Abstract
AbstractEmployee turnover has been one of the main concerns facing the hospitality industry. This issue seems to be aggravated in artificial intelligence (AI) environment, where AI implementation is associated with pressure, job alienation, and labor replacement, increasing workers’ desire to quit their job. To analyze the relationship between AI awareness, job alienation, discrimination, and turnover intention, an online survey was distributed to hospitality employees (n = 450). From a series of independent-samples T-tests and regression analyses, this study found employees’ turnover intentions are significantly associated with employees’ concerns of being replaced by AI, perception of job alienation, and workplace discrimination. Importantly, current algorithmically managed workers tend to feel more powerless and discriminated against, and thus have higher turnover intentions. Recommendations for practice and future research are provided.
Publisher
Springer Nature Switzerland
Reference15 articles.
1. Kellogg, K.C., Valentine, M.A., Christin, A.: Algorithms at work: the new contested terrain of control. Acad. Manag. Ann. 14(1), 366–410 (2020). https://doi.org/10.5465/annals.2018.0174
2. McAfee, A., Brynjolfsson, E.: Machine, Platform, Crowd: Harnessing Our Digital Future. WW Norton & Company, New York (2017)
3. Rosenblat, A., Levy, K.E.C., Barocas, S., Hwang, T.: Discriminating tastes: Uber’s customer ratings as vehicles for workplace discrimination. Policy Internet 9(3), 256–279 (2017). https://doi.org/10.1002/poi3.153
4. Möhlmann, M., Zalmanson, L.: Hands on the wheel: navigating algorithmic management and Uber drivers’ autonomy. In: Proceedings of the Thirty Eighth International Conference on Information Systems (ICIS 2017), pp. 1–17. Seoul, South Korea, December 2017
5. Lecture Notes in Computer Science;MH Jarrahi,2019
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献