"The aura of capability": Gender bias in selection for a project manager job. Issue 3 (April 2017)

• Record Type: Journal Article
• Authors: Pinto, Jeffrey K.; Patanakul, Peerasit; Pinto, Mary Beth
• Is Part Of: International journal of project management. Volume 35:Issue 3(2017)
• Page Start: 420
• Page End: 431
• Publication Date: 2017-04
• Subjects: Gender bias -- Project manager -- Job selection -- Male-dominated jobs; Project management -- Periodicals; Network analysis (Planning) -- Periodicals; 658.40405
• DOI: 10.1016/j.ijproman.2017.01.004
• Languages: English
• ISSNs: 0263-7863

Abstract

Abstract: There have been numerous studies examining the various manners in which female managers are subjected to negative stereotypes and bias, and how such bias influences hiring decisions. We sought to study the job selection challenge within the specific context of project management, a discipline that has historically been viewed as male-dominated, focusing on perceived differences in male and female job candidates based on a set of critical personal/managerial characteristics, including perceived competence, trust, likeability, and lack of perceived self-interest. We developed a scenario-based survey questionnaire and a between-subjects research design, sampled 312 project management personnel and tested subjects' reactions to two candidates for a project management position, employing identical descriptions and language while only changing the candidate's name: Susan or Stan. Our results suggested that all independent variables are significant predictors of the likelihood of a project manager candidate being hired. We only found evidence of gender bias in relation to perceived technical competence; in situations where the perceived technical competence of the job candidate was low, the female candidate was less likely to be hired over a male counterpart. On the other hand, as a candidate's perceived technical competence increased, the resulting attributions were significantly more beneficial for the female job seeker, who was more likely to be hired over a male candidate. Highlights: Gender bias for job selection is a particular problem for male-dominated profession like project management. We studied gender bias using a sample of 312 project management professionals. We compared scenarios using two identical candidates, substituting male and female names. Competence, trust, likeability, and self-interest all predict candidate selection. Of the predictors, perceived technical competence showed evidence of gender bias.