The aim of this study was mainly to analyze the operating efficiency of Green Hotels during the epidemic, and to explore whether hotels that pay more attention to green energy and saving energy would be more economically efficient. The object of this study is the top 20 Green Hotels voted on the European Union Internet Forum from 2018 to 2022. According to the empirical results, all Green Hotels were affected by COVID-19, and their operating efficiency became worse. This study further used Tobit regression to find out the factors that affect the operating efficiency, and performs regression analysis on the efficiency values of the green energy environment variables. The findings showed that the green energy equipment of EU-certified Green Hotels had a negative effect on the operating efficiency, with a coefficient value of −0.362, indicating that the investment in green energy equipment cannot be achieved in a short period of time. In addition, the education level of managers and hotel green energy licenses have positive effects on the operating efficiency of Green Hotels. In particular, when the Green Hotel licenses are the most important, they have the highest coefficient value of the efficiency of Green Hotels at 0.484. This means that the higher the education level of Green Hotel managers and the higher the level of the Green Hotel license, the higher the operating efficiency. These findings suggest that Green Hotel management should pay attention to its green certificate level and the education knowledge of managers, so as to achieve sustainable energy saving and to improve operating efficiency.

Cause and effect diagram, Specification limit, Matrix analysis,

The object of the study is to use the technology acceptance model to explore the willingness and pattern of usage of the consumers. 205 valid questionnaires were collected by using the Google online survey platform. Using IBM SPSS and AMOS Statistics 20.0 software, first background information was analyzed, then CFA was used to analyze the relationship between variables, and SEM was used to verify the rationality of the measurement model. The result discovered that there is a positive effect on perceived usefulness by perceived utility of usage by the users. There is a positive effect on usage intention by perceived utility. There is a positive effect on perceived curiosity by perceived utility. There is a positive effect on usage intention by perceived usefulness, and there is a positive effect on usage willingness by social support for the wearable device users. However, there is no positive effect on usage willingness by perceived curiosity. Conclusion. If the industry can provide consumers with a good experience, it will help enhance consumer attitudes, increase consumer willingness, and continue to enhance consumer curiosity. Simply satisfying consumers' curiosity cannot increase consumer willingness, but social support will affect consumers' willingness to use.