Using the social network analysis technique, we decomposed the knowledge networks of the information technology management (ITM) domain. We included a total of 893 papers published during the 1995-2014 period in the network analysis. From this domain, the network and ego level properties—such as, degree centralities, density, components, structural holes, and degree distribution—suggest that, unlike the other information systems communities, the ITM is a community with a unique character and distinct collaboration patterns. The results show that the ITM knowledge networks are fragmented and exhibit a power law distribution in which incoming nodes and links prefer to attach to the nodes that are already well connected. We discuss several implications that arise from the network configuration that could aid the future development of the ITM domain.
Khan, G. F., & Wood, J. (2016). Knowledge Networks of the Information Technology Management Domain: A Social Network Analysis Approach. Communications of the Association for Information Systems, 39, pp-pp. https://doi.org/10.17705/1CAIS.03918