Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Warehouse Operations

Published Online:https://doi.org/10.1287/mnsc.2021.3990

References

  • Acimovic J, Drake D, Parker C, Balasubramanian K (2020) Show or tell? Improving agent decision making in a Tanzanian mobile money field experiment. Manufacturing Service Oper. Management.Google Scholar
  • Batt RJ, Gallino S (2019) Finding a needle in a haystack: The effects of searching and learning on pick-worker performance. Management Sci. 65(6):2624–2645.LinkGoogle Scholar
  • Bendoly E, Donohue K, Schultz KL (2006) Behavior in operations management: Assessing recent findings and revisiting old assumptions. J. Oper. Management 24(6):737–752.CrossrefGoogle Scholar
  • Bendoly E, Swink M, Simpson WP (2014) Prioritizing and monitoring concurrent project work: Effects on switching behavior. Production Oper. Management 23(5):847–860.CrossrefGoogle Scholar
  • Bostian AJA, Holt CA, Jain S, Ramdas K (2012) Is transshipment a behaviorally-robust risk-pooling strategy? Working paper, London Business School, London, UK.Google Scholar
  • Boudreau J, Hopp W, McClain JO, Thomas LJ (2003) On the interface between operations and human resources management. Manufacturing Service Oper. Management 5(3):179–202.LinkGoogle Scholar
  • Buell RW, Kim T, Tsay C-J (2016) Creating reciprocal value through operational transparency. Management Sci. 63(6):1673–1695.LinkGoogle Scholar
  • Chen CS, Lee S-M, Shen QS (1995) An analytical model for the container loading problem. Eur. J. Oper. Res. 80(1):68–76.CrossrefGoogle Scholar
  • Chen X, Li Z, Ming L, Zhu W (2021) The incentive game under target effects in ridesharing: A structural econometric analysis. Manufacturing Service Oper. Management Forthcoming.Google Scholar
  • Craig N, DeHoratius N, Raman A (2016) The impact of supplier inventory service level on retailer demand. Manufacturing Service Oper. Management 18(4):461–474.LinkGoogle Scholar
  • Cui R, Allon G, Bassamboo A, Van Mieghem JA (2015) Information sharing in supply chains: An empirical and theoretical valuation. Management Sci. 61(11):2803–2824.LinkGoogle Scholar
  • Davis AM, Katok E, Santamaría N (2014) Push, pull, or both? A behavioral study of how the allocation of inventory risk affects channel efficiency. Management Sci. 60(11):2666–2683.LinkGoogle Scholar
  • Dietvorst BJ, Simmons JP, Massey C (2015) Algorithm aversion: People erroneously avoid algorithms after seeing them err. J. Experiment. Psych. General 144(1):114–126.CrossrefGoogle Scholar
  • Dietvorst BJ, Simmons JP, Massey C (2018) Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them. Management Sci. 64(3):1155–1170.LinkGoogle Scholar
  • Fawcett T (2006) An introduction to ROC analysis. Pattern Recognition Lett. 27(8):861–874.CrossrefGoogle Scholar
  • Gino F, Pisano G (2008) Toward a theory of behavioral operations. Manufacturing Service Oper. Management 10(4):676–691.LinkGoogle Scholar
  • Hodgson TJ (1982) A combined approach to the pallet loading problem. IIE Trans. 14(3):175–182.CrossrefGoogle Scholar
  • Ibanez MR, Clark JR, Huckman RS, Staats BR (2018) Discretionary task ordering: Queue management in radiological services. Management Sci. 64(9):4389–4407.LinkGoogle Scholar
  • Johnsen LC, Voigt G, Corbett CJ (2019) Behavioral contract design under asymmetric forecast information. Decision Sci. 50(4):786–815.CrossrefGoogle Scholar
  • Juran J, Godfrey AB (1999) Quality Handbook (McGraw-Hill).Google Scholar
  • Kim S-H, Chan CW, Olivares M, Escobar G (2015) ICU admission control: An empirical study of capacity allocation and its implication on patient outcomes. Management Sci. 61(1):19–38.LinkGoogle Scholar
  • Kremer M, Moritz B, Siemsen E (2011) Demand forecasting behavior: System neglect and change detection. Management Sci. 57(10):1827–1843.LinkGoogle Scholar
  • Liu S, He L, Shen Z-JM (2021) On-time last-mile delivery: Order assignment with travel-time predictors. Management Sci. 67(7):4095–4119.Google Scholar
  • Martello S, Pisinger D, Vigo D (2000) The three-dimensional bin packing problem. Oper. Res. 48(2):256–267.LinkGoogle Scholar
  • Moritz BB, Narayanan A, Parker C (2021) Unraveling behavioral ordering: Relative costs and the bullwhip effect. Working paper, Pennsylvania State University, Pennsylvania.Google Scholar
  • Rossit DG, Vigo D, Tohmé F, Frutos M (2019) Visual attractiveness in routing problems: A review. Comput. Oper. Res. 103:13–34.CrossrefGoogle Scholar
  • Schweitzer ME, Cachon GP (2000) Decision bias in the newsvendor problem with a known demand distribution: Experimental evidence. Management Sci. 46(3):404–420.LinkGoogle Scholar
  • Song H, Tucker AL, Murrell KL, Vinson DR (2017) Closing the productivity gap: Improving worker productivity through public relative performance feedback and validation of best practices. Management Sci. 64(6):2628–2649.LinkGoogle Scholar
  • Staats BR, Dai H, Hofmann DA, Milkman KL (2017) Motivating process compliance through individual electronic monitoring: An empirical examination of hand hygiene in healthcare. Management Sci. 63(5):1563–1585.LinkGoogle Scholar
  • Tan TF, Netessine S (2014) When does the devil make work? An empirical study of the impact of workload on worker productivity. Management Sci. 60(6):1574–1593.LinkGoogle Scholar
  • Taylor GS, Chan Y, Rasool G (2017) A three-dimensional bin-packing model: Exact multicriteria solution and computational complexity. Ann. Oper. Res. 251(1-2):397–427.CrossrefGoogle Scholar
  • van Donselaar KH, Gaur V, van Woensel T, Broekmeulen RACM, Fransoo JC (2010) Ordering behavior in retail stores and implications for automated replenishment. Management Sci. 56(5):766–784.LinkGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.