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Computer assisted frauds: An examination of offender and offense characteristics in relation to arrests

Author

Listed:
  • Ruochen Liao

    (State University of New York at Buffalo
    Blue Cross Blue Shield of WNY
    University of Texas at San Antonio)

  • Shenaz Balasinorwala

    (State University of New York at Buffalo
    Blue Cross Blue Shield of WNY
    University of Texas at San Antonio)

  • H. Raghav Rao

    (State University of New York at Buffalo
    Blue Cross Blue Shield of WNY
    University of Texas at San Antonio)

Abstract

Previous studies on fighting computer-assisted frauds have attempted to assist law enforcement agencies (LEAs) to better understand important aspects of motivation, opportunity and deterrence. However, there have been few empirical studies on the profiles of convicted offenders, post detection. This paper examines characteristics of frauds and their associated respective law enforcement response with particular emphasis on frauds facilitated by information technology. The findings show how the prosecution and conviction of the offenders differ among commonly-seen types of computer assisted frauds, and bring new evidence to the common association of gender and crime, severity and punishment, etc. The findings may help LEAs and legislative bodies to evaluate their current practices from the point of restorative social justice.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:3:d:10.1007_s10796-017-9752-4
    DOI: 10.1007/s10796-017-9752-4
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    References listed on IDEAS

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    2. Xiongfei Cao & Ali Nawaz Khan & Ahsan Ali & Naseer Abbas Khan, 2020. "Consequences of Cyberbullying and Social Overload while Using SNSs: A Study of Users’ Discontinuous Usage Behavior in SNSs," Information Systems Frontiers, Springer, vol. 22(6), pages 1343-1356, December.
    3. Rajan, Rishabh & Rana, Nripendra P. & Parameswar, Nakul & Dhir, Sanjay & Sushil, & Dwivedi, Yogesh K., 2021. "Developing a modified total interpretive structural model (M-TISM) for organizational strategic cybersecurity management," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
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    5. Jin Li & Wei Xiao & Chong Zhang, 2023. "Data security crisis in universities: identification of key factors affecting data breach incidents," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
    6. Douglas Cumming & Sofia Johan & Denis Schweizer, 2017. "Information systems, agency problems, and fraud," Information Systems Frontiers, Springer, vol. 19(3), pages 421-424, June.

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