Navigating artificial intelligence adoption in hospitality and tourism: managerial insights, workforce transformation, and a future research agenda

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16
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19

초록

As artificial intelligence (AI) and automation technologies continue to advance, hospitality businesses must embrace these innovations to remain competitive. While previous research has primarily focused on employee perspectives regarding issues such as retention and service quality, this study takes a managerial viewpoint to explore the factors influencing AI adoption, the managerial outcomes, and the evolving skill sets needed for frontline employees in the era of AI and automation. Through in-depth qualitative interviews with twenty-two accommodation managers and directors, recurring themes were identified, analyzed, and presented using thematic analysis. This approach revealed both facilitating and inhibiting factors in the adoption of AI technologies and provided insights into the consequences of such adoption. Moreover, the study proposes five essential skills necessary for frontline hospitality employees as AI becomes more prevalent. Building on these findings, the research presents a managerial framework and outlines a set of practical considerations and academic research questions to guide future investigations.

키워드

Artificial intelligence(AI)AutomationEmployee skillsFuture research questionsManagerial frameworkTechnology adoptionHOTEL SERVICE PROVIDERSEMOTIONAL LABORTECHNOLOGYINNOVATIONDIFFUSIONENGAGEMENTSTRESSIMPACTWORKSELF
제목
Navigating artificial intelligence adoption in hospitality and tourism: managerial insights, workforce transformation, and a future research agenda
저자
Shin, HakseungRyu, JiyoonJo, Yujeong
DOI
10.1016/j.ijhm.2025.104187
발행일
2025-07
유형
Article
저널명
International Journal of Hospitality Management
128
페이지
1 ~ 16