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Effective goal framing for managers using inventory management systems

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  • Kosgoda, Dilina
  • Perera, H. Niles
  • Aloysius, John

Abstract

While automated inventory management systems are prevalent, managers are known to use judgmental adjustment when they have access to system recommendations. However, these adjustments might be subject to human decision biases in the form of framing effects contingent on managers’ profit maximizing or cost minimizing goals. We conduct the first investigation of goal framing effects that influence the judgmental adjustment of system recommended order quantities. Our laboratory experiment uses a 4 (Goal framing: Positive, Negative, Neutral, Control) × 1 design that manipulates the goal frame. Except for the control group, decision makers in other treatments had access to a system recommendation. The participants in all treatments were asked to determine the optimum order quantity in a high margin newsvendor task. We find that the decision makers’ trust in the system recommendation determines the extent to which they make adjustments to the system recommendation. Most importantly our results reveal a significant goal framing effect: participants in the positive/negative frame condition ordered less/more than the system recommendation. This implies when organizations communicate goals and set targets for their decision makers, those goals should align with a cost minimization strategy to improve performance.

Suggested Citation

  • Kosgoda, Dilina & Perera, H. Niles & Aloysius, John, 2024. "Effective goal framing for managers using inventory management systems," European Journal of Operational Research, Elsevier, vol. 316(1), pages 138-151.
  • Handle: RePEc:eee:ejores:v:316:y:2024:i:1:p:138-151
    DOI: 10.1016/j.ejor.2024.01.034
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    1. Cedric A. Lehmann & Christiane B. Haubitz & Andreas Fügener & Ulrich W. Thonemann, 2022. "The risk of algorithm transparency: How algorithm complexity drives the effects on the use of advice," Production and Operations Management, Production and Operations Management Society, vol. 31(9), pages 3419-3434, September.
    2. Surti, Chirag & Celani, Anthony & Gajpal, Yuvraj, 2020. "The newsvendor problem: The role of prospect theory and feedback," European Journal of Operational Research, Elsevier, vol. 287(1), pages 251-261.
    3. Smith, Vernon L, 1982. "Microeconomic Systems as an Experimental Science," American Economic Review, American Economic Association, vol. 72(5), pages 923-955, December.
    4. Rekik, Y. & Glock, C. H. & Syntetos, A., 2017. "Enriching demand forecasts with managerial information to improve inventory replenishment decisions: Exploiting judgment and fostering learning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 85375, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. 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.
    6. Yingshuai Zhao & Xiaobo Zhao, 2016. "How a competing environment influences newsvendor ordering decisions," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 204-214, January.
    7. Gary E. Bolton & Axel Ockenfels & Ulrich W. Thonemann, 2012. "Managers and Students as Newsvendors," Management Science, INFORMS, vol. 58(12), pages 2225-2233, December.
    8. Kenneth L. Schultz & Lawrence W. Robinson & L. Joseph Thomas & Johnathon Schultz & John O. McClain, 2018. "The Use of Framing in Inventory Decisions," Production and Operations Management, Production and Operations Management Society, vol. 27(1), pages 49-57, January.
    9. Michael Becker‐Peth & Kai Hoberg & Margarita Protopappa‐Sieke, 2020. "Multiperiod Inventory Management with Budget Cycles: Rational and Behavioral Decision‐Making," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 643-663, March.
    10. 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.
    11. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    12. Travis Tokar & John Aloysius & Matthew Waller & Doyle L. Hawkins, 2016. "Exploring Framing Effects in Inventory Control Decisions: Violations of Procedure Invariance," Production and Operations Management, Production and Operations Management Society, vol. 25(2), pages 306-329, February.
    13. Käki, Anssi & Kemppainen, Katariina & Liesiö, Juuso, 2019. "What to do when decision-makers deviate from model recommendations? Empirical evidence from hydropower industry," European Journal of Operational Research, Elsevier, vol. 278(3), pages 869-882.
    14. 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.
    15. Petropoulos, Fotios & Wang, Xun & Disney, Stephen M., 2019. "The inventory performance of forecasting methods: Evidence from the M3 competition data," International Journal of Forecasting, Elsevier, vol. 35(1), pages 251-265.
    16. Levin, Irwin P. & Gaeth, Gary J. & Schreiber, Judy & Lauriola, Marco, 2002. "A New Look at Framing Effects: Distribution of Effect Sizes, Individual Differences, and Independence of Types of Effects," Organizational Behavior and Human Decision Processes, Elsevier, vol. 88(1), pages 411-429, May.
    17. Yingshuai Zhao & Xiaobo Zhao & Zuo-Jun Max Shen, 2016. "On learning process of a newsvendor with censored demand information," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(9), pages 1200-1211, September.
    18. Hämäläinen, Raimo P. & Luoma, Jukka & Saarinen, Esa, 2013. "On the importance of behavioral operational research: The case of understanding and communicating about dynamic systems," European Journal of Operational Research, Elsevier, vol. 228(3), pages 623-634.
    19. Syntetos, Aris A. & Kholidasari, Inna & Naim, Mohamed M., 2016. "The effects of integrating management judgement into OUT levels: In or out of context?," European Journal of Operational Research, Elsevier, vol. 249(3), pages 853-863.
    20. Fildes, Robert & Goodwin, Paul & Önkal, Dilek, 2019. "Use and misuse of information in supply chain forecasting of promotion effects," International Journal of Forecasting, Elsevier, vol. 35(1), pages 144-156.
    21. 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.
    22. Vipin, B. & Amit, R.K., 2017. "Loss aversion and rationality in the newsvendor problem under recourse option," European Journal of Operational Research, Elsevier, vol. 261(2), pages 563-571.
    23. Rachel Croson & Karen Donohue, 2006. "Behavioral Causes of the Bullwhip Effect and the Observed Value of Inventory Information," Management Science, INFORMS, vol. 52(3), pages 323-336, March.
    24. Levin, Irwin P. & Schneider, Sandra L. & Gaeth, Gary J., 1998. "All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects," Organizational Behavior and Human Decision Processes, Elsevier, vol. 76(2), pages 149-188, November.
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