Cited by 44

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Using judgment to select and adjust forecasts from statistical models

De Baets, Shari, Harvey, Nigel·2020·European Journal of Operational Research

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Crossref · 10.1016/j.ejor.2020.01.028

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Citations

Cites

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Research works printed but not linked: 50

  1. Balzer, 1989, The effects of cognitive feedback on performance, Psychological Bulletin, 106, 410, 10.1037/0033-2909.106.3.410 · DOI
  2. Bendoly, 2016, Fit, bias, and enacted sensemaking in data visualization: Frameworks for continuous development in operations and supply chain management analytics, Journal of Business Logistics, 37, 6, 10.1111/jbl.12113 · DOI
  3. Bendoly, 2010, Bodies of knowledge for research in behavioral operations, Production and Operations Management, 19, 434, 10.1111/j.1937-5956.2009.01108.x · DOI
  4. Björkman, 1972, Feedforward and feedback as determiners of knowledge and policy: Notes on a neglected issue, Scandinavian Journal of Psychology, 13, 152, 10.1111/j.1467-9450.1972.tb00063.x · DOI
  5. Bolger, 1993, Context-sensitive heuristics in statistical reasoning, Quarterly Journal of Experimental Psychology, Section A. Human Experimental Psychology, 46, 779, 10.1080/14640749308401039 · DOI
  6. Feng, B., & MacGeorge, E.L. (.2010). The influences of message and source factors on advice outcomes communication research, 37(4), 553–575. · DOI
  7. Fifić, 2014, Are two interviewers better than one, Journal of Business Research, 67, 1771, 10.1016/j.jbusres.2014.03.003 · DOI
  8. Fildes, 2007, Against your better judgment? How organizations can improve their use of management judgment in forecasting, Interfaces, 37, 570, 10.1287/inte.1070.0309 · DOI
  9. Fildes, 2009, Effective forecasting and judgmental adjustments: An empirical evaluation and strategies for improvement in supply-chain planning, International Journal of Forecasting, 25, 3, 10.1016/j.ijforecast.2008.11.010 · DOI
  10. Fildes, 2015, Improving forecast quality in practice, Foresight: The International Journal of Applied Forecasting, Winter, 5
  11. Fischer, 1999, Combining forecasts: What information do judges need to outperform the simple average?, International Journal of Forecasting, 15, 227, 10.1016/S0169-2070(98)00073-9 · DOI
  12. Gardner, 1995, The effect of different forms of advice on the control of a simulated complex system, Applied Cognitive Psychology, 9, S55, 10.1002/acp.2350090706 · DOI
  13. Gefen, 2003, Trust and TAM in online shopping: An integrated model, MIS Quarterly, 27, 51, 10.2307/30036519 · DOI · Paper page
  14. Goodwin, 1993, Improving judgmental time series forecasting: A review of the guidance provided by research, International Journal of Forecasting, 9, 147, 10.1016/0169-2070(93)90001-4 · DOI
  15. Grove, 2005, Clinical versus statistical prediction: The contribution of Paul E. Meehl, Journal of Clinical Psychology, 61, 1233, 10.1002/jclp.20179 · DOI
  16. Grove, 2000, Clinical versus mechanical prediction: A meta-analysis, Psychological Assessment, 12, 19, 10.1037/1040-3590.12.1.19 · DOI · Paper page
  17. Han, 2018, Brain imaging and forecasting: Insights from judgmental model selection, Omega, 87, 1
  18. Harries, 2000, Measuring doctors' self‐insight into their treatment decisions. applied cognitive psychology, The Official Journal of the Society for Applied Research in Memory and Cognition, 14, 455
  19. Harvey, 2019, Commentary: Algorithmic aversion and judgmental wisdom, Foresight: The International Journal of Applied Forecasting, 54, 13
  20. Harvey, 1996, Graphs versus tables: Effects of data presentation format on judgemental forecasting, International Journal of Forecasting, 12, 119, 10.1016/0169-2070(95)00634-6 · DOI
  21. Harvey, 1997, Taking advice: Accepting help, improving judgment, and sharing responsibility, Organizational Behavior & Human Decision Processes, 70, 117, 10.1006/obhd.1997.2697 · DOI
  22. Keeffe, 2005, Provider response to computer-based care suggestions for chronic heart failure, Medical Care, 43, 461, 10.1097/01.mlr.0000160378.53326.f3 · DOI
  23. Klayman, 1988, On the how and why (not) of learning from outcomes, Advances in psychology, 54, 115, 10.1016/S0166-4115(08)62172-X · DOI
  24. Lawrence, 1985, An examination of the accuracy of judgmental extrapolation of time series, International Journal of Forecasting, 1, 25, 10.1016/S0169-2070(85)80068-6 · DOI
  25. Lawrence, 2002, Influence of user participation on DSS use and decision accuracy, Omega: The International Journal of Management Science, 30, 381, 10.1016/S0305-0483(02)00048-8 · DOI
  26. Lawrence, 2006, Judgmental forecasting: A review of progress over the last 25years, International Journal of Forecasting, 22, 493, 10.1016/j.ijforecast.2006.03.007 · DOI
  27. Lawrence, 1989, Factors affecting judgmental forecasts and confidence intervals, Organizational Behavior & Human Decision Processes, 43, 172, 10.1016/0749-5978(89)90049-6 · DOI
  28. Leitner, 2011, Experiments on forecasting behavior with several sources of information: A review of the literature, European Journal of Operational Research, 213, 459, 10.1016/j.ejor.2011.01.006 · DOI
  29. Lim, 1995, Judgmental adjustment of initial forecasts: Its effectiveness and biases, Journal of Behavioral Decision Making, 8, 149, 10.1002/bdm.3960080302 · DOI
  30. Madhavan, 2007, Similarities and differences between human-human and human-automation trust: An integrative review, Theoretical Issues in Ergonomics Science, 8, 277, 10.1080/14639220500337708 · DOI · Paper page
  31. Makridakis, 2000, The M3-Competition: Results, conclusions and implications, International Journal of Forecasting, 16, 451, 10.1016/S0169-2070(00)00057-1 · DOI
  32. O'Connor, 1993, Judgemental forecasting in times of change, International Journal of Forecasting, 9, 163, 10.1016/0169-2070(93)90002-5 · DOI
  33. Önkal, 2009, The relative influence of advice from human experts and statistical methods on forecast adjustments, Journal of Behavioral Decision Making, 22, 390, 10.1002/bdm.637 · DOI
  34. Önkal, 2011, Influence of differentiated roles on group forecasting accuracy, International Journal of Forecasting, 27, 50, 10.1016/j.ijforecast.2010.03.001 · DOI
  35. Önkal, 1994, Evaluating probabilistic forecasts of stock prices in a developing stock market, European Journal of Operational Research, 74, 350, 10.1016/0377-2217(94)90102-3 · DOI
  36. Paravastu, 2014, Human trust in other humans, automation, robots, and cognitive agents: Neural correlates and design implications, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 58, 340, 10.1177/1541931214581070 · DOI
  37. Perera, 2019, The human factor in supply chain forecasting: A systematic review, European Journal of Operational Research, 274, 574, 10.1016/j.ejor.2018.10.028 · DOI
  38. Petropoulos, 2019, Judgmental model selection, Foresight: The International Journal of Applied Forecasting, 54, 4
  39. Petropoulos, 2018, Judgmental selection of forecasting models, Journal of Operations Management, 60, 34, 10.1016/j.jom.2018.05.005 · DOI
  40. Phillips, 1966, Conservatism in a simple probability inference task, Journal of Experimental Psychology: General, 72, 346, 10.1037/h0023653 · DOI
  41. Sanders, 1997, The impact of task properties feedback on time series judgmental forecasting tasks, Omega, International Journal of Management Science, 25, 135, 10.1016/S0305-0483(96)00057-6 · DOI
  42. Soll, 2009, Strategies for revising judgment: How (and how well) people use others’ opinions, Journal of Experimental Psychology: Learning, Memory, and Cognition, 35, 780
  43. Stanislaw, 1999, Calculation of signal detection theory measures, Behavioral Research Methods, Instruments and Computers, 31, 137, 10.3758/BF03207704 · DOI · Paper page
  44. Theocharis, 2019, The influence of graphical format on judgmental forecasting accuracy: Lines versus points, Futures & Foresight Science, 1, e7, 10.1002/ffo2.7 · DOI
  45. Weinstein, 1996, Unrealistic optimism: Present and future, Journal of Social and Clinical Psychology, 15, 1, 10.1521/jscp.1996.15.1.1 · DOI
  46. Weller, 2012, Supply chain forecasting: Best practices & benchmarking study, Lancaster Centre for Forecasting Technical report
  47. White, 2006, The meta-analysis of clinical judgment project: Fifty-six years of accumulated research on clinical versus statistical prediction, The Counseling Psychologist, 34, 341, 10.1177/0011000005285875 · DOI · Paper page
  48. Willemain, 1989, Graphical adjustment of statistical forecasts, International Journal of Forecasting, 5, 179, 10.1016/0169-2070(89)90085-X · DOI
  49. Yaniv, 2004, The benefit of additional opinions, Current Directions in Psychological Science, 13, 75, 10.1111/j.0963-7214.2004.00278.x · DOI
  50. Yates, 1991, Probabilistic forecasts of stock prices and earnings: The hazards of nascent expertise, Organizational Behavior & Human Decision Processes, 40, 60, 10.1016/0749-5978(91)90042-R · DOI

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Metadata

Authors
De Baets, S., & Harvey, N.
Venue
European Journal of Operational Research
Publisher
Elsevier BV
Published
2020-08
Volume
284
Issue
3
Pages
882-895
ISSN
0377-2217
Cited by
44
References
10
Language
en
Funders
Fonds Wetenschappelijk Onderzoek

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CoChat. (2026). Citation check: Using judgment to select and adjust forecasts from statistical models. https://app.cochat.ai/papers/10.1016/j.ejor.2020.01.028
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De Baets, S., & Harvey, N. (2020). Using judgment to select and adjust forecasts from statistical models. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2020.01.028