This study aims to explore the sustainable development of the regional economy from the perspective of human capital. Based on the panel data from 2005 to 2019 in Shandong Province, China, this study first analyzes the interactive coupling mechanism between human capital and sustainable economic growth, and then constructs the evaluation model of coupling coordination degree. Results reveal that Shandong Province’s human capital and sustainable economic growth gradually increased; the coupling coordination degree of human capital and sustainable economic growth changed from a state of mild imbalance to slight coordination; sustainable economic growth lagged human capital development; education scale, innovation capacity, growth level, economic openness, and investment and consumption level are the key factors affecting sustainable economic development. Through the above research, the study puts forward policy suggestions conducive to sustainable development in China.

When artificial intelligence technology erodes employees' professional knowledge, they tend to feel highly anxious, and turnover intention is created. This study aimed to test the impact of the perceived threat of artificial intelligence on turnover intention through perceived organizational support and the perceived value of artificial intelligence. The method and procedure were as follow: construct a theoretical framework and propose hypotheses - collect questionnaires through voluntary sampling - use a two-step approach to test the model. This study has some findings. Theoretically, this study proposes a conceptual model of artificial intelligence perception. The combination of technology threat avoidance, organizational support, and perceived value theories applies to the research background of this study. Methodologically, the relationship between the perceived threat of artificial intelligence, perceived organizational support, perceived value of artificial intelligence, and turnover intention variables was studied together for the first time, and the perceived value of artificial intelligence as a new significant mediator between perceived organizational support and turnover intention is discovered. Managementarily, when facing the threats of artificial intelligence to employees, hotel managers should emphasize organizational support, especially in finance, career, and adjustment. This study has important implications for luxury hotel management. First, hotel employees' perceptions of artificial intelligence are dual. Second, luxury hotel managers should consider perceived organizational support to be a key variable.

As a novel experiential approach, live streaming at tourist destinations has garnered significant attention and profoundly impacts tourists’ travel decisions. This study aims to validate the effects of usefulness, authenticity, and interactivity of destination live streams on the decision-making process of tourists. Grounded in stimulus–organism–response (S-O-R) theory, this research identifies the usefulness, authenticity, and interactivity of destination live streams as the “stimulus,” while telepresence and trust as the “organism,” with tourists’ travel decisions as the “response.” Utilizing survey questionnaires, 274 valid data were collected and analyzed through structural equation modeling in SPSS 26.0 and Amos 28.0 software to assess the impact of destination live streams on tourists’ travel decisions. The findings reveal that both interactivity and authenticity positively influence tourists’ telepresence. Additionally, the usefulness, interactivity, and authenticity of these live streams also positively affect perceived trust among viewers, which subsequently enhances their travel decisions. This study highlights the usefulness, authenticity, and interactivity as external stimuli in destination live streams, elucidating their influence on tourists’ travel decisions and contributing to the understanding of the live streaming phenomenon within the tourism sector.

This study focuses on the early stage of high-speed railways (HSRs) and corrects problems in a timely manner and integrates the direction for tourism development. Its aim is to realize the sustainable development of mountain tourism in the southwest region of China. Based on the panel data from 2010 to 2019 of 39 cities in Guizhou, Guangxi, and Yunnan provinces, which are in the southwest mountainous region of China, and using data envelope analyses, the Malmquist productivity index, the Tobit model, and the intermediary effect, this study verifies the impact of core factors on the development efficiency of mountain tourism in the early stage of an HSR to find the problems existing in tourism development at present and in future stages. Results show the following: (1) In its early stage, an HSR is not yet the key factor to improve the efficiency of tourism development in the mountainous region. (2) The promotion effect of an HSR on the efficiency of tourism development is delayed. (3) In its early stage, an HSR breaks the balance of resource investment and wastes resources. (4) Taking HSRs is born out of the rigid demand of residents in the mountainous region rather than of their income levels. (5) Accessibility in mountain tourism plays a positive role between HSRs and the efficiency of tourism development.

The hotel industry’s artificial intelligence (AI) technology has increasingly become a topic of concern in academia and business circles. At the same time, scholars pay more and more attention to how AI technology affects employee turnover intention (TI). The current research empirically tested the impact of perceived organizational support (POS) on TI from the perspective of employees’ perceived value of AI (PVAI). The data were collected from the in-service employees of five-star rated ‘luxury’ hotels in 28 provinces of China through questionnaires and then analysed using Smart PLS (4.0) software using the structural equation method. The results show that POS has a significant effect on employees’ TI (compared with FPOS, CPOS and APOS are more prominent), POS has a significant effect on PVAI from employees, PVAI has a significant effect on employees’ TI and plays a significant mediating role (the effect size is 50.557%) between POS and TI in luxury hotels. This study is the first to propose a conceptual model with the PVAI as the mediator and verify its rationality, which has generated significant theoretical, methodological and managerial contributions for luxury hotels in the application of AI technology.