This study examined the antecedents of travel intentions in the context of Chinese short-video platforms. Based on a review of the literature on travel intentions, we proposed an integrated model containing determinants of social capital and an elaboration likelihood model. In total, the data from 496 valid questionnaires were analyzed through structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The SEM findings revealed that the determinants of social capital influenced the characteristics of tourist-generated content (TGC), which in turn affected users’ travel intentions. Homophily and interpersonal influence were direct antecedents of travel intentions, whereas tie strength non-significantly affected travel intentions. The fsQCA results revealed four configurations of the determinants of social capital and TGC characteristics required to achieve a high level of travel intention. Source credibility was discovered to be a necessary but not sufficient condition for travel intention. These findings offer insights for both academics and tourism marketers.

Short-form video applications (SFV apps) provide an ideal channel for promoting rural tourism. Based on the elaboration likelihood model, this study integrated guanxi, telepresence, destination image, and tourism fatigue to investigate the factors affecting user intentions to travel to rural tourism destinations in the context of SFV apps. Through the use of structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA), the theoretical framework was examined using data collected from 445 SFV app users. The SEM findings revealed that guanxi could directly affect argument quality and source credibility, which further strengthened destination image and telepresence; the travel intention could be affected by destination image and telepresence without guanxi. Also, tourism fatigue played three roles in the formation of travel intention. Additionally, the results of fsQCA illustrated three configurations leading to high and low intention to visit rural tourism destinations.

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