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Toward a decision model for master data application architecture

: Baghi, Ehsan; Schlosser, Simon; Ebner, Verena; Otto, Boris; Oesterle, Hubert


Sprague, Ralph H. (Ed.) ; Univ. of Hawaii at Manoa, Shidler College of Business, Honolulu/Hawaii; IEEE Computer Society:
47th Hawaii International Conference on System Sciences, HICSS 2014. Vol.5 : Waikoloa, Hawaii, USA, 6 - 9 January 2014; Proceedings
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-2505-6
ISBN: 978-1-4799-2504-9
Hawaii International Conference on System Science (HICSS) <47, 2014, Waikoloa/Hawaii>
Conference Paper
Fraunhofer IML ()
Consortium Research; Data Application Architecture; master data management; Multi-Criteria Decision Analysis

Requirements such as integrated view of the customer or global business process integration make enterprise wide management of master data a prerequisite for achieving business goals. The master data application architecture, as a part of enterprise master data management, plays a critical role in enterprises. Choosing the right master data application architecture is a controversial subject in many enterprises. Unfortunately, the current state of the art in research does not provide sufficient guidance for enterprises dealing with this subject. The paper aims at overcoming this gap in research by presenting a decision model for supporting enterprises in the decision-making process regarding the choice of the right master data application architecture. To design the model, Multiple-Criteria Decision Analysis and Design Science Research Methodology were applied.