AI in health tourism: developing a measurement scale
Kangping Wang, Haiyan Kong, Naipeng Bu, Honggen Xiao, Xuejie Qiu, Jinghan Li
Abstract
ABSTRACTThe COVID-19 pandemic created a strong urgency for the application of artificial intelligence (AI) in the tourism and hospitality industry. This paper was set to develop a scale of AI needs in health tourism. A total of 556 valid data were collected, and both exploratory and confirmatory factor analyses were employed to analyze the data. Six constructs containing 18 items were identified, and the reliability and validity were examined to reach satisfactory levels. The measurement scale developed may serve as a foundation for future research, and shed light on tourism managers, marketers, AI designers and policymakers.KEYWORDS: Artificial intelligence (AI)health tourismconstruction and validationmeasurement scalereliability and validity Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the National Social Science Fund of China [grant number 20BGL159].