Data Governance Capabilities Model: Empirical Validation for Perceived Usefulness and Perceived Ease of Use in Three Case Studies of Large Organisations

Jan Merkus, Remko Helms, Rob Kusters

2025

Abstract

A Data Governance Capabilities (DGC) model for measuring the status quo of Data Governance (DG) in an organisation has been validated in practice. After DG experts gained experience with the operationalised DGC model, we evaluated its perceived usefulness (PU) and perceived ease of use (PEOU) in case studies of three large organisations in the Netherlands. PU and PEOU are evaluated positively, but a moderator and knowledgeable participants remain necessary to make a meaningful contribution.

Paper Citation

in Harvard Style

Merkus J., Helms R. and Kusters R. (2025). Data Governance Capabilities Model: Empirical Validation for Perceived Usefulness and Perceived Ease of Use in Three Case Studies of Large Organisations. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 99-108. DOI: 10.5220/0013358100003929

in Bibtex Style

@conference{iceis25,
author={Jan Merkus and Remko Helms and Rob Kusters},
title={Data Governance Capabilities Model: Empirical Validation for Perceived Usefulness and Perceived Ease of Use in Three Case Studies of Large Organisations},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={99-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013358100003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Data Governance Capabilities Model: Empirical Validation for Perceived Usefulness and Perceived Ease of Use in Three Case Studies of Large Organisations
SN - 978-989-758-749-8
AU - Merkus J.
AU - Helms R.
AU - Kusters R.
PY - 2025
SP - 99
EP - 108
DO - 10.5220/0013358100003929
PB - SciTePress