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A Meta‐Analysis of Newsvendor Experiments: Revisiting the Pull‐to‐Center Asymmetry

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  • Yinghao Zhang
  • Enno Siemsen

Abstract

The field of behavioral operations has produced a rich tradition of experiments in newsvendor decision‐making. Our study provides a meta‐analysis of 24 papers in this research area; we confirm that the pull‐to‐center (PtC) effect, where average order quantities in a sample lie in between average demand and optimal order quantities, is a very stable observable phenomenon across studies. However, we also show that the asymmetry in the PtC effect between high‐margin and low‐margin conditions varies significantly from study to study; factors that allow predicting the extent and direction of the PtC asymmetry include the likelihood of obtaining losses, the way underage costs are presented to subjects, and the existence of a decision support system. We validate these factors using a controlled experiment. In conclusion, the PtC asymmetry appears less as a fundamental attribute of human behavior, but rather as a function of the design aspects of the experiment.

Suggested Citation

  • Yinghao Zhang & Enno Siemsen, 2019. "A Meta‐Analysis of Newsvendor Experiments: Revisiting the Pull‐to‐Center Asymmetry," Production and Operations Management, Production and Operations Management Society, vol. 28(1), pages 140-156, January.
    • Handle: RePEc:bla:popmgt:v:28:y:2019:i:1:p:140-156
    DOI: 10.1111/poms.12899
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    Cited by:

    1. Suvrat Dhanorkar & Enno Siemsen, 2021. "How Nudges Lead to Improved Energy Efficiency in Manufacturing: Evidence from Archival Data and a Field Study," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3735-3757, October.
    2. Hofstra, Nienke & Spiliotopoulou, Eirini, 2022. "Behavior in rationing inventory across retail channels," European Journal of Operational Research, Elsevier, vol. 299(1), pages 208-222.
    3. Sebastian Schiffels & Guido Voigt, 2021. "Capacity Reservation and Wholesale Price Contracts under Forecast Sharing: A Behavioral Assessment," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3579-3598, October.
    4. Alexander Harin, 2022. "Forbidden Zones for the Expectations of Data: New Mathematical Methods and Models for Behavioral Economics," Academic Journal of Applied Mathematical Sciences, Academic Research Publishing Group, vol. 8(1), pages 12-26, 12-2021.
    5. Harin, Alexander, 2023. "To solve old problems of economics. The experimental background," MPRA Paper 117157, University Library of Munich, Germany.
    6. Wei Liu & Han Zhao & Shiji Song & Wenxuan He & Xiaochen Li, 2021. "Coping with Loss Aversion and Risk Management in the Supply Chain Coordination," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    7. Bai, Tian & Wu, Meng & Zhu, Stuart X., 2019. "Pricing and ordering by a loss averse newsvendor with reference dependence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 343-365.
    8. Chen, Junlin & Feng, Xiaojing & Kou, Gang & Mu, Mengting, 2023. "Multiproduct newsvendor with cross-selling and narrow-bracketing behavior using data mining methods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    9. Harin, Alexander, 2021. "Behavioral economics. Forbidden zones. New method and models," MPRA Paper 106545, University Library of Munich, Germany.
    10. Jammernegg, Werner & Kischka, Peter & Silbermayr, Lena, 2022. "Heterogeneity, asymmetry and applicability of behavioral newsvendor models," European Journal of Operational Research, Elsevier, vol. 301(2), pages 638-646.
    11. Qingren He & Taiwei Shi & Botao Liu & Wanhua Qiu, 2022. "The Ordering Optimization Model for Bounded Rational Retailer with Inventory Transshipment," Mathematics, MDPI, vol. 10(7), pages 1-16, March.
    12. Liu, Chao & Chen, Weidong, 2019. "Decision making in green supply chains under the impact of the stochastic and multiple-variable dependent reference point," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 443-469.

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