295
Views
2
CrossRef citations to date
0
Altmetric
Special section: Organisation commitment and retention

Career meta-capacities and retention factors of recruitment advertising agencies: An exploratory study

&
Pages 405-411 | Published online: 26 Oct 2017
 

Abstract

This study aimed to determine the extent to which employees’ career adaptability and employability capacities predicted employee retention factors in the information sector industry. A probability sample of 337 South African recruitment advertising employees participated in the study (females = 65.9%; black Africans = 53.4%, predominantly early career stage (aged > 40 years = 57.9%). The employees responded to surveys on their career adaptability, employability capacities, and job retention considerations. Step-wise hierarchical regression analysis was computed to predict employee retention factors from their career meta-capacities of career adaptability and employability attributes. Results suggest the career meta-capacities to explain 71% of the variance in employee retention factors. Moreover, overall career adaptability (concern, control, curiosity, and cooperation) predict the overall retentions factors of employees. White employees self-reported with higher work retention and career opportunities than employees of other races/ethnicities. Career adaptability and employability capabilities matter for talented employee retention in the information sector industry.

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 168.00 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.