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The growing interest in ruralism among Chinese people has been observed as China’s population in urban areas has exceeded its rural population. Rural tourism has become one of the leading tourism sectors in China, in large part because many of China’s popular tourist attractions are surrounded by rural communities. This study identified 12 dimensions of tourist-perceived quality. In addition, perceived value and satisfaction were used as mediators to explain the relationships between perceived quality and three dimensions of behavioral intentions (i.e., revisitation intention, positive word-of-mouth, and willingness to pay for special rural products). Furthermore, the moderating impact of urban versus rural residence was tested. A total sample of 495 was used for data analysis. Four tourist-perceived quality dimensions (i.e., tourism infrastructure and transportation, hospitality and learning, handicrafts and culture, and rural environment) were found. The results of this study demonstrated the empirical evidence of the relationship between perceived quality, perceived value, satisfaction, and behavioral intentions. Finally, the results showed a moderating effect. The findings of this study can contribute to increasing various behavioral intentions and sustainable rural tourism in China.

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There is a lot of attention given to the determinants of guest satisfaction and consumer behavior in the tourism literature. While much extant literature uses a deductive approach for identifying guest satisfaction dimensions, we apply an inductive approach by utilizing large unstructured text data of 104,161 online reviews of Korean accommodation customers to frame which topics of interest guests find important. Using latent Dirichlet allocation, a generative, Bayesian, hierarchical statistical model, we extract and validate topics of interest in the dataset. The results corroborate extant literature in that dimensions, such as location and service quality, are important. However, we extend existing dimensions of importance by more precisely distinguishing aspects of location and service quality. Furthermore, by comparing the characteristics of the accommodations in terms of metropolitan versus rural and the type of accommodation, we reveal differences in topics of importance between different characteristics of the accommodations. Specifically, we find a higher importance for points of competition and points of uniqueness among the accommodation characteristics. This has implications for how managers can improve customer satisfaction and how researchers can more precisely measure customer satisfaction in the hospitality industry.