The thesis examines impact of online user reviews, expressed in 5-star rating system, on demand for PC and video games. Used weekly data are collected from www.amazon.co.uk for period 2000 - 2012. The thesis contributes to discussion which takes place between supporters of superstar theory and supporters of long tail theory. Panel structure of the dataset referred to application of fixed effects model for estimation of basic and extended model. Both estimates proved negative influence of assigned number of stars on sales rank. Basic model estimated influence of one unit change of stars on rank by 9 positions, extended model estimated this change to be 10 positions. Quantile estimate also proved negative influence of stars on sales rank. The influence is strongest for the lowest quantile of dependent variable (tau = 0,05) representing 5 % best-selling titles, where one unit change of stars causes change of 35 positions in opposite direction. With increasing quantiles this influence decreases to zero. It proves that within the market for PC and video games online user reviews contribute to superstar effect.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:150234 |
| Date | January 2012 |
| Creators | Veselá, Anna |
| Contributors | Mičúch, Marek, Hurník, Jaromír |
| Publisher | Vysoká škola ekonomická v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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