The gender diversity-performance relationship in services and manufacturing organizations

Ali, Muhammad, Kulik, Carol, & Metz, Isabel (2011) The gender diversity-performance relationship in services and manufacturing organizations. International Journal of Human Resource Management, 22(7), pp. 1464-1485.

View at publisher


Empirical findings on the link between gender diversity and performance have been inconsistent. This paper presents three competing predictions of the organizational gender diversity-performance relationship: a positive linear prediction derived from the resource-based view of the firm, a negative linear prediction derived from self-categorization and social identity theories, and an inverted U-shaped curvilinear prediction derived from the integration of the resource-based view of the firm with self-categorization and social identity theories. This paper also proposes a moderating effect of industry type (services vs. manufacturing) on the gender diversity-performance relationship. The predictions were tested in publicly listed Australian organizations using archival quantitative data with a longitudinal research design. The results show partial support for the positive linear and inverted U-shaped curvilinear predictions as well as for the proposed moderating effect of industry type. The curvilinear relationship indicates that different proportions of organizational gender diversity have different effects on organizational performance, which may be attributed to different dynamics as suggested by the resource-based view and self-categorization and social identity theories. The results help reconcile the inconsistent findings of past research that focused on the linear gender diversity-performance relationship. The findings also show that industry context can strengthen or weaken the effects of organizational gender diversity on performance.

Impact and interest:

15 citations in Scopus
Search Google Scholar™
18 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 41659
Item Type: Journal Article
Refereed: Yes
Keywords: Competing Predictions, Gender Diversity, Manufacturing Industry, Organizational Performance, Services Industry
DOI: 10.1080/09585192.2011.561961
ISSN: 0958-5192
Subjects: Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > BUSINESS AND MANAGEMENT (150300) > Human Resources Management (150305)
Divisions: Current > QUT Faculties and Divisions > QUT Business School
Current > Schools > School of Management
Deposited On: 12 May 2011 21:34
Last Modified: 10 Aug 2011 16:08

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page