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Understanding the Corpus of E-Government Research: An analysis of the literature using co-citation analysis and social network analysis
Saip, M.A. Kamala, Mumtaz A. Tassabehji, Rana
Saip, M.A.
Kamala, Mumtaz A.
Tassabehji, Rana
Publication Date
2016-09
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openAccess
Accepted for publication
2016-05-04
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Abstract
The growing body of published e-government literature highlights the importance of e-government in society and the need to make sense of e-government by academia. In order to understand the future of e-government, it is important to understand the research that has been conducted and highlight the issues and themes that have been identified as important by empirical study. This paper analyses the corpus of e-government research published from 2000 to 2013 using Bibliometric and Social Network Analysis (SNA) methods to develop an intellectual structure of e-government research. Factor analysis, multidimensional scaling and centrality measurement are also applied to the e-government dataset using UCINET to identify the core influential articles in the field. This study identifies three core clusters of e-government research that centre around (i) e-government development models (ii) adoption and acceptance of e-government, and (iii) e-government using social media and highlights areas for future research in the field.
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Citation
Saip MA, Kamala MA and Tassabehji R (2016) Understanding the Corpus of E-Government Research: An Analysis of the Literature Using Co-Citation Analysis and Social Network Analysis. In: Proceedings of the British Academy of Management (BAM) Annual Conference, 6-8 Sep 2016, Newcastle, UK.
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Conference paper