BIROn - Birkbeck Institutional Research Online

    The application of multi-criteria decision analysis methods into talent identification process: a social psychological perspective

    Lai, Yi-Ling and Ishizaka, A. (2020) The application of multi-criteria decision analysis methods into talent identification process: a social psychological perspective. Journal of Business Research 109 , pp. 637-647. ISSN 0148-2963.

    [img] Text
    2. Main Text_The application of multi criteria decision analysis methods into talent identification process.pdf - Author's Accepted Manuscript
    Restricted to Repository staff only until 6 March 2021.
    Available under License Creative Commons Attribution Non-commercial No Derivatives.

    Download (574kB) | Request a copy

    Abstract

    This case study offers a new insight into application of multiple-criteria decision-making methods (MCDM) to social identity issues in the context of talent management. This study used MCDM to help a high-tech company to identify potential talents in its sale and marketing team (n = 54). MCDM adjusted subjective information consisted of intangible organisational political issues into a transparent, objective benchmark. The transparency and consistency of this evaluation process reduced potential social identity disruption between individuals or groups. Furthermore, the involvement of multiple decision-makers (both managers and employees) in the talent identification procedure enhanced employees' motivation for further development.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Talent management, Multi-criteria decision making, AHP, Flowsort, GAIA, Visual management
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Organizational Psychology
    Depositing User: Yi-Ling Lai
    Date Deposited: 01 Jun 2020 10:45
    Last Modified: 01 Jul 2020 16:47
    URI: http://eprints.bbk.ac.uk/id/eprint/31994

    Statistics

    Downloads
    Activity Overview
    2Downloads
    16Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item