Decision support process for selection of an optimal enterprise architecture framework for e-government implementation

Mokone, Christopher B; Eyitayo, Oduronke T; Masizana, Audrey

Abstract

The paper discusses the findings of the case study of applying multiple-criteria decision-making (MCDM) method to select attributes of the Enterprise Architecture (EA) frameworks for an e-Government implementation in a developing country. The paper follows on earlier work by the same authors, which focussed on identifying critical success factors to deploy a good enterprise architecture proposed for e-Government projects in Botswana. The research continues to contribute to an e-Government service architecture, and here to explore the processes of selecting an appropriate enterprise architecture framework in the context of a developing country such as Botswana. This selection process aligns the organisational goals with the known attributes of EA Frameworks. The authors apply an MCDM tool, the Analytical Hierarchy Process (AHP) to select EA frameworks attributes from four alternatives which are; the Zachman Enterprise Architecture Framework (ZEAF), Federal Enterprise Architecture Framework (FEAF), The Open Group Architecture Framework (TOGAF) and Treasury Enterprise Architecture Framework (TEAF). These frameworks constitute the four common EA frameworks for e-Government projects. The research concludes that adopting enterprise architecture when developing e-Government helps to visualise business functions and to support ICT comprehensively. The government must select a suitable EA framework before they implement Enterprise Architecture. Also, the findings demonstrate that ZEAF attributes are the most preferred attributes. The results are also consistent with the literature review, and they establish the viability of utilising MCDM methods in EA projects to improve decision making.

• Journal Article Type: Article
• Online Publication Date: Oct 31, 2019
• Publication Date: Oct 31, 2019
• Deposit Date: Jun 11, 2024
• Publicly Available Date: Jun 12, 2024
• Journal: Journal of e-Government Studies and Best Practices
• Electronic ISSN: 2155-4137
• Peer Reviewed: Peer Reviewed
• Article Number: 569505
• DOI: https://doi.org/10.5171/2019.569505
• Keywords: Enterprise Architecture Frameworks; e-Government; Analytical Hierarchy Process; Multi- Criteria Decision Making
• Public URL: https://uwe-repository.worktribe.com/output/12032687