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A multidimensional and integrative approach to study global digital divide and e - government development

Zhao, Fang and Colliler, A. and Deng, H. (2014) A multidimensional and integrative approach to study global digital divide and e - government development. Information Technology and People, 27 (1). pp. 38-62. ISSN 0959-3845

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    Purpose – The purpose of this paper is to examine the effects of the digital divide on e-government development. Design/methodology/approach – The study takes a multidimensional and integrative approach in order to examine the various ways in which different contextual factors affecting the digital divide (i.e. economic, social, political, demographic, cultural and ICT infrastructure) interact to influence e-government development. To test the hypotheses, authors perform a correlation and multiple regression analysis using SPSS. Findings – After analysing several global data sets such as those of the World Bank and the United Nations, the study finds that the digital divide is a multidimensional construct that has a significant impact on e-government development in various ways. In contrast to the consensus view of a correlation existing between economic status on the one hand, and the digital divide and e-government development on the other, this study finds that economic status is not a significant predictor of the digital divide or e-government development. Practical implications – The findings should help inform public policy makers when developing strategies to deal with issues of the digital divide and e-government development by encouraging analysis in a holistic and integrative way. Simply addressing the digital divide alone is unlikely to be sufficient to stimulate an increase in the uptake of e-government. Moreover, our model helps identify areas of strengths as well as weaknesses for improvement. Originality/value – The authors develop a multidimensional and integrative research model to study the digital divide and e-government development and the relationship between the two, and validate the model through systematically testing it with empirical data. This study is among the first to take such an approach.

    Item Type: Journal Article
    Subjects: H Social Sciences > HG Finance
    Divisions: Faculty of Business and Economics (FBE) > School of Management and Public Administration
    Depositing User: Fang Zhao
    Date Deposited: 29 Jul 2014 11:24
    Last Modified: 12 Sep 2016 12:44

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