MASTER DATA MANAGEMENT: A CONCEPTUAL FRAMEWORK FOR SUCCESSFULLY SUPPORTING DATA-DRIVEN TRANSFORMATION AND CORPORATE SUCCESS

Matthias Schmuck () and Emanuel Rieder ()
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Matthias Schmuck: Doctoral School of Economics and Business Administration of „Alexandru Ioan Cuza“ University – Iași, Romania
Emanuel Rieder: Doctoral School of Economics and Business Administration of „Alexandru Ioan Cuza“ University – Iași, Romania

Review of Economic and Business Studies, 2025, issue 35, 177-191

Abstract: Digital transformation is reshaping business and public sector structures, increasingly relying on high-quality, strategically usable data. In this context, Master Data Management (MDM) emerges as a critical enabler of data-driven transformation. This study presents a framework – developed using the Design Science Research methodology – that illustrates how MDM, supported by effective change management, contributes to organizational success. A systematic literature review (SLR) identified key success factors, grouped into four dimensions (management, technology, people and organization, and support), and common pitfalls (CP). Change Management (CM) serves as the central link/bridge between MDM and business impact. A combined approach using CM models by Kotter, Hiatt, and Lewin is proposed to support transformation at organizational and individual levels. Using the success chain concept, the transformational framework shows how improved master data capabilities – driven by the success factors and change initiatives – leads to psychological and behavioural changes in data users and, ultimately, to enhanced corporate success like decision-making efficiency, process optimization or technology adaption. MDM is positioned not as a technical tool, but as a strategic asset in digital value creation and corporate success. The paper is part of a series of articles on the topic of “Measuring the Success of MDM†.

Keywords: Data-Driven Transformation; Master Data Management; Design Science Research; Information System Success; Corporate Success (search for similar items in EconPapers)
JEL-codes: C80 O10 O25 O33 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:aic:revebs:y:2025:j:35:schmuckm

DOI: 10.47743/rebs-2025-1-0011

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