Net effects: examining strategies for women’s inclusion and influence in ASX200 company boards

Conventional approaches to improving the representation of women on the boards of major companies typically focus on increasing the number of women appointed to these positions. We show that this strategy alone does not improve gender equity. Instead of relying on aggregate statistics (“headcounts”)...

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Bibliographic Details
Main Authors: Ghannam, S. (Author), Hambusch, G. (Author), Musial, K. (Author), Shashnov, M. (Author), Verhoeven, D. (Author)
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 01888nam a2200229Ia 4500
001 10.1007-s41109-022-00490-y
008 220718s2022 CNT 000 0 und d
020 |a 23648228 (ISSN) 
245 1 0 |a Net effects: examining strategies for women’s inclusion and influence in ASX200 company boards 
260 0 |b Springer Science and Business Media Deutschland GmbH  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1007/s41109-022-00490-y 
520 3 |a Conventional approaches to improving the representation of women on the boards of major companies typically focus on increasing the number of women appointed to these positions. We show that this strategy alone does not improve gender equity. Instead of relying on aggregate statistics (“headcounts”) to evaluate women’s inclusion, we use network analysis to identify and examine two types of influence in corporate board networks: local influence measured by degree centrality and global influence measured by betweenness centrality and k-core centrality. Comparing board membership data from Australia’s largest 200 listed companies in the ASX200 index in 2015 and 2018 respectively, we demonstrate that despite an increase in the number of women holding board seats during this time, their agency in terms of these network measures remains substantively unchanged. We argue that network analysis offers more nuanced approaches to measuring women’s inclusion in organizational networks and will facilitate more successful outcomes for gender diversity and equity. © 2022, The Author(s). 
650 0 4 |a ASX200 
650 0 4 |a Company boards 
650 0 4 |a Gender equity 
650 0 4 |a Social network analysis 
700 1 |a Ghannam, S.  |e author 
700 1 |a Hambusch, G.  |e author 
700 1 |a Musial, K.  |e author 
700 1 |a Shashnov, M.  |e author 
700 1 |a Verhoeven, D.  |e author 
773 |t Applied Network Science