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Is Inventory Centralization Profitable? An Experimental Investigation

Teck Ho
University of California, Berkeley - Haas School of Business

Noah Lim
affiliation not provided to SSRN

Tony Haitao Cui
University of Minnesota - Twin Cities


February 1, 2009


Abstract:     
A major tenet of standard multi-echelon inventory theory is that centralizing the inventory of a retailer with multiple stores yields greater profits because of the benefits of risk-pooling. However, this important theoretical prediction has not been empirically verified. This paper conducts incentive-compatible laboratory experiments to test whether order decisions and profits across centralized and decentralized inventory structures are in line with the predictions of the standard theory. The results show that while orders deviate systematically from the normative predictions, the predicted superiority of centralization survives bounded rationality. We develop a behavioral model that incorporates reference-dependence preferences and the well-documented human tendency to apply the law of small numbers and show that the model captures actual ordering decisions well. Since the proposed model nests the standard model as a special case, we can use it to formally quantify the extent to which actual behavior deviates from the standard model.

Keywords: newsvendor, behavioral economics, behavioral operations management, experimental economics

JEL Classifications: D03, D24, L11, M11

Working Paper Series

Date posted: June 16, 2009 ; Last revised: June 16, 2009

Suggested Citation

Ho, Teck, Lim, Noah and Cui, Tony Haitao, Is Inventory Centralization Profitable? An Experimental Investigation (February 1, 2009). Available at SSRN: http://ssrn.com/abstract=1419725


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Contact Information

Tony Haitao Cui (Contact Author)
University of Minnesota - Twin Cities ( email )
321 19th Ave S
Suite 3-150
Minneapolis, MN 55455
United States
Teck Ho
University of California, Berkeley - Haas School of Business ( email )
545 Student Services Building
Berkeley, CA 94720
United States
Noah Lim
affiliation not provided to SSRN ( email )
Feedback to SSRN (Beta)


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