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

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

Burçin Güçlü (Universitat Ramon LLull, Spain), Miguel Ángel Canela (Universidad de Navarra, Spain) and Inés Alegre (Universidad de Navarra, Spain)
Copyright: © 2019 |Pages: 35
DOI: 10.4018/978-1-5225-3534-8.ch008
OnDemand PDF Download:
No Current Special Offers


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.
Chapter Preview

Literature Review

In this section, we provide a literature review on social network analysis (Scott, 2017) and the Prospect Theory (Kahneman & Tversky, 1979), including an updated version of the theory to correct certain statistical flaws that existed in the previous theory (Tversky & Kahneman, 1992). Regarding the social network analysis, we present the underlying assumptions and the relevance of network analysis for social sciences. As for the Prospect Theory (Kahneman & Tversky, 1979) we present the main tenets of the theory.

Complete Chapter List

Search this Book: