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Posts tagged crime scripting
Fraud against businesses both online and offline: Crime scripts, business characteristics, efforts, and benefits

By Marianne Junger*, Victoria Wang, Marleen Schlömer

This study analyses 300 cases of fraudulent activities against Dutch businesses, 100 from each of the following three categories: CEO-fraud, fraudulent contract, and ghost invoice. We examine crime scripts, key characteristics of targeted businesses, and the relationship between input criminal effort and output financial benefit. Results indicate that whilst all CEO-frauds are conducted online, most of the fraudulent contracts and ghost invoices are undertaken via offline means. Both Routine Activity Theory and Rational Choice Model are evidenced-fraudsters clearly take the business size and seasonality into account, and the input criminal effort and output criminal benefit are positively correlated. Having vigilant employees is evidenced as the most effective way of fraud prevention, both online and offline.

Crime Science 9(1): 1–15. 2020.

Examining emerging fraud facilitated by the internet through crime scripts

By Benoit Leclerc and Elena Morgenthaler

The rise of the internet or, more specifically, of services offered and conducted online has led to a dramatic rise in frauds and scams. This study is a systematic review of the literature on the use of crime script analysis in the field of fraud facilitated by the internet to identify stages of the crime commission process across different forms of fraud and examine ways to disrupt those crimes. The scripts for different forms of fraud shared three common elements: communicating with the victim, recruiting enablers, and using money mules. These common elements suggest possible prevention measures. Future applications of crime scripts in the field of fraud and financial crime more broadly are discussed.

Trends & issues in crime and criminal justice no. 680.

Canberra: Australian Institute of Criminology. 2023. 28p.

Financial Crime Scripting: an Analytical Method to Generate, Organise and Systematise Knowledge on the Financial Aspects of Profit-Driven Crime

By Thom Snaphaan and Teun van Ruitenburg

This article presents a further development of the existing crime scripting framework to enhance insight in the financial aspects of profit-driven crime: financial crime scripting. By drawing on the foundations of crime script analysis, financial crime scripting allows to generate, organize and systematize knowledge about the financial aspects of the crime commission processes of a variety of crime types, and accounts for linking the dots with financial crimes, such as bribery, bankruptcy fraud and money laundering. Viewing these financial crimes as supporting or succeeding offences in light of profit-driven crimes, and at the same time providing guidance to analyze these offences as profit-driven crimes in itself, opens the door for detailed analyses without losing sight of the bigger picture, i.e., the interconnectedness with other crimes. This analytical method helps crime researchers to take into account the financial aspects of crime-commission processes in crime script analyses and could help law enforcement agencies and other crime prevention partners to go beyond a proceeds-of-crime approach and put a follow-the-money approach in practice. Financial crime scripting takes full account of the financial aspects of profit-driven crime and puts relevant concepts in broader perspective, enhancing understanding with conceptual clarity. In addition to outlining the framework, the relevance for policy and practice is unraveled and avenues for future research are discussed.)

European Journal on Criminal Policy and Research, 2024.

The Poaching Diaries: Crime Scripting for Wilderness Problems

Edited by A.M. Lemieux.

The Poaching Diaries is an edited collection of contributions on wildlife crime prevention and wilderness problems. It is an outlet for practitioners, policy makers, and academics to tell stories that facilitate problem-solving.

The aim of The Poaching Diaries is to present ideas that help governments and civil society diversify their approach to wildlife protection to achieve lasting impacts. The focus of this volume is crime scripting, a useful process for unpacking problems and designing clever solutions. Crime scripts are generated by developing detailed, step-by-step accounts of very specific crimes, in the specific contexts and environments where they take place. These scripts capture the full process of committing a crime, including steps taken before and after the criminal act itself. This is useful for identifying weak points in the chain of events to focus prevention strategies. For example, a subway pickpocketing event is part of a larger process, in which the offender has many decisions to make and actions to complete; one of these actions could be loitering on platforms to find victims. Looking at this stage in the crime script, a disruption strategy might focus on limiting access to subway stations for individuals without a valid ticket. This would make it harder, or at least more expensive, for pickpockets to work and therefore a less attractive environment for crime.

Phoenix, AZ: Center for Problem-Oriented Policing, Arizona State University, 2020. 126[p.

Securing Protected Areas The Decision-making of Poachers and Rangers

By Nick van Doormaal

Wildlife crime is not a single event, but rather a chain of crime events, as depicted in Figure 1.1 and adapted from Moreto and Lemieux (2015) and ‘t Sas-Rolfes et al. (2019). Poaching, the illegal taking of wild flora and fauna, is the first event in a series of crimes that supply the demand for illicit wildlife products. After a poaching event, wildlife will typically be processed, transported to markets, traded, and consumed by the end user. Depending on the context, a number of different people or groups of people can be involved at various stages of the wildlife crime chain. The first stage of the wildlife crime chain will almost always start with a motivated poacher trying to illegally obtain a wildlife product inside a protected area. To prevent this product from entering the market, robust security of protected areas is essential. The studies in this dissertation focus on the poaching stage

Amsterdam: Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), 2020. 168p.

Problem-Oriented Wildlife Protection

By A.M. Lemieux & R.S.A. Pickles

As an officer for a national wildlife authority, you may experience déjà vu. You arrest poacher after poacher but the poaching threat in your park is not decreasing. You get called out to deal with crop raiding animals, but despite culling and translocation, each year there are more callouts. You are probably not alone in thinking ‘if we had more patrol teams…or faster response vehicles…or more money for operations, we could solve our problems’. Instead you have a restricted budget and the public expect you to deal with a broad range of wildlife problems, some of which use a lot of time and resources but do not seem to change. What’s more, you’re probably aware many wildlife protection problems are getting worse. Poaching and trafficking of wildlife for pets, food, ornaments or medicine is increasing across the world. There’s also more conflict between wildlife and people as they compete with one another for land and resources. Many of the problems you’ll be asked to solve are complex and you might find your organization’s traditional approaches need updating. It’s time to try something new. Problem-oriented policing was developed to help police officers find ways of reducing crime without substantial additional resources. A problem-oriented approach (a) supports ground-up initiatives addressing the context of a specific problem, (b) encourages innovative solutions beyond the criminal justice system, and (c) promotes collaboration within and beyond your agency. We think this approach has a lot to offer wildlife authorities and can be integrated with ongoing conservation strategies

Phoenix, AZ: Center for Problem-Oriented Policing, Arizona State University, 2020. 31p.