SIG SI - Social Inclusion and Socio-Technical Issues
Event Title
Authorship, Collaboration, and Influence of Women IS Scholars: Using Social Network Analysis
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Paper Type
ERF
Paper Number
1435
Description
Research productivity is a critical component of any academic’s career progression. Thus, when trying to understand the underrepresentation issues surrounding women in the information systems (IS) field, research networks are a reasonable starting point. This study aims to understand the trends and patterns of IS women academics’ citation networks that impact their productivity and promotability. Social network analysis (SNA) techniques that analyze bibliographic data extracted from the IS senior scholar’s basket of eight journals between 1990 and 2021 are employed. In addition to this comprehensive article search, author attributes such as gender, affiliation, Ph.D. granting institution, and ethnicity, will be collected. Using these network member attributes, we will analyze the extent of homophily and its influence on forming co-author ties in IS. SNA will help us understand the complexity and potential impacts of authorship and collaboration networks in a diverse and inclusive IS community.
Recommended Citation
Zhou, Shimi; Loiacono, Eleanor; Nerur, Sridhar; Randolph, Adriane B.; Lingo, Elizabeth; Iyer, Lakshmi; and Carter, Michelle, "Authorship, Collaboration, and Influence of Women IS Scholars: Using Social Network Analysis" (2022). AMCIS 2022 Proceedings. 6.
https://aisel.aisnet.org/amcis2022/sig_si/sig_si/6
Authorship, Collaboration, and Influence of Women IS Scholars: Using Social Network Analysis
Research productivity is a critical component of any academic’s career progression. Thus, when trying to understand the underrepresentation issues surrounding women in the information systems (IS) field, research networks are a reasonable starting point. This study aims to understand the trends and patterns of IS women academics’ citation networks that impact their productivity and promotability. Social network analysis (SNA) techniques that analyze bibliographic data extracted from the IS senior scholar’s basket of eight journals between 1990 and 2021 are employed. In addition to this comprehensive article search, author attributes such as gender, affiliation, Ph.D. granting institution, and ethnicity, will be collected. Using these network member attributes, we will analyze the extent of homophily and its influence on forming co-author ties in IS. SNA will help us understand the complexity and potential impacts of authorship and collaboration networks in a diverse and inclusive IS community.
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