Artificial intelligence through the lens of hospitality employees: A systematic review
Ekta Kumawat, Amit Datta, Catherine Prentice, Rosanna Leung
Abstract
The hospitality industry has undergone a comprehensive transformation with the infusion of artificial intelligence into its processes, but the employees’ adoption of artificial intelligence has been scantly studied. This systematic review comprises 80 empirical articles listed in the Scopus database that study hospitality employees as key participants, which were selected using the PRISMA approach. We used bibliometric analysis to identify the most prominent countries, journals, authors, and keywords and then applied the TCCM framework to gain a deeper understanding. The synthesis draws upon various theories, characteristics, contexts, and methodologies. The prominent antecedents, outcomes, mediators, and moderators are identified while highlighting their linkage. This study will help managers, policymakers, and owners comprehensively understand AI adoption and its impact on hospitality employees. The future research agenda provides theoretical, contextual, empirical, and methodological directions paving the way for hospitality to move toward the achievement of Sustainable Development Goals (SDGs).