Intellectual Property Theft and Organized Crime: The Case of Film Piracy

This article seeks to understand the processes by which the crime of intellectual property theft is organized, with specific attention given to film piracy. It seeks to identify the structure and function of the criminal enterprises engaged in this crime and assess the degree to which organized crime is involved with film piracy. An analysis of available sources reveals that general conclusions about the relationship of organized crime to film piracy results from a lack of useable and verifiable information in media, government, and industry sources. In the absence of independent, substantive analysis, anecdote and industry interests currently drive public policies and legal developments created to address the role of organized crime in film piracy. In the United States and across the globe, seizures, criminal indictments, civil actions, and public awareness are up considerably. Whether or not these advances can be maintained in the face of technological advances, the evolution of industry economic structures, and consumer indifference to the stigma of intellectual property theft and concern at industry response to such theft remains to be seen. Specific recommendations for future research are offered. The author would like to thank the International Center of the National Institute of Justice for soliciting funding this research through a grant, Intellectual Property and Organized Crime. He also Thanks Jay S. Albanese and his the anonymous reviewers of this work for their helpful comments and criticisms. This article only reflects the findings of the author, not the National Institute of Justice, Dr. Albanese or the reviewers.     

Duration of the time to reconviction: Evidence from UK prisoner discharge data

Duration models were used to investigate reconviction risks for a sample of 34,126 offenders released from prison in England and Wales during 1998. Different versions of the Cox proportional hazards model were applied to a comprehensive data set covering several offense types. Factors such as age (modelled using bands rather than a linear or quadratic format), gender, convictions-history, and offense type were found to be strongly associated with the risk of reconviction. Interactions between factors were also included and it was shown that the discrepancy between the risk of reconviction for males and females became weaker as the number of previous convictions increased. The study helped identify the subgroups of offenders for whom reconviction risks are greatest and the times when they seem to be most vulnerable to reconviction. Implications are explored for the design of prisoner resettlement programs and the prioritization of offenders for more intensive forms of intervention.     

Public Management 1996: Once More Unto the Breach

Reviewing public administration in Australia was once akin to watching glaciers — you knew there was movement and something was happening beneath the surface, but detection required patient observation over a long period of time.     

Measuring the deterrent effect of enforcement operations on drug smuggling, 1991–1999

This study examines a crucial question: What kind of effect do interdiction and other drug enforcement activities have on drug smuggling? Do they actually deter smuggling, or is their effect more one of disruption and displacement?...     

Theoretical and empirical specification of a model of informal labeling

Recently criminologists have begun to explore the importance of disaggregating frequency measures of self-reported delinquency into the separate decisions of initiation and continuation. Given that labeling makes predictions concerning continuation, the purpose of this paper is twofold. The first is to test the ability of an informal labeling model to predict the decision to continue delinquent behavior once it is initiated. The second purpose is to address the broader question of whether disaggregation matters. The findings support the idea that the informal labeling model is predictive of the decision to continue delinquent behavior. The findings also suggest that, at least for a measure of general delinquency, there are some differences to be found by choosing the appropriate sample and form of the dependent variable.