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

被引:0
作者
Shin, Hakseung [1 ]
Ryu, Jiyoon [1 ]
Jo, Yujeong [1 ]
机构
[1] Hanyang Univ, Coll Social Sci, Sch Tourism, 222 Wangsimni Ro, Seoul 04763, South Korea
基金
新加坡国家研究基金会;
关键词
Artificial intelligence(AI); Automation; Technology adoption; Employee skills; Managerial framework; Future research questions; HOTEL SERVICE PROVIDERS; EMOTIONAL LABOR; TECHNOLOGY; INNOVATION; DIFFUSION; ENGAGEMENT; STRESS; IMPACT; WORK; SELF;
D O I
10.1016/j.ijhm.2025.104187
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页数:16
相关论文
共 35 条
[31]   Current and future implications of the artificial intelligence electrocardiogram: the transformation of healthcare and attendant research opportunities [J].
Harmon, David M. ;
Attia, Zachi, I ;
Friedman, Paul A. .
CARDIOVASCULAR RESEARCH, 2022, 118 (03) :E23-E25
[32]   Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis [J].
Kaushal, Neelam ;
Kaurav, Rahul Pratap Singh ;
Sivathanu, Brijesh ;
Kaushik, Neeraj .
MANAGEMENT REVIEW QUARTERLY, 2023, 73 (02) :455-493
[33]   Applications of Artificial Intelligence for Optimizing Banking and Financial Operations: A Systematic Literature Review and Future Research Agenda [J].
Singh, Rajesh Kr ;
Mishra, Ruchi ;
Kumar, Satish ;
Bag, Surajit .
JOURNAL OF ECONOMIC SURVEYS, 2025,
[34]   Leveraging artificial intelligence in firm-generated online customer communities: a framework and future research agenda [J].
Marti, Candice L. ;
Liu, Huimin ;
Kour, Gurpreet ;
Bilgihan, Anil ;
Xu, Yu .
JOURNAL OF SERVICE MANAGEMENT, 2024, 35 (03) :438-458
[35]   Pros and Cons of Artificial Intelligence-ChatGPT Adoption in Education Settings: A Literature Review and Future Research Agendas [J].
Maita I. ;
Saide S. ;
Putri A.M. ;
Muwardi D. .
IEEE Engineering Management Review, 2024, 52 (03) :27-42