Article ID: | iaor20165097 |
Volume: | 29 |
Issue: | 1 |
Start Page Number: | 92 |
End Page Number: | 107 |
Publication Date: | Feb 2017 |
Journal: | INFORMS Journal on Computing |
Authors: | Hann Il-Horn, Oh JooHee |
Keywords: | simulation, law & law enforcement, economics, networks, demand |
The short period right after the release of a song is typically associated with extensive publicity and the highest sales. However, these songs are often found well before the official release date on peer‐to‐peer (P2P) networks. Not surprisingly, the industry considers this so‐called ‘prerelease’ piracy to be extremely damaging to the potential sales of a song. In this paper, we analyze the effect of antipiracy measures on the propagation of unauthorized content in P2P networks. For this purpose, we develop a model that describes the dynamics of demand and supply of piracy from the early stages. Using a unique data set, we quantify the impact of antipiracy measures; specifically, we analyze two antipiracy measures: the