Data governance capabilities: empirical validation in case studies of large organisations

Jan Merkus*, R.W. Helms, R.J. Kusters

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review

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The exponential growth of data within organisations necessitates the implementation of effective data management practices, which in turn necessitates the establishment of data governance. The evaluation of the maturity of data governance can be carried out using maturity models. However, the existing data governance maturity models are limited in their consistency in terms of data governance capabilities used and lack empirical validation. To address this gap, this study aims to validate the set of data governance capabilities identified in prior research within large organisations. This study employs a case study research design, using semi-structured interviews with experts in data governance. As a basis for the semi-structured interviews, maturity models are designed as questionnaires to discuss the relevance of each data governance capability. The results of this study provide empirical validation of the set of data governance capabilities and contribute to the advancement of both data governance research and practice by providing a comprehensive, validated set of data governance capabilities for maturity model design to advance data governance within and between organisations.
Original languageEnglish
Title of host publication36th Bled eConference Digital Economy and Society
Subtitle of host publicationThe Balancing Act for Digital Innovation in Times of Instability
EditorsAndreja Pucihar, Mirjana Kljajić Borštnar, Roger Bons, Guido Ongena, Marikka Heikkilä, Doroteja Vidmar
Place of PublicationBled
PublisherUniversity of Maribor Press
Number of pages14
ISBN (Electronic)978-961-286-751-5
Publication statusPublished - Jun 2023
Event36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability - University of Maribor, Bled, Slovenia
Duration: 25 Jun 202328 Jun 2023
Conference number: 36


Conference36th Bled eConference
Internet address


  • Data governance capabilities
  • empirical validation
  • maturity model


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