Enterprise architecture management (EAM) has become an intensively discussed approach to manage enterprise transformations. While many organizations employ EAM, a notable insecurity about the value of EAM remains. In this paper*, we propose a model to measure the realization of benefits from EAM. We identify EAM success factors and EAM benefits through a comprehensive literature review and eleven explorative expert interviews. Based on our findings, we integrate the EAM success factors and benefits with the established DeLone & McLean IS success model resulting in a model that explains the realization of EAM benefits. This model aids organizations as a benchmark and framework for identifying and assessing the setup of their EAM initiatives and whether and how EAM benefits are materialized. We see our model also as a first step to gain insights in and start a discussion on the theory of EAM benefit realization.
* This is a revised and extended version of the article “A comprehensive EAM benefit realization model – An exploratory study” that was originally published in the Conference Proceedings of the 45th Hawaii International Conference on Systems Sciences (Lange et al. 2012). We extended the article with a discussion of findings from a series of semi-structured interviews and have rewritten the original version to share our findings with the EAM practitioner community in this journal.
Enterprise transformation, Enterprise Architecture Management (EAM), business benefits, value, IS success, measurement instrument, benchmark
About the authors
Matthias Lange is a Ph.D. candidate at the School of Business and Economics at the Humboldt University of Berlin. His research focuses on enterprise architecture and business transformations.
Jan Mendling is a Full Professor with the Institute for Information Business at Wirtschaftsuniversität Wien (WU Vienna), Austria. He has published more than 150 research papers and articles, among others in ACM Transactions on Software Engineering and Methodology, IEEE Transaction on Software Engineering, Information Systems, Data & Knowledge Engineering, and Decision Support Systems.
Jan Recker is Alexander von Humboldt Fellow and Associate Professor for Information Systems at Queensland University of Technology. He has written more than 100 refereed publications on process design, user acceptance and business transformations.
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