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A review of supply chain data mining publications

Authors

  • David L. Olson University of Nebraska Lincoln

DOI:

https://doi.org/10.18757/jscms.2020.955

Keywords:

Data mining, Supply Chain Management, Review paper

Abstract

The use of data mining in supply chains is growing, and covers almost all aspects of supply chain management. A framework of supply chain analytics is used to classify data mining publications reported in supply chain management academic literature. Scholarly articles were identified using SCOPUS and EBSCO Business search engines. Articles were classified by supply chain function. Additional papers reflecting technology, to include RFID use and text analysis were separately reviewed. The paper concludes with discussion of potential research issues and outlook for future development.

Author Biography

David L. Olson, University of Nebraska Lincoln

Full Professor

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Published

2020-06-23

Versions

How to Cite

Olson, D. L. (2020). A review of supply chain data mining publications. Journal of Supply Chain Management Science, 1(1-2), 15–26. https://doi.org/10.18757/jscms.2020.955

Issue

Vol. 1 No. 1-2 (2020): January 2020 - June 2020

Section

Articles

License

JSCMS is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence. The license means that anyone is free to share (to copy, distribute, and transmit the work), to remix (to adapt the work) under the following conditions:

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