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Using Laboratory Experiments to Build Better Operations Management Models

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  • Katok, Elena

Abstract

Laboratory experiments give researchers a great deal of control, making them useful for testing analytical models. In this monograph I discuss methodological issues in designing and conducting laboratory experiments. I also summarize some of the recent advances in using laboratory experiments in Operations Management.

Suggested Citation

  • 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.
    • Handle: RePEc:now:fnttom:0200000022
    DOI: 10.1561/0200000022
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    Citations

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    Cited by:

    1. Mahesh Nagarajan & Steven Shechter, 2014. "Prospect Theory and the Newsvendor Problem," Management Science, INFORMS, vol. 60(4), pages 1057-1062, April.
    2. Pan, Jinrui & Shachat, Jason & Wei, Sijia, 2018. "Cognitive stress and learning Economic Order Quantity (EOQ) inventory management: An experimental investigation," MPRA Paper 93214, University Library of Munich, Germany.
    3. Elahi, Ehsan & Lamba, Narasimha & Ramaswamy, Chinthana, 2013. "How can we improve the performance of supply chain contracts? An experimental study," International Journal of Production Economics, Elsevier, vol. 142(1), pages 146-157.
    4. 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.
    5. Anna G. Devlin & Wedad Elmaghraby & Rebecca W. Hamilton, 2018. "Why do suppliers choose wholesale price contracts? End-of-season payments disincentivize retailer marketing effort," Journal of the Academy of Marketing Science, Springer, vol. 46(2), pages 212-233, March.
    6. Du, Shaofu & Nie, Tengfei & Chu, Chengbin & Yu, Yugang, 2014. "Reciprocal supply chain with intention," European Journal of Operational Research, Elsevier, vol. 239(2), pages 389-402.
    7. Tim Kraft & León Valdés & Yanchong Zheng, 2018. "Supply Chain Visibility and Social Responsibility: Investigating Consumers’ Behaviors and Motives," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 617-636, October.
    8. Meng Li & Nicholas C. Petruzzi & Jun Zhang, 2017. "Overconfident Competing Newsvendors," Management Science, INFORMS, vol. 63(8), pages 2637-2646, August.
    9. Wöhlert, Lydia, 2021. "Fairness bei der Performancebewertung in Supply Chains: Eine mehrstufige Literaturanalyse zum State of the Art," Ilmenauer Schriften zur Betriebswirtschaftslehre, Technische Universität Ilmenau, Institut für Betriebswirtschaftslehre, volume 1, number 12021.
    10. Xiaoshuai Fan & Qingye Wu & Ying‐Ju Chen & Christopher S. Tang, 2023. "The implications of pay transparency in the presence of over‐ and underconfident agents," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2304-2321, July.
    11. Matthew J. Walker & Elena Katok & Jason Shachat, 2023. "Trust and Trustworthiness in Procurement Contracts with Retainage," Management Science, INFORMS, vol. 69(6), pages 3492-3515, June.
    12. Zhan, Yuanzhu & Chung, Leanne & Lim, Ming K. & Ye, Fei & Kumar, Ajay & Tan, Kim Hua, 2021. "The impact of sustainability on supplier selection: A behavioural study," International Journal of Production Economics, Elsevier, vol. 236(C).
    13. Hewage, Harsha Chamara & Perera, H. Niles & De Baets, Shari, 2022. "Forecast adjustments during post-promotional periods," European Journal of Operational Research, Elsevier, vol. 300(2), pages 461-472.
    14. 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.
    15. Lisa M. Scheele & Ulrich W. Thonemann & Marco Slikker, 2018. "Designing Incentive Systems for Truthful Forecast Information Sharing Within a Firm," Management Science, INFORMS, vol. 64(8), pages 3690-3713, August.
    16. 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.
    17. Goudarzi, Fatemeh (Sahar) & Olaru, Doina & Bergey, Paul, 2023. "Beyond risk attitude: Unpacking behavioral drivers of supply chain contracts," International Journal of Production Economics, Elsevier, vol. 255(C).
    18. Mai, Feng & Fry, Michael J. & Raturi, Amitabh S., 2016. "Supply-chain performance anomalies: Fairness concerns under private cost informationAuthor-Name: Qin, Fei," European Journal of Operational Research, Elsevier, vol. 252(1), pages 170-182.
    19. Saurabh Bansal & Suresh Muthulingam, 2022. "Can precise numbers boost energy efficiency?," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3264-3287, August.
    20. Jialu Li & Meng Li & Xuan Zhao, 2021. "Transshipment Between Overconfident Newsvendors," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 2803-2813, September.
    21. Villa, Sebastián, 2022. "Competing for supply and demand: Understanding retailers' ordering decisions," International Journal of Production Economics, Elsevier, vol. 244(C).

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