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Examining the Role of Peer Influence and Self-Control on Downloading Behavior

Bibliographic Data

ID2152608
AuthorsGeorge E Higgins (University of Louisville), Catherine D Marcum (0000-0002-9661-591X, Georgia Southern University), Tina L Freiburger (0000-0002-9933-4355, University of Wisconsin–Milwaukee), Melissa L Ricketts (Shippensburg University)
Year2012
Volume33
Issue5
Pages412-423
Publication date2012-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueDeviant Behavior (JOURNAL)
Journal identifiersISSN: 0163-9625 • E-ISSN: 1521-0456
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01639625.2011.584275
OpenAlexW2108361942
LanguageEN
Citations received9
References cited31

The purpose of the present study is two-fold. First, the present study is designed to provide additional information about the link between off-line and virtual peers and music piracy. Second, the present study provides information about how off-line and virtual peers interact with self-control to understand music piracy. The results of this study show that low self-control has a link with digital piracy. This means that individuals who cannot resist temptation and do not see the consequences of their action have an increased likelihood to perform digital piracy, which is consistent with a growing literature in this area (Higgins et al. 2006 Higgins , G. , B. Fell , and A. Wilson . 2006 . "Digital Piracy: Assessing the Contributions of an Integrated Self-control Theory and Social Learning Theory." Criminal Justice Studies: A Critical Journal of Crime, Law, and Society 19 : 3 – 22 .[Taylor & Francis Online] , [Google Scholar]; Higgins and Makin 2004a, 2004b; Higgins and Wilson 2006

Computer security · Control (management · Criminal justice · Criminology · Internet privacy · Self-control · Social control · Social science · Sociology · Temptation · Upload · World Wide Web · Computer Science · Copyright and Intellectual Property · Cybercrime and Law Enforcement Studies · Hate Speech and Cyberbullying Detection · Psychology · Social Psychology · Artificial Intelligence

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Unique citing works9
Citations per year0,69
Citation span2013 - 2025 (13)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 9

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