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Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior

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  • Nils Rudi

    (INSEAD, 138676 Singapore)

  • David Drake

    (Harvard Business School, Harvard University, Boston, Massachusetts 02163)

Abstract

In an experimental newsvendor setting, we investigate three phenomena: level behavior ---the decision maker's average ordering tendency; adjustment behavior ---the tendency to adjust period-to-period order quantities; and observation bias ---the tendency to let the degree of demand feedback influence order quantities. We find that, in three of four conditions, the portion of mismatch cost that results from adjustment behavior exceeds the portion of mismatch cost caused by level behavior. Observation bias is studied through censored demand feedback, a situation that arguably represents most newsvendor settings. When demands are uncensored, subjects tend to order below the normative quantity when they face high margin and above the normative quantity when they face low margin, but in neither case do they order beyond mean demand (the pull-to-center effect). Censoring in general leads to lower quantities, magnifying the below-normative-level behavior when they face high margin but partially counterbalancing the above-normative-level behavior when they face low margin, violating the pull-to-center effect in both cases.Data, as supplemental material, are available at http://dx.doi.org/10.1287/mnsc.2013.1825 . This paper was accepted by Christian Terwiesch, operations management .

Suggested Citation

  • Nils Rudi & David Drake, 2014. "Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior," Management Science, INFORMS, vol. 60(5), pages 1334-1345, May.
    • Handle: RePEc:inm:ormnsc:v:60:y:2014:i:5:p:1334-1345
    DOI: 10.1287/mnsc.2013.1825
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    1. AJ A. Bostian & Charles A. Holt & Angela M. Smith, 2008. "Newsvendor "Pull-to-Center" Effect: Adaptive Learning in a Laboratory Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 590-608, July.
    2. Steven Nahmias, 1994. "Demand estimation in lost sales inventory systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(6), pages 739-757, October.
    3. Gary E. Bolton & Axel Ockenfels & Ulrich W. Thonemann, 2012. "Managers and Students as Newsvendors," Management Science, INFORMS, vol. 58(12), pages 2225-2233, December.
    4. Martin A. Lariviere & Evan L. Porteus, 1999. "Stalking Information: Bayesian Inventory Management with Unobserved Lost Sales," Management Science, INFORMS, vol. 45(3), pages 346-363, March.
    5. Mirko Kremer & Stefan Minner & Luk N. Van Wassenhove, 2010. "Do Random Errors Explain Newsvendor Behavior?," Manufacturing & Service Operations Management, INFORMS, vol. 12(4), pages 673-681, July.
    6. Cade Massey & George Wu, 2005. "Detecting Regime Shifts: The Causes of Under- and Overreaction," Management Science, INFORMS, vol. 51(6), pages 932-947, June.
    7. Daniel C. Feiler & Jordan D. Tong & Richard P. Larrick, 2013. "Biased Judgment in Censored Environments," Management Science, INFORMS, vol. 59(3), pages 573-591, January.
    8. Xuanming Su, 2008. "Bounded Rationality in Newsvendor Models," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 566-589, May.
    9. Lurie, Nicholas H. & Swaminathan, Jayashankar M., 2009. "Is timely information always better? The effect of feedback frequency on decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 108(2), pages 315-329, March.
    10. U Benzion & Y Cohen & R Peled & T Shavit, 2008. "Decision-making and the newsvendor problem: an experimental study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1281-1287, September.
    11. Gary E. Bolton & Elena Katok, 2008. "Learning by Doing in the Newsvendor Problem: A Laboratory Investigation of the Role of Experience and Feedback," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 519-538, September.
    12. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    13. Giora Harpaz & Wayne Y. Lee & Robert L. Winkler, 1982. "Learning, Experimentation, and the Optimal Output Decisions of a Competitive Firm," Management Science, INFORMS, vol. 28(6), pages 589-603, June.
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