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| − | |Source={{Source
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| − | |Name of Study=Kwan (2007)
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| − | |Author=Kwan, S. S. K.
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| − | |Title=End-user digital piracy: Contingency framework, affective determinants and response distortion
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| − | |Year=2007
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| − | |Full Citation=Kwan, S. S. K. (2007). End-user digital piracy: Contingency framework, affective determinants and response distortion.
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| − | |Abstract=With rapid advances in networking and multimedia technologies, end-user digital piracy has caused more substantial impacts to firms producing digital contents as well as the society at large. In response to the phenomenon, three related research have been conducted. The first research proposes a contingency model to understand the decision making process of end-user digital piracy behavior. The model encompasses two distinct piracy behaviors, namely unauthorized copying and unauthorized sharing, and two distinct digital contents: namely software as well as movie and music. Empirical support of the proposed model is obtained by a large-scale online survey. While the first research mainly adopts a cognitive perspective, the second research considers affective factors involved in unauthorized sharing that is seldom studied in previous literature. The third research focuses on response distortion that has been troubling many empirical studies on digital piracy. I propose an innovative method for structural equation modeling using data obtained by Randomized Response Technique (RRT) that is often mistaken as only suitable for univariate analysis. The usefulness and feasibility of this new method are supported by large-scale empirical studies on software piracy.
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| − | |Authentic Link=http://repository.ust.hk/ir/Record/1783.1-2907
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| − | |Link=http://lbezone.ust.hk/bib/b959716
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| − | |Reference=Cheng, Sims and Teegen (1997); Gantz and Rochester (2005); Al-Rafee and Cronan (2006);
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| − | |Plain Text Proposition=* Moral obligation is not a significant direct determinant of behavioral intention. This is simply because moral obligation is considered in parallel with attitude which is a strong direct determinant of behavioral intention. We actually found that moral obligation is an important indirect determinant of behavioral intention mediated by attitude, especially for unauthorized sharing behaviors.
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| − | |FundamentalIssue=5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media),
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| − | |EvidenceBasedPolicy=F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness),
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| − | |Discipline=K42: Illegal Behavior and the Enforcement of Law, O3: Technological Change • Research and Development • Intellectual Property Rights, O33: Technological Change: Choices and Consequences • Diffusion Processes, O34: Intellectual Property and Intellectual Capital
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| − | |Intervention-Response=Researchers in piracy may benefit from new findings from the emerging trend in moral psychology that emphasizes affective rather than cognitive factors. Methods of brain
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| − | imaging based on advances in functional magnetic resonance imaging (fMRI) technology have also been deployed to empirically test new theories and to understand the underlying process at a microscopic biological level. Such development has led to exciting results and may provide new insights and strong evidence of the emotional reactions involved in end-user digital piracy.
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| − | |Description of Data=The data were collected through surveys. Participants were recruited from the members of a major e-government portal in
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| − | Hong Kong as in the first research. A lucky draw was offered to those who finished
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| − | the experiment as a token of gratitude. Participants were unaware of the topic of
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| − | study at the time of recruitment. They were randomly assigned to one of four
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| − | different study cells.
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| − | |Data Year=Not stated
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| − | |Data Type=Primary and Secondary data
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| − | |Method of Collection=Quantitative Collection Methods, Qualitative Collection Methods, Survey Research (qualitative; e.g. consumer preferences)
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| − | |Method of Analysis=Quantitative Analysis Methods, Qualitative Analysis Methods
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| − | |Industry=Software publishing (including video games); Film and motion pictures; Sound recording and music publishing;
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| − | |Country=Hong Kong;
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| − | |Cross-country=No
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| − | |Comparative=No
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| − | |Government or policy=No
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| − | |Literature review=Yes
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| − | }}
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| − | |Dataset={{Dataset
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| − | |Sample Size=176
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| − | |Level of Aggregation=Individual,
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| − | |Data Material Year=Not stated
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| − | }}{{Dataset
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| − | |Sample Size=203
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| − | |Level of Aggregation=Individual,
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| − | |Data Material Year=Not stated
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| − | }}{{Dataset
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| − | |Sample Size=183
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| − | |Level of Aggregation=Individual,
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| − | |Data Material Year=Not stated
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| − | }}{{Dataset
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| − | |Sample Size=157
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| − | |Level of Aggregation=Individual,
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| − | |Data Material Year=Not stated
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| − | }}
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| − | }}
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