They all seem good, but which one fits me? Reducing fit uncertainty for digital entertainment goods
Pacific Telecommunications Council Annual Conference 2017, January 15-18, Hawaii: Proceedings, Page: 1-18
2017
- 151Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage151
- Abstract Views89
- Downloads62
Conference Paper Description
Faster Internet connections and advanced streaming technologies have boosted the consumption of digital entertainment content. Nonetheless, many content providers are still struggling to differentiate their services and sell their offerings in the market, due to the large number of options available and customers’ uncertainty about the specific attributes of individual information goods. The providers employ different strategies to communicate information on the quality and fit of their products. In this research, I examine the effectiveness of sampling-based seller strategy on the marketing of digital entertainment goods. Using a large dataset on series drama on-demand, I show that content sampling plays a critical role in reducing consumers’ uncertainty concerning fit, thus stimulates more demand.
Bibliographic Details
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