A review of normative literature, in the field of e-government, indicates that the transactional stage of e-government is one of the most important to the implementation of an e-government system as it represents the highest level of interaction within organisations and between customers and government organisations. Due to the importance of the transactional stage of the e-government system and its positive impact, not only in making the delivery of external services quicker, but also in increasing the efficiency of internal government processes, government organisations might seek to reach this stage. In fact, in the literature, there appears to be an absence of theoretical models for the technical and organisational challenges facing transactional e-government systems. Furthermore, there is a lack of studies focusing on identification of the importance, categorisation and presentation of strategies for overcoming technical and organisational challenges. Consequently, this dissertation attempts to fill the information gap based on empirical data derived from two case studies. This work proposes a novel model for the technical and organisational challenges facing transactional e-government systems. In moving from the conceptual to the empirical, the work is based on a qualitative case study approach to examine the proposed model for the technical and organisational challenges facing transactional e-government systems. In doing so, two case studies were conducted, presented and analysed. During the empirical research, additional technical and organisational challenge(s) facing transactional e-government systems emerged, which resulted in modifications being made to the previously presented conceptual model. However, this dissertation proposes the conceptual model, identifies the importance, categorisation, and presentation of the strategies for overcoming, technical and organisational challenges facing a transactional e-government system. This results in the development of a frame of reference that will lead to a model that can be used to enhance decision-making.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:422415 |
| Date | January 2005 |
| Creators | Al-Sebie, Madi M. |
| Contributors | Irani, Z. ; Eldabi, T. |
| Publisher | Brunel University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://bura.brunel.ac.uk/handle/2438/5069 |
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