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  1. Leaning in: A Historical Perspective on Influencing Women’s Leadership.Simone T. A. Phipps & Leon C. Prieto - 2020 - Journal of Business Ethics 173 (2):245-259.
    The term “lean in” was popularized by Sheryl Sandberg, Facebook COO, via her #1 Best Seller encouraging women to defy their fears and dare to be leaders in their fields. She received criticism because although admitting to external barriers contributing to the gender gap in leadership, the scope of her book focused on the internal shortcomings of women. She asserted that women are hindered by barriers that exist within themselves, and provided practical tips, backed by research, to equip women with (...)
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  • IPO Firm Performance and Its Link with Board Officer Gender, Family-Ties and Other Demographics.Paul B. McGuinness - 2018 - Journal of Business Ethics 152 (2):499-521.
    Issues of social justice underlie the clamour for greater gender balance in top-management. The present study reveals that pursuit of such social justice is also value-enhancing in relation to the longer-run performance of initial public offerings stocks, especially where female board members are unencumbered by family-connection with other directors. This study examines the economic benefits of board gender diversity for state- and privately controlled firms in the Hong Kong IPO market. Gender board diversity is much less common in state-run IPO (...)
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  • Majority-Minority Boards of Directors and Decision Making: The Effects of Homophily on Lending Decisions.Cullen F. Goenner - 2023 - Business and Society 62 (1):54-86.
    In this study, I examine the role racial minorities in the boardroom can play in reducing social injustice by promoting more equal access to mortgage credit to minority households. I develop a simple theoretical model that posits directors who are racial minorities provide the credit unions they govern with a perspective that shapes lenders’ trust of minority applicants. This trust is shaped by homophily and the tendency of individuals to prefer interactions with similar individuals. Using mortgage loan data from a (...)
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