theories as well as practices in tourism management and marketing.

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