<p>This article on Systematic Literature Review (SLR) provides the issues and challenges faced by organizations when adopting EA. Firstly, a review of literature that discusses the problems and challenges was undertaken. Methods and theories adopted were reviewed to identify the existing approach and perspective on resulting factors that influenced EA adoption. Based on the inclusion and exclusion criteria defined in the review process, 16 articles were selected. A total of 19 challenges and problems were identified such as EA misconceptions, overlapping organizational rules, unclear leadership as well as lack of business and IT alignment. A sum of 15 factors from multidimensional contexts that influenced the EA adoption in the organization were also discussed, such as top management support, governance, communication as well as EA knowledge and skill. This SLR also reflected that there were relatively little empirical studies conducted on EA adoption studies. The existing studies tend to apply single and multiple theories from the organization and management domains in one study. By understanding such issues and challenges, risks can be reduced and avoided when introducing EA to organizations, and subsequently ease the deployment process. Thus, this article may shed light on understanding the organizational-related factors and the underlying relationships of EA adoption. As a result, an effective adoption of EA can be facilitated in the organizations.</p>
The adoption of enterprise architecture (EA) is deemed to be low despite EA's substantial benefits to organizations, especially in the public sector, as evidenced by the scarce literature on the EA adoption stage, which focuses on the decision or intention to adopt EA. This research attempts to identify the significant factors that influence EA adoption in the public sector by using the technology-organizationenvironment framework and organizational theory. The conceptual model was validated using partial least squares structural equation modeling with data collected from 255 key informants from public sector organizations. Empirical results show that clear communication, coercive pressure, expected benefit, good governance, mimetic pressure, normative pressure, and organizational size have a significant influence on the adoption of EA by public sector organizations. Surprisingly, top management support, ICT infrastructure, EA complexity, organizational readiness, and external support have a nonsignificant influence on EA adoption by public sector organizations. The implications of the findings are also discussed in theoretical, contextual, and practical aspects of EA adoption in the context of public sector organizations. This model facilitates decision-makers in focusing only on the significant factors in the organizational and environmental context that influence EA adoption in Malaysian public sector organizations. Subsequently, the findings may contribute to better insights for EA initiators in their EA implementation plan and strategic planning to support EA implementation among Malaysian public sector organizations.
This article provides a systematic review of the Enterprise Architecture (EA) adoption model. Firstly, an analysis of the literature discussing the current EA adoption models was undertaken. The EA adoption models were reviewed to identify which adoption phase can be connected. This paper also discusses the limitations of the models. Based on the inclusion and exclusion criteria defined in the review process, 13 articles were reviewed. There are 13 different EA adoption models across the number of adoption phases which were selected from 13 articles. A total of 11 adoption models were designed for the post-adoption phase and applicable for the EA implementation phase and two (2) adoption models were formulated for adoption phase. This SLR reflected that there was relatively little research conducted in the adoption phase. Previous scholars had adopted one or a combination of different underpinning theories in their studies to identify the existing approach and perspective formulating EA adoption model. The finding also revealed the limitation of previous studies such as generalizability and fragmented perspective. Therefore, this review will provide further investigation into the potential development of EA adoption model at an early stage that could provide wide-ranging and rational views of business, information, and technology for the organisation.
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