Determinants of e-government services adoption in developing countries (Egypt)
ElKheshin, Sara Abdelsalam (2016) Determinants of e-government services adoption in developing countries (Egypt). PhD thesis, Middlesex University. [Thesis]
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Abstract
Electronic government (e-government) was established as an effective mechanism for increasing government productivity and efficiency and a key enabler for citizen-centric services. E-government services are yet to be universally accepted as a medium for accessing online public services since its inception more than a decade ago.
Both governments and academic researchers recognise the problem of low-level adoption of e-government services among citizens; a common problem in both developed and developing countries. E-government adoption, unlike most of IT adoption by employees in private-sector organisations, is voluntary and occurs often in turbulent social-political environments. Therefore, the problem needs to be addressed comprehensively from technological, social, political, and cultural perspectives.
E-government adoption research currently lacks a comprehensive conceptual framework for explaining citizen adoption of e-government services. To fill this gap, this study investigates determinants and factors necessary to enhance citizen adoption of e-government services, by extending the Technology Acceptance Model (TAM) using a set of social, political, and design constructs that are derived from different research literatures.
The research adopted a multi-method approach (combining quantitative and qualitative methods) to explore practices and experiences of implementing and adopting e-government systems in Egypt. The results of this research, in terms of a new customised e-government adoption model and recommendations made for e-government will directly benefit the Egyptian government and developing Arab world countries that share similar circumstances in creating a more efficient e-government adoption strategy..
Item Type: | Thesis (PhD) |
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Research Areas: | A. > School of Science and Technology A. > School of Science and Technology > Computer Science B. > Theses |
Item ID: | 21306 |
Depositing User: | Jennifer Basford |
Date Deposited: | 14 Feb 2017 15:22 |
Last Modified: | 29 Nov 2022 21:34 |
URI: | https://eprints.mdx.ac.uk/id/eprint/21306 |
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