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Artificial intelligence as a boundary-crossing object for employee engagement and performance

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  • Prentice, Catherine
  • Wong, IpKin Anthony
  • Lin, Zhiwei (CJ)

Abstract

The study proposes AI-powered tools and applications as boundary-crossing objects to examine how AI performance can affect employees' job engagement, service and job performance. Job security is modelled as a moderator in the boundary-crossing process. Several theories including boundary crossing, goal setting and self-regulation are drawn on to posit these relationships. The study was undertaken with Australia-based full-time employees who had experience with AI-powered tools at work. The results show that AI performance had a significant effect on job engagement, and employee service performance, which were significantly related to job performance appraisal. Job engagement and service performance exhibited significant mediation effects between AI and job performance. The moderation effect exerted by job security was significant in enhancing employees’ job engagement and service performance. The study contributes to service research and human resource management literature. The findings have implications for service marketers and human resource practitioners.

Suggested Citation

  • Prentice, Catherine & Wong, IpKin Anthony & Lin, Zhiwei (CJ), 2023. "Artificial intelligence as a boundary-crossing object for employee engagement and performance," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:joreco:v:73:y:2023:i:c:s0969698923001236
    DOI: 10.1016/j.jretconser.2023.103376
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    References listed on IDEAS

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    1. Prentice, Catherine, 2016. "Leveraging employee emotional intelligence in casino profitability," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 127-134.
    2. Prentice, Catherine & Nguyen, Mai, 2020. "Engaging and retaining customers with AI and employee service," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    3. M. Pidd, 2005. "Perversity in public service performance measurement," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 54(5/6), pages 482-493, July.
    4. Tran, Anh D. & Pallant, Jason I. & Johnson, Lester W., 2021. "Exploring the impact of chatbots on consumer sentiment and expectations in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    5. Latham, Gary P. & Locke, Edwin A., 1991. "Self-regulation through goal setting," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 212-247, December.
    6. Brougham, David & Haar, Jarrod, 2020. "Technological disruption and employment: The influence on job insecurity and turnover intentions: A multi-country study," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    7. Daniel Belanche & Luis V. Casaló & Carlos Flavián & Jeroen Schepers, 2020. "Service robot implementation: a theoretical framework and research agenda," The Service Industries Journal, Taylor & Francis Journals, vol. 40(3-4), pages 203-225, March.
    8. Yuan, Chunlin & Zhang, Chenlei & Wang, Shuman, 2022. "Social anxiety as a moderator in consumer willingness to accept AI assistants based on utilitarian and hedonic values," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    9. Ashish Malik & Praveena Thevisuthan & Thedushika Sliva, 2022. "Artificial Intelligence, Employee Engagement, Experience, and HRM," Springer Texts in Business and Economics, in: Ashish Malik (ed.), Strategic Human Resource Management and Employment Relations, edition 2, pages 171-184, Springer.
    10. Dewie Tri Wijayati & Zainur Rahman & A’rasy Fahrullah & Muhammad Fajar Wahyudi Rahman & Ika Diyah Candra Arifah & Achmad Kautsar, 2022. "A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership," International Journal of Manpower, Emerald Group Publishing Limited, vol. 43(2), pages 486-512, January.
    11. Prentice, Catherine & King, Brian E.M., 2013. "Impacts of personality, emotional intelligence and adaptiveness on service performance of casino hosts: A hierarchical approach," Journal of Business Research, Elsevier, vol. 66(9), pages 1637-1643.
    12. Prentice, Dr Catherine, 2019. "Managing service encounters with emotional intelligence," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 344-351.
    13. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
    14. Chuah, Stephanie Hui-Wen & Yu, Joanne, 2021. "The future of service: The power of emotion in human-robot interaction," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
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    Cited by:

    1. Zhou, Shuai & Yi, Ni & Rasiah, Rajah & Zhao, Haipeng & Mo, Zile, 2024. "An empirical study on the dark side of service employees’ AI awareness: Behavioral responses, emotional mechanisms, and mitigating factors," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    2. Armenia, Stefano & Franco, Eduardo & Iandolo, Francesca & Maielli, Giuliano & Vito, Pietro, 2024. "Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    3. Duygu Akdevelioglu & Selcan Kara & Victor Perotti, 2024. "The impact of consumer personality and social network position on brand community engagement," Journal of Brand Management, Palgrave Macmillan, vol. 31(3), pages 235-250, May.

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