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dc.creatorChen,Li
dc.date2017-01-01
dc.date.accessioned2019-04-25T12:42:01Z
dc.date.available2019-04-25T12:42:01Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-18762017000100006
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/61282
dc.descriptionE-book sales have seen a slow growth in recent years. A major issue is how to attract consumers and promote sales. Motivated by the marketing strategy of free sampling, retailers start to offer free partial sampling of e-books. We propose a quantitative model for retailers to optimize the selection of e-books for sampling in their promotion campaign with a limited budget. Simulation-based numerical analysis shows that our model increases retailers’ profit by around 8% when the free partial sampling strategy can double the e-book demand. We also develop a dynamic programming model to help retailers better utilize a budget in relatively long period of time. An experiment analysis reflects an improvement of retailer’s profit of around 7%. Our model can be extended to other information goods such as digital music, video, and newspaper.
dc.formattext/html
dc.languageen
dc.publisherUniversidad de Talca
dc.relation10.4067/S0718-18762017000100006
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceJournal of theoretical and applied electronic commerce research v.12 n.1 2017
dc.subjectE-book
dc.subjectSampling
dc.subjectInformation goods
dc.subjectOptimization
dc.subjectDynamic programming
dc.titleA Quantitative Analysis on E-Books Sampling Optimization


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