One Size Does Not Fit All - A Contingency Approach to Data Governance

Item Type Journal paper
Abstract

Enterprizes need Data Quality Management (DQM) to respond to strategic and operational challenges demanding high-quality corporate data. Hitherto, companies have mostly assigned accountabilities for DQM to Information Technology (IT) departments. They have thereby neglected the organizational issues critical to successful DQM. With data governance, however, companies may implement corporate-wide accountabilities for DQM that encompass professionals from business and IT departments. This research aims at starting a scientific discussion on data governance by transferring concepts from IT governance and organizational theory to the previously largely ignored field of data governance. The article presents the first results of a community action research project on data governance comprising six international companies from various industries. It outlines a data governance model that consists of three components (data quality roles, decision areas, and responsibilities), which together form a responsibility assignment matrix. The data governance model documents data quality roles and their type of interaction with DQM activities. In addition, the article describes a data governance contingency model and demonstrates the influence of performance strategy, diversification breadth, organization structure, competitive strategy, degree of process harmonization, degree of market regulation, and decision-making style on data governance. Based on these findings, companies can structure their specific data governance model.

Authors Weber, Kristin; Otto, Boris & Österle, Hubert
Research Team IWI2, CDQ
Journal or Publication Title Journal of Data and Information Quality (JDIQ)
Language English
Keywords Contingency Theory, Data Governance, Aufbauorganisation, Datenqualitätsmanagement
Subjects information management
HSG Classification not classified
Refereed Yes
Date 1 June 2009
Publisher ACM
Place of Publication New York, NY
Volume 1
Number 1
Page Range 1-27
ISSN 1936-1955
ISSN-Digital 1936-1963
Depositing User Kristin Weber
Date Deposited 05 Aug 2009 16:21
Last Modified 23 Aug 2016 11:08
URI: https://www.alexandria.unisg.ch/publications/67793

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Citation

Weber, Kristin; Otto, Boris & Österle, Hubert (2009) One Size Does Not Fit All - A Contingency Approach to Data Governance. Journal of Data and Information Quality (JDIQ), 1 (1). 1-27. ISSN 1936-1955

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https://www.alexandria.unisg.ch/id/eprint/67793
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