2019
DOI: 10.1016/j.ejor.2019.02.023
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The overconfident and optimistic price-setting newsvendor

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Cited by 48 publications
(30 citation statements)
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“…Recently, the price-setting newsvendor problem with multiple criteria was considered in [36][37][38][39][40][41][42][43][44]. The price-setting newsvendor problem with the mean-variance analysis used in the objective function was carried out in [36,37].…”
Section: Price-setting Newsvendor Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, the price-setting newsvendor problem with multiple criteria was considered in [36][37][38][39][40][41][42][43][44]. The price-setting newsvendor problem with the mean-variance analysis used in the objective function was carried out in [36,37].…”
Section: Price-setting Newsvendor Problemmentioning
confidence: 99%
“…Yu et al [41] explored the price-setting newsvendor model, which involves a manufacturer with random yield and a retailer with uncertain demand using stochastic comparisons. Kirshner and Shao [42] studied optimism and overconfidence of a newsvendor modelled as weights on demand and profit. They used the prospect theory to show that optimism increases inventory.…”
Section: Price-setting Newsvendor Problemmentioning
confidence: 99%
“…First, the results contribute to the efforts of estimating the underlying parameters associated with the newsvendor model (e.g., Gaynor and Anderson (1995), Fisher and Raman (1996), Olivares et al (2008)) by providing robust predictions that can serve as additional moments in estimation. The results also contribute to the literatures exploring how either (i) partial information of the demand distribution (Andersson et al (2013), O'Neil et al (2016, Natarajan et al (2017), Ninh et al (2019)), or (ii) alternative risk preferences/behavioral biases of the newsvendor (Eeckhoudt et al (1995), Herweg (2013), Kirshner and Shao (2019)) affect the traditional analysis. The results presented here indicate that ranking uncertainty using the dispersive order is likely to complement the efforts of generating robust predictions in other information/behavioral settings.…”
Section: Introductionmentioning
confidence: 68%
“…Ekin et al [23] developed a computationally efficient simulation method for discrete stochastic optimisation problems for the endogenous uncertainty supplier problem. Kirshner and Shao [24] combined prospect theory to develop a model of supplier ordering decisions that consider overconfidence and optimism. e results showed that greater optimism, overconfidence, and regret typically lead to lower profitability and increased inventory.…”
Section: Literature Reviewsmentioning
confidence: 99%