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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Gender versus qualification in hiring knowledge workers : the predictive power of gender in the perceived job suitability of male and female applicants

Swinstead, Jamie Alistair January 2014 (has links)
This study considers the predictive power of gender in the perceived job suitability of male and female applicants seeking employment as knowledge workers. Four research questions were generated in order to address the problem statement of identifying if suitability for job fit in the knowledge economy is influenced more by gender or qualification: • Do managers differentiate between the perceived job suitability of male and female potential employees? • Do managers differentiate between the perceived job suitability of less-qualified male and more-qualified female potential employees? • Do managers differentiate between the perceived job suitability of equally morequalified male and female potential employees? • Do managers differentiate between the perceived job suitability of equally lessqualified male and female potential employees? In this simple study, respondents were asked to rank eight candidates’ suitability for a knowledge worker job. The results were collated, cleaned and validated before being subjected to a Wilcoxon matched pairs signed ranks test (for non-parametric variables). The results demonstrated that overall, gender is the better predictor of job suitability, however, the more qualified a candidate is, the less gender can be relied upon as an accurate predictor for job suitability. All the results from this study have been discussed in terms of their suggestions for future research in selection bias in hiring and gender bias. / Dissertation (MBA)--University of Pretoria, 2014. / zkgibs2015 / Gordon Institute of Business Science (GIBS) / MBA / Unrestricted

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