Tourism Management最新文献

Online self-presentation of luxury tourism experiences can lead to negative outcomes such as others' envy and hostility in online travel communities (OTCs). Thus, some users have learned to present their tourism experience in a more implicit manner, rather than being explicit, and the influence of different self-presentations merits exploration in the tourism literature. Drawing on the theory of value co-destruction, we examine whether, how, and when explicit (vs. implicit) self-presentation of luxury tourism experiences would induce others' value co-destruction intention by triggering perceived conflict in OTCs. Three experiments show that explicit (vs. implicit) self-presentation is more likely to trigger others’ value co-destruction intention by intensifying perceived informational and relational conflict. In addition, for implicit self-presentation, those sharing similar experiences with luxury self-presenters would develop weaker conflict perceptions than would those without similar experiences. We offer novel insights for improving the OTC experience to prevent value co-destruction.

This study investigates the efficacy of generative artificial intelligence in online service recovery; specifically, the use of ChatGPT (vs. human employees) in preparing managerial response(s) (MR or MRs) to online hotel reviews is considered. ChatGPT could be used to generate human-like MRs for online service recovery but this could backfire due to algorithm aversion when an individual discounts algorithm decisions relative to human-made decisions. Data collected via interviews, a modified Turing test and an online experiment provide empirical support for this. Findings reveal that potential customers could not clearly differentiate between the two types of MR and could not clearly identify the ‘better’ of the two. Yet, when informed of the MR source, ChatGPT MRs led to lower affective, cognitive and conative outcomes. Findings also unveiled perceived authenticity and uncanniness as significant parallel mediating pathways in this algorithm aversion. Theoretical and managerial implications are discussed.

The senior tourist market is expanding due to longer lifespans, yet there is insufficient research on their preference for holiday choice, especially in the digital era. This study investigated the influence of internet self-efficacy on destination choice preferences among senior tourists. Through five experiments, we discovered that higher levels of internet self-efficacy among seniors led to a pronounced preference for desirability, whereas those with lower levels were inclined towards feasibility. This effect is mediated by the sense of autonomy that internet self-efficacy instills. This inclination holds true only for seniors with a fixed (vs. growth) mindset and when they travel with an incompetent (vs. competent) companion. These findings significantly contribute to the empirical investigation of senior tourist decision-making in the digital environment, providing valuable empirical insights for practitioners seeking to target the senior market.

Unlike traditional hotels that explicitly specify their geographical locations, hosts on peer-to-peer accommodation platforms can partially conceal their properties' location information, showcasing only a general area in public searches for potential guests. However, the impact of this information control has been underexplored. Drawing upon the communication privacy management theory and leveraging a unique Airbnb panel dataset from multiple sources, this study investigates the effect of partial location information concealment on property sales performance. Findings show that partially concealing location information leads to an 18.4% increase in occupancy rates compared to disclosing specific location details. Additionally, the effect of location concealment is contingent upon co-owner responsibility boundaries (i.e., host identity verification, guest screening), as well as environmental density boundaries (i.e., population density, listing density). Furthermore, a scenario-based experiment confirms the main effect, and reveals that guests’ sense of control and perceived risks serve as the underlying mechanisms driving this direct effect.