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Judgmental Forecasting: Cognitive Reflection and Decision Speed

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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. Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico, 2019. "Perceived wealth, cognitive sophistication and behavioral inattention," IMFS Working Paper Series 135, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
  3. 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.
  4. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
  5. Jesús F. Salgado & Inmaculada Otero & Silvia Moscoso, 2019. "Cognitive Reflection and General Mental Ability as Predictors of Job Performance," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
  6. Violetta Bacon-Gerasymenko & Russell Coff & Rodolphe Durand, 2016. "Taking a Second Look in a Warped Crystal Ball: Explaining the Accuracy of Revised Forecasts," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1292-1319, December.
  7. Suresh P. Sethi & Sushil Gupta & Vipin K. Agrawal & Vijay K. Agrawal, 2022. "Nobel laureates’ contributions to and impacts on operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4283-4303, December.
  8. Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Dominico, 2021. "The Leverage Self-Delusion: Perceived Wealth and Cognitive Sophistication," TSE Working Papers 19-1055, Toulouse School of Economics (TSE).
  9. 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.
  10. Theocharis, Zoe & Harvey, Nigel, 2019. "When does more mean worse? Accuracy of judgmental forecasting is nonlinearly related to length of data series," Omega, Elsevier, vol. 87(C), pages 10-19.
  11. Zuzana Brokesova & Cary Deck & Jana Peliova, 2022. "Pull-to-center is not just for newsvendors," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-16, February.
  12. Khosrowabadi, Naghmeh & Hoberg, Kai & Imdahl, Christina, 2022. "Evaluating human behaviour in response to AI recommendations for judgemental forecasting," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1151-1167.
  13. Duarte Gonc{c}alves, 2024. "Speed, Accuracy, and Complexity," Papers 2403.11240, arXiv.org, revised Jun 2024.
  14. Jordan Tong & Daniel Feiler, 2017. "A Behavioral Model of Forecasting: Naive Statistics on Mental Samples," Management Science, INFORMS, vol. 63(11), pages 3609-3627, November.
  15. Abolghasemi, Mahdi & Hurley, Jason & Eshragh, Ali & Fahimnia, Behnam, 2020. "Demand forecasting in the presence of systematic events: Cases in capturing sales promotions," International Journal of Production Economics, Elsevier, vol. 230(C).
  16. Tobias Stangl & Ulrich W. Thonemann, 2017. "Equivalent Inventory Metrics: A Behavioral Perspective," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 472-488, July.
  17. Zlatana Nenova & Jennifer Shang, 2022. "Personalized Chronic Disease Follow‐Up Appointments: Risk‐Stratified Care Through Big Data," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 583-606, February.
  18. 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.
  19. Jiang, Li & Hao, Zhongyuan, 2024. "Holding diverse market beliefs by firms: Information flow, profit performances, and channel structure," Omega, Elsevier, vol. 126(C).
  20. Belvedere, Valeria & Goodwin, Paul, 2017. "The influence of product involvement and emotion on short-term product demand forecasting," International Journal of Forecasting, Elsevier, vol. 33(3), pages 652-661.
  21. Lin, Junyi & Zhou, Li & Spiegler, Virginia L.M. & Naim, Mohamed M. & Syntetos, Aris, 2022. "Push or Pull? The impact of ordering policy choice on the dynamics of a hybrid closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 300(1), pages 282-295.
  22. 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.
  23. 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.
  24. Zlatana Nenova & Jennifer Shang, 2022. "Chronic Disease Progression Prediction: Leveraging Case‐Based Reasoning and Big Data Analytics," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 259-280, January.
  25. Christiane B. Haubitz & Cedric A. Lehmann & Andreas Fügener & Ulrich W. Thonemann, 2021. "The Risk of Algorithm Transparency: How Algorithm Complexity Drives the Effects on Use of Advice," ECONtribute Discussion Papers Series 078, University of Bonn and University of Cologne, Germany.
  26. Sheu, Jiuh-Biing, 2024. "Mass evacuation planning for disasters management: A household evacuation route choice behavior analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
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