IDEAS home Printed from https://ideas.repec.org/a/cup/inorps/v9y2016i03p621-640_00.html
   My bibliography  Save this article

New Talent Signals: Shiny New Objects or a Brave New World?

Author

Listed:
  • Chamorro-Premuzic, Tomas
  • Winsborough, Dave
  • Sherman, Ryne A.
  • Hogan, Robert

Abstract

Almost 20 years after McKinsey introduced the idea of a war for talent, technology is disrupting the talent identification industry. From smartphone profiling apps to workplace big data, the digital revolution has produced a wide range of new tools for making quick and cheap inferences about human potential and predicting future work performance. However, academic industrial–organizational (I-O) psychologists appear to be mostly spectators. Indeed, there is little scientific research on innovative assessment methods, leaving human resources (HR) practitioners with no credible evidence to evaluate the utility of such tools. To this end, this article provides an overview of new talent identification tools, using traditional workplace assessment methods as the organizing framework for classifying and evaluating new tools, which are largely technologically enhanced versions of traditional methods. We highlight some opportunities and challenges for I-O psychology practitioners interested in exploring and improving these innovations.

Suggested Citation

  • Chamorro-Premuzic, Tomas & Winsborough, Dave & Sherman, Ryne A. & Hogan, Robert, 2016. "New Talent Signals: Shiny New Objects or a Brave New World?," Industrial and Organizational Psychology, Cambridge University Press, vol. 9(3), pages 621-640, September.
    • Handle: RePEc:cup:inorps:v:9:y:2016:i:03:p:621-640_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1754942616000067/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Anna Lena Hunkenschroer & Christoph Luetge, 2022. "Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda," Journal of Business Ethics, Springer, vol. 178(4), pages 977-1007, July.
    2. Neelam Kaushal & Rahul Pratap Singh Kaurav & Brijesh Sivathanu & Neeraj Kaushik, 2023. "Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 73(2), pages 455-493, June.
    3. Alexander Simons & Isabell Wohlgenannt & Markus Weinmann & Stefan Fleischer, 2021. "Good gamers, good managers? A proof-of-concept study with Sid Meier’s Civilization," Review of Managerial Science, Springer, vol. 15(4), pages 957-990, May.
    4. Alina Köchling & Marius Claus Wehner, 2020. "Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 795-848, November.
    5. Alina Köchling & Shirin Riazy & Marius Claus Wehner & Katharina Simbeck, 2021. "Highly Accurate, But Still Discriminatory," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 39-54, February.

    More about this item

    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:cup:inorps:v:9:y:2016:i:03:p:621-640_00. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/iop .

    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.