Quotation Lange, Matthias, Mendling, Jan, Recker, Jan. 2016. An empirical analysis of the factors and measures of Enterprise Architecture Management success. European Journal of Information Systems (EJIS) 25, 411




Enterprise Architecture Management (EAM) is discussed in academia and industry as a vehicle to guide IT implementations, alignment, compliance assessment, or technology management. Still, a lack of knowledge prevails about how EAM can be successfully used, and how positive impact can be realized from EAM. To determine these factors, we identify EAM success factors and measures through literature reviews and exploratory interviews and propose a theoretical model that explains key factors and measures of EAM success. We test our model with data collected from a cross-sectional survey of 133 EAM practitioners. The results confirm the existence of an impact of four distinct EAM success factors, ‘EAM product quality’, ‘EAM infrastructure quality’, ‘EAM service delivery quality’, and ‘EAM organizational anchoring’, and two important EAM success measures, ‘intentions to use EAM’ and ‘Organizational and Project Benefits’ in a confirmatory analysis of the model. We found the construct ‘EAM organizational anchoring’ to be a core focal concept that mediated the effect of success factors such as ‘EAM infrastructure quality’ and ‘EAM service quality’ on the success measures. We also found that ‘EAM satisfaction’ was irrelevant to determining or measuring success. We discuss implications for theory and EAM practice.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal European Journal of Information Systems (EJIS)
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new INF-A, STRAT-A, WH-A
Language English
Title An empirical analysis of the factors and measures of Enterprise Architecture Management success
Volume 25
Year 2016
Page from 411
Reviewed? Y
DOI http://dx.doi.org/10.1057/ejis.2014.39


Mendling, Jan (Details)
Lange, Matthias (Humboldt-Universität zu Berlin, Germany)
Recker, Jan (Queensland University of Technology, Australia)
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
5367 Management information systems (Details)
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