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

Jan Merkus; R.W. Helms; R.J. Kusters

doi:10.18690/um.fov.4.2023

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

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Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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Abstract

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 language	English
Title of host publication	36th Bled eConference Digital Economy and Society
Subtitle of host publication	The Balancing Act for Digital Innovation in Times of Instability
Editors	Andreja Pucihar, Mirjana Kljajić Borštnar, Roger Bons, Guido Ongena, Marikka Heikkilä, Doroteja Vidmar
Place of Publication	Bled
Publisher	University of Maribor Press
Pages	35-48
Number of pages	14
Edition	1
ISBN (Electronic)	9789612867515
DOIs	https://doi.org/10.18690/um.fov.4.2023 https://doi.org/10.18690/um.fov.4.2023.3
Publication status	Published - Jun 2023
Event	36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability - University of Maribor, Bled, Slovenia Duration: 25 Jun 2023 → 28 Jun 2023 Conference number: 36 https://press.um.si/index.php/ump/catalog/series/bec

Publication series

Series	36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings

Conference

Conference	36th Bled eConference
Country/Territory	Slovenia
City	Bled
Period	25/06/23 → 28/06/23
Internet address	https://press.um.si/index.php/ump/catalog/series/bec

Keywords

Data governance capabilities
empirical validation
maturity model

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10.18690/um.fov.4.2023Licence: CC BY
10.18690/um.fov.4.2023.3

Bled_eConference_2023_paper_3_Data_Governance_Capabilities_Merkus_et_alFinal published version, 564 KBLicence: Unspecified

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Merkus, J., Helms, R. W., & Kusters, R. J. (2023). Data governance capabilities: empirical validation in case studies of large organisations. In A. Pucihar, M. K. Borštnar, R. Bons, G. Ongena, M. Heikkilä, & D. Vidmar (Eds.), 36th Bled eConference Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability (1 ed., pp. 35-48). University of Maribor Press. https://doi.org/10.18690/um.fov.4.2023, https://doi.org/10.18690/um.fov.4.2023.3

Merkus, Jan ; Helms, R.W. ; Kusters, R.J. / Data governance capabilities : empirical validation in case studies of large organisations. 36th Bled eConference Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability. editor / Andreja Pucihar ; Mirjana Kljajić Borštnar ; Roger Bons ; Guido Ongena ; Marikka Heikkilä ; Doroteja Vidmar. 1. ed. Bled : University of Maribor Press, 2023. pp. 35-48 (36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings).

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Merkus, J , Helms, RW & Kusters, RJ 2023, Data governance capabilities: empirical validation in case studies of large organisations. in A Pucihar, MK Borštnar, R Bons, G Ongena, M Heikkilä & D Vidmar (eds), 36th Bled eConference Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability. 1 edn, University of Maribor Press, Bled, 36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings, pp. 35-48, 36th Bled eConference, Bled, Slovenia, 25/06/23. https://doi.org/10.18690/um.fov.4.2023, https://doi.org/10.18690/um.fov.4.2023.3

Data governance capabilities: empirical validation in case studies of large organisations. / Merkus, Jan ; Helms, R.W.; Kusters, R.J.
36th Bled eConference Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability. ed. / Andreja Pucihar; Mirjana Kljajić Borštnar; Roger Bons; Guido Ongena; Marikka Heikkilä; Doroteja Vidmar. 1. ed. Bled: University of Maribor Press, 2023. p. 35-48 (36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review

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Merkus J , Helms RW , Kusters RJ. Data governance capabilities: empirical validation in case studies of large organisations. In Pucihar A, Borštnar MK, Bons R, Ongena G, Heikkilä M, Vidmar D, editors, 36th Bled eConference Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability. 1 ed. Bled: University of Maribor Press. 2023. p. 35-48. (36th Bled eConference: Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability, BLED 2023 - Proceedings). doi: 10.18690/um.fov.4.2023, 10.18690/um.fov.4.2023.3

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

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