AI in health tourism: developing a measurement scale

Kangping Wang, Haiyan Kong, Naipeng Bu, Honggen Xiao, Xuejie Qiu, Jinghan Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The 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.

Original languageEnglish
Pages (from-to)954-966
Number of pages13
JournalAsia Pacific Journal of Tourism Research
Volume27
Issue number9
DOIs
Publication statusPublished - 2022

Keywords

  • Artificial intelligence (AI)
  • construction and validation
  • health tourism
  • measurement scale
  • reliability and validity

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Tourism, Leisure and Hospitality Management

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