The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The financial performance effects of IT‐based supply chain management systems in manufacturing firms
Abstract
This paper examines the financial benefits of information technology investments around newly adopted IT‐based supply chain management (SCM) systems by 123 manufacturing firms over the period 1994–2000. We form hypotheses using the value chain to specify the expected financial impact of SCM systems. By examining the change in financial performance pre‐ and post‐adoption controlling for industry median changes in performance, we find that SCM systems increase gross margin, inventory turnover, market share, return on sales, and reduce selling, general, and administrative expenses. We also provide a model showing how process improvements around supply chain initiatives combine to improve overall performance. Finally, we show that contextual effects such as firms in the high‐tech industry and the scope of the supply chain implementation have dramatic effects on the overall financial performance resulting from supply chain implementations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bharadwaj, A. S. (2000) · MIS Quarterly · doi:10.2307/3250983 · Cited by 5,042
Research works printed but not linked: 60
- 10.1287/isre.6.1.3 · DOI · Paper page
- Barua A., 2000, Framing the Domains of IT Management Research: Glimpsing the Future through the Past
- Benjamin R., 1995, Electronic markets and virtual value chains on the information superhighway, Sloan Management Review, 36, 62
- 10.1108/09600039410074773 · DOI
- 10.1287/mnsc.45.7.1008 · DOI · Paper page
- 10.1080/07421222.2005.11045844 · DOI · Paper page
- Blaxill M.F., 1991, The fallacy of the overhead quick fix, Harvard Business Review, 69, 93
- Brynjolfsson E. Yang S. 1999. The intangible costs and benefits of computer investments: evidence from the financial markets. In: Proceedings of the International Conference on Information Systems. Atlanta GA December 1997 MIT Working Paper.http://ebusiness.mit.edu/erik/ITQ00‐11–25.pdf. Revised April 1999.
- 10.1016/S0378-7206(03)00051-X · DOI
- 10.1108/00251740310495568 · DOI
- 10.1016/j.jom.2003.12.007 · DOI
- 10.1080/07421222.1992.11517956 · DOI · Paper page
- 10.1080/07421222.1993.11517998 · DOI
- D’Aveni R.A., 1994, Hypercompetition: Managing the Dynamics of Strategic Maneuvering
- 10.2308/jis.2002.16.1.7 · DOI · Paper page
- 10.2307/30036551 · DOI · Paper page
- 10.1287/isre.4.1.1 · DOI
- Egan D., 1995, High‐tech firms slow to deliver, Electronic Buyers’ News, 12, 52
- Elmuti D., 2002, The perceived impact of supply chain management on organizational effectiveness, Journal of Supply Chain Management: A Global Review of Purchasing and Supply, 38, 49, 10.1111/j.1745-493X.2002.tb00135.x · DOI
- Fisher M.L., 1997, What is the right supply chain for your product?, Harvard Business Review, 75, 105
- 10.2307/2491412 · DOI · Paper page
- 10.1016/S0272-6963(00)00055-3 · DOI
- 10.1016/j.ijpe.2003.08.003 · DOI
- Gupta M., 1994, Outsourcing and its impact on operations strategy, Production and Inventory Management Journal, 35, 70
- Harrington L.H., 1999, The high‐tech sector: meeting supply chain challenges at warp speed, Transportation & Distribution, 40, 49
- 10.1016/j.jom.2003.02.003 · DOI · Paper page
- 10.1509/jimk.8.3.61.19628 · DOI
- 10.1177/002224299505900101 · DOI
- 10.1057/palgrave.jors.2601539 · DOI
- 10.1002/smj.4250120904 · DOI · Paper page
- 10.1111/j.1745-493X.1997.tb00287.x · DOI
- 10.1111/j.1540-5915.2000.tb00923.x · DOI · Paper page
- 10.1108/09574099810805807 · DOI
- 10.1111/j.1540-5915.1998.tb01353.x · DOI · Paper page
- Mainardi C.A. Salva M. Sanderson M. 1999. Label of origin: made on earth. Strategy Management Competition Second Quarter. pp. 20–28 (available online athttp://www.strategy‐business.com/press/article/16620).
- 10.1108/01443579710177031 · DOI
- 10.1016/j.jom.2004.01.004 · DOI
- Monden Y., 1998, Toyota Production System
- 10.2307/249685 · DOI · Paper page
- 10.1111/j.1540-5915.1999.tb00903.x · DOI · Paper page
- 10.1111/j.1540-5915.1998.tb01355.x · DOI
- 10.1080/09537329208524105 · DOI
- Porter M.E., 1985, Competitive Advantage
- Porter M.E., 1980, Competitive Strategy
- 10.1002/smj.344 · DOI · Paper page
- 10.1108/01443570310491783 · DOI
- 10.2307/30036530 · DOI · Paper page
- 10.1002/j.2158-1592.2002.tb00016.x · DOI
- Scannell T.V., 2000, Upstream supply chain management and competitive performance in the automotive supply industry, Journal of Business Logistics, 21, 23
- 10.1016/S0272-6963(99)00031-5 · DOI · Paper page
- 10.1016/0024-6301(94)90211-9 · DOI
- 10.1108/09576059510085000 · DOI
- 10.1504/IJTM.2000.002861 · DOI
- 10.1016/j.jom.2005.05.002 · DOI
- Tan K.C., 1998, Supply chain management: supplier performance and firm performance, International Journal of Purchasing and Materials Management, 34, 2
- 10.1108/01443579910287064 · DOI · Paper page
- 10.17705/1jais.00061 · DOI
- 10.1016/j.jom.2003.02.002 · DOI · Paper page
- Watts C.A., 1993, Supplier development programs: an empirical analysis, International Journal of Purchasing and Materials Management, 29, 11
- Wisner J.D., 2000, Supply chain management and its impact on purchasing, Journal of Supply Chain Management: A Global Review of Purchasing and Supply, 36, 33, 10.1111/j.1745-493X.2000.tb00084.x · DOI
Cited by
How the use of big data analytics affects value creation in supply chain management
Chen, D. Q., Preston, D. S., & Swink, M. (2015) · Journal of Management Information Systems · doi:10.1080/07421222.2015.1138364 · Cited by 829
Schryen, G. (2013) · European Journal of Information Systems · doi:10.1057/ejis.2012.45 · Cited by 420
Information Technology Impacts on Firm Performance: An Extension of Kohli and 1
Sabherwal, R., & Jeyaraj, A. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39.4.4 · Cited by 200
Examining the antecedents of the technology acceptance model within e-procurement
Brandon-Jones, A., & Kauppi, K. (2018) · International Journal of Operations & Production Management · doi:10.1108/ijopm-06-2015-0346 · Cited by 181
Wong, C. W. Y., Lai, K.-H., Cheng, T. C. E., & Lun, Y. H. V. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.02.019 · Cited by 150
The Business Value of IT: A Synthesis and Framework of Archival Research
Masli, A., Richardson, V. J., Sanchez, J. M., & Smith, R. E. (2011) · Journal of Information Systems · doi:10.2308/isys-10117 · Cited by 98
Self-citationOrganizational adoption of supply chain management system: A multi-theoretic investigation
Cao, Q., Gan, Q., & Thompson, M. A. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.02.003 · Cited by 39
Mohammad Salem Alrjoub, A., & Akram Ahmad, M. (2017) · Investment Management and Financial Innovations · doi:10.21511/imfi.14(3).2017.01 · Cited by 32
Rong, W., & Swink, M. (2026) · Journal of Purchasing and Supply Management · doi:10.1016/j.pursup.2026.101177
Metadata
- Authors
- Dehning, B., Richardson, V. J., & Zmud, R. W.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2006-11-02
- Volume
- 25
- Issue
- 4
- Pages
- 806-824
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2069134832
- Cited by
- 410
- References
- 1
- FWCI
- 26.11
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.