Difference between revisions of "Wolfe, Higgins and Marcum (2008)"
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|Name of Study=Wolfe, Higgins and Marcum (2008) | |Name of Study=Wolfe, Higgins and Marcum (2008) | ||
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|Abstract=Digital piracy has been shown to be an emerging societal problem. However, research has demonstrated limited techniques that effectively combat digital piracy. The purpose of the present study is to examine the utility of computer viruses in deterring digital piracy. The findings from responses to a survey of college students revealed that fear of computer viruses may influence respondents' intentions to engage in digital piracy. The policy implications of this finding are discussed. | |Abstract=Digital piracy has been shown to be an emerging societal problem. However, research has demonstrated limited techniques that effectively combat digital piracy. The purpose of the present study is to examine the utility of computer viruses in deterring digital piracy. The findings from responses to a survey of college students revealed that fear of computer viruses may influence respondents' intentions to engage in digital piracy. The policy implications of this finding are discussed. | ||
|Link=http://ssc.sagepub.com/content/26/3/317.short | |Link=http://ssc.sagepub.com/content/26/3/317.short | ||
+ | |Reference=Christensen and Eining (1991); Gopal et al. (2004); Chiou et al. (2005); | ||
|Plain Text Proposition=* When comparing guilt to low self-control and to prior music piracy, guilt has the strongest association in the entire model. This suggests that individuals who do not see viruses as a deterrent see guilt as a deterrent. | |Plain Text Proposition=* When comparing guilt to low self-control and to prior music piracy, guilt has the strongest association in the entire model. This suggests that individuals who do not see viruses as a deterrent see guilt as a deterrent. | ||
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|FundamentalIssue=5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media), | |FundamentalIssue=5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media), | ||
|EvidenceBasedPolicy=F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness), | |EvidenceBasedPolicy=F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness), | ||
− | |Discipline=C: Mathematical and Quantitative Methods, C3: Multiple or Simultaneous Equation Models • Multiple Variables, C31: Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction Models, D10: General, P1: Capitalist Systems, P14: Property Rights | + | |Discipline=C: Mathematical and Quantitative Methods, C3: Multiple or Simultaneous Equation Models • Multiple Variables, C31: Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction Models, D10: General, P1: Capitalist Systems, P14: Property Rights, K4: Legal Procedure; the Legal System; and Illegal Behavior |
− | |Intervention-Response=* Policy makers can use guilt to reduce instances of digital piracy. This may be | + | |Intervention-Response=* Policy makers can use guilt to reduce instances of digital piracy. This may be accomplished by placing statements in downloading procedures that incite guilt. |
− | accomplished by placing statements in downloading procedures that incite guilt. | ||
* The ethical use of viruses may be important in reducing instances of digital piracy. | * The ethical use of viruses may be important in reducing instances of digital piracy. | ||
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|Cross-country=No | |Cross-country=No | ||
|Comparative=No | |Comparative=No | ||
+ | |Government or policy=No | ||
+ | |Literature review=No | ||
+ | }} | ||
+ | |Dataset={{Dataset | ||
+ | |Sample Size=400 | ||
+ | |Level of Aggregation=University students, | ||
+ | }}{{Dataset | ||
+ | |Sample Size=400 | ||
+ | |Level of Aggregation=University students, | ||
+ | }}{{Dataset | ||
+ | |Sample Size=400 | ||
+ | |Level of Aggregation=University students, | ||
+ | |Data Material Year=fall 2006 | ||
}} | }} | ||
}} | }} |
Revision as of 07:23, 22 August 2015
Contents
Source Details
Wolfe, Higgins and Marcum (2008) | |
Title: | Deterrence and Digital Piracy - A Preliminary Examination of the Role of Viruses |
Author(s): | Wolfe, S. E., Higgins, G. E., Marcum, C. D. |
Year: | 2008 |
Citation: | Wolfe, S. E., Higgins, G. E. and Marcum, C. D. 2008. Deterrence and Digital Piracy - A Preliminary Examination of the Role of Viruses. Social Science Computer Review, 26, 317-333. |
Link(s): | Open Access |
Key Related Studies: | |
Discipline: | |
Linked by: |
About the Data | |
Data Description: | Approximately 400 self-report questionnaire administered to college students at several
universities in the southeastern United States. The median age of the sample was 21 years with 39.9% of the sample male (n = 143) and 59.2% female (n = 212); 28.2% of respondents were non-White (n = 101), and the remaining 66.2% were White (n = 237). |
Data Type: | Primary data |
Secondary Data Sources: | |
Data Collection Methods: | |
Data Analysis Methods: | |
Industry(ies): | |
Country(ies): | |
Cross Country Study?: | No |
Comparative Study?: | No |
Literature review?: | No |
Government or policy study?: | No |
Time Period(s) of Collection: |
|
Funder(s): |
Abstract
Digital piracy has been shown to be an emerging societal problem. However, research has demonstrated limited techniques that effectively combat digital piracy. The purpose of the present study is to examine the utility of computer viruses in deterring digital piracy. The findings from responses to a survey of college students revealed that fear of computer viruses may influence respondents' intentions to engage in digital piracy. The policy implications of this finding are discussed.
Main Results of the Study
- When comparing guilt to low self-control and to prior music piracy, guilt has the strongest association in the entire model. This suggests that individuals who do not see viruses as a deterrent see guilt as a deterrent.
- correlations show that the more moral beliefs increased the less likely it was for an individual to see viruses as a deterrent to committing music piracy
- Individuals with lower levels of self-control are likely to engage or intend to engage in criminal and deviant behavior
- None of the demographic measures (i.e., sex, age, major, race, or income) were shown to have any statistically significant associations with music piracy.
- Self-control and previous music piracy were shown to have positive associations with an individual’s likelihood of seeing computer viruses as a potential consequence of engaging in music piracy
- As an individual’s level of guilt increased, the likelihood of him or her listing viruses as a consequence decreases
- The perception of downloading a virus may be considered a deterrent for digital piracy
Policy Implications as Stated By Author
- Policy makers can use guilt to reduce instances of digital piracy. This may be accomplished by placing statements in downloading procedures that incite guilt.
- The ethical use of viruses may be important in reducing instances of digital piracy.
Coverage of Study
Datasets
Sample size: | 400 |
Level of aggregation: | University students |
Period of material under study: |
Sample size: | 400 |
Level of aggregation: | University students |
Period of material under study: |
Sample size: | 400 |
Level of aggregation: | University students |
Period of material under study: | fall 2006 |