Unveiling key drivers for social robot adoption in the hospitality sector: Two-phase confirmatory factor analysis and structural equation modeling approach

This data set measures the hotel industry's intention to adopt social robots. Data was collected from the employees of five-star hotels. Data-based research is based on primary surveys conducted at five-star hotels, and a standardised questionnaire was established to conduct interviews. Following the conclusion of the procedure for collecting the data, a structural equation modelling approach was employed to evaluate the hypothesis. The results provide exploratory factor analysis, confirmatory factor analysis and structural equation modelling. This data set will contribute significantly to the literature on social robots in the hospitality sector. This data set will help the practitioners work on major problem factors for improving the quality of partnering relationships between key participants in their present and future hospitality sectors. By removing or minimizing these problem factors, the practitioners will be contributing considerably towards effective hotel sectors. The data would be valuable for academics and industry professionals working with the hotel business nationally and internationally.