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Decision Making and Cognition in Multi-Echelon Supply Chains: An Experimental Study

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  • Arunachalam Narayanan
  • Brent B. Moritz

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  • Arunachalam Narayanan & Brent B. Moritz, 2015. "Decision Making and Cognition in Multi-Echelon Supply Chains: An Experimental Study," Production and Operations Management, Production and Operations Management Society, vol. 24(8), pages 1216-1234, August.
  • Handle: RePEc:bla:popmgt:v:24:y:2015:i:8:p:1216-1234
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    References listed on IDEAS

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    1. Oechssler, Jörg & Roider, Andreas & Schmitz, Patrick W., 2009. "Cognitive abilities and behavioral biases," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 147-152, October.
    2. 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.
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    11. Holweg, Matthias & Bicheno, John, 2002. "Supply chain simulation - a tool for education, enhancement and endeavour," International Journal of Production Economics, Elsevier, vol. 78(2), pages 163-175, July.
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    Cited by:

    1. Strohhecker, Jürgen & Leyer, Michael, 2019. "How stock-flow failure and general cognitive ability impact performance in operational dynamic control tasks," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1044-1055.
    2. Pan, Jinrui & Shachat, Jason & Wei, Sijia, 2018. "Cognitive stress and learning Economic Order Quantity (EOQ) inventory management: An experimental investigation," MPRA Paper 86221, University Library of Munich, Germany.
    3. Villa, Sebastián & Castañeda, Jaime Andrés, 2018. "Transshipments in supply chains: A behavioral investigation," European Journal of Operational Research, Elsevier, vol. 269(2), pages 715-729.
    4. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    5. Tobias Stangl & Ulrich W. Thonemann, 2017. "Equivalent Inventory Metrics: A Behavioral Perspective," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 472-488, July.
    6. Paulo Gonçalves & Mohammad Moshtari, 2021. "The impact of information visibility on ordering dynamics in a supply chain: a behavioral perspective," System Dynamics Review, System Dynamics Society, vol. 37(2-3), pages 126-154, April.
    7. Hendijani, Rosa, 2021. "The effect of thinking style on dynamic systems performance: The mediating role of stock-flow understanding," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 95(C).
    8. 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.
    9. Liang Qi & Cleotilde Gonzalez, 2015. "Mathematical knowledge is related to understanding stocks and flows: results from two nations," System Dynamics Review, System Dynamics Society, vol. 31(3), pages 97-114, July.
    10. Rosa Hendijani, 2021. "Analytical thinking, Little's Law understanding, and stock‐flow performance: two empirical studies," System Dynamics Review, System Dynamics Society, vol. 37(2-3), pages 99-125, April.
    11. Jinrui Pan & Jason Shachat & Sijia Wei, 2020. "Cognitive reflection and economic order quantity inventory management: An experimental investigation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 998-1009, September.
    12. James Paine, 2023. "Dynamic supply chains with endogenous dispositions," System Dynamics Review, System Dynamics Society, vol. 39(1), pages 32-63, January.
    13. Robert J. Batt & Jordan D. Tong, 2020. "Mean Service Metrics: Biased Quality Judgment and the Customer–Server Quality Gap," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 975-995, September.
    14. 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.
    15. Siqi Ma & Li Hao & John A. Aloysius, 2021. "Women are an Advantage in Supply Chain Collaboration and Efficiency," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1427-1441, May.
    16. Yang, Y. & Lin, J. & Liu, G. & Zhou, L., 2021. "The behavioural causes of bullwhip effect in supply chains: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 236(C).
    17. Mehrdokht Pournader & Andrew Kach & Seyed Hossein Razavi Hajiagha & Ali Emrouznejad, 2017. "Investigating the impact of behavioral factors on supply network efficiency: insights from banking’s corporate bond networks," Annals of Operations Research, Springer, vol. 254(1), pages 277-302, July.
    18. Fransoo, Jan C. & Udenio, Maximiliano, 2021. "The bullwhip effect," Other publications TiSEM 382aec81-b3b0-4696-bf00-5, Tilburg University, School of Economics and Management.
    19. Jorge Mejia & Chris Parker, 2021. "When Transparency Fails: Bias and Financial Incentives in Ridesharing Platforms," Management Science, INFORMS, vol. 67(1), pages 166-184, January.

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