An empirical analysis of the factors and measures of Enterprise Architecture Management success


Autoria(s): Lange, Matthias; Mendling, Jan; Recker, Jan
Data(s)

2015

Resumo

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.

Identificador

http://eprints.qut.edu.au/84704/

Publicador

Palgrave Macmillan Ltd.

Relação

DOI:10.1057/ejis.2014.39

Lange, Matthias, Mendling, Jan, & Recker, Jan (2015) An empirical analysis of the factors and measures of Enterprise Architecture Management success. European Journal of Information Systems. (In Press)

Direitos

Copyright 2015 Operational Research Society Ltd.

Fonte

School of Information Systems; Science & Engineering Faculty

Palavras-Chave #enterprise architecture #Enterprise Architecture Mangement #critical success factors #PLS #structural equation modeling
Tipo

Journal Article