Affiliation:
1. Research Institute of Business Analytics and Supply Chain Management, College of Management, Shenzhen University, Shenzhen 518060, China
2. Institute of Management Sciences, University of Science and Technology, Bannu 28100, KP, Pakistan
Abstract
This study aimed to assess the neglected conceptualization of smartness in the context of tourism and its probable consequences. Specifically, this study focused on investigating the relationships between sustainable smartness, usage barriers, value barriers, risk barriers, traditional barriers, image barriers, and tourists’ behavioral intentions regarding their stay in smart hotels. The conceptual model of this study is constructed based on innovation resistance theory. By engaging structural equation modeling (SEM) in Smart-PLS 3.2.8, we calculated data from 672 valid respondents. The findings demonstrate that smartness significantly affects usage, value, risk, and traditional and image barriers. Furthermore, we unearthed a significant effect of all barriers on tourists’ behavioral intentions.
Funder
Key Project of the National Social Science Foundation of China
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