Revised Data Set for Publication in Data in Brief
Description
A Data Article on Unveiling Key Drivers for Social Robot Adoption in the Hospitality Sector: Two-Phase Confirmatory Factor Analysis and Structural Equation Modeling Approach • The data collected helps to identify the intention to adopt social robots. The present study 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. • A preliminary questionnaire was sent to experts (ten prominent academic scholars and seven working professionals in the robotics and hotel industries) to evaluate its sufficiency and completeness. The academic experts were selected based on their work in robotics and the hospitality industry. • In addition, the specialists' current employment in the hospitality business was a criterion for their selection. Five academic scholars and four industry workers volunteered to respond to the survey. • The target respondents were employees in five-star hotels who were knowledgeable about various technology adoptions. The target respondents were employees of five-star hotels with expertise in various technology adoptions. This dataset serves as a valuable resource for the hospitality sector to gain insights into technology readiness and adoption within the industry. It is intended solely for academic, teaching, and training purposes.
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University of Debrecen