The effect of music streaming services on music piracy among college students
•We analyze the impact of music streaming services in digital music piracy.•Using a sample of 197 surveys, we evaluate correlations between groups.•We develop a Logit regression model to test five hypothesis regarding music piracy.•We find that music streamers are more likely to illegally download m...
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| Published in | Computers in human behavior Vol. 45; pp. 69 - 76 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.04.2015
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| Subjects | |
| Online Access | Get full text |
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| Abstract | •We analyze the impact of music streaming services in digital music piracy.•Using a sample of 197 surveys, we evaluate correlations between groups.•We develop a Logit regression model to test five hypothesis regarding music piracy.•We find that music streamers are more likely to illegally download music.•We find that optimistic beliefs about risk and rewards explain music piracy.
Previous studies examining the intention and level of music piracy among young people have postulated that collective attitudes, optimistic biases toward risk, and beliefs about copyright laws are the key factors involved in their decisions. We extend the analysis by studying the impact of music streaming services. Music streaming is an alternative business model in which, for a small fee, the consumer has access to a large set of songs without downloading them onto their devices. Results from a Logit model show that college students who are frequent users of music streaming are also more likely to download music illegally. A plausible explanation is that those engaged in music streaming are also heavy users of computer technology, software downloading, and digital sharing – factors that facilitate the conditions for music piracy. Demographics, collective attitudes, and beliefs about risk and rewards continue to play a key role in explaining music piracy, but their relevance is slightly reduced once controlled for music streaming usage. |
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| AbstractList | •We analyze the impact of music streaming services in digital music piracy.•Using a sample of 197 surveys, we evaluate correlations between groups.•We develop a Logit regression model to test five hypothesis regarding music piracy.•We find that music streamers are more likely to illegally download music.•We find that optimistic beliefs about risk and rewards explain music piracy.
Previous studies examining the intention and level of music piracy among young people have postulated that collective attitudes, optimistic biases toward risk, and beliefs about copyright laws are the key factors involved in their decisions. We extend the analysis by studying the impact of music streaming services. Music streaming is an alternative business model in which, for a small fee, the consumer has access to a large set of songs without downloading them onto their devices. Results from a Logit model show that college students who are frequent users of music streaming are also more likely to download music illegally. A plausible explanation is that those engaged in music streaming are also heavy users of computer technology, software downloading, and digital sharing – factors that facilitate the conditions for music piracy. Demographics, collective attitudes, and beliefs about risk and rewards continue to play a key role in explaining music piracy, but their relevance is slightly reduced once controlled for music streaming usage. Previous studies examining the intention and level of music piracy among young people have postulated that collective attitudes, optimistic biases toward risk, and beliefs about copyright laws are the key factors involved in their decisions. We extend the analysis by studying the impact of music streaming services. Music streaming is an alternative business model in which, for a small fee, the consumer has access to a large set of songs without downloading them onto their devices. Results from a Logit model show that college students who are frequent users of music streaming are also more likely to download music illegally. A plausible explanation is that those engaged in music streaming are also heavy users of computer technology, software downloading, and digital sharing - factors that facilitate the conditions for music piracy. Demographics, collective attitudes, and beliefs about risk and rewards continue to play a key role in explaining music piracy, but their relevance is slightly reduced once controlled for music streaming usage. |
| Author | Daw, Jesse Borja, Karla Dieringer, Suzanne |
| Author_xml | – sequence: 1 givenname: Karla surname: Borja fullname: Borja, Karla email: kborja@ut.edu organization: The University of Tampa, Tampa, FL, USA – sequence: 2 givenname: Suzanne surname: Dieringer fullname: Dieringer, Suzanne email: sdiering@mail.usf.edu organization: The University of South Florida, St. Petersburg, FL, USA – sequence: 3 givenname: Jesse surname: Daw fullname: Daw, Jesse email: jdaw@mail.usf.edu organization: The University of South Florida, St. Petersburg, FL, USA |
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| Snippet | •We analyze the impact of music streaming services in digital music piracy.•Using a sample of 197 surveys, we evaluate correlations between groups.•We develop... Previous studies examining the intention and level of music piracy among young people have postulated that collective attitudes, optimistic biases toward risk,... |
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| SubjectTerms | Attitudes and collective views Colleges Computer programs Computer simulation Digital music piracy Downloading Logit model Mathematical models Music Music industry Music streaming Piracy Risk Students |
| Title | The effect of music streaming services on music piracy among college students |
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