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Unpacking the cognitive processes of the boundedly rational newsvendor

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  • Tarikere T. Niranjan
  • Narendra K. Ghosalya
  • Raveen R. Menon
  • Kristian Rotaru
  • Srinagesh Gavirneni

Abstract

We report on the findings of five controlled experiments that test the effectiveness of proposed interventions aiming to improve both the process and outcomes of decision making when performing the newsvendor task. We use eye‐tracking technology aided by interviews to gain new insights into people's cognitive processes. Our results confirm that human newsvendors exhibit the tendency of mean‐reverting demand prediction using past demand even when the demand is independent and identically distributed (i.i.d.). This points toward the presence of the cognitive bias known as the law of small numbers in the decision‐making process. The interventions involving ordering multiple products instead of the same product repeatedly, feedback frequency reduction, training and provision of optimal solution, all reduce reliance on the past demand, thereby reducing the extent of the mean‐reverting tendency. Yet, none of these interventions eliminated this tendency completely; overall, judgmental forecasting persisted, albeit at a lower extent or in a different form. This tendency provides a plausible explanation for the fact that the interventions (and the resultant reduction in reliance on past demand) fail to lead to performance improvements. While the qualitative analysis of the interviews shows the subjects’ intention to not rely on past demand in some instances, their gaze behavior shows that the past demand continued to impact their orders to varied degrees. Mere reduction (or even removal) of irrelevant information does not automatically make the subjects shift their focus to the relevant information and use them as intended.

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  • Tarikere T. Niranjan & Narendra K. Ghosalya & Raveen R. Menon & Kristian Rotaru & Srinagesh Gavirneni, 2023. "Unpacking the cognitive processes of the boundedly rational newsvendor," Production and Operations Management, Production and Operations Management Society, vol. 32(10), pages 3138-3157, October.
  • Handle: RePEc:bla:popmgt:v:32:y:2023:i:10:p:3138-3157
    DOI: 10.1111/poms.14027
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    as
    1. Gah-Yi Ban & Cynthia Rudin, 2019. "The Big Data Newsvendor: Practical Insights from Machine Learning," Operations Research, INFORMS, vol. 67(1), pages 90-108, January.
    2. Yufei Ren & Rachel Croson, 2013. "Overconfidence in Newsvendor Orders: An Experimental Study," Management Science, INFORMS, vol. 59(11), pages 2502-2517, November.
    3. 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.
    4. Gary E. Bolton & Sabrina Bonzelet & Tobias Stangl & Ulrich W. Thonemann, 2023. "Decision making under service‐level contracts: The role of cost saliency," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1243-1261, April.
    5. Camerer, Colin F & Hogarth, Robin M, 1999. "The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 7-42, December.
    6. Teck-Hua Ho & Noah Lim & Tony Haitao Cui, 2010. "Reference Dependence in Multilocation Newsvendor Models: A Structural Analysis," Management Science, INFORMS, vol. 56(11), pages 1891-1910, November.
    7. Rachel Croson & James Sundali, 2005. "The Gambler’s Fallacy and the Hot Hand: Empirical Data from Casinos," Journal of Risk and Uncertainty, Springer, vol. 30(3), pages 195-209, May.
    8. John Conlisk, 1996. "Why Bounded Rationality?," Journal of Economic Literature, American Economic Association, vol. 34(2), pages 669-700, June.
    9. Xuanming Su, 2008. "Bounded Rationality in Newsvendor Models," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 566-589, May.
    10. Yun Shin Lee & Enno Siemsen, 2017. "Task Decomposition and Newsvendor Decision Making," Management Science, INFORMS, vol. 63(10), pages 3226-3245, October.
    11. Nelson Lau & J. Neil Bearden, 2013. "Newsvendor Demand Chasing Revisited," Management Science, INFORMS, vol. 59(5), pages 1245-1249, May.
    12. Haresh Gurnani & Karthik Ramachandran & Saibal Ray & Yusen Xia, 2014. "Ordering Behavior Under Supply Risk:An Experimental Investigation," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 61-75, February.
    13. Mahesh Nagarajan & Steven Shechter, 2014. "Prospect Theory and the Newsvendor Problem," Management Science, INFORMS, vol. 60(4), pages 1057-1062, April.
    14. Xiaoyang Long & Javad Nasiry, 2015. "Prospect Theory Explains Newsvendor Behavior: The Role of Reference Points," Management Science, INFORMS, vol. 61(12), pages 3009-3012, December.
    15. Egri, Péter & Váncza, József, 2012. "Channel coordination with the newsvendor model using asymmetric information," International Journal of Production Economics, Elsevier, vol. 135(1), pages 491-499.
    16. Tsekrekos, Andrianos E. & Yannacopoulos, Athanasios N., 2016. "Optimal switching decisions under stochastic volatility with fast mean reversion," European Journal of Operational Research, Elsevier, vol. 251(1), pages 148-157.
    17. 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.
    18. Tarikere T. Niranjan & Narendra K. Ghosalya & Srinagesh Gavirneni, 2022. "Crying Wolf and a Knowing Wink: A Behavioral Study of Order Inflation and Discounting in Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1071-1088, March.
    19. Tong Wang & Atalay Atasu & Mümin Kurtuluş, 2012. "A Multiordering Newsvendor Model with Dynamic Forecast Evolution," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 472-484, July.
    20. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    21. Matthew Rabin, 2002. "Inference by Believers in the Law of Small Numbers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 775-816.
    22. Berkeley J. Dietvorst & Joseph P. Simmons & Cade Massey, 2018. "Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them," Management Science, INFORMS, vol. 64(3), pages 1155-1170, March.
    23. Qin, Yan & Wang, Ruoxuan & Vakharia, Asoo J. & Chen, Yuwen & Seref, Michelle M.H., 2011. "The newsvendor problem: Review and directions for future research," European Journal of Operational Research, Elsevier, vol. 213(2), pages 361-374, September.
    24. Bhavani Shanker Uppari & Sameer Hasija, 2019. "Modeling Newsvendor Behavior: A Prospect Theory Approach," Manufacturing & Service Operations Management, INFORMS, vol. 21(3), pages 481-500, July.
    25. Daniella Laureiro-Martínez & Stefano Brusoni & Nicola Canessa & Maurizio Zollo, 2015. "Understanding the exploration–exploitation dilemma: An fMRI study of attention control and decision-making performance," Strategic Management Journal, Wiley Blackwell, vol. 36(3), pages 319-338, March.
    26. Ruomeng Cui & Gad Allon & Achal Bassamboo & Jan A. Van Mieghem, 2015. "Information Sharing in Supply Chains: An Empirical and Theoretical Valuation," Management Science, INFORMS, vol. 61(11), pages 2803-2824, November.
    27. Jordan Tong & Daniel Feiler, 2017. "A Behavioral Model of Forecasting: Naive Statistics on Mental Samples," Management Science, INFORMS, vol. 63(11), pages 3609-3627, November.
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