Difference between revisions of "Higgins, Wolfe and Marcum (2008)"
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|Full Citation=Higgins, G. E., Wolfe, S. E. and Marcum, C. D. 2008. Digital piracy: An Examination of Three Measurements of Self-Control. Deviant Behavior, 29, 440-460. | |Full Citation=Higgins, G. E., Wolfe, S. E. and Marcum, C. D. 2008. Digital piracy: An Examination of Three Measurements of Self-Control. Deviant Behavior, 29, 440-460. | ||
|Abstract=Research has shown a link between digital piracy and self-control. However, the research focuses on only one version of self-control theory. The purpose of the present study is to examine the link between self-control and digital piracy. Using data from 358 college students, this study shows that all 3 measures of self-control help us understand the link between selfcontrol and digital piracy. The results indicate that illuminating the factors that could be inhibitions and developing strong social bonds can reduce the likelihood of digital piracy. | |Abstract=Research has shown a link between digital piracy and self-control. However, the research focuses on only one version of self-control theory. The purpose of the present study is to examine the link between self-control and digital piracy. Using data from 358 college students, this study shows that all 3 measures of self-control help us understand the link between selfcontrol and digital piracy. The results indicate that illuminating the factors that could be inhibitions and developing strong social bonds can reduce the likelihood of digital piracy. | ||
− | |Link=http://www. | + | |Authentic Link=http://www.tandfonline.com/doi/abs/10.1080/01639620701598023#.VdnkAvntmko |
+ | |Link=http://libres.uncg.edu/ir/asu/f/Marcum_CD_2008_Digital_Piracy.pdf | ||
|Reference=Gopal, Sanders, Bhattacharjee, Agrawal and Wagner (2004); Akers (1998); Higgins, Fell, and Wilson (2006); | |Reference=Gopal, Sanders, Bhattacharjee, Agrawal and Wagner (2004); Akers (1998); Higgins, Fell, and Wilson (2006); | ||
|Plain Text Proposition=Results: | |Plain Text Proposition=Results: | ||
Line 17: | Line 18: | ||
|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=L82: Entertainment • Media | + | |Discipline=L82: Entertainment • Media, K42: Illegal Behavior and the Enforcement of Law |
|Intervention-Response=* Policymakers should consider developing stronger inhibitions toward digital piracy. | |Intervention-Response=* Policymakers should consider developing stronger inhibitions toward digital piracy. | ||
|Description of Data=358 undergraduate students. | |Description of Data=358 undergraduate students. | ||
+ | |Data Year=2006 | ||
|Data Type=Primary data | |Data Type=Primary data | ||
|Method of Collection=Survey Research (quantitative; e.g. sales/income reporting) | |Method of Collection=Survey Research (quantitative; e.g. sales/income reporting) | ||
|Method of Analysis=Regression Analysis | |Method of Analysis=Regression Analysis | ||
|Industry=Software publishing (including video games); Television programmes; Sound recording and music publishing; Publishing of books, periodicals and other publishing; | |Industry=Software publishing (including video games); Television programmes; Sound recording and music publishing; Publishing of books, periodicals and other publishing; | ||
+ | |Country=United States; | ||
|Cross-country=No | |Cross-country=No | ||
|Comparative=No | |Comparative=No | ||
+ | |Government or policy=No | ||
+ | |Literature review=No | ||
+ | |Funded By=Not stated; | ||
}} | }} | ||
|Dataset={{Dataset | |Dataset={{Dataset | ||
|Sample Size=358 | |Sample Size=358 | ||
|Level of Aggregation=University students, | |Level of Aggregation=University students, | ||
+ | |Data Material Year=2006 | ||
}} | }} | ||
}} | }} |
Revision as of 15:20, 23 August 2015
Contents
Source Details
Higgins, Wolfe and Marcum (2008) | |
Title: | Digital piracy: An Examination of Three Measurements of Self-Control |
Author(s): | Higgins, G. E., Wolfe, S. E., Marcum, C. D. |
Year: | 2008 |
Citation: | Higgins, G. E., Wolfe, S. E. and Marcum, C. D. 2008. Digital piracy: An Examination of Three Measurements of Self-Control. Deviant Behavior, 29, 440-460. |
Link(s): | Definitive , Open Access |
Key Related Studies: | |
Discipline: | |
Linked by: | Hunt, Williams, Nicholas and Rowlands (2009) |
About the Data | |
Data Description: | 358 undergraduate students. |
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
Research has shown a link between digital piracy and self-control. However, the research focuses on only one version of self-control theory. The purpose of the present study is to examine the link between self-control and digital piracy. Using data from 358 college students, this study shows that all 3 measures of self-control help us understand the link between selfcontrol and digital piracy. The results indicate that illuminating the factors that could be inhibitions and developing strong social bonds can reduce the likelihood of digital piracy.
Main Results of the Study
Results:
- Indicate that an individual is likely to perform digital piracy because of who they are as indicated by the characteristics of low self-control.
- Indicates that the personality characteristics have a link with digital piracy, but it gives the impression that low self-control is a positive force that will motivate individuals to perform digital piracy.
- The social bonding measure has a negative link with the likelihood to performing digital piracy.
- As the individual sees more of their inhibitions then they are less likely to perform digital piracy.
- When examined together, all of the measures of self-control have a connection with the likelihood to perform digital piracy.
Policy Implications as Stated By Author
- Policymakers should consider developing stronger inhibitions toward digital piracy.
Coverage of Study
Datasets
Sample size: | 358 |
Level of aggregation: | University students |
Period of material under study: | 2006 |