IDEAS home Printed from https://ideas.repec.org/a/eee/bushor/v64y2021i4p513-524.html
   My bibliography  Save this article

AI-enabled recruiting in the war for talent

Author

Listed:
  • Black, J. Stewart
  • van Esch, Patrick

Abstract

A large body of research has well established that changes in net balances between labor supply and demand can drive competition for human capital. We propose that AI-enabled recruiting tools constitute a force that will intensify the war for talent above and beyond episodic changes in net balances. We also propose that three seismic shifts will further intensify the war for talent by increasing the value of human capital and lowering its switching costs. Lastly, we bridge human resource management and military escalation literatures and examine how three key onset conditions relative to the use of AI-enabled recruiting tools have the potential to spark an arms race for those tools. Finally, we examine the managerial implications of these dynamics so that managers prevail not just in short-term skirmishes but also in the long-term war for talent.

Suggested Citation

  • Black, J. Stewart & van Esch, Patrick, 2021. "AI-enabled recruiting in the war for talent," Business Horizons, Elsevier, vol. 64(4), pages 513-524.
    • Handle: RePEc:eee:bushor:v:64:y:2021:i:4:p:513-524
    DOI: 10.1016/j.bushor.2021.02.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0007681321000173
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.bushor.2021.02.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pfeffer, Jeffrey, 2001. "Fighting the War for Talent is Hazardous to Your Organization's Health," Research Papers 1687, Stanford University, Graduate School of Business.
    2. Paschen, Jeannette & Wilson, Matthew & Ferreira, João J., 2020. "Collaborative intelligence: How human and artificial intelligence create value along the B2B sales funnel," Business Horizons, Elsevier, vol. 63(3), pages 403-414.
    3. Paschen, Ulrich & Pitt, Christine & Kietzmann, Jan, 2020. "Artificial intelligence: Building blocks and an innovation typology," Business Horizons, Elsevier, vol. 63(2), pages 147-155.
    4. Martin Neil Baily, 1974. "Wages and Employment under Uncertain Demand," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 41(1), pages 37-50.
    5. van Esch, Patrick & Black, J. Stewart, 2019. "Factors that influence new generation candidates to engage with and complete digital, AI-enabled recruiting," Business Horizons, Elsevier, vol. 62(6), pages 729-739.
    6. Black, J. Stewart & van Esch, Patrick, 2020. "AI-enabled recruiting: What is it and how should a manager use it?," Business Horizons, Elsevier, vol. 63(2), pages 215-226.
    7. Fernando Luco, 2019. "Switching Costs and Competition in Retirement Investment," American Economic Journal: Microeconomics, American Economic Association, vol. 11(2), pages 26-54, May.
    8. Gopi Shah Goda & Damon Jones & Colleen Flaherty Manchester, 2017. "Retirement Plan Type and Employee Mobility: The Role of Selection," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 654-679.
    9. Faiyaz Md. Iqbal, 2018. "Can Artificial Intelligence Change the Way in Which Companies Recruit, Train, Develop and Manage Human Resources in Workplace?," Asian Journal of Social Sciences and Management Studies, Asian Online Journal Publishing Group, vol. 5(3), pages 102-110.
    10. Haverstick, Kelly & Munnell, Alicia H. & Sanzenbacher, Geoffrey & Soto, Mauricio, 2010. "Pension type, tenure, and job mobility," Journal of Pension Economics and Finance, Cambridge University Press, vol. 9(4), pages 609-625, October.
    11. Scoones, David & Bernhardt, Dan, 1998. "Promotion, Turnover, and Discretionary Human Capital Acquisition," Journal of Labor Economics, University of Chicago Press, vol. 16(1), pages 122-141, January.
    12. Faiyaz Md. Iqbal, 2018. "Can Artificial Intelligence Change the Way in Which Companies Recruit, Train, Develop and Manage Human Resources in Workplace?," Asian Journal of Social Sciences and Management Studies, Asian Online Journal Publishing Group, vol. 5(3), pages 102-104.
    13. van Esch, Patrick & Mente, Margaret, 2018. "Marketing video-enabled social media as part of your e-recruitment strategy: Stop trying to be trendy," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 266-273.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Deepa, R. & Sekar, Srinivasan & Malik, Ashish & Kumar, Jitender & Attri, Rekha, 2024. "Impact of AI-focussed technologies on social and technical competencies for HR managers – A systematic review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 202(C).

    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. Xu, Yingzi & Shieh, Chih-Hui & van Esch, Patrick & Ling, I-Ling, 2020. "AI customer service: Task complexity, problem-solving ability, and usage intention," Australasian marketing journal, Elsevier, vol. 28(4), pages 189-199.
    2. Black, J. Stewart & van Esch, Patrick, 2020. "AI-enabled recruiting: What is it and how should a manager use it?," Business Horizons, Elsevier, vol. 63(2), pages 215-226.
    3. Prikshat, Verma & Islam, Mohammad & Patel, Parth & Malik, Ashish & Budhwar, Pawan & Gupta, Suraksha, 2023. "AI-Augmented HRM: Literature review and a proposed multilevel framework for future research," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    4. Abdelhalim, Esraa & Anazodo, Kemi Salawu & Gali, Nazha & Robson, Karen, 2024. "A framework of diversity, equity, and inclusion safeguards for chatbots," Business Horizons, Elsevier, vol. 67(5), pages 487-498.
    5. Miglena Stoyanova, 2022. "Impact Of Artificial Intelligence On Recruitment Process," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 184-191.
    6. Nick Drydakis, 2022. "Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic," Information Systems Frontiers, Springer, vol. 24(4), pages 1223-1247, August.
    7. Magdalena Graczyk-Kucharska & Robert Olszewski & Gerhard-Wilhelm Weber, 2023. "The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland Region," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 205-237, March.
    8. Colleen Flaherty Manchester, 2019. "Retirement plan type and worker mobility," IZA World of Labor, Institute of Labor Economics (IZA), pages 461-461, October.
    9. Manjul Gupta & Carlos M. Parra & Denis Dennehy, 2022. "Questioning Racial and Gender Bias in AI-based Recommendations: Do Espoused National Cultural Values Matter?," Information Systems Frontiers, Springer, vol. 24(5), pages 1465-1481, October.
    10. Deriu, Valerio & Pozharliev, Rumen & De Angelis, Matteo, 2024. "How trust and attachment styles jointly shape job candidates’ AI receptivity," Journal of Business Research, Elsevier, vol. 179(C).
    11. Pham, Phuoc & Zhang, Huilan & Gao, Wenlian & Zhu, Xiaowei, 2024. "Determinants and performance outcomes of artificial intelligence adoption: Evidence from U.S. Hospitals," Journal of Business Research, Elsevier, vol. 172(C).
    12. Jarrahi, Mohammad Hossein & Askay, David & Eshraghi, Ali & Smith, Preston, 2023. "Artificial intelligence and knowledge management: A partnership between human and AI," Business Horizons, Elsevier, vol. 66(1), pages 87-99.
    13. Campbell, Colin & Sands, Sean & Ferraro, Carla & Tsao, Hsiu-Yuan (Jody) & Mavrommatis, Alexis, 2020. "From data to action: How marketers can leverage AI," Business Horizons, Elsevier, vol. 63(2), pages 227-243.
    14. G L Clark & J Whiteman, 1983. "Why Poor People Do Not Move: Job Search Behavior and Disequilibrium Amongst Local Labor Markets," Environment and Planning A, , vol. 15(1), pages 85-104, January.
    15. Lloyd Ulman, 1992. "Why Should Human Resource Managers Pay High Wages?," British Journal of Industrial Relations, London School of Economics, vol. 30(2), pages 177-212, June.
    16. Robertson, Jeandri & Ferreira, Caitlin & Botha, Elsamari & Oosthuizen, Kim, 2024. "Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction," Business Horizons, Elsevier, vol. 67(5), pages 499-510.
    17. repec:hal:spmain:info:hdl:2441/8811 is not listed on IDEAS
    18. Oyer, Paul & Schaefer, Scott, 2011. "Personnel Economics: Hiring and Incentives," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 20, pages 1769-1823, Elsevier.
    19. Christian Calmès, 2005. "Self-Enforcing Labour Contracts and the Dynamics Puzzle," Staff Working Papers 05-1, Bank of Canada.
    20. 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.
    21. Peter Cappelli, 1995. "Rethinking Employment," British Journal of Industrial Relations, London School of Economics, vol. 33(4), pages 563-602, December.

    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:eee:bushor:v:64:y:2021:i:4:p:513-524. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/bushor .

    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.