Well-being, turnover intention, and job engagement were identified as the most significant and most commonly studied outcomes of AI adoption.
📌 3 Maddede Bu Makale
🎯
Amaç & Hipotez:The aim of this systematic literature review is to analyze the existing literature on the impact of artificial intelligence (AI) on employee work outcomes in the hospitality industry context.
📊
Temel Bulgular & Veri:Eighteen articles have been found in 12 journals and analyzed through deductive approach.
💡
Sonuç & Katkı:Well-being, turnover intention, and job engagement were identified as the most significant and most commonly studied outcomes of AI adoption.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:artificial intelligence · systematic literature review · hospitality employees
Abstract
The aim of this systematic literature review is to analyze the existing literature on the impact of artificial intelligence (AI) on employee work outcomes in the hospitality industry context. This paper systematically reviews the association between AI and employee work outcomes through an extensive literature review of published peer-reviewed English articles. Eighteen articles have been found in 12 journals and analyzed through deductive approach. The findings were synthesized into three major themes: enablers or inhibitors of AI adoption, the type of AI-related technique, outcomes of AI adoption. Well-being, turnover intention, and job engagement were identified as the most significant and most commonly studied outcomes of AI adoption.
ERSOY, A., EHTİYAR, R. (2023). The Impact of Artificial Intelligence on Hospitality Employees’ Work Outcomes. Advances in Hospitality and Tourism Research (AHTR), Cilt: 11 Sayı: 4, 505–526. https://ajindex.com/articles/1021282
Agarwal, M., Yadav, A., & Kumar Sharma, S. (2021). Role of artificial intelligence on job engagement and employee behavior in an organization. Paper presented at the International Conference on Embracing Change & Transformation-Breakthrough Innovation and Creativity, 23-25
March. Alansari, H., Gerwe, O., & Razzaque, A. (2021). Role of artificial intelligence during the Covid-19 Era. In A. Musleh Al-Sartawi (Ed.), The Big Data-Driven Digital Economy: Artificial and Computational Intelligence (pp. 157-173).
Springer Nature, Cham, Switzerland. Al-Haddad, S., & Kotnour, T. (2015). Integrating the organizational change literature: A model for successful change. Journal of Organizational Change Management, 28(2), 234-262.
Alsheibani, S., Cheung, Y., & Messom, C. (2018). Artificial intelligence adoption: AI-readiness at firm-level. PACIS Proceedings, 37. Alsheibani, S., Messom, C., & Cheung, Y. (2020). Re-thinking the competitive landscape of artificial intelligence. Paper presented at the Proceedings of the 53rd Hawaii international conference on system sciences. Armenakis, A.A., & Bedeian, A.G. (1999). Organizational change: a review of theory and research in the 1990s. Journal of Management, 25(3), 293-315.
Battilana, J., Gilmartin, M., Sengul, M., Pache, A.C., & Alexander, J.A. (2010). Leadership competencies for implementing planned organizational change. The Leadership Quarterly, 21(3), 422-438.
Behl, A., Chavan, M., Jain, K., Sharma, I., Pereira, V.E., & Zhang, J.Z. (2021). The role of organizational culture and voluntariness in the adoption of artificial intelligence for disaster relief operations. International Journal of Manpower, 43(2), 569-586.
Borges, A.F.S., Laurindo, F.J.B., Spínola, M.M., Gonçalves, R.F., & Mattos, C.A. (2021). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management, 57, 102225. Bowen, J., & Morosan, C. (2018). Beware hospitality industry: The robots are coming. Worldwide Hospitality and Tourism Themes, 10(6), 726-733.
Braganza, A., Chen, W., Canhoto, A., & Sap, S. (2021). Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust”. Journal of Business Research, 131, 485-494.
Brougham, D., & Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees' perceptions of our future workplace. Journal of Manage