Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/191415 
Erscheinungsjahr: 
2018
Schriftenreihe/Nr.: 
CESifo Working Paper No. 7390
Verlag: 
Center for Economic Studies and ifo Institute (CESifo), Munich
Zusammenfassung: 
We consider a streaming platform which carries content from various upstream content providers. Participating customers face personalized recommendations from the platform and consume a mix of content originating from each provider. We analyze when the platform uses its personalized recommendation system to steer consumers from one content provider to another. We establish the conditions under which the recommendation system allows the platform to credibly threaten upstream providers to steer consumers away from their content in order to reduce their market power. We find that the streaming platform can increase its profit by reducing the royalty rate it pays to content providers through the use of a recommendation system which is strategically biased in favor of the cheaper content.
Schlagwörter: 
streaming platform
recommendation system
personalization
bias
JEL: 
D40
L10
L50
Dokumentart: 
Working Paper
Erscheint in der Sammlung:

Datei(en):
Datei
Größe
318.12 kB





Publikationen in EconStor sind urheberrechtlich geschützt.