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Cited by 480

The DOI matches its Crossref record.

Planning for ERP systems: analysis and future trend

Chen, Injazz J.·2001·Business Process Management Journal
DOI 10.1108/14637150110406768
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Abstract

The successful implementation of various enterprise resource planning (ERP) systems has provoked considerable interest over the last few years. Management has recently been enticed to look toward these new information technologies and philosophies of manufacturing for the key to survival or competitive edges. Although there is no shortage of glowing reports on the success of ERP installations, many companies have tossed millions of dollars in this direction with little to show for it. Since many of the ERP failures today can be attributed to inadequate planning prior to installation, we choose to analyze several critical planning issues including needs assessment and choosing a right ERP system, matching business process with the ERP system, understanding the organizational requirements, and economic and strategic justification. In addition, this study also identifies new windows of opportunity as well as challenges facing companies today as enterprise systems continue to evolve and expand.

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Metadata

Authors
Chen, I. J.
Venue
Business Process Management Journal
Publisher
Emerald
Published
2001-12-01
Volume
7
Issue
5
Pages
374-386
ISSN
1463-7154 (ISSN-L)
DOI
10.1108/14637150110406768
OpenAlex
W2011466099
Cited by
480
References
0
FWCI
18.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Planning for ERP systems: analysis and future trend. https://app.cochat.ai/papers/10.1108/14637150110406768
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Chen, I. J. (2001). Planning for ERP systems: analysis and future trend. Business Process Management Journal. https://doi.org/10.1108/14637150110406768

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.