Newsvendor’s Response to Demand History

  • Wei Geng
  • Xiaodong Ding
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8528)


Mean anchor and chasing demand are two heuristics widely used in literature to explain newsvendor’s decision bias. The mean anchor heuristic is an aggregate representation, and static to some extent. In a dynamic setting we significantly control demand chasing behavior and conduct a laboratory experiment. We find that besides the two aforementioned heuristics subject’s response to demand history is heterogenous and cannot be neglected.


Individual Model Order Quantity Customer Demand Aggregate Model Optimal Order Quantity 
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  1. 1.
    Schweitzer, M.E., Cachon, G.P.: Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence. Management Science 46(3), 404–420 (2000)CrossRefzbMATHGoogle Scholar
  2. 2.
    Bolton, G.E., Katok, E.: Learning by Doing in the Newsvendor Problem: A Laboratory Investigation of the Role of Experience and Feedback. Manufacturing & Service Operations Management 10(3), 519–538 (2008)CrossRefGoogle Scholar
  3. 3.
    Bostian, A.A., Holt, C.A., Smith, A.M.: Newsvendor Pull-to-center Effect: Adaptive Learning in a Laboratory Experiment. Manufacturing & Service Operations Management 10(4), 590–608 (2008)CrossRefGoogle Scholar
  4. 4.
    Becker-Peth, M., Katok, E., Thonemann, U.W.: Designing Buyback Contracts for Irrational But Predictable Newsvendors. Management Science 59(8), 1800–1816 (2013)CrossRefGoogle Scholar
  5. 5.
    Lau, N., Bearden, J.N.: Newsvendor Demand Chasing Revisited. Management Science 59(5), 1245–1249 (2013)CrossRefGoogle Scholar
  6. 6.
    Baucells, M., Weber, M., Welfens, F.: Reference-point formation and updating. Management Science 57(3), 506–519 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Wei Geng
    • 1
  • Xiaodong Ding
    • 2
  1. 1.School of Economics and ManagementSouthwest Jiaotong UniversityChengduChina
  2. 2.School of Traffic and TransportationSouthwest Jiaotong UniversityChengduChina

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