With the diverse demands of customers for their accommodation experiences, integrated resorts have emerged and have been popular among tourists. Meanwhile, in the context of Tourism and Hospitality 4.0, online information collection and marketing has been one of the most effective strategies for industry operators and investors. Thus, the present study adopted online reviews generated by customers themselves to explore their experience and satisfaction with integrated resorts. With the qualitative and quantitative analyses of online customer reviews, firstly, 70 prominent keywords were extracted from the reviews, and some general understanding was obtained from the top frequent words. After conducting a semantic network analysis of the top frequent words, significant and central words in the network were identified, which were utilized as basic variables for the specific exploration of factors reflecting customers’ experience. In the meantime, four dimensions, “Amenities”, “Entertainment”, “Tourist”, and “Atmosphere”, were garnered via CONCOR analysis to illustrate the key dimensions of customers’ cognition and awareness towards resorts. At last, a quantitative analysis with an exploration factor analysis and a linear regression analysis were conducted to testify the correlation between customer experience and satisfaction. Three factors, “environment”, “staff service”, and “food service”, have a significant effect on customer satisfaction. Analytics of online customer reviews with a big volume, which differ from traditional research methods by designed structure or content, could generate more comprehensive understanding and cognition of research subjects. The findings obtained from analytics could provide baseline information for future research and industry development and promotion.

With the dramatic development of 5G technology, Internet of Things (IoT), and other technologies, the traditional offline market has been gradually altered with applying technologies to improve their efficient or cost-performance. The unmanned stores have been one of the significant and popular forms. To maintain the sustainable development of this retail form, it is essential to know what factors to foster and the mechanism of the formation of customers’ loyalty. Thus, the present study was performed to explore what the selection attributes of unmanned stores are and examine how these attributes impact on the formation of customers’ loyalty through their perceived value and satisfaction. Structural equation modeling was applied with a valid sample of 350 respondents to testify the casual relationship among research variables. As results, it was found that practicality (β = 0.229, t = 3.164, p < 0.01) and convenience (β = 0.152, t = 2.044, p < 0.05) of unmanned stores have positive influence on their perceived value. Moreover, practicality (β = 0.164, t = 2.392, p < 0.05), cleanliness (β = 0.198, t = 3.595, p < 0.001), and pleasantness (β = 0.337, t = 4.722, p < 0.001) could positively impact on their satisfaction. Both perceived value (β = 0.151, t = 2.366, p < 0.05) and satisfaction (β = 0.123, t = 2.023, p < 0.05) could contribute to the formation of their loyalty to unmanned stores. Finally, the moderating effect of social risk has been examined. Consequently, the casual relationships confirmed among research variables could provide insights for the service improvement of unmanned stores from the perspectives of the selection attributes of unmanned stores and customers perceived value.

Rural tourism strategies in underdeveloped countries have gained popularity in recent years due to rural tourism’s significance in the sustainable development of society. Thus, by integrating affective event theory in the context of rural tourism, the present study underscores the formation of tourists’ loyalty to rural tourist destinations based on the perspectives of affective atmosphere and memorable tourism experience for rural tourist destinations. Drawing on 541 valid samples from tourists to Xidi and Hongcun, which are famous rural tourist destinations in China, both SEM and fsQCA were employed to capture the linear effects and configurational pathways leading to tourists’ loyalty to rural tourist destinations. The results indicate that conviviality, therapeutics, authenticity, and playfulness significantly enhance tourists’ memorable tourism experience, which subsequently strengthens their loyalty to rural tourist destinations. Complementing these findings, the fsQCA results reveal multiple equifinal and causally asymmetrical configurations associated with high loyalty. Through the combined use of symmetric and asymmetric approaches, this study offers a more holistic understanding of the formation of destination loyalty and provides theoretically grounded and practically meaningful insights for rural tourism development and strategic destination management.