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Enterprise resource planning: the emerging organizational value systems
Abstract
Enterprise resource planning (ERP) is a set of applications that automate finance and human resource departments and help manufacturers handle jobs such as order processing and production scheduling. This paper attempts to provide an overview of an ERP system along with the real experiences of its implementation. Reports results of a survey of several ERP companies and considers factors such as future trends in ERP including developments such as Web‐based procurement applications and outsourcing of ERP applications. Suggests some challenges for ERP, such as the need to ensure global compatibility and flexibility.
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Cited by
Rfid Technologies: Supply-Chain Applications and Implementation Issues
Angeles, R. (2005) · Information Systems Management · doi:10.1201/1078/44912.22.1.20051201/85739.7 · Cited by 818
Enterprise resource planning: An integrative review
Shehab, E. M., Sharp, M. W., Supramaniam, L., & Spedding, T. A. (2004) · Business Process Management Journal · doi:10.1108/14637150410548056 · Cited by 801
Calisir, F., & Calisir, F. (2004) · Computers in Human Behavior · doi:10.1016/j.chb.2003.10.004 · Cited by 474
Pan, M.-J., & Jang, W.-Y. (2008) · Journal of Computer Information Systems · doi:10.1080/08874417.2008.11646025 · Cited by 410
A Review of ERP Research: A Future Agenda for Accounting Information Systems
Grabski, S. V., Leech, S. A., & Schmidt, P. J. (2011) · Journal of Information Systems · doi:10.2308/jis.2011.25.1.37 · Cited by 408
Metadata
- Authors
- Gupta, A.
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2000-04-01
- Volume
- 100
- Issue
- 3
- Pages
- 114-118
- ISSN
- 0263-5577 (ISSN-L)
- OpenAlex
- W1966995810
- Cited by
- 297
- References
- 0
- FWCI
- 12.81
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
