2012
DOI: 10.1287/msom.1120.0376
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Markdown Pricing with Unknown Fraction of Strategic Customers

Abstract: A growing segment of the revenue management and pricing literature assumes "strategic" customers who are forward-looking in their pursuit of utility. Recognizing that such behavior may not be directly observable by a seller, we examine the implications of seller uncertainty over strategic customer behavior in a markdown pricing setting. We assume that some proportion of customers purchase impulsively in the first period if the price is below their willingness to pay, while other customers strategically wait fo… Show more

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Cited by 100 publications
(56 citation statements)
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References 45 publications
(54 reference statements)
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“…pricing (e.g., Aviv and Pazgal 2008, Cachon and Feldman 2013, Mersereau and Zhang 2012, Su 2007. Apart from pricing, the effects of strategic consumer behavior also extend to a range of other operational decisions; examples include decisions pertaining to stocking quantities (Liu and van Ryzin 2008), inventory display formats (Yin et al 2009), the implementation of quick-response and fast-fashion practices Swinney 2009, 2011), the timing of new product launches (Besbes and Lobel 2013), and the employment of advance selling (YU et al 2013a), to name but a few.…”
Section: Introductionmentioning
confidence: 99%
“…pricing (e.g., Aviv and Pazgal 2008, Cachon and Feldman 2013, Mersereau and Zhang 2012, Su 2007. Apart from pricing, the effects of strategic consumer behavior also extend to a range of other operational decisions; examples include decisions pertaining to stocking quantities (Liu and van Ryzin 2008), inventory display formats (Yin et al 2009), the implementation of quick-response and fast-fashion practices Swinney 2009, 2011), the timing of new product launches (Besbes and Lobel 2013), and the employment of advance selling (YU et al 2013a), to name but a few.…”
Section: Introductionmentioning
confidence: 99%
“…This paper also adds to the growing literature on strategic customer behavior in retail management. This literature mostly focuses on dynamic pricing strategies when consumers strategically wait for potential price discounts in the future (Su, 2007;Aviv and Pazgal, 2008); more recent work has incorporated competition (Levin et al, 2009), binding reservations Osadchiy and Vulcano (2010), opaque selling (Jerath et al, 2010), demand learning (Mersereau and Zhang, 2012), social learning (Papanastasiou and Savva, 2014), and cyclic pricing (Besbes and Lobel, 2015). Another stream of literature focuses on the impact of different operational strategies when consumers strategically wait for discounts: e.g., capacity rationing (Liu and van Ryzin, 2008), supply chain contracting (Su and Zhang, 2008), quick response (Cachon and Swinney, 2009;Swinney, 2011), and product launches (Liang et al, 2014;Lobel et al, 2014).…”
Section: Literature Reviewmentioning
confidence: 99%
“…In the existing literature, most MMP related studies focus on the optimal markdown strategy with a dynamic pricing scheme during the selling season, in which the markdown pricing depends on the inventory level and market demand forecasting (e.g., [13][14][15]). However, it is important to study MMP from the supply chain perspective.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The strategy of markdown pricing from the retailer perspective has attracted considerable attention in the supply chain management literature in recent years (e.g., [13][14][15][16]). Although MMP is popularly examined in the theoretical supply chain analysis, its adoption and implication in specific industrial context are under-studied.…”
Section: Introductionmentioning
confidence: 99%