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Exploring How Women on Corporate Boards Cope With Gender Bias

Gender bias may cause organizations to lose the values that women bring to the workplace in leadership positions and may thwart women from reaching their personal goals. The purpose of this qualitative descriptive multiple case study was to explore gender bias and its influence on women on corporate boards, their roles, appointment, and the need to develop coping strategies to deal with gender bias to execute their roles. The conceptual lens used was Tajfel and Turner's social identity theory to explain the basis for intergroup discrimination, and Eagly and Karau's role congruity theory of prejudice to explain the exclusion of women from corporate boards as a result of gender bias. The research question focused on identifying gender bias and experiences of women on a corporate board. Social media and snowball sampling were used to recruit 6 English-speaking women on corporate boards who had experienced gender bias at the time of their appointment and in their roles on corporate boards in the public and private sectors in provinces and territories throughout Canada. Data sources included interviews, journaling, and analysis of physical artifacts such as government reports and databases of women on corporate boards. Using Yin's 5 phases of analysis, the study identified 7 emergent themes in the data sources: discrimination, harassment, organizational climate, well-being, disruption, empowerment, and leading. The study's potential for positive social change resides within its potential to promote the internal transformation of women as they deal with bias. Men also need an improved understanding of their perceptions of women in the governance structures of society to help reduce gender bias toward women.

Identiferoai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-6164
Date01 January 2018
CreatorsRoberts, Sharon
PublisherScholarWorks
Source SetsWalden University
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceWalden Dissertations and Doctoral Studies

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