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Cited by 274

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Fairness in supply chain contracts: A laboratory study

Katok, Elena, Pavlov, Valery·2013·Journal of Operations Management

Abstract

Various contracts can be designed to coordinate a simple supplier–retailer channel, yet the contracts proposed in prior research and tested in a laboratory setting do not perform as standard theory predicts. The supplier, endowed with all bargaining power, can neither fully coordinate the channel nor extract all of the channel profit. We report on a sequence of laboratory experiments designed to separate possible causes of channel inefficiency. The three causes we consider are inequality aversion, bounded rationality, and incomplete information. It turns out that all three affect human behavior. Inequality aversion has by far the most explanatory power regarding retailers’ behavior. Incomplete information about the retailer's degree of inequality aversion has the most explanatory power in regards to the suppliers’ behavior. Bounded rationality affects both players, but is of secondary importance.

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Metadata

Authors
Katok, E., & Pavlov, V.
Venue
Journal of Operations Management
Publisher
Wiley
Published
2013-01-30
Volume
31
Issue
3
Pages
129-137
ISSN
  • 0272-6963 (ISSN-L)
  • 1873-1317
OpenAlex
W2014773150
Cited by
274
References
59
FWCI
34.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fairness in supply chain contracts: A laboratory study. https://app.cochat.ai/papers/10.1016/j.jom.2013.01.001
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Katok, E., & Pavlov, V. (2013). Fairness in supply chain contracts: A laboratory study. Journal of Operations Management. https://doi.org/10.1016/j.jom.2013.01.001

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.