2019
DOI: 10.1177/0001839219832813
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Gender-role Incongruity and Audience-based Gender Bias: An Examination of Networking among Entrepreneurs

Abstract: While most research explaining the persistence of gender inequality has focused on how decision makers’ own biases perpetuate inequities, a growing body of work points to mechanisms of bias that may arise when a decision maker is concerned with satisfying a third party or audience. Using data from 2007 to 2013 on 2,310 members of a popular networking organization for entrepreneurs, I examine the extent to which the presence of third parties leads to gender inequality in resource exchange, or connections to pot… Show more

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Cited by 83 publications
(60 citation statements)
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References 64 publications
(88 reference statements)
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“…Existing research has focused primarily on the structural characteristics of dyads to explain the formation of business relationships (Rivera, Soderstrom, and Uzzi, 2010). This work has identified factors such as homophily (Abraham, 2019), proximity (Hallen, 2008;Dahlander and McFarland, 2013;Bagde, 2015), mutual ties (McFarland et al, 2014), and common organizational membership (Feld, 1981) as significant predictors for the formation of peer business relationships. We build on this literature by examining a non-structural factor related to relationship formation: communication.…”
Section: Contributionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Existing research has focused primarily on the structural characteristics of dyads to explain the formation of business relationships (Rivera, Soderstrom, and Uzzi, 2010). This work has identified factors such as homophily (Abraham, 2019), proximity (Hallen, 2008;Dahlander and McFarland, 2013;Bagde, 2015), mutual ties (McFarland et al, 2014), and common organizational membership (Feld, 1981) as significant predictors for the formation of peer business relationships. We build on this literature by examining a non-structural factor related to relationship formation: communication.…”
Section: Contributionsmentioning
confidence: 99%
“…Prior research has highlighted that advice from peers can help entrepreneurs resolve this problem of information access (Zuckerman and Sgourev, 2006;Kacperczyk, 2013;Abraham, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Existing research has focused primarily on the structural characteristics of dyads to explain the formation of business relationships (Rivera, Soderstrom, and Uzzi, 2010). This work has identified factors such as homophily (Abraham, 2019), proximity (Hallen, 2008;Dahlander and McFarland, 2013;Hasan and Bagde, 2015), mutual ties (McFarland et al, 2014), and common organizational membership (Feld, 1981) as significant predictors for the formation of peer business relationships. We build on this literature by examining a non-structural factor related to relationship formation: communication.…”
Section: Contributionsmentioning
confidence: 99%
“…This information is all the more crucial in developing countries, where formal institutions that encourage information flows are often weak. Therefore, a key challenge for entrepreneurs in developing countries is how to access new, accurate, and timely information.Prior research has highlighted that advice from peers can help entrepreneurs resolve this problem of information access (Zuckerman and Sgourev, 2006;Kacperczyk, 2013;Abraham, 2019).Relationships with peers can serve as important sources of information about how to manage a business, identify market opportunities, and learn new practices (Sorenson, Rivkin, and Fleming, 2006;Stuart and Ding, 2006;Chatterji et al, 2018). However, research also suggests that entrepreneurs' portfolios of peer relationships are frequently far from optimal in terms of providing access to information.…”
mentioning
confidence: 99%
“…These interactions then, in turn, reproduce the power relations that inform them. Harassment, for example, leads to differential job turnover by gender (Antecol and Cobb-Clark 2006;Laband and Lentz 1998;McLaughlin et al 2017), while the distribution of network resources depends on the gendered frames of brokers and the perceived gender biases of audiences (Abraham 2020;Brands and Mehra 2018).…”
Section: Introductionmentioning
confidence: 99%