A Quantitative Analysis on E-Books Sampling Optimization
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...
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| Lenguaje: | English |
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Universidad de Talca
2017
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oai:scielo:S0718-187620170001000062018-10-12A Quantitative Analysis on E-Books Sampling OptimizationChen,Li E-book Sampling Information goods Optimization Dynamic programming 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.info:eu-repo/semantics/openAccessUniversidad de TalcaJournal of theoretical and applied electronic commerce research v.12 n.1 20172017-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762017000100006en10.4067/S0718-18762017000100006 |
| institution |
Scielo Chile |
| collection |
Scielo Chile |
| language |
English |
| topic |
E-book Sampling Information goods Optimization Dynamic programming |
| spellingShingle |
E-book Sampling Information goods Optimization Dynamic programming Chen,Li A Quantitative Analysis on E-Books Sampling Optimization |
| 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. |
| author |
Chen,Li |
| author_facet |
Chen,Li |
| author_sort |
Chen,Li |
| title |
A Quantitative Analysis on E-Books Sampling Optimization |
| title_short |
A Quantitative Analysis on E-Books Sampling Optimization |
| title_full |
A Quantitative Analysis on E-Books Sampling Optimization |
| title_fullStr |
A Quantitative Analysis on E-Books Sampling Optimization |
| title_full_unstemmed |
A Quantitative Analysis on E-Books Sampling Optimization |
| title_sort |
quantitative analysis on e-books sampling optimization |
| publisher |
Universidad de Talca |
| publishDate |
2017 |
| url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762017000100006 |
| work_keys_str_mv |
AT chenli aquantitativeanalysisonebookssamplingoptimization AT chenli quantitativeanalysisonebookssamplingoptimization |
| _version_ |
1714202225297850368 |