The application of multi-criteria decision analysis methods into talent identification process: A social psychological perspective
Yi-Ling Lai and
Alessio Ishizaka
Journal of Business Research, 2020, vol. 109, issue C, 637-647
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.
Keywords: Talent management; Multi-criteria decision making; AHP; Flowsort; GAIA; Visual management (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296319304977
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:109:y:2020:i:c:p:637-647
DOI: 10.1016/j.jbusres.2019.08.027
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().