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AI awareness and employee-related outcomes: A systematic review of the hospitality literature and a framework for future research
International Journal of Hospitality Management ( IF 9.9 ) Pub Date : 2024-10-19 , DOI: 10.1016/j.ijhm.2024.103973
Selim Bakir, Tarik Dogru, Anil Bilgihan, Baker Ayoun

Artificial intelligence (AI) adoption is expected to increase in the hospitality industry due to its efficiency and effectiveness in operations. Despite its immense benefits, AI adoption might lead to adverse employee-related outcomes, such as job replacement threats, job insecurity, and higher turnover. However, the findings from limited research on this phenomenon are inconclusive. This study aims to systematically review the extant literature on the relationship between AI awareness and employee-related outcomes in the hospitality industry. Based on the fundamental theories, central assumptions, and constructs that underpin existing research, we identify the gaps in the existing literature, develop a conceptual framework that holistically explains the relationship between AI awareness and employee-related outcomes, and propose future research directions. The findings make significant contributions to the extant literature and provide hospitality executives with insights to promote increased employee engagement and facilitate positive awareness regarding AI applications in the workplace, ultimately improving employee retention.

中文翻译:


人工智能意识和员工相关结果:酒店业文献的系统评价和未来研究框架



由于其运营效率和有效性,预计人工智能 (AI) 在酒店业的采用将会增加。尽管人工智能具有巨大的好处,但人工智能的采用可能会导致与员工相关的不利结果,例如失业威胁、工作不安全和更高的人员流动率。然而,对这种现象的有限研究结果尚无定论。本研究旨在系统回顾关于酒店业 AI 意识与员工相关结果之间关系的现有文献。基于支撑现有研究的基础理论、中心假设和结构,我们确定了现有文献中的差距,开发了一个概念框架,全面解释了人工智能意识与员工相关结果之间的关系,并提出了未来的研究方向。这些发现对现有文献做出了重大贡献,并为酒店高管提供了见解,以促进提高员工敬业度并促进对工作场所 AI 应用的积极认识,最终提高员工保留率。
更新日期:2024-10-19
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