Enterprise Architecture (EA) is a multi-layered and strategic discipline aimed at aligning an organization's business strategies with its IT infrastructure. This paper provides a systematic and comprehensive review of the academic literature on EA, focusing on its core components and critical success factors. We rst explore the evolution of EA frameworks, from the foundational Zachman Framework to modern, widely-adopted methodologies like TOGAF, analyzing their strengths and applications across dierent sectors. The paper then delves into EA maturity models, which oer a structured pathway for organizations to enhance their architectural capabilities. Furthermore, we examine various methods for measuring the impact and value of EA, presenting quantitative and qualitative benets through detailed case studies from the nance, healthcare, and manufacturing industries. We also address the signicant challenges encountered during EA implementation, such as a lack of executive sponsorship, cultural resistance, and the shortage of qualied professionals. Finally, the review discusses key future trends, including the integration of AI, big data, and cloud computing, highlighting how these technologies will shape the next generation of dynamic and automated EA. This work serves as a valuable resource for both academics and practitioners seeking to understand, implement, and maximize the strategic value of Enterprise Architecture.
Volkan Erol (Fri,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: