Nature or nurture? A meta-analysis of the factors that maximize the prediction of digital piracy by using social cognitive theory as a framework

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• 作者：Paul Benjamin Lowry^a ; ^{Paul.Lowry.PhD@gmail.com} ; Jun Zhang^a ; ^{junzhangnju@gmail.com} ; Tailai Wu^b ; ^{lncle2012@yahoo.com}
• 关键词：Digital piracy ; Piracy ; Meta-analysis ; Literature review ; Social cognitive theory (SCT) ; Theory building ; Illegal file sharing ; Copyright infringement ; Neutralization ; Sanctions ; Morality ; Costs ; Benefits ; Risks ; Social influence ; Perceived behavioral control (PBC) ; Self-efficacy ; Moral disengagement
• 刊名：Computers in Human Behavior
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：68
• 期：Complete
• 页码：104-120
• 全文大小：640 K
• 卷排序：68

文摘

Digital piracy is a worldwide problem of great social cost. Most theories have little predictive value for digital piracy. This study aims to maximize prediction of piracy models. We do so by applying social cognitive theory (SCT). Our extensive meta-analysis shows SCT is good for prediction.