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A Behavioral Model of Digital Music Piracy
Open accessAbstract
The increasing pervasiveness of the Internet, broadband connections, and the emergence of digital compression technologies have dramatically changed the face of digital music. Digitally compressed music files are essentially a perfect public economic good, and illegal copying of these files has increasingly become rampant. In this article, we present a study on the behavioral dynamics that impact the piracy of digital audio files and provide a contrast with software piracy. Our results indicate that the general ethical model of software piracy is broadly applicable to audio piracy. However, significant enough differences with software underscore the unique dynamics of audio piracy. We highlight practical implications that can help the recording industry to effectively combat piracy and provide future research directions.
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Oestreicher-Singer, G., & Zalmanson, L. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.2.12 · Cited by 422
Beyond Bitcoin: What blockchain and distributed ledger technologies mean for firms
Hughes, A., Park, A., Kietzmann, J., & Archer-Brown, C. (2019) · Business Horizons · doi:10.1016/j.bushor.2019.01.002 · Cited by 348
Wang, Y.-S., Yeh, C.-H., & Liao, Y.-W. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2012.09.004 · Cited by 222
Influence of Media Capabilities on Trust in the Sharing Economy
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Metadata
- Authors
- Gopal, R. D., Sanders, G. L., Bhattacharjee, S., Agrawal, M., & Wagner, S. C.
- Venue
- Journal of Organizational Computing and Electronic Commerce
- Publisher
- Informa UK Limited
- Published
- 2004-06
- Volume
- 14
- Issue
- 2
- Pages
- 89-105
- ISSN
- 1054-1721 (ISSN-L)
- 1091-9392
- 1532-7744
- OpenAlex
- W2159565338
- Cited by
- 264
- References
- 26
- FWCI
- 36.97
- Type
- journal article
- Language
- en
- Open access
- green
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- Gopal, R. D., Sanders, G. L., Bhattacharjee, S., Agrawal, M., & Wagner, S. C. (2004). A Behavioral Model of Digital Music Piracy. Journal of Organizational Computing and Electronic Commerce. https://doi.org/10.1207/s15327744joce1402_01
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.