Designing Buyback Contracts for Irrational But Predictable Newsvendors
Michael Becker-Peth (), 
Elena Katok () and 
Ulrich W. Thonemann ()
Additional contact information 
Michael Becker-Peth: Department of Supply Chain Management and Management Science, University of Cologne, D-50923 Cologne, Germany
Ulrich W. Thonemann: Department of Supply Chain Management and Management Science, University of Cologne, D-50923 Cologne, Germany
Management Science, 2013, vol. 59, issue 8, 1800-1816
Abstract:
One of the main assumptions in research on designing supply contracts is that decision makers act in a way that maximizes their expected profit. A number of laboratory experiments demonstrate that this assumption does not hold. Specifically, faced with uncertain demand, decision makers place orders that systematically deviate from the expected profit maximizing levels. We have added to this body of knowledge by demonstrating that ordering decisions also systematically depend on individual contract parameters and by developing a behavioral model that captures this systematic behavior. We proceed to test our behavioral model using laboratory experiments and use the data to derive empirical model parameters. We then test our approach in out-of-sample validation experiments that confirm that, indeed, contracts designed using the behavioral model perform better than contracts designed using the standard model. This paper was accepted by Christian Terwiesch, operations management.
Keywords: newsvendor; behavioral operations; experimental; order behavior; contract optimization (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc 
Citations: View citations in EconPapers (55) 
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.1120.1662 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX 
RIS (EndNote, ProCite, RefMan) 
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:59:y:2013:i:8:p:1800-1816
Access Statistics for this article
More articles in Management Science  from  INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().