4 research outputs found
GENDER AND NETWORKING: BUILDING AND BENEFITING FROM HIGH STATUS TIES IN THE WORKPLACE
While organizations have significantly reduced the overt and intentional forms of sex discrimination that impeded women’s careers in the past, a great deal of research suggests women continue to face informal barriers in the workplace. One such arena in which women tend to be disadvantaged is in their workplace networks. In many ways, men and women have similar networks, yet women are less likely than their male counterparts to have personal relationships with high status coworkers. Scholars have long suggested that these strategic connections are valuable and may be especially beneficial to or necessary for women. Networking has long been touted as one way women can overcome workplace disadvantage by strategically developing and/or capitalizing on such networks, which can enable their success and satisfaction at work. However, networking is a considerable investment. Indeed, networking has been called women’s third shift, after work and family responsibilities. As such, it is vital that we understand how women and men can best capitalize on their investments in networking. This research seeks to add to our scholarly understanding by examining the extent to which men and women can translate their networking behaviors into high status connections and capitalize on those connections to enhance their performance and job satisfaction. Results suggest networking behaviors enable men and women to have friends with higher informal status. However, while men’s networking behaviors are related to having higher ranking (formal status) friends, women’s networking behaviors are related to having lower ranking friends. Post-hoc analyses begin to explore the possibility that these gender differences are due to choices made by or others’ reactions to male and female networkers. Results also distinguish between employees’ gender and legitimacy to shed light on how and why men and women can develop and capitalize on high status connections, providing practical implications for employees and organizations seeking to intervene to enable women and men to develop high status connections. This research uses multimethod data to illuminate ways in which both women and men can translate their networking behaviors into high status connections, workplace performance, and job satisfaction
Same Behavior, Different Expectations, Different Outcomes: Predicting Intersectional Employees\u27 Networks, Salary, and Performance Ratings
Whether, How, and Why Networks Influence Men\u27s and Women\u27s Career Success: Review and Research Agenda
Substantial research has documented challenges women experience building and benefiting from networks to achieve career success. Yet fundamental questions remain regarding which aspects of men’s and women’s networks differ and how differences impact their careers. To spur future research to address these questions, we present an integrative framework to clarify how and why gender and networks—in concert—may explain career inequality. We delineate two distinct, complementary explanations: (1) unequal network characteristics (UNC) asserts that men and women have different network characteristics, which account for differences in career success; (2) unequal network returns (UNR) asserts that even when men and women have the same network characteristics, they yield different degrees of career success. Further, we explain why UNC and UNR emerge by identifying mechanisms related to professional contexts, actors, and contacts. Using this framework, we review evidence of UNC and UNR for specific network characteristics. We found that men’s and women’s networks are similar in structure (i.e., size, openness, closeness, contacts’ average and structural status) but differ in composition (i.e., proportion of men, same-gender, and kin contacts). Many differences mattered for career success. We identified evidence of UNC only (same-gender contacts), UNR only (actors’ and contacts’ network openness, contacts’ relative status), neither UNC nor UNR (size), and both UNC and UNR (proportion of men contacts). Based on these initial findings, we offer guidance to organizations aiming to address inequality resulting from gender differences in network creation and utilization, and we present a research agenda for scholars to advance these efforts
Whether, How, and Why Networks Influence Men’s and Women’s Career Success: Review and Research Agenda
Substantial research has documented challenges women experience building and benefiting from networks to achieve career success. Yet fundamental questions remain regarding which aspects of men’s and women’s networks differ and how differences impact their careers. To spur future research to address these questions, we present an integrative framework to clarify how and why gender and networks—in concert—may explain career inequality. We delineate two distinct, complementary explanations: (1) unequal network characteristics (UNC) asserts that men and women have different network characteristics, which account for differences in career success; (2) unequal network returns (UNR) asserts that even when men and women have the same network characteristics, they yield different degrees of career success. Further, we explain why UNC and UNR emerge by identifying mechanisms related to professional contexts, actors, and contacts. Using this framework, we review evidence of UNC and UNR for specific network characteristics. We found that men’s and women’s networks are similar in structure (i.e., size, openness, closeness, contacts’ average and structural status) but differ in composition (i.e., proportion of men, same-gender, and kin contacts). Many differences mattered for career success. We identified evidence of UNC only (same-gender contacts), UNR only (actors’ and contacts’ network openness, contacts’ relative status), neither UNC nor UNR (size), and both UNC and UNR (proportion of men contacts). Based on these initial findings, we offer guidance to organizations aiming to address inequality resulting from gender differences in network creation and utilization, and we present a research agenda for scholars to advance these efforts