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Competing for supply and demand: Understanding retailers' ordering decisions

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  • Villa, Sebastián

Abstract

Supply chains require the interaction between retailers and suppliers in a dynamic environment. One frequent and costly source of inefficiencies produced by these interactions is known as the bullwhip effect. The bullwhip effect takes place when the variability of orders increases as one moves up the supply chain. However, the impact of this variability is influenced by retailers who compete both for supply and demand. This study systematically explores the impact of the bullwhip effect when there is horizontal competition among retailers. We develop a mathematical model in a competitive system and create two behavioral studies to evaluate the effect of supplier's responsiveness, customers' overreaction, and capacity allocation on retailers' decisions. We show evidence of participants' limited ability to reduce the bullwhip effect. Our results show that competition for supply has a strong effect on participants' ordering decisions, while competition for demand does not impact how retailers inflate their orders. Furthermore, we show that by adjusting the supplier's allocation mechanism, order variability decreases in up to 50%. Our econometric model shows that (i) more complex systems increase the bullwhip effect but decrease retailers' biases, and (ii) retailers underreact to shipments received from the supplier and ignore customers' order cancellations. We provide recommendations to decrease the impact of the bullwhip effect on supply chains.

Suggested Citation

  • Villa, Sebastián, 2022. "Competing for supply and demand: Understanding retailers' ordering decisions," International Journal of Production Economics, Elsevier, vol. 244(C).
  • Handle: RePEc:eee:proeco:v:244:y:2022:i:c:s0925527321003315
    DOI: 10.1016/j.ijpe.2021.108355
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    References listed on IDEAS

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    1. Robert L. Bray & Yuliang Yao & Yongrui Duan & Jiazhen Huo, 2019. "Ration Gaming and the Bullwhip Effect," Operations Research, INFORMS, vol. 67(2), pages 453-467, March.
    2. Katok, Elena, 2011. "Using Laboratory Experiments to Build Better Operations Management Models," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 5(1), pages 1-86, November.
    3. James A. Kahn, 1992. "Why is Production More Volatile than Sales? Theory and Evidence on the Stockout-Avoidance Motive for Inventory-Holding," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 481-510.
    4. Van Ackere, Ann & Larsen, Erik Reimer & Morecroft, John D. W., 1993. "Systems thinking and business process redesign: An application to the beer game," European Management Journal, Elsevier, vol. 11(4), pages 412-423, December.
    5. Rachel Croson & Karen Donohue, 2002. "Experimental Economics and Supply-Chain Management," Interfaces, INFORMS, vol. 32(5), pages 74-82, October.
    6. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    7. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    8. Diehl, Ernst & Sterman, John D., 1995. "Effects of Feedback Complexity on Dynamic Decision Making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 62(2), pages 198-215, May.
    9. Junhai Ma & Xiaogang Ma, 2017. "Measure of the bullwhip effect considering the market competition between two retailers," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 313-326, January.
    10. Sterman, John D., 1989. "Misperceptions of feedback in dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(3), pages 301-335, June.
    11. Ravi Anupindi & Yehuda Bassok, 1999. "Centralization of Stocks: Retailers vs. Manufacturer," Management Science, INFORMS, vol. 45(2), pages 178-191, February.
    12. Ryan W. Buell, 2021. "Last-Place Aversion in Queues," Management Science, INFORMS, vol. 67(3), pages 1430-1452, March.
    13. Marcelo Olivares & Gérard P. Cachon, 2009. "Competing Retailers and Inventory: An Empirical Investigation of General Motors' Dealerships in Isolated U.S. Markets," Management Science, INFORMS, vol. 55(9), pages 1586-1604, September.
    14. Pelin Pekgün & Minseok Park & Pınar Keskinocak & Mani Janakiram, 2019. "Does Forecast‐Accuracy‐Based Allocation Induce Customers to Share Truthful Order Forecasts?," Production and Operations Management, Production and Operations Management Society, vol. 28(10), pages 2500-2513, October.
    15. 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.
    16. Sebastián Villa & Paulo Gonçalves & Santiago Arango, 2015. "Exploring retailers' ordering decisions under delays," System Dynamics Review, System Dynamics Society, vol. 31(1-2), pages 1-27, January.
    17. Gérard P. Cachon & Martin A. Lariviere, 1999. "Capacity Choice and Allocation: Strategic Behavior and Supply Chain Performance," Management Science, INFORMS, vol. 45(8), pages 1091-1108, August.
    18. Christian Erik Kampmann & John D. Sterman, 2014. "Do markets mitigate misperceptions of feedback?," System Dynamics Review, System Dynamics Society, vol. 30(3), pages 123-160, July.
    19. Mark Paich & John D. Sterman, 1993. "Boom, Bust, and Failures to Learn in Experimental Markets," Management Science, INFORMS, vol. 39(12), pages 1439-1458, December.
    20. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
    21. Andrew M. Davis & Elena Katok & Natalia Santamaría, 2014. "Push, Pull, or Both? A Behavioral Study of How the Allocation of Inventory Risk Affects Channel Efficiency," Management Science, INFORMS, vol. 60(11), pages 2666-2683, November.
    22. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    23. Haines, Russell & Hough, Jill & Haines, Douglas, 2017. "A metacognitive perspective on decision making in supply chains: Revisiting the behavioral causes of the bullwhip effect," International Journal of Production Economics, Elsevier, vol. 184(C), pages 7-20.
    24. Michael Becker-Peth & Elena Katok & Ulrich W. Thonemann, 2013. "Designing Buyback Contracts for Irrational But Predictable Newsvendors," Management Science, INFORMS, vol. 59(8), pages 1800-1816, August.
    25. Mor Armony & Erica L. Plambeck, 2005. "The Impact of Duplicate Orders on Demand Estimation and Capacity Investment," Management Science, INFORMS, vol. 51(10), pages 1505-1518, October.
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    Cited by:

    1. Lina Xu & Zhiqing Meng, 2024. "Optimizing Retailer Ordering Strategies: a Comparative Analysis of Membership and Non-Membership Systems," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 13027-13048, September.

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