An Empirical Investigation of Enterprise Architecture Analysis Based on Network Measures and Expert Knowledge: A Case from the Automotive Industry

DSM 2016: Sustainability in modern project management - Proceedings of the 18th International DSM Conference, São Paulo, August 29th and 30th, 2016

Year: 2016
Editor: Marly Monteiro de Carvalho, Steven D. Eppinger, Maik Maurer, Lucia Becerril
Author: Santana, Alixandre; Kreimeyer, Matthias; Clo, Pascal; Fischbach, Kai; de Moura, Hermano
Series: DSM
Institution: Informatics center, UFPE, Brazil; MAN Truck and Bus AG, Germany; University of Bamberg, Germany
Section: Analyzing and Managing Organizations
Page(s): 046-056
DOI number: 10.19255/JMPM-DSM2016
ISBN: 978-85-63710-01-7


Enterprise architecture (EA) may be considered an organizational blueprint that helps experts manage organizational complexity. In this regard, EA analysis is an emerging field gaining greater attention, and considering EA as an intertwined system of components and relationships and performing EA analysis from a structural perspective are promising areas of research. This paper analyzes EA data from a German commercial vehicle manufacturer, modeling a subset of its EA with the help of design structural and domain mapping matrices. Thus, we propose an analysis approach based on network measures that uses structural knowledge generated by the network analysis to validate or refine experts’ tacit knowledge about EA key components from different layers. We refer to this approach as the diagnosis analysis method. Based on our results, we successfully combine the structural knowledge with expert knowledge and provide useful validations for experts.

Keywords: Enterprise architecture, network analysis, DSM modeling


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