| dc.creator | Chen,Li | |
| dc.date | 2017-01-01 | |
| dc.date.accessioned | 2019-04-25T12:42:01Z | |
| dc.date.available | 2019-04-25T12:42:01Z | |
| dc.identifier | https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-18762017000100006 | |
| dc.identifier.uri | http://revistaschilenas.uchile.cl/handle/2250/61282 | |
| dc.description | E-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.format | text/html | |
| dc.language | en | |
| dc.publisher | Universidad de Talca | |
| dc.relation | 10.4067/S0718-18762017000100006 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Journal of theoretical and applied electronic commerce research v.12 n.1 2017 | |
| dc.subject | E-book | |
| dc.subject | Sampling | |
| dc.subject | Information goods | |
| dc.subject | Optimization | |
| dc.subject | Dynamic programming | |
| dc.title | A Quantitative Analysis on E-Books Sampling Optimization | |
