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This article showed evidence of substantial text overlap (most notably with the articles cited [2, 3]) and authorship manipulation. None of the authors agree to this retraction.The online version of this article contains the full text of the retracted article as electronic supplementary material.

Abstract. Enterprise Architecture (EA) is managed, developed, and maintained by Enterprise Architecture Implementation Methodology (EAIM). There is ineffectiveness in existing EAIMs due to the complexities; these complexities come from EAIM's processes, models, methods, and strategy. Consequently, EA projects may be faced with lack of support in the following parts of EA: requirement analysis, governance and evaluation, a guideline for implementation, and continual improvement of EA implementation. This research aims to represent an Agent-Oriented based EAIM. The proposed EAIM was evaluated by means of a case study. The results show that proposed EAIM could directly affect the effectiveness of EA implementation in following items: reducing the mismatch between business and IT, defining reachable goals for enterprise, employing easy implementation practices and easy learning procedure, using efficient documentation, applying appropriate communication among project team member, providing an effective environment for alignment of business and IT, and using effective plan for governance and migration plan. This research extends the application of Agent Technology, which provides new area of research for academics and provides effective EAIM, which can be employed by practitioners in EA project.

Enterprise Architecture (EA) is a strategy to attain alignment between an enterprise's business and Information Technology (IT) to increase the competitiveness of an enterprise. In EA implementation, Critical Success Factors (CSFs) refer to factors that may facilitate the successful implementation of the EA. This research presents a CSF model based on an exhaustive literature review and empirical data from practitioners to identify rationalised CSFs. EA implementation projects that do not fully utilize the CSFs may result in inappropriate directions and dissatisfied EA project stakeholders. A quantitative research methodology is applied in this study using questionnaires to evaluate the proposed model. The respondents include enterprise architects, IT managers, and IT consultants with considerable knowledge of EA concepts. Statistical analysis is used to identify the relationships between the proposed CSFs and the success of EA implementation. From the results, the proposed CSF model is significantly related to EA implementation success. The highest-ranking CSF is governance, indicating the importance of governance in the success of EA implementation. Moreover, the proposed CSF model appears to facilitate achieving the desired architecture. By understanding the CSF model at the onset of a project, practitioners can better plan and focus on the CSFs to achieve the desired results.

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