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A general theory of crime and computer crime: An empirical test

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  • Moon, Byongook
  • McCluskey, John D.
  • McCluskey, Cynthia Perez

Abstract

Computer crime has become a global issue and continues to rapidly grow; however, few studies had examined the applicability of a general theory of crime in explaining computer deviance. Using a panel of 2,751 Korean youths, the current study examined whether low self-control theory can be useful as a theoretical framework for explaining computer crime. The results indicated the applicability of low self-control theory in explaining both illegal download of software and illegal use of others' personal identification online. Consistent with the theory's prediction, opportunity variables, especially hours of computer use, were found to be significant predictors of computer crime. The shortcomings of the current research and the directions for future research were discussed.

Suggested Citation

  • Moon, Byongook & McCluskey, John D. & McCluskey, Cynthia Perez, 2010. "A general theory of crime and computer crime: An empirical test," Journal of Criminal Justice, Elsevier, vol. 38(4), pages 767-772, July.
    • Handle: RePEc:eee:jcjust:v:38:y::i:4:p:767-772
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    References listed on IDEAS

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    1. Ram D. Gopal & G. Lawrence Sanders, 1998. "International Software Piracy: Analysis of Key Issues and Impacts," Information Systems Research, INFORMS, vol. 9(4), pages 380-397, December.
    2. BurtonJr., Velmer S. & Evans, T. David & Cullen, Francis T. & Olivares, Kathleen M. & Dunaway, R. Gregory, 1999. "Age, self-control, and adults' offending behaviors: A research note assessing A general theory of crime," Journal of Criminal Justice, Elsevier, vol. 27(1), pages 45-54, January.
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    1. Bae, Sung Man, 2017. "The influence of strain factors, social control factors, self-control and computer use on adolescent cyber delinquency: Korean National Panel Study," Children and Youth Services Review, Elsevier, vol. 78(C), pages 74-80.
    2. Byung H. Lee, 2018. "Explaining Cyber Deviance among School-Aged Youth," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(2), pages 563-584, April.
    3. Charlotte Emily De Corte & Patrick Van Kenhove, 2017. "One Sail Fits All? A Psychographic Segmentation of Digital Pirates," Journal of Business Ethics, Springer, vol. 143(3), pages 441-465, July.
    4. Marko Mikkola & Noora Ellonen & Markus Kaakinen & Iina Savolainen & Anu Sirola & Izabela Zych & Hye-Jin Paek & Atte Oksanen, 2022. "Cyberharassment Victimization on Three Continents: An Integrative Approach," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    5. Ruochen Liao & Shenaz Balasinorwala & H. Raghav Rao, 2017. "Computer assisted frauds: An examination of offender and offense characteristics in relation to arrests," Information Systems Frontiers, Springer, vol. 19(3), pages 443-455, June.
    6. Dennis Sing-wing Wong & Sai-fu Fung, 2020. "Development of the Cybercrime Rapid Identification Tool for Adolescents," IJERPH, MDPI, vol. 17(13), pages 1-13, June.

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