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Cited by 289

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Tailoring ERP systems: a spectrum of choices and their implications

Brehm, L., Heinzl, A., Markus, M.L.·2005·Proceedings of the 34th Annual Hawaii International Conference on System Sciences
DOI 10.1109/hicss.2001.927130
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Abstract

The IS literature distinguishes between custom-built and off-the-shelf software. Enterprise resource planning (ERP) packages are often viewed as off-the-shelf software, because adopters implement them by setting parameters (called configuration), rather traditional programming. Making changes to ERP software code (called modification) is usually strongly discouraged by vendors and implementation consultants. Nevertheless, field research has shown that many companies have had to modify ERP software in various ways to meet essential business needs. This suggests that ERP packages do not fit cleanly into the custom/off-the shelf distinction. The authors describe a portfolio of tailoring options between configuration and modification, with important implications for implementation risk and the difficulty of ERP system upgrades. They discuss the implications of their framework for practitioners and for further research on ERP systems.

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Research works printed but not linked: 26

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Metadata

Authors
Brehm, L., Heinzl, A., & Markus, M. L.
Venue
Proceedings of the 34th Annual Hawaii International Conference on System Sciences
Publisher
IEEE Comput. Soc
Published
2005-08-29
Pages
9
ISSN
1530-1605 (ISSN-L)
DOI
10.1109/hicss.2001.927130
OpenAlex
W2143819510
Cited by
289
References
1
FWCI
29.04
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tailoring ERP systems: a spectrum of choices and their implications. https://app.cochat.ai/papers/10.1109/hicss.2001.927130
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Brehm, L., Heinzl, A., & Markus, M. L. (2005). Tailoring ERP systems: a spectrum of choices and their implications. Proceedings of the 34th Annual Hawaii International Conference on System Sciences. https://doi.org/10.1109/hicss.2001.927130

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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.