Annals of Tourism Research Empirical Insights最新文献

This study contributes to the understanding of how residents in tourism-based communities were and are being impacted by changes in population due to migration of second homeowners and new full-time residents during COVID-19 where individuals relocated to areas with more space and outdoor amenities. Utilizing semi-structured interviews of the host community in the town of Durango, Colorado, this study proposes that there is a fluid-like cyclical progression of reflecting on development, recognizing internal responses to development, and identifying physical changes related to development such as housing and congestion. The findings of this study suggest that awareness of feelings and actions of anti-migration need to be at the forefront of tourism development decisions to aid in navigating socio-cultural challenges.

The recent closure of the Uluru climb marked a pivotal moment in Australia's tourism history. Uluru in the Northern Territory has long been a contested symbolic tourist site subject to competing narratives of its significance as a tourist icon and Aboriginal cultural landscape. This study examines tourist responses to the climb closure through a netnographic analysis of TripAdvsior content. The findings uncover enduring tensions in tourist perceptions and behaviours in relation to the climb closure. This research highlights the dynamic nature of the tourist gaze upon contested sites, such as Uluru. We conclude that despite ongoing contestation, the climb closure signifies broader societal shift towards respecting Aboriginal perspectives in tourism decision-making.

The paper aims to probe the tourism-economic growth nexus in the case of India. The paper incorporates a more structural view of sector-specific macroeconomic variables like central government expenditure on tourism (CGET), investment in the tourism industry (IOT), foreign tourist arrivals, and foreign tourist visits as explanatory parameters. Johansen's cointegration and error correction model results support the long-run relationship among the variables. All the independent variables are unidirectional causal on GDP except investment in tourism, which shows long-run bidirectional causality. Thus, the long-run unidirectional tourism-led growth hypothesis is supported. The empirical implications support government and private sector-based resource allocation towards tourism expansion, thereby escalating the country's economic growth.

Based on a comprehensive tourism forecasting competition using Portugal's regional data, we study the impact of COVID-19 on the ability of time series models to forecast tourism demand. We find that the stable seasonal patterns observed before the pandemic did not persist in 2020, but regions with higher weights of domestic tourism showed much lower tourism declines and seasonal shifts. Although this change was temporary, it caused significant forecast breakdowns in all methods. However, the intensity of the break differed across models leading to important changes in model rankings, especially in the most affected regions. We discuss the effectiveness and implications of applying straightforward data adjustments and how they can attenuate the pandemic impact on ex-post assessment of tourism forecasts.

The launch of ChatGPT has the potential to disrupt conventional approaches to tourism marketing. In this context, the present research explores the distinguishability between marketing content created by ChatGPT and that by tourism marketers, while also comparing their respective effects on downstream tourism marketing outcomes. Drawing on two online experiments aligned with realistic destination marketing endeavors, the findings reveal that tourism marketing materials created by ChatGPT successfully pass the Turing Test and achieve textual fluency and perceived attractiveness that are no lower than those yielded by tourism marketers. This study provides preliminary experimental evidence showing the efficacy of applying generative AI like ChatGPT in creating tourism marketing materials, advocating a co-creation relationship between generative AI and tourism marketers.

This study examined netizen attitudes toward space tourism. A content analysis was performed on 260 memes collected in response to the first tourist-focused suborbital spaceflight of Virgin Galactic and Blue Origin. While findings indicate a variety of perspectives toward both historic moments for the new commercial space industry, the overall sentiment was negative. Using cultural references and humor, this critical response focused on the billionaire founders Richard Branson and Jeff Bezos, downplayed their achievement, and questioned their environmental, financial, and social/ethical practices. This discursive contention is sharply opposed to dominant narratives which typically frame space tourism as a net positive for humankind. Findings offer insight into emerging attitudes toward present-day space tourism and potential challenges to the industry's future development.

Despite limited empirical support, vacations are marketed as beneficial for romantic partners. Using the self-expansion model as a foundation, we tested how self-expanding (e.g., novel, interesting, challenging) vacation experiences are associated with passion, physical intimacy, and relationship satisfaction. Study 1 (n = 238 partners) found that higher individual self-expanding experiences on vacations predicted higher post-vacation romantic passion and relationship satisfaction for couples traveling with their partners, but not those that did not travel together. Study 2 examined 102 romantic dyads that traveled together and found that higher self-expanding experiences on vacations predicted more post-vacation physical intimacy. Our findings advance self-expansion research and provide evidence for the tourism industry to design and promote self-expanding vacation experiences for couples seeking improved relationships and meaningful vacations.

Suborbital space tourism is a catalyst for space industry revenue that could reach $1.1 billion by 2032. This study evaluated the influence of the four dimensions of Iso-Ahola's (1982) theory of tourism motivation on willingness to fly as a point-to-point suborbital space tourist. 870 participants responded to an online survey. The survey results were analyzed using structural equation modeling. The tourism dimensions of interpersonal seeking and personal seeking had the greatest influence on willingness to fly. The model explains 40% of the variance in willingness to fly. The results provide validated data for targeted marketing to potential point-to-point space tourists. The results of this study are a catalyst for future space tourism research.