441
Views
1
CrossRef citations to date
0
Altmetric
Article

On the trail of line managers as talent spotters

ORCID Icon, ORCID Icon &
Pages 232-253 | Received 13 Jan 2017, Accepted 15 Sep 2017, Published online: 15 Oct 2017
 

ABSTRACT

The deliberate identification of talent is a critical process in most organizations. Performance ratings and senior management recommendations are its main sources, revealing the importance of line managers in the process. Nevertheless, some managers do have a talent for talent spotting and little is known about their behaviours as effective talent spotters. We explore, through social cognition, as part of the social psychology framework, the practices required to execute the talent identification process (TIP). An exploratory and qualitative method was adopted for this study; 21 line managers of an Argentine holding describe their experiences as talent spotters through semi-structured interviews. Findings show that the identification process is a complex and iterative one, in which several behaviours come into play, interrelated among each other. This interaction involves talent identification and talent development behaviours, deployed in a synergetic way. The relationship building behaviours set the foundations for the identification process to bear fruit. Distinct skills are necessary at different stages of the identification process for line managers to fulfil the talent spotter role. Finally, a model of the TIP is proposed.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 407.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.