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The purpose of this paper is to suggest how the effectiveness of an asset confiscation scheme might be evaluated by focussing on the currently operating Victorian model in Australia. For illustrative purposes, the offence of trafficking a commercial quantity of cannabis has been chosen. This is a topical and important issue, given two recent reports by the Victorian Auditor-General lamenting the absence of a suitable framework for evaluating the scheme’s performance. Because these programs provide important supplementary punishment tools, it is desirable that methodologies to gauge their efficacy be developed.

The approach to evaluating effectiveness is a mixture of criminological and economic theory coupled with some basic empirics. Utilising insights from the theories of valuing the social losses of crime and that of penalties provides a backdrop against which actual values of confiscated assets can be compared with ideal ones.

Comparison of actual and ideal values reveals a very considerable gap between the two, which suggests that the scheme is being underutilised relative to its maximum potential. The value of seized assets is well below the ideal order of magnitude. Even though the data on which this finding is based are sparse, the framework can be replicated as better statistics on the scheme’s operations become available.

The suggested methodology builds on and adds to current knowledge of evaluation techniques for legal system programs. Hopefully, it will provide stakeholders with yet another lens through which to view the operation of an asset confiscation scheme, and provide an impetus for collecting better quality data.

The purpose of this exploratory study is to expand on a previously developed crime harm index – the California Crime Harm Index (CA-CHI) – by discussing the development of the CA-CHI and presenting a comparison of the distribution of crime count and harm in a large Western city in the United States.

This study used descriptive analyses, spatial univariate mapping and bivariate choropleth maps to analyze the distribution of Part I crime counts and harm.

Results of the analysis show that while there was some variation in the distribution of crime count and harm city wide, spatial mapping and statistics reveal that the geographical distribution of crime count and harm across census tracts are largely consistent.

Minor discrepancies between the distribution of crime count and harm indicate the potential for the CA-CHI to inform law enforcement practices. However, the distributions remain largely similar at the census tract level. There is room for further development of the CA-CHI to better distinguish between the distribution of crime harm and volume.

No other study has used spatial mapping techniques like bivariate choropleth mapping to examine the distribution of crime volume and crime harm based on the CA-CHI in any location in California.

The purpose of this paper is to describe and test a quantitative harm-focused approach to offender selection for investigation and surveillance. The approach incorporates a measure of crime harm as well as a time-decay function that adjusts the score downward for offenders who desist from crime.

Across 10 of 21 high-crime police districts in the city of Philadelphia, the authors compare the mean harm scores of 60 prolific offenders selected by district analysts, 60 prolific offenders selected citywide by detectives assigned to the Gun Violence Reduction Task Force and the top 60 prolific offenders chosen from a harm-score generated list of known offenders in the ten high-crime districts.

The offenders on the harm-focused list have significantly greater mean harm scores than the offenders identified by the crime analysts or task force personnel. They have a significantly greater mean number of gun crime episodes in their offending history as well.

The harm-focused approach uses arrest data that may not accurately reflect convictions and which miss undetected criminal activity. A leader of a criminal organization who orchestrates criminal activities but does not engage directly may have a low harm score. Arrest data may also suffer from some inherent bias. The approach also requires the creation of a crime harm index. Determining the operational impact on overall crime reduction by focusing on offenders with higher harm scores will require further research.

Clinical methods of target selection based on officer intuition, opinion and experience may have limitations in terms of effectiveness and accuracy. They also lack transparency and may incorporate bias, a critical consideration given the current crisis in police-community trust and legitimacy. The actuarial method of weighing the harm of past offending with a crime harm score may be more acceptable and defendable to the community. It also identifies offenders with a higher frequency of involvement in gun crimes. Until methodological limitations are better understood, a compromise may be to start with the harm-score method (data-driven) and supplement this initial list through intelligence and investigative information.

The paper expands crime harm indices to quantify offender triage lists. The authors also empirically demonstrate through a case study that the approach is more effective at identifying harmful offenders than methods that solely rely on the experience or intuition of either crime analysts or detectives.

The purpose of this paper is to highlight important issues in the study of dysfunctional customer behavior and to provide a research agenda to inspire, guide, and enthuse. Through a critical evaluation of existing research, the aim is to highlight key issues and to present potentially worthy avenues for future study.

In reviewing recent and past advances in the study of customers behaving badly, an overview of existing research into customers behaving badly and addressing issues of terminology and definition is provided. Thereafter, three perspectives that provide the most opportunity and insight in studying the darker side of service dynamics are outlined. This leads to a review of some of the research design and methodological problems and issues that are faced when rigorously studying these issues. Subsequently, the paper devotes a section to the provocative idea that while dysfunctional customer behavior has many negative influences on customers, employees, and service firms, there are actually some positive functions of customers behaving badly.

A research agenda is provided that is believed to identify and discuss a range of projects that comprises not only insightful theoretical contributions but is also practically relevant.

The paper identifies a range of issues about which managers should be aware and proactively manage.

The purpose of this study is to analyze the aggravating and mitigating factors considered by the Investment Dealer Association (IDA)’s (Now IIROC) hearing panels when determining penalties.

To conduct this research, Quicklaw’s database Securities Regulation Tribunal Decisions were searched for all decisions made by the IDA between January of 2003 and June of 2008. This paper analyzes the 238 cases that were found.

The findings revealed that the IDA’s hearing panels were more likely to identify mitigating rather than aggravating factors when considering the appropriate penalties to be imposed on registrants. Perhaps this was because the hearing panels were more preoccupied with identifying mitigating factors that would, in turn, lead to less severe penalties for their members. The aggravating factors identified and considered were fewer in number than the aggravating factors identified but not considered by the hearing panels when imposing penalties.

IIROC needs to take stock of this study and encourage hearing panels to seriously take into consideration the factors listed in their sanction guidelines and apply them methodologically to each case.

Despite the widespread use of self-regulatory organization (SROs) to regulate various occupations, SROs remain an understudied institution. This is the first study of its kind that looks at the aggravating and mitigating factors used by an SRO’s hearing panel in administrative hearings.

The Bureau of Economics in the Federal Trade Commission has a three-part role in the Agency and the strength of its functions changed over time depending on the preferences and ideology of the FTC’s leaders, developments in the field of economics, and the tenor of the times. The over-riding current role is to provide well considered, unbiased economic advice regarding antitrust and consumer protection law enforcement cases to the legal staff and the Commission. The second role, which long ago was primary, is to provide reports on investigations of various industries to the public and public officials. This role was more recently called research or “policy R&D”. A third role is to advocate for competition and markets both domestically and internationally. As a practical matter, the provision of economic advice to the FTC and to the legal staff has required that the economists wear “two hats,” helping the legal staff investigate cases and provide evidence to support law enforcement cases while also providing advice to the legal bureaus and to the Commission on which cases to pursue (thus providing “a second set of eyes” to evaluate cases). There is sometimes a tension in those functions because building a case is not the same as evaluating a case. Economists and the Bureau of Economics have provided such services to the FTC for over 100 years proving that a sub-organization can survive while playing roles that sometimes conflict. Such a life is not, however, always easy or fun.

The purpose of this paper is to consider corporate social irresponsibility (CSI) within the supply chain. The discussion focuses on the social component of social responsibility and explores its effects on end-users. Moreover, this paper presents moral intensity, a construct introduced in the ethics literature, as a potential guide to managers who struggle to navigate the gray area between corporate social responsibility (CSR) and CSI.

This paper conceptualizes CSI within the supply chain and offers a framework and propositions for understanding and preventing irresponsible behavior from a moral intensity perspective.

The moral intensity framework provides a normative approach with the potential to guide managers who face choices involving decisions that might lead to irresponsible behavior in interorganizational settings.

This paper draws attention to business-to-business CSI and the limited research that focuses on the social aspects of CSR, rather than the environmental and economic factors emphasized in prior research. It also introduces the moral intensity framework to the supply chain literature and highlights the end-user’s (i.e. consumer’s) role in influencing the performance of the overall value chain.

The purpose of this paper is to explore the use of blockchain technology in contested markets. The authors specifically consider the development and utilization of this accounting system as a device that might democratize contested markets for vulnerable populations, supporting contested entrepreneurs while “cooling” the moral contestation to the market.

This study analyzes the relationship between vulnerable populations and contested market activities, the inclusive development and potential trust created by a blockchain accounting information system and how this interaction potentially creates support for economic and social systems.

This paper demonstrates that, in an era of decreased trust especially as it relates to a digital, globalized marketplace, blockchain has the potential to create democracies of access, trust and agency. This system overcomes many of the deficiencies associated with transparency and accountability and connects market participants with society, strengthening its potential to bridge two opposing vulnerable population viewpoints necessary for possible contested market development.

The authors contribute to a deeper understanding of the role of emerging technologies in the interconnectedness between vulnerable populations in a contested market. Recognizing that blockchain is an imperfect version of its ideal intention, the authors also discuss the limitations of the system with respect to corruption, collusion and potential issues of adoption, and how this reduces the influence of blockchain as a “cooling” device within contested markets.

The authors provide an illustrative example whereby an entire industry might be persuaded from avoidance to promotion of new traceability devices and supported in the development of an accessible market.

Global government's economic support for social systems continues to experience significant declines. With ever-degrading healthcare, infrastructure, public education, childcare, etc., new sources of economic influx are often desired. One potential source of additional funds is from the tax revenues derived from contested market transactions, those stigmatized industries often operating illegally. With substantial public distrust, blockchain potentially provides such industries with democratization and the trust necessary to transition the industry into a legal environment, with tax revenues benefiting various social systems.

This study goes beyond the preliminary discussions of the benefits and consequences of blockchain. Instead, the authors focus on the use of blockchain within contested markets and its ability to influence vulnerable populations. The authors also consider the use of blockchain-based accounting information systems to provide a holistic and more democratic platform from a regulatory, market participant and societal standpoint.