Khan, Gohar Feroz, and Wood, Jacob (2016) Knowledge networks of the information technology management domain: a social network analysis approach. Communications of the Association for Information Systems, 39 (1). 18. pp. 367-397.

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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.

Item ID:	52833
Item Type:	Article (Research - C1)
ISSN:	1529-3181
Keywords:	information technology management domain, knowledge networks, co-authorship networks, social network analysis
Funders:	Keimyung University Korea Research Grant of 2016, Chungnam National University Professor Research Fund for 2016
Date Deposited:	23 Apr 2018 01:01
FoR Codes:	35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3503 Business systems in context > 350303 Business information systems @ 100%
SEO Codes:	91 ECONOMIC FRAMEWORK > 9104 Management and Productivity > 910402 Management @ 100%
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