Generation Z Satisfaction with Smart Homestays: ASCI and Web Crawler Insights from China

Abstract

In the digital context, smart homestays have developed rapidly in the post-epidemic era and have become a new form of accommodation. Homestays are favored by many young people in China, such as those belonging to Generation Z. According to data concerning China’s national tourism and related reports, the demand for homestays has increased dramatically in recent years. Thus, we need to consider how to improve the smart homestay user experience. Based on the American Customer Satisfaction Index (ACSI) model, this study explores the factors that affect the user experience of smart homestays. An online survey of 370 respondents of Generation Z in China was conducted, followed by descriptive statistical analysis and hypothesis model validation using SPSS 26.0. The data show that among the five service variables (reservation, check-in, living, check-out, and information sharing), perceived value has a positive and positive impact on service variables in all aspects. Finally, machine learning is used for emotion text analysis, and the results show that users are biased towards smart homestays in the sentiment analysis of the comments. Although smart homestays have a certain amount of attention, there is still a lot of room for progress in technology and services. The purpose of this study is to improve and perfect the rules for making smart homestay service standards based on understanding the satisfaction of Generation Z when using smart homestays while also providing a theoretical basis and practical manuals for the industry to promote the development of the industry and improve user experience. Based on the research results of the above literature, it is imperative to carry out research on Generation Z, the main force of future consumption, especially in the field of artificial intelligence.