Scale of Artificial Intelligence Applications in Health Tourism: A Study of Turkish Validity and Reliability Study

Abstract

In this study, it is aimed to develop a scale that can reveal the value of artificial intelligence applications in health tourism. The universe of the research consisted of lower, middle and upperlevel managers of private hospitals with international health tourism authorization certificate operating in the province of Istanbul. The sample of the research consists of 400 managers in total. Confirmatory factor analysis was performed on the obtained data under structural equation modeling. A total of 18 expressions are divided into six sub-dimensions. These dimensions are named as “Artificial Intelligence Sub-Dimension in Healthy Nutrition, Artificial Intelligence Sub- Dimension in Sustaining Health, Artificial Intelligence Sub-Dimension in Spiritual Entertainment, Artificial Intelligence Sub-Dimension in Tourism Transportation, Artificial Intelligence Sub-Dimension in Tourism Accommodation and Artificial Intelligence Sub- Dimension in Tourism Shopping”. It was determined that the model created by confirmatory factor analysis showed a perfect fit to the data. Determining the existence of valid fit with confirmatory factor analysis shows that construct validity is provided. In addition, the Cronbach α value for the reliability of the scale was found to be 0.889. This value shows that the scale has high reliability. Since reliability and validity were ensured, it was concluded that the "Artificial Intelligence Applications Scale in Health Tourism" is a valid and reliable data collection tool that can measure the attitude of managers towards the usability of artificial intelligence technologies in health tourism services.