Evolution of tourism risk perception: A bibliometrics analysis on multi-dimensional model

• Published in: Procedia computer science Vol. 214; pp. 1198 - 1205
• Main Authors: Lin, Ying Zi, Xu, Chao Nan, Peng, Ya Jie, Xu, Xin Long
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2022
• Subjects: bibliometrics; Multidimensional model; Risk perception; Tourism management; Web of Science data; Tourism management; Risk perception; Web of Science data; bibliometrics; Multidimensional model
• DOI: 10.1016/j.procs.2022.11.296
• ISSN: 1877-0509

How can we establish a risk perception model and method to guide safety management has become an important issue that needs to be solved urgently in the field of tourism management. However, the solution to this issue is inseparable from the objective analysis, induction and deduction, and the analysis of the frontier trend towards the multidimensional model of tourism risk perception. In this paper, 211 articles from the Web of Science are selected as the research object, and the bibliometric analysis is applied to find: (1) Research on tourism risk perception based on multidimensional models can be divided into nascent, developmental, and mature stages; (2) The research on the multi-dimensional model of tourism risk perception has formed a group of academic groups with outstanding contributions and representative authors; (3) The research hotspots in multidimensional models of tourism risk perception focus on the comprehensive study of perceived risk, the outbreak of COVID-19, psychological risk, destination image, and behavioral intention. On this basis, this paper proposes some corresponding research suggestions to address the inadequacies of existing studies, and the research findings have significant theoretical implications for the construction of the theoretical system of tourism risk management.