2011
DOI: 10.1287/mnsc.1110.1382
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Demand Forecasting Behavior: System Neglect and Change Detection

Abstract: W e analyze how individuals make forecasts based on time-series data. Using a controlled laboratory experiment, we find that forecasting behavior systematically deviates from normative predictions: Forecasters overreact to forecast errors in relatively stable environments, but underreact to errors in relatively unstable environments. The performance loss that is due to such systematic judgment biases is larger in stable than in unstable environments.

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Cited by 116 publications
(81 citation statements)
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References 61 publications
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“…4 There is more evidence that newsvendor behavior is driven by cognitive limitations. A study by Kremer et al (2011) suggests that judgmental time-series forecasting place too much emphasis to signals they receive relative to the system that generates the signals. Bolton et al (2012) show that if newsvendors are told the optimal solution, they are much closer to the optimum.…”
Section: Resultsmentioning
confidence: 99%
“…4 There is more evidence that newsvendor behavior is driven by cognitive limitations. A study by Kremer et al (2011) suggests that judgmental time-series forecasting place too much emphasis to signals they receive relative to the system that generates the signals. Bolton et al (2012) show that if newsvendors are told the optimal solution, they are much closer to the optimum.…”
Section: Resultsmentioning
confidence: 99%
“…Both Bendoly, Donohue and Schultz (2006) and Gino and Pisano (2008) provide reviews of this literature. Biased decision making -decisions that deviate from the rational choice have been shown in numerous operational domains such as forecasting (Kremer, Moritz and Siemsen 2011), contracting (Davis, Katok and Santamaría 2014) and inventory management (Schweitzer and Cachon 2000). Perhaps most related to our work is research by Amar et al (2011) that shows individuals may pay back smaller, lower interest debts, rather than portions of larger, higher interest debts, in order to close out or 'complete' the smaller debts.…”
Section: Literature Reviewmentioning
confidence: 97%
“…Chen and Mersereau (2015) provide a review and history of this literature, including both Bayesian and nonparametric approaches. Nevertheless, in practice, the forecasting task frequently requires managerial judgment (see Fildes and Goodwin 2007, Kremer et al 2011, Schweitzer and Cachon 2000. While not uniformly better, managers generally provide positive value, for example, they have information which the system does not (Fildes et al 2009).…”
Section: Remedying the Censorship Biasmentioning
confidence: 99%
“…Nevertheless, in practice, the forecasting task frequently requires managerial judgment (see Fildes and Goodwin , Kremer et al. , Schweitzer and Cachon ). While not uniformly better, managers generally provide positive value, for example, they have information which the system does not (Fildes et al.…”
Section: Introductionmentioning
confidence: 99%