Work

Knowledge Networks of the Information Technology Management Domain: A Social Network Analysis Approach

Year: 2016

Type: article

Abstract: 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.

Source: Communications of the Association for Information Systems

DOI: 10.17705/1cais.03918

Authors: Gohar Feroz Khan, Jacob Wood

Institutions: University of Waikato, Chungnam National University

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

Funders: Chungnam National University, Keimyung University

OpenAlex ID: W2552927906

FWCI: 0.628

Cites: 86

Cited by: 30

Related to: 10