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dc.contributor.advisorLoginova, Oksanaeng
dc.contributor.advisorWang, Xingheeng
dc.contributor.authorZeng, Chenhangeng
dc.date.issued2012eng
dc.date.submitted2012 Springeng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on August 30, 2012).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionDissertation advisors: Dr. Oksana Loginova and Dr. Xinghe Wangeng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionVita.eng
dc.descriptionPh. D. University of Missouri--Columbia 2012.eng
dc.description"May 2012"eng
dc.description.abstractThis dissertation comprises three essays on the same topic: advance selling of new to-be-released products. The first essay studies the retailer's optimal strategy in a model where the demand uncertainty comes from both the market size and the distribution of consumers' valuations. I find that there are three types of advance selling strategies: advance selling at a deep discount, advance selling at a moderate discount and no advance selling. I also characterize the conditions under which the retailer adopts advance selling and perform comparative statics analysis. The second essay studies the retailer's optimal advance selling strategy in a model with the presence of experienced consumers. We divide consumers into two groups, experienced and inexperienced. Pre-orders from experienced consumers lead to a more precise forecast of future demand by the firm. We show that the firm will always adopt advance selling and that the optimal pre-order price may or may not be at a discount to the regular selling price. The third essay investigates advance selling at a price premium. I show that advance selling at a price premium always yields more profit for the retailer compared with advance selling at the regular selling price. In addition, I analyze conditions under which the retailer is more likely to implement advance selling at a price premium instead of a price discount. Sensitivity analysis is also presented to show how the retailer's optimal advance selling price premium and optimal total profit are affected by some important parameters in the model.eng
dc.description.bibrefIncludes bibliographical referenceseng
dc.format.extentix, 131 pageseng
dc.identifier.oclc872568869eng
dc.identifier.urihttps://doi.org/10.32469/10355/15128eng
dc.identifier.urihttps://hdl.handle.net/10355/15128
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertations.eng
dc.rightsOpenAccesseng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subjectnewsvendor problemeng
dc.subjectdemand uncertaintyeng
dc.subjectprice premiumeng
dc.subjectadvance sellingeng
dc.titleEssays on advance selling of new to-be-released productseng
dc.typeThesiseng
thesis.degree.disciplineEconomics (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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