Journal of Destination Marketing & Management最新文献

Tourism aims to enhance community quality of life, but its impacts can be positive and/or negative by community. Under increasing uncertainty from multiple crises, this study links tourism sectors with the concepts of community resilience and quality of life to support sustainable development. We examined how community resilience spatially mediates dynamic relationships between tourism and community quality of life. To consider locally varying relationships, we developed an integrated framework and model, employing spatial path analysis to address spatial interactions at the community level between tourism sectors, community resilience, and community quality of life. The proposed model was applied to Florida, a US state heavily reliant on tourism and regularly affected by natural hazards. Findings indicate that community resilience spatially mediates the positive and/or negative effects of two tourism sectors on community quality of life: Accommodation and Amusement/Gambling/Recreation, leading to spatially varying positive/negative relationships between tourism and community quality of life across communities. This study demonstrates that the accuracy of community-level measurements of tourism and qualty of life can be improved by acknowledging spatial interactions and the resilience status of each community. Our findings support localized community policies for achieving sustainable, resilient, and healthy community development based on tourism.

Virtual streamer has been utilized in the field of destination marketing where it has gained considerable success. This study develops an emotional richness–streamer attractiveness–parasocial relationship (PSR)–destination attractiveness–visit intention framework to explain the effect of virtual streamers on destination visitation based on image transfer theory. A total of 400 valid responses were collected through a questionnaire and then analysed with partial least squares structural equation modelling. The results indicate that the emotional richness of virtual streamers increases the viewer's perception of the streamer's attractiveness. In turn, such attractiveness could transfer to the destination through the mediation of the PSR, which further arouses visit intention. Moreover, the results reveal the moderating effects of streamer type (AI vs. non-AI) and streamer–viewer gender congruity. This study not only contributes to the live-streaming and destination marketing literature but also offers several useful suggestions for practitioners.

Self-administered surveys are a widespread data collection method in tourism research. However, survey-based data are prone to what is widely referred to as common method variance (CMV). Common method variance represents systematic error variance which can potentially have a substantial confounding influence on empirical findings, since it can lead to incorrect assessments of construct validity and reliability as well as biased parameter estimates. Surprisingly, addressing common method variance issues is still an exception in tourism research.

This study advocates the use of two approaches and it demonstrates the practical implementation of these approaches by drawing on a seven-country online survey of tourists’ perceptions of and intentions to visit Italy conducted on a sample of 4550 respondents intercepted in Brazil, China, India, Indonesia, Russia, South Africa, and Turkey.

Findings clearly reveal that common method variance is not a trivial issue that can be safely ignored when estimating models aimed at assessing country and destination images and at explaining tourists’ intentions to visit and/or positive word of mouth. Therefore, the study provides concrete insights and directions to tourism researchers seeking to address this issue in their empirical endeavors.

This article employs the multi-period difference-in-differences model to investigate the causal impact of innovative city construction on tourist destination competitiveness and its various dimensions based on panel data for 272 Chinese prefecture-level cities from 2005 to 2019. The findings indicate that innovative city construction significantly and positively impacts tourist destination competitiveness, with this effect growing over time. In particular, the impact on tourism industrial competitiveness is negative, whereas the effects on the competitiveness of tourism resources, ecological environment, and socio-economic support are positive and significant. The impact of innovative city construction on tourist destination competitiveness varies significantly across regions and administrative levels, with no variation found between the central and western regions. The possible mediating mechanisms include industrial structure, science and technology innovation, and environmental regulation. This article significantly contributes to the theoretical expansion of tourist destination competitiveness and its change mechanisms under innovative city construction.