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)
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: 02 Apr 2019 12:05
URI: https://eprints.mdx.ac.uk/id/eprint/21306

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