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Articles

Critical Success Factors for Data Governance: A Theory Building Approach

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ABSTRACT

The objective of this research study is to present the critical success factors (CSFs) for data governance (DG). This paper reports on a single case study where data are gathered through semi-structured interviews following the CSF approach and analyzed by applying open, axial, and selective coding techniques. The findings are presented as seven CSFs, which are ranked in order of importance. Furthermore, we highlight the need to better understand the relationships (interconnectedness) between the CSFs.

Additional information

Notes on contributors

Ibrahim Alhassan

Ibrahim Alhassan is an assistant professor in the department of E-commerce at Saudi Electronic University, Riyadh, Saudi Arabia. He has worked for several years in different industries as a business developer. Ibrahim’s current research interests lie in exploring data governance practices and his research has been published in the Journal of Enterprise Information Management and the Journal of Decision Systems.

David Sammon

David Sammon is a Professor (Information Systems) at Cork University Business School, University College Cork, Ireland. He is co-Director of the IMI Data Business executive masters program and is co-founder of the VIVID Research Centre. He is Editor-in-Chief of the Journal of Decision Systems.

Mary Daly

Mary Daly is a lecturer and researcher in Business Information Systems at Cork University Business School, University College Cork, Ireland She is Co-director of the MSc Business Information and Analytics Systems.

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