IDEAS home Printed from https://ideas.repec.org/p/zbw/itsb24/302513.html
   My bibliography  Save this paper

How workers let artificial intelligence recruit and dismiss?

Author

Listed:
  • Lee, Jaehyun
  • Lim, Jihye
  • Hwang, Junseok
  • Lee, Junmin

Abstract

As artificial intelligence (AI) advances, it has become involved in decision-making that can significantly affect people's lives. Organizations have adopted AI in their human resource planning which makes decisions over workers and impacts their livelihoods. For the impact of decisions, it can potentially lead to conflicting opinions within organizations. When workers form their opinions on AI decision-making, how do the counterparts surrounding them, namely the organization and the AI, affect their opinions? To answer this question, we analyze how workers' trust created by the organization and their perceptions arising from the AI influence their opinions on allowing AI to make decisions of recruitment and dismissal. We find that workers' trust in organizational management of AI significantly affects their permission for AI to decide who is recruited and dismissed. Also, we confirm that workers' perceptions on AI are significant factors influencing their trust in organizational management of AI. Our findings suggest that in organizations where workers' trust in organizational management of AI is established, AI can be applied to make critical decisions about individuals. These results imply that as AI becomes more commonly involved in organizations' decision-making, the role of managing trust within organizations will become increasingly significant.

Suggested Citation

  • Lee, Jaehyun & Lim, Jihye & Hwang, Junseok & Lee, Junmin, 2024. "How workers let artificial intelligence recruit and dismiss?," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302513, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsb24:302513
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/302513/1/ITS-Seoul-2024-paper-108.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Lixuan & Yencha, Christopher, 2022. "Examining perceptions towards hiring algorithms," Technology in Society, Elsevier, vol. 68(C).
    2. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    3. Andrew Prahl & Lyn Van Swol, 2017. "Understanding algorithm aversion: When is advice from automation discounted?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(6), pages 691-702, September.
    4. Nishtha Malik & Shalini Nath Tripathi & Arpan Kumar Kar & Shivam Gupta, 2021. "Impact of artificial intelligence on employees working in industry 4.0 led organizations," International Journal of Manpower, Emerald Group Publishing Limited, vol. 43(2), pages 334-354, June.
    5. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
    6. Geisler, Eliezer, 1986. "Artificial management and the artificial manager," Business Horizons, Elsevier, vol. 29(4), pages 17-21.
    7. Paschen, Ulrich & Pitt, Christine & Kietzmann, Jan, 2020. "Artificial intelligence: Building blocks and an innovation typology," Business Horizons, Elsevier, vol. 63(2), pages 147-155.
    8. Lisa Marie Giermindl & Franz Strich & Oliver Christ & Ulrich Leicht-Deobald & Abdullah Redzepi, 2022. "The dark sides of people analytics: reviewing the perils for organisations and employees," European Journal of Information Systems, Taylor & Francis Journals, vol. 31(3), pages 410-435, May.
    9. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    10. Mohammad Rabiul Basher Rubel & Daisy Mui Hung Kee & Nadia Newaz Rimi & Yusliza Mohd Yusoff, 2017. "Adapting technology: effect of high-involvement HRM and organisational trust," Behaviour and Information Technology, Taylor & Francis Journals, vol. 36(3), pages 281-293, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ayat Sami ODEIBAT, 2021. "The Effect Of Technology Evolution On The Future Of Jobs," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 17, pages 57-67, June.
    2. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    3. Kevin Bauer & Andrej Gill, 2024. "Mirror, Mirror on the Wall: Algorithmic Assessments, Transparency, and Self-Fulfilling Prophecies," Information Systems Research, INFORMS, vol. 35(1), pages 226-248, March.
    4. Sullivan, Yulia & Fosso Wamba, Samuel, 2024. "Artificial intelligence and adaptive response to market changes: A strategy to enhance firm performance and innovation," Journal of Business Research, Elsevier, vol. 174(C).
    5. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    6. Joseph A. Cazier & Benjamin B. M. Shao & Robert D. St. Louis, 2007. "Sharing information and building trust through value congruence," Information Systems Frontiers, Springer, vol. 9(5), pages 515-529, November.
    7. Cheng, Junjun & Chen, Bo & Huang, Zihang, 2023. "Collective-based ad transparency in targeted hotel advertising: Consumers’ regulatory focus underlying the crowd safety effect," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    8. Ahmed Ibrahim Alzahrani & T. Ramayah & Nalini Suppiah & Osama Alfarraj & Nasser Alalwan, 2020. "Modeling Blog Usage From a Developing Country Perspective Using Structural Equation Modeling (SEM)," SAGE Open, , vol. 10(3), pages 21582440209, July.
    9. Hwang, ShinYoung & Kim Seongcheol, 2017. "What triggers the use of mIM service provider’s sequel O2O service extensions?," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168494, International Telecommunications Society (ITS).
    10. Yongping Bao & Ludwig Danwitz & Fabian Dvorak & Sebastian Fehrler & Lars Hornuf & Hsuan Yu Lin & Bettina von Helversen, 2022. "Similarity and Consistency in Algorithm-Guided Exploration," CESifo Working Paper Series 10188, CESifo.
    11. Wu Li & Pengya Ai & Annette Ding, 2023. "More Than Just Numbers: How Engagement Metrics Influence User Intention to Pay for Online Knowledge Products," SAGE Open, , vol. 13(1), pages 21582440221, January.
    12. Nitin Walia & Mark Srite & Wendy Huddleston, 2016. "Eyeing the web interface: the influence of price, product, and personal involvement," Electronic Commerce Research, Springer, vol. 16(3), pages 297-333, September.
    13. Mario Silic & Andrea Back, 2016. "The Influence of Risk Factors in Decision-Making Process for Open Source Software Adoption," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 151-185, January.
    14. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    15. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    16. Lin Jia & Xiuwei Song & Dianne Hall, 2022. "Influence of Habits on Mobile Payment Acceptance: An Ecosystem Perspective," Information Systems Frontiers, Springer, vol. 24(1), pages 247-266, February.
    17. Rosa Lombardi & Raffaele Trequattrini & Federico Schimperna & Myriam Cano-Rubio, 2021. "The Impact of Smart Technologies on theManagement and Strategic Control: A Structured Literature Review," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2021(suppl. 1), pages 11-30.
    18. De Cicco, Roberta & Iacobucci, Serena & Cannito, Loreta & Onesti, Gianni & Ceccato, Irene & Palumbo, Riccardo, 2024. "Virtual vs. human influencer: Effects on users’ perceptions and brand outcomes," Technology in Society, Elsevier, vol. 77(C).
    19. Nikola Soukupová & Markéta Kocourková & Kateřina Drahotová, 2024. "Current Approaches of Stress Management in the Czech Business Environment," Central European Business Review, Prague University of Economics and Business, vol. 2024(5), pages 95-124.
    20. Song, Lianlian & Hu, Baixue & Mou, Jian, 2021. "Investigating consumer binge-watching behavior: A valence framework perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).

    More about this item

    Keywords

    artificial intelligence; worker trust; organizational decision; human resource; decision making;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:itsb24:302513. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itsworld.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.