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Abstract
The aim of this study is to create a co-authorship network for business analytics research published in the IS senior scholar’s basket of eight journals over 20 years (1997 – 2016) and to test for homophily based on certain author characteristics. The resulting network is analyzed using Exponential Random Graph Modeling (ERGM). Our results show that there is evidence of homophily. Specifically, authors’ continental affiliations, departmental affiliations, and affiliations based on Ph.D. granting institutions and universities are significant predictors of co-authorship links. Authors’ genders and post-Ph.D. experience were insignificant. Results suggest that there is no evidence of homophily in the collaborations between men and women scholars publishing Business Analytics articles in leading IS journals. Also, the insignificance of experience as a predictor of scholarly collaboration suggests that recent postdoctoral researchers collaborate with colleagues who have had a longer tenure in their fields.
Recommended Citation
Dwivedi, Rahul and Nerur, Sridhar, "Analyzing Co-authorship Network for Homophily – Evidence from IS senior Scholar’s Basket of Eight Journals for Business Analytics Research" (2020). AMCIS 2020 Proceedings. 17.
https://aisel.aisnet.org/amcis2020/data_science_analytics_for_decision_support/data_science_analytics_for_decision_support/17
Analyzing Co-authorship Network for Homophily – Evidence from IS senior Scholar’s Basket of Eight Journals for Business Analytics Research
The aim of this study is to create a co-authorship network for business analytics research published in the IS senior scholar’s basket of eight journals over 20 years (1997 – 2016) and to test for homophily based on certain author characteristics. The resulting network is analyzed using Exponential Random Graph Modeling (ERGM). Our results show that there is evidence of homophily. Specifically, authors’ continental affiliations, departmental affiliations, and affiliations based on Ph.D. granting institutions and universities are significant predictors of co-authorship links. Authors’ genders and post-Ph.D. experience were insignificant. Results suggest that there is no evidence of homophily in the collaborations between men and women scholars publishing Business Analytics articles in leading IS journals. Also, the insignificance of experience as a predictor of scholarly collaboration suggests that recent postdoctoral researchers collaborate with colleagues who have had a longer tenure in their fields.
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