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Title: An identification of decision-making factors in post-implementation development of e-government projects in the UK : a single case study of Sheffield City Council
Author: Mojtahed, Reza
ISNI:       0000 0004 5923 5787
Awarding Body: University of Sheffield
Current Institution: University of Sheffield
Date of Award: 2015
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The purpose of this study is to develop a clearer understanding of the factors influencing the decision making of public sector administrators at the postimplementation stage of electronic government (e-Government) projects in the UK. Egovernment refers to the provision of government services through the use of a government portal based on e-Government development models. Despite a wealth of e- Government adoption and implementation studies, there is a paucity of literature describing the roles of e-Government decision makers post-implementation. Therefore, this single case (i.e. Sheffield City Council) interpretivist study, using semistructured interviews for data collection, makes a unique contribution to the literature. Semi-structured interviews were applied to collect the data and the researcher interviewed 17 managers and member of staff from Sheffield City Council. Subsequent data and thematic analysis has revealed four themes. The first theme concerns organisational management issues (e.g. corporate strategy, reputation management, project initiators, etc.). The second theme concerns financial factors of post-implementation decision making behaviours. The third theme relates to technological factors, including IT risks, scale of IT improvement and system accessibility. While the fourth theme concerns the influence of government policy factors. These themes are interrelated and impact upon each other. Also, organisational management theme is identified as core factor of e-Government post-implementation decision making. The findings of this study have implications in the field of postimplementation e-Government decision making. Public sector managers should be sure to give due consideration to each of these themes ahead of post-implementation decision making in order to arrive at better and more informed decisions.
Supervisor: Baptista Nunes, Miguel ; Peng, G. C. Alex Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available