Decision Analysis

An Exploratory Analysis Using Co-Authorship Network: Trends in Risk Behavior

Print Share
Social network analysis has been widely used by organizational behavior researchers to stress the importance of the context, social connections, and social structure on human behavior. In the last decade, social network analysis has emerged as one of the most useful techniques for exploring online social networks, world wide web, e-mail traffic, and logistic operations. In this chapter, the authors present an application of social network analysis techniques for academic research. The authors choose Kahneman and Tversky's prospect theory as the focus of their analysis and, based on that, develop a co-authorship structure that depicts in a clear manner the key authors and/or the researchers that dominate and bridge different sub-fields in the field of management. The authors discuss the implications of this study for academic research and management discipline.
Bibliographic citation: Canela, Miguel Ángel; Guçlu, Burçin; Alegre, Inés, "An Exploratory Analysis Using Co-Authorship Network: Trends in Risk Behavior". In: Dileep Kumar G.. Machine Learning Techniques for Improved Business Analytics. Hershey, PA: Igi Global, 2019. pp 166 - 200

Reference: 10.4018/978-1-5225-3534-8.ch008 (DOI)
Date: 01/2019
Author(s): Canela, Miguel Ángel; Guçlu, Burçin; Alegre, Inés
Document type: Chapter
Languages: English