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This thesis explores the impact of Artificial Intelligence (AI) on hotel management, focusing on the transformation of managerial roles, staff practices, and operational efficiency. Tracing AI’s evolution from early theories to current applications, the study adopts a qualitative, exploratory approach. The research will be based on semi-structured interviews with managers in Asia and Europe. The thematic analysis reveals a shift from routine supervision to strategic decision-making, along with challenges such as resistance to change, ethical concerns, and cultural influences. Preliminary findings serve as the basis for refined hypotheses to be tested in a subsequent action research phase. The ultimate aim is to offer practical recommendations that balance technological innovation with human-centered management to ensure sustainable growth in the hospitality sector.