Abstract
The data quality of master data, and data governance, has been under researched despite the increase in importance and relevancy to technologies such as AI and for data-driven decision making. To understand why there is a disjoint between the need for accurate master data and the lack of attention that it has been given in research and organisations, a systematic literature review was conducted for relevant Information Systems papers over the last ten years. The Work Systems Framework was used to interpret possible precursors of master data quality issues found from 56 relevant articles. Most of the precursors were found to be related to information, and infrastructure. This may indicate that there are important precursors of master data quality that may or may not be entirely in the control of the work system itself. Future work was suggested to further understand the precursors of master data quality issues by understanding which mechanisms cause them.
Recommended Citation
Keith, Kim and Seymour, Lisa, "Precursors of Master Data Quality Issues across Enterprise Systems" (2025). UK Academy for Information Systems Conference Proceedings 2025. 17.
https://aisel.aisnet.org/ukais2025/17