Content libraries – Digicreation https://digi.chumbo.pt Studying the impact of digitisation in creative industries Fri, 07 Oct 2022 12:39:04 +0000 en-US hourly 1 Analysis of sequential distribution on Video-on-Demand platforms https://digi.chumbo.pt/analysis-of-sequential-distribution-on-video-on-demand-platforms/ Fri, 07 Oct 2022 12:39:04 +0000 https://digi.chumbo.pt/?p=2204 The effect of Netflix on Movie Piracy and its impact on the movie industry https://digi.chumbo.pt/the-effect-of-netflix-on-movie-piracy-and-its-impact-on-the-movie-industry/ https://digi.chumbo.pt/the-effect-of-netflix-on-movie-piracy-and-its-impact-on-the-movie-industry/#respond Fri, 07 Oct 2022 12:37:24 +0000 https://digi.chumbo.pt/?p=2201 https://digi.chumbo.pt/the-effect-of-netflix-on-movie-piracy-and-its-impact-on-the-movie-industry/feed/ 0 Releases as Adverts: Product Discovery in Video-games https://digi.chumbo.pt/releases-as-adverts-product-discovery-in-video-games/ Fri, 07 Oct 2022 12:35:25 +0000 https://digi.chumbo.pt/?p=2197 The Effect of Binge-Watching on the Subscription of Video on Demand: Results from Randomized Experiments https://digi.chumbo.pt/the-effect-of-binge-watching-on-the-subscription-of-video-on-demand-results-from-randomized-experiments/ https://digi.chumbo.pt/the-effect-of-binge-watching-on-the-subscription-of-video-on-demand-results-from-randomized-experiments/#respond Fri, 05 Jun 2020 10:01:52 +0000 https://digi.chumbo.pt/?p=2082 We analyze the outcomes of two randomized field experiments to study the effect of binge-watching on the subscription of Video-on-Demand (SVoD). In both cases, we off ered access to SVoD to a random set of households for several weeks and used another random set of households as a control group. In both cases, we and that the households that binge watch TV shows are less likely to pay for SVoD after these free trials. Our results suggest that binge-watchers deplete the content of interest to them very quickly, which reduces their short-term willingness to pay for SVoD. We also show that recommendation reminders aimed at widening the content preferences of households off set the negative e ffect of binge-watching, and lessen the concerns of binge-watchers with lack of content refresh. We discuss that these recommendation reminders may help content providers manage supply costs, which may otherwise become prohibitive with frequent updates to SVoD catalogs.

Key words : Binge-Watching, Subscription-based Video-on-Demand, Recommendation Reminders, Randomized Experiment

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Recommender Systems and Consumer Welfare: Results from a Randomized Experiment in Video-on-Demand https://digi.chumbo.pt/recommender-systems-and-consumer-welfare-results-from-a-randomized-experiment-in-video-on-demand/ https://digi.chumbo.pt/recommender-systems-and-consumer-welfare-results-from-a-randomized-experiment-in-video-on-demand/#respond Mon, 28 Jan 2019 21:17:38 +0000 https://digi.chumbo.pt/?p=1781 Abstract

Recommender systems assign products to slots in ways that improve consumers’ experience when choosing what to buy. They usually lead to more sales, which increases both consumer surplus and profit. However, firms may also choose which recommender system to use to maximize profit. Furthermore, consumers tend to exhibit a lower price elasticity of demand towards products placed in salient slots. We show that a firm using this knowledge may increase its profit hurting both consumer surplus and total welfare. We use data from a large scale field experiment ran using the video-on-demand system of a large telecommunications provider to measure the price elasticity of demand for movies placed in salient and non-salient slots on the TV screen. During this experiment, the firm randomized the slots in which movies were recommended to consumers as well as their prices. This readily allows for identifying the effects of price and slot on demand and thus compute consumer surplus. We find empirical evidence that indeed consumers are less price elastic towards movies placed in salient slots. Using the outcomes of this experiment we simulate how consumer surplus and welfare change when the firm implements the recommender system that maximizes profit. We also show that, at least in our setting, this system still yields higher consumer surplus than some recommender systems often used in practice, such as lists of most sold, most rated and highest rated products. Our results question whether recommender systems embed mechanisms that extract excessive surplus from consumers, which may need to be better scrutinized.

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