Do Women Suffer from Network Closure? The Moderating Effect of Social Capital on Gender Inequality in a Project-Based Labor Market, 1929 to 2010:
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Citations
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References
The Strength of Weak Ties
Social Capital in the Creation of Human Capital
Distinction: A Social Critique of the Judgement of Taste
Exploration and Exploitation in Organizational Learning
Birds of a Feather: Homophily in Social Networks
Related Papers (5)
Frequently Asked Questions (14)
Q2. What future works have the authors mentioned in the paper "Do women suffer from network closure? the moderating effect of social capital on gender inequality in a project-based labor market, 1929 to 2010" ?
Therefore, while prior research argues that women could potentially benefit if they attach in dense, interconnected teams ( Burt 1998 ), this study highlights the possibility of exclusion and information penalties, which are at Max Planck Society on May 2, 2016asr. This finding might also carry practical consequences for team design or optimal career choices for women, and further exploring exactly why diversity has these beneficial effects can provide a launching pad for future case-study research. This study asked whether different network structures interact with gender inequalities, and future research could analyze whether cumulative advantages reward males or females differently in cohesive or diverse network structures. At the same time, omission of these data creates an opportunity for future research to replicate and analyze the findings presented here in these related labor markets.
Q3. What is the main argument for gender inequality in diverse networks?
In diverse networks, however, information is non-redundant, non-exclusive, and beneficial especially to women, because women face fewer network constraints and can more strategically exploit external, weak tie relationships.
Q4. What measures of social capital are used in this study?
To measure the cohesion of a film production team, The authorfollow de Vaan and colleagues (2011) and rely on their two related but distinct measures of social capital: interpersonal team familiarity and recurring cohesion.
Q5. What is the main argument for the conclusion that women are at a greater disadvantage than men?
The fact that women experience a greater failure hazard indicates they are at a greater job-relevant information disadvantage, which could point to possible male closure tendencies occurring within cohesive teams.
Q6. What is the main reason why women with children are at a disadvantage?
In addition, women with children might be at a particular disadvantage, because they tend to have fewer work-related ties, or less time to invest in building beneficial strong ties (Munch, McPherson, and Smith-Lovin 1997).
Q7. What are the main reasons why women are less likely to survive in cohesive networks?
Taken together, gender-homophilous information flow, low-status identity networks, poor returns on mentorship, and, as a consequence, redundant and narrow information on future possible projects can result in cumulative disadvantages for women building their careers in cohesive networks.
Q8. What is the strength of collaboration between i and j?
In a dataset sorted by the release date of each film, the strength of collaboration between individual i and j (if any) is given by the following:w nijfi f j ff= −∑ δ δ 1where δi f is 1 if i was part of film f and zero otherwise; likewise, δj f equals 1 if individual j was part of film f and zero otherwise.
Q9. What is the effect of gender inequalities on career longevity?
The coefficients of this study robustly show that if women have been attached to cohesive teams in their past productions—controlling for their past success and genre identity—their chances for future roles decrease, which substantially reduces their career longevity.
Q10. What could be done to replicate the results of this study?
Future research, however, could try to replicate these results using different network measures, such as calculating centrality scores on an actor-by-actor matrix and comparing these scores for men versus women.
Q11. What is the effect of the study on women’s failure hazard?
This is supported by the finding that women’s failure hazard increases if they work in teams with a higher percentage of males at the managerial level (directors and producers).
Q12. What does Ibarra (1997) show that women with high potential in career advancement have?
Ibarra (1997) shows empirically that network diversity pays off for women: women with high potential in career advancement have widerranging information networks than do their male counterparts.
Q13. How does the figure 4 compare to the other three diversity variables?
In the same vein, Figure 4 shows that if diversity is as high as one standard deviation above the average, gender inequalities disappear (this is true in 20 to 30 percent of cases).
Q14. What is the reason for the increase in the incentive to cooperate?
In cohesive networks where actors interact repeatedly, the incentive to cooperate is relatively high, because cooperation enhances a person’s chances to receive help the next time it is needed.