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Cited by 182

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Data quality issues in implementing an ERP

Xu, Hongjiang, Horn Nord, Jeretta, Brown, Noel, Daryl Nord, G.·2002·Industrial Management & Data Systems

Abstract

Data quality is a critical issue during the implementation of an enterprise resource planning (ERP) system. Data quality problems can have a significant impact on an organisation’s information system. Therefore, it is essential to understand data quality issues to ensure success in implementing ERP systems. This paper uses SAP as an example of an ERP system and describes a study, which explores data quality problems with existing systems, and identifies critical success factors that impact data quality. The study resulted in the development of a framework for understanding data quality issues in implementing an ERP, and application of this framework in a case study in two large Australian organisations. The findings of the study suggest that the importance of data quality needs to be widely understood in implementing an ERP, as well as providing recommendations that may be useful to practitioners.

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Metadata

Authors
Xu, H., Horn Nord, J., Brown, N., & Daryl Nord, G.
Venue
Industrial Management & Data Systems
Publisher
Emerald
Published
2002-02-01
Volume
102
Issue
1
Pages
47-58
ISSN
0263-5577 (ISSN-L)
OpenAlex
W2059123156
Cited by
182
References
3
FWCI
14.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Data quality issues in implementing an ERP. https://app.cochat.ai/papers/10.1108/02635570210414668
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Xu, H., Horn Nord, J., Brown, N., & Daryl Nord, G. (2002). Data quality issues in implementing an ERP. Industrial Management & Data Systems. https://doi.org/10.1108/02635570210414668

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.