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Unlocking the Value of RFID

Lee, Hau, Özer, Özalp·2007·Production and Operations Management

Abstract

RFID (Radio‐Frequency Identification) technology has shown itself to be a promising technology to track movements of goods in a supply chain. As such, it can give unprecedented visibility to the supply chain. Such visibility can save labor cost, improve supply chain coordination, reduce inventory and increase product availability. Industry reports and white papers are now filled with estimates and proclamations of the benefits and quantified values of RFID. Early adopters are now rallying more and more followers. However, most such claims are educated guesses at best and are not substantiated, that is, they are not based on detailed, model‐based analysis. This paper argues that there is a huge credibility gap of the value of RFID, and that a void exists in showing how the proclaimed values are arrived at, and how those values can be realized. The paper shows that this credibility gap must be filled with solid model analysis, and therefore presents a great opportunity for the Production and Operations Management (POM) research community. The paper reviews some of the ongoing research efforts that attempt to close the credibility gap, and suggests additional directions for further strengthening the POM's contribution to help industry realize the full potentials of RFID.

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Metadata

Authors
Lee, H., & Özer, Ö.
Venue
Production and Operations Management
Published
2007-01
Volume
16
Issue
1
Pages
40-64
ISSN
  • 1059-1478 (ISSN-L)
  • 1937-5956
OpenAlex
W2117597783
Cited by
504
References
0
FWCI
129.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Unlocking the Value of RFID. https://app.cochat.ai/papers/10.1111/j.1937-5956.2007.tb00165.x
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Lee, H., & Özer, Ö. (2007). Unlocking the Value of RFID. Production and Operations Management. https://doi.org/10.1111/j.1937-5956.2007.tb00165.x

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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.