Economic Criminology:A Convenience Theory Approach
Petter Gottschalk
Additional contact information
Petter Gottschalk: BI Norwegian Business School, Norway
in World Scientific Books from World Scientific Publishing Co. Pte. Ltd.
Abstract:
The objective of this book is to present economic criminology as a distinct school within criminal justice, focused on profit-driven crime and its organizational, social, and behavioral dimensions. This is achieved through applying convenience theory, which explains economic crime through the interplay of motive, opportunity, and willingness, offering a structured framework for understanding why individuals and organizations engage in financial wrongdoing.
Keywords: Economic Crime; Convenience Theory; White-Collar Crime; Artificial Intelligence; Criminological Theories; Economic Criminology; Marxist; Criminology; External Deviance; Internal Deviance; Individual Deviance; Behavioural Theories; Behavioral Theories; Integrated Reasoning; Deductive Reasoning; Convenience Orientation; Crime Convenience Triangle; Crime Motives; Crime Opportunities; Willingness Attitudes; Crime Justification; Embezzlement; Betanien; Priest; Britta Nielsen; Digital Economic Criminals; Digital Fraudsters; Online Scamming; Norfund; Deferred Prosecution Agreements (search for similar items in EconPapers)
JEL-codes: D73 K14 K22 K23 K42 M14 (search for similar items in EconPapers)
Date: 2026
ISBN: 9781807290603
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.worldscientific.com/worldscibooks/10.1142/q0603 (text/html)
Ebook Access is available upon purchase
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:wsbook:q0603
Ordering information: This item can be ordered from
Access Statistics for this book
More books in World Scientific Books from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().