white collar crime literature review

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• v.29(6); 2022

White-collar crime: a neglected area in forensic psychiatry?

Rose clarkson.

a Forensicare, Victorian Institute of Forensic Mental Health, Clifton Hill, VIC, Australia

b Centre for Forensic Behavioural Science, Swinburne University of Technology, Clifton Hill, VIC, Australia

Rajan Darjee

White-collar crime (WCC) causes considerable societal harm, the economic and psychosocial costs of which exceed those of conventional crime. Despite the impact, it has received scant attention from the academic literature in forensic psychiatry. This narrative literature review covers important topics in our understanding of white-collar crime, including offender characteristics such as demographics, criminal history, mental illness, personality and psychopathy, the link with violent offending and the trajectory of the white-collar offender (WCO) through the criminal justice system. White-collar crime is under-researched, particularly with regards to psychopathology, and the field of forensic psychiatry may have important contributions to make to our understanding of this important and harmful type of crime.

Introduction

The term ‘white-collar crime’ (WCC) was coined by sociologist Edwin Sutherland in 1939, who described it as ‘a crime committed by a person of respectability and high social status in the course of his occupation’ (Simpson, 2019 , p. 190; Sutherland, 1983 ). WCC had been earlier described in academia (Bonger, 1916 ), fiction (Casey & Markopolos, 2010 ) and the popular press (Frankel, 2012 ). As Ross commented in 1907: ‘The modern high-power dealer of woe wears immaculate linen, carries a silk hat and a lighted cigar, sins with a calm countenance and a serene soul, leagues or months from the evil he causes’ (Ross, 1907 , p. 10).

The definition of WCC is ambiguous and poorly defined in the literature (Holtfreter, 2005 ; Ragatz & Fremouw, 2010 ; Simpson, 2019 ). WCC encompasses ‘illegal or unethical acts that violate fiduciary responsibility or public trust’ (Senate Economics References Committee, 2017, p. 2, as cited in Simpson, 2019 ). Definitions focus on the high social status of the offender (Menard et al., 2011 ; Sutherland, 1983 ), certain types of offending (Benson, 2013 ; Friedrichs, 2009 ), breach of trust (Ling et al., 2019 ) or the occupational setting (Benson & Chio, 2019 ; Friedrichs, 2019 ). Evolving technology has led to new types of WCC (Rebovich, 2021 ). There are many alternative terms: occupational crime, corporate crime (Ragatz & Fremouw, 2010 ), economic crime (Alalehto, 2003 ) and grey-collar crime (Ling et al., 2019 ). There is a lack of consensus on where the boundaries fall; some legislation gives prosecutors complete discretion to decide whether offending falls under criminal or civil penalties, creating a ‘blurred’ line between WCC and non-criminal wrongdoing (Feeley, 2006 ; S. P. Green, 2004 ; Sachs, 2001 ). There are so many different types of WCC that studying WCC or white-collar offender (WCO) as a homogeneous group can be difficult. Definitions based on characteristics of offenders (e.g. high social status) rather than the offending behaviour make any differences found between WCO and other offenders virtually axiomatic, so most criminological studies use an offence-based definition. This review takes a broad and inclusive approach and considers literature regarding all the above definitions.

The costs of WCC outweigh those of conventional crime by several orders of magnitude, with a large undetected figure and associated physical and environmental costs (Croall, 2016 ). The costs extend beyond the financial and physical injury/death (Cohen, 2016 ); there is a growing literature on the psychological impact on white-collar victims (Button et al., 2009 ; Piquero, 2018 ). In the United States, WCC has been quantified to cost hundreds of billions, with the non-quantified costs even greater (Cohen, 2016 ). In Europe, over 42% of larger companies have been victimised (Blickle et al., 2006 ).

In Australia, the Australia Federal Police estimated that organised fraud costs the Australian economy $6.3 billion per year, which may be an underestimate, as firms prefer to address WCC internally to avoid reputational damage (Senate Economics References Committee, 2017 ). In 2008, 5% of the Australian population were victimised by consumer fraud, with personal losses of almost $1 billion (Smith & Budd, 2009 ). In PricewaterhouseCooper’s 2014 Global Economic Crime Survey, 57% of surveyed Australian organisations experienced WCC in the past two years, with more than a third losing more than $1 million (Senate Economics References Committee, 2017 ). In New Zealand, tax evasion is estimated at $1.2 billion per year, and is under-investigated and under-prosecuted, due to limited resources of government agencies (Marriott, 2018 ). Public perceptions of sentencing of WCC in Australia are that it is endemically lenient (Freiberg, 2019 ). In New Zealand, WCOs receive more lenient treatment in the justice system than other offenders (Marriott, 2020 ). Australia has been described as a ‘paradise’ for WCC by the Australian Securities and Investments Commission (ASIC) Chairman (Senate Economics References Committee, 2017 ).

There have been several high-profile cases of WCC, which appear to raise significant questions relevant to psychiatry. In 2020 Melissa Caddick went missing hours after ASIC executed a search warrant at her mansion. Three months later her decomposed foot was found on a beach after she had apparently committed suicide (Federal Court of Australia, 2021 ). She had swindled investors out of over $20 million as her apparently successful business was a front for a Ponzi scheme. The case raised questions about what type of person would swindle family and friends, and the mental health impact of being investigated and prosecuted. The life history of Charles Ponzi, after whom Ponzi schemes are named, raises questions about the personality development and pathology of people who become ‘swindlers’ and ‘con artists’ ( Ponzi v. Fessenden , 1922 ), and there has been debate over whether Bernard Madoff, who ran the largest Ponzi scheme in history (United States Department of Justice, 2020 ), was psychopathic or whether his behaviour was symptomatic of underlying systemic failures – that is, whether the explanation was primarily in the realm of psychopathology or socioeconomics. Mental health has been raised somewhat controversially in relation to fitness to stand trial in some high-profile cases, citing depression (e.g. Nirav Modi fighting extradition from the UK to India; The Government of India v Nirav Deepak Modi , 2021 ) or dementia (e.g. Robert Brockman in the USA, Bloomberg, 2021 ; and Christopher Griggs in Australia, Australian Securities and Investment Commission, 2016 ). A concern in such cases is whether people adept at committing large-scale fraud are also adept at fooling psychiatrists and the courts. Issues raised by these cases include: the role of psychopathology in such offending behaviour; the mental health of offenders after they are apprehended; and the role of psychiatric assessment in the legal processing of cases. But what does forensic psychiatry have to say about or contribute to our understanding of WCC and the management of such cases?

Despite the harmful impact and public concern, these ‘hidden crimes or quiet violence’ (Frank & Lynch, 1992 ) have received little attention in forensic psychiatry publications, particularly when contrasted to violent or sexual offences. The academic literature on WCC comes primarily from the fields of sociology, criminology and business/accounting. Although there has been an emergence of interest in the individual psychology of WCOs over recent decades, the research into this area remains scant, with non-evidence-based assumptions being commonplace. This is an area that involves the core business of forensic psychiatry – the intersection of mental health, the legal system and criminal activity – and in which forensic psychiatry may be able to offer valuable contributions, and individual practitioners should have a basic understanding of WCC and offenders. This narrative literature review covers some of the topics particularly relevant to forensic psychiatry and identifies areas that need more research.

To locate publications relevant to WCC and psychiatry, an inclusive search approach was employed, focused on the intersection of two concepts: (a) white-collar crime, and (b) mental health and psychopathology (including individual offender characteristics).

A Boolean search strategy was used across three databases: PsychNet, EbscoHost (Health business elite, Psychology and Behavioral Sciences Collections) and Pubmed, with slightly different search terms according to the requirements of each search engine. The search terms for each database are listed in the Appendix .

The first author read the title of each article and, if relevant, reviewed the abstract. Sixty-nine publications were selected as relevant based on the abstracts (36 from PsychNet, 27 from Ebscohost and 65 from Pubmed, with overlap between results).

The reference lists from these 69 articles were examined to identify additional publications that the database searches missed; the references of these articles were then reviewed to locate additional resources in an iterative fashion, until saturation point. The diverse terminology resulted in the identification of an additional 336 publications (for a total of 405); these included resources not directly linked to mental health but considered foundational texts in the broader study of WCC. Due to the lack of standard terminology/meaning of WCC in the literature, all definitions were included.

These articles were read and critically evaluated, according to key results, limitations, methodology, quality, interpretation of results and impact in the field, and those studies with the best contributions were included (Ferrari, 2015 ). In some areas, due to the lack of data, low-quality studies are also discussed. The information was then synthesised into a narrative overview (B. N. Green et al., 2006 ), focusing on major topics, findings and debates relevant to forensic psychiatry.

Psychiatry in the WCC literature

There is very little psychiatric research or commentary in the WCC literature. Only three articles directly related to forensic psychiatry and WCC were located: one research study (Poortinga et al., 2006 ) and two review articles (Brady et al., 2016 ; Price & Norris, 2009 b). Poortinga and colleagues (Poortinga et al., 2006 ) noted that WCOs represent a very small proportion of those who are referred for psychiatric assessment (0.25%). Brady et al. argued that forensic psychiatry can make significant contributions to the field (Brady et al., 2016 ). Price and Norris argued that forensic psychiatrists should be more involved in research into WCOs, and are in a key position to study the individual characteristics of offenders (Price & Norris, 2009 b).

Psychiatrists and mental health clinicians can also be WCOs themselves (Forte, 2018 ; Jesilow et al., 1993 ; Maesen, 1991 ; Ogunbanjo & van Bogaert, 2013 ; Price & Norris, 2009 b; Timofeyev & Jakovljevic, 2020 ). This can cause considerable reputational harm to the profession, and fraud in the mental health field directly reduces the resources available for patient care (Torrey et al., 2015 ).

Who are white-collar offenders?

Demographics.

There are several distinguishing characteristics of WCOs. Wheeler et al. ( 1987 ), in the now influential ‘Yale Studies’, found that WCOs tend to be white, male, older, college-graduates and employed. These results have been supported by later research (Ragatz & Fremouw, 2010 ; Ragatz et al., 2012 ). WCOs have a mean age in their 40s (Benson & Kerley, 2001 ; Holtfreter, 2005 ; Van Onna et al., 2014 ), and mean age of 35 for onset of offending (Van Onna et al., 2014 ), a counterpoint to the classical age–crime curve of conventional offending (Benson & Kerley, 2001 ; Farrington, 1986 ). Menard and colleagues (Menard et al., 2011 ) surveyed 1725 adolescents over a 27-year follow-up period and found that white-collar offending peaked in middle age. Arnulf and Gottschalk ( 2013 ), in a study of 179 WCOs, described a subset of 28 ‘heroic leaders’, older, richer, more powerful and more likely to be leaders in group offending. They suggested that these ‘previously law-abiding people with splendid careers’ commit their first crimes subsequent to attaining leadership success, possibly caused by latent narcissistic personality traits (Arnulf & Gottschalk, 2013 ). Delisi et al. ( 2018 ) likewise identified a group of ‘de novo advanced adult-onset offenders’ with high socioeconomic status.

Socioeconomic status is particularly relevant to WCC and is considered by some to be definitional (Menard et al., 2011 ). Piff et al. ( 2016 ) suggested that upper-class individuals behave unethically out of self-interest, whilst lower-class individuals tend to behave unethically to assist others. Regarding legal sanctions, Reiman and Leighton argued that the ‘criminal justice system effectively weeds out the well-to-do’ (Reiman & Leighton, 2016, p. 114), and wealthy individuals are less likely to be investigated and prosecuted, with more lenient sanctions (Galvin & Simpson, 2019 ; Marriott, 2018 ), which may lead to lower estimations of risk of offending in those with high financial resources.

Gender has been another focus of attention. Between 80% and 92% of WCOs are men (Blickle et al., 2006 ; Gottschalk & Glasø, 2013 ; Timofeyev & Jakovljevic, 2020 ; Weisburd et al., 1991 ), and women WCOs are more likely to be white and less educated, and more likely to commit low-level offences and work alone (Daly, 1989 ; Ruhland & Selzer, 2020 ). Women’s opportunities for WCC may be restricted by their positions in organisational hierarchies (Holtfreter, 2013 ), and some have argued that female WCC will increase as more women occupy higher positions (Dodge, 2019 ; Piquero et al., 2013 ; Simon, 1996 ). Others have suggested that more women in positions of power will lead to an overall reduction in this behaviour (Galvin, 2020 ; Vieraitis et al., 2012 ). Others have suggested that the detection rate for female WCOs may be lower (Gottschalk, 2012 , 2020 ; Gottschalk & Glasø, 2013 ). There may be gender-related attitudinal differences (Fenwick, 2006 ), impacted by cultural factors, type of corruption (A. R. Lee & Chávez, 2020 ) or perceived discrimination (Casten, 2013 ).

Biological factors

Kendler and colleagues ( 2015 ), using 21,603 twin pairs from the Swedish Twin Registry, compared WCC to violent and property crime. They found that WCC had a total heritability of around 53%, similar to property crime, and more than violent crime at 45%, with about a third of the genetic influence being ‘unique’ to WCC (compared to around half for violent crime, and none for property crime). They suggested that the genetic influences unique to WCC might reflect a genetic predisposition to ‘rule breaking’, as distinct from aggression. J. J. Lee et al. ( 2015 ) looked at hormonal factors (testosterone and cortisol) in a non-offender sample ( N  = 82) and found that elevated levels of cortisol and testosterone encouraged cheating, associated with subsequent reductions in cortisol and negative affect. They suggested that hormonally modulated, habitual unethical behaviour may be a means of achieving relief from psychological distress.

Others have examined neurobiological factors; Raine et al. ( 2012 ) compared 21 WCOs to matched blue-collar offenders, and found that the WCOs had significantly better executive functioning and increased cortical grey matter thickness on magnetic resonance imaging (MRI) in certain brain regions (the ventromedial prefrontal cortex, inferior frontal gyrus, somatosensory cortex and temporal-parietal junction). They hypothesised that white-collar criminals have superior cognitive and attentional functioning. Ling et al. ( 2019 ) found an association between higher frontal lobe volume on MRI (localised to the superior frontal and anterior cingulate cortex) and self-reported offending in a community sample. Krokoszinski et al. ( 2018 ) compared 11 WCOs to violent offenders and non-offenders, using electroencephalography (EEG) recordings and hypothetical moral dilemmas. They found that the fraudsters had significantly higher baseline activation of the right anterior insula than violent offenders, and made a higher percentage of utilitarian decisions than both other groups.

Forensic history

Contrary to the perception of WCOs as ‘one shot offenders’ (Perri, 2011 ), in the 1970s Yale Studies sample (Weisburd et al., 2001 ), over 40% had a prior arrest, and more than a third had a prior conviction. Benson and others (Benson & Kerley, 2001 ; Benson & Moore, 1992 ) reported similar results for a study of 2643 WCOs in the 1970s; 39% had prior arrests. Walters and Geyer ( 2004 ) found that 23/57 (40%) white-collar inmates had at least one prior arrest. Van Onna et al. ( 2014 ) reviewed 644 WCOs in the Netherlands; 22% had been incarcerated by age 18. In a sample of 74 Portuguese WCOs, 59.5% had a previous criminal conviction, not statistically different from violent offenders, including in the nature of past offending (Ribeiro et al., 2019 ).

Interestingly these prior arrests and convictions are often not for WCC. Van Onna et al. ( 2014 ) found that a quarter had committed violent offences, a quarter property offences, almost a fifth drug offences, almost a third traffic offences and two fifths other types of non-WCC offences. Their 644 WCOs could be categorised based on criminal careers into two low-frequency groups making up 78% of cases (labelled ‘stereotypical white-collar offenders’, SWO, and ‘adult onset’, AO), and two high-frequency groups making up 22% of cases (labelled ‘adult persisters’, AP, and ‘stereotypical criminals’, SC). The 39% who were SWO were usually specialists in WCC with only about one in 10 committing non-WCOs. But over half of the AO and all high-frequency cases (AP and SC) had committed non-WCOs. Walters and Geyer ( 2004 ) found that WCOs with histories of committing non-WCC had higher levels of criminal thinking, criminal identification and deviance than those who only committed WCC. In this regard they were very similar to non-WCC offenders. These studies highlight the heterogeneity of WCOs with regard to criminal careers and the substantial overlap between WCOs and non-WCOs.

Mental illness

There has been very little research into the prevalence of mental illness in WCOs. There is a general assumption that WCOs do not suffer from mental illness (Alalehto, 2015 ; Heath, 2008 ) and are ‘basically normal people who do not suffer from the psychological or personal pathologies that seem so common among street offenders’ (Benson, 2013 , p. 324). However, this area is ‘woefully understudied’ (Perri et al., 2014 , p. 83).

Poortinga et al. ( 2006 ), in a retrospective review of court-ordered psychiatric evaluations of white-collar defendants over a 12-year period, found only 73 out of 29,310 referrals for white-collar charges. They compared this sample to 73 controls matched on year of offence, and found that there were no significant differences in mood disorders (their outcome of interest) between the samples once other factors such as race, education and substance abuse were controlled for, although there were lower rates of substance use in the white-collar group. None of the white-collar defendants were recommended as not guilty by reason of insanity, and only one of the control group.

Collins and Schmidt ( 2006 ) compared 365 WCOs with a non-offender sample in upper-level positions of authority, and found higher levels of anxiety on the California Psychology Inventory (CPI) in the offender group. Ragatz et al. ( 2012 ) compared 39 white-collar-only, 88 white-collar-versatile (previous non-white-collar convictions) and 86 non-WCOs. They found no significant differences between groups on depression or anxiety scales, although they did find significantly more anxiety-related disorders (e.g. phobias, obsessive-compulsive disorder, posttraumatic stress disorder) in the white-collar versatile sample, approaching significance in the white-collar-only group. The white-collar-only offenders had lower scores on drug problems. Benson and Moore ( 1992 ) reviewed 2462 convicted WCOs and found that only 6% of WCOs had previously used illegal drugs, compared to almost half of non-WCOs, with low rates of problematic alcohol use in both groups.

The association between gambling disorders and WCC has been another focus of research (Adolphe et al., 2019 ). Problem-gambling has been cited as a motivation for WCC (Banks & Waugh, 2019 ; Binde, 2016 , 2017 ; Laursen et al., 2016 ). However, the association between problem-gambling and WCC may disappear after controlling for other factors, such as gender, age, sociodemographic factors, substance use, juvenile delinquency and low self-control (Dennison et al., 2021 ; Lind et al., 2021 ).

Psychological explanations

There have been a number of proposed psychological explanations (Severson et al., 2019 ). Brody et al. ( 2020 ) suggested that negative childhood experiences, such as an emotionally invalidating environment, can lead to fraud later in life, although concluded that more research was needed. Case reports have taken a psychodynamic approach (Brottman, 2009 ; Naso, 2012 ), exploring the psychodynamics of integrity and emotional conflict around corporate success and failure. Gottfredson and Hirschi’s ( 1990 ) General Theory of Crime links WCC to low self-control. However, later studies challenged this model, reporting that indicators of low self-control are not related to WCC (Benson & Moore, 1992 ; Simpson & Piquero, 2002 ). The General Strain Theory (Agnew, 1992 ) suggests that psychological stressors can increase the likelihood of offending, including WCC (Agnew, 2001 ; Agnew et al., 2009 ; Langton & Piquero, 2007 ). There have been a number of theories emerging from Rational Choice Theory, suggesting that offenders commit WCC if they estimate the benefits to outweigh the risk (Paternoster & Simpson, 1996 ; Shover & Hochstetler, 2005 ). WCOs have also been found to perceive their offending as non-criminal and use neutralisation techniques to legitimise their behaviour (Dhami, 2007 ; Piquero et al., 2005 ; Severson et al., 2019 ), although justification, minimisation and denial are not unique to WCOs. WCOs are less likely to identify as a criminal (Walters & Geyer, 2004 ). Piquero (2004, 2012 ) found that fear of potential losses predicts the decision to engage in WCC.

Others have highlighted the importance of the leadership role – for example, ‘financial super-predators’ – who perpetuate large-scale fraud and cause significant systemic damage to the economy (Black, 2005 ). Biggerstaff et al. ( 2015 ) found that firms managed by CEOs with ‘questionable ethics’ were more likely to engage in financial-reporting fraud. Informal sanctions and perceived attitudes of colleagues may be more effective at constraining deviant behaviours than formal sanctions (Hollinger & Clark, 1982 ; Piquero et al., 2005 ).

Other theories fall under the umbrella of Social Learning Theory; individuals learn criminality from symbolic interactions, observation and modelling of co-workers (Pratt et al., 2010 ; Sutherland, 1983 ). Subcultural theories (Apel & Paternoster, 2009 ) suggest that some organisations develop subcultures with norms of misconduct, and individuals learn to commit crime via their association with this subculture. Van Onna and Denkers ( 2019 ) highlighted weak social bonds as a causal factor.

Recently Curnow ( 2021 ) proposed a psychological theory of embezzlement, breaking down the crime into four stages: pre-existing vulnerabilities, induction to first theft, ongoing theft and detection to resolution. His model emphasised the interaction between the embezzler’s developing psychological processes and environmental context, including security, culture and financial circumstances.

Personality

The role of personality factors in WCC was discounted by Sutherland and largely ‘discarded’ by researchers (Feeley, 2006 ) in the latter half of the twentieth century, or treated as ‘completely irrelevant’ (Alalehto, 2003 ), and ignored (Perri, 2011 ). Coleman stated ‘[it] is generally agreed that personal pathology plays no significant role in the genesis of white-collar crime’ (Coleman, 2005 , p. 184), which may not accord with subsequent genetic findings. However, there has been renewed interest in this topic over recent decades, and some research has begun to emerge in offender samples (Alalehto, 2003 ; Blickle et al., 2006 ; Collins & Schmidt, 2006 ; Kolz, 1999 ; Nee et al., 2019 ; Ribeiro et al., 2019 ) and non-offender samples (De Vries et al., 2017 ; Piquero et al., 2005 ; Turner, 2014 ). These studies are outlined in Tables 1 and ​ and2 2 , and in Simpson ( 2019 ). In brief, there are conflicting results regarding conscientiousness, desire-for-control and self-control, depending on the methodology used, and a lack of other major findings. There have also been a number of typologies of WCOs proposed (Bucy et al., 2008 ; A. Kapardis & Krambia-Kapardis, 2004 ; M. K. Kapardis, 1999 ; Van Onna et al., 2014 ; Weisburd et al., 2001 ), summarised in Table 3 . These discrepancies are due in part to varying thresholds of how white-collar samples are identified and defined, but the typologies highlight the heterogeneity of WCOs.

Studies of p ersonality and WCC in offender samples.

Note: WCC = white-collar crime; WCO = white-collar offender; DSM–III = Diagnostic and Statistical Manual of Mental Disorders–Third Edition.

Studies of personality and WCC in non-offender samples.

Note: WCC = white-collar crime; BFI = the Big Five Inventory; HEXACO -PI -R = The HEXACO Personality Inventory-Revised.

Typologies of WCOs.

Note: WCC = white-collar crime; WCO = white-collar offender.

Psychopathy

The link between psychopathy and workplace malfeasance has been another area of interest (Babiak et al., 2007 ; Boddy, 2015 ; Cleckley, 1976 ), although some have argued that ‘psychopathy can be safely ignored in the attempt to predict white-collar crime’ (Blickle et al., 2006 , p. 223). Higher rates of psychopathy have been found at senior levels of organisations, between 4% and 20% (Boddy, 2015 ; Fritzon et al., 2016 ; Howe et al., 2014 ), the so-called ‘successful psychopath’ (Howe et al., 2014 ), ‘corporate psychopath’ (Fritzon et al., 2020 ) or ‘snakes in suits’ (Babiak et al., 2007 ). Associations between psychopathic traits and attitudes supportive of WCC have been found in undergraduate students (Ray & Jones, 2011 ) and online surveys (Lingnau et al., 2017 ). However, a direct link between psychopathic traits and WCC has yet to be empirically established, and remains theoretical (Perri, 2011 ). It has been suggested that ‘corporate’/‘successful’ psychopathy may be associated with Factor 1 psychopathy (Hare et al., 1990 ; including interpersonal manipulation and callous affect), but not with Factor 2 psychopathy (erratic lifestyle and anti-social tendencies; Boddy, 2011 ; Lingnau et al., 2017 ). One possibility is that corporate psychopaths engage in misconduct that does not violate criminal law, but still causes widespread harm (Boddy, 2011 ; Passas, 2005 ). Overall, this area remains under-researched (Boddy, 2015 ).

The link with violent offending

Although WCC is conceptualised as non-violent, recent research has suggested a subtype of violent WCOs, so-called ‘red collar’ criminals (Brody & Kiehl, 2010 ; Friedrichs, 2009 ). Perri and Lichetenwald ( 2007 , 2008 ) suggested that WCOs may commit instrumental homicide/attempted homicide to conceal their crime, including ‘murder-for-hire’ cases. Perri gives 28 examples of ‘red collar’ homicide cases (Perri, 2015 ) and an additional nine attempted-homicide cases. He raises the role of narcissism and psychopathy in these ‘red collar’ criminals (Perri, 2011 , 2015 ), although this has subsequently been challenged (Alalehto & Azarian, 2018 ).

The intersection between organised crime and WCC (Edwards & Gill, 2002 ; Kleemans & Van de Bunt, 2008 ) is fuzzy (Huisman, 2019 ; Naylor, 2017 ) and another area where violence occurs (Kendall, 2010 ). Organised crime groups may require the skills of WCOs, such as money laundering (Huisman, 2019 ), and the revenues of organised crime often cannot be separated from those of WCC by investigators (Ruggiero, 2017 ). Further, WCO offending can result in physical injury and death through criminal corporate negligence (Cohen, 2016 ; Croall, 2016 ). As highlighted above, studies have found that a quarter of WCOs commit violent offences that may be unrelated to WCC (Van Onna et al., 2014 ). So, overall, we should not assume that WCOs are non-violent (Perri & Brody, 2011 ).

The heterogeneity of WCOs

WCCs include a range of offences. For example, the offences included in the studies of Wheeler et al. ( 1987 ) included antitrust offences, securities fraud, mail fraud, false claims, bribery, income tax fraud, lending and credit fraud, and bank embezzlement. Considering offenders who commit these offences as one group may obscure characteristics of those who commit particular types of WCCs. For example, antitrust offenders have been found to be quite different in terms of demographics and offending histories from mail and wire fraud offenders, with the latter group similar to non-WCOs (Weisburd et al., 2001 ). So, it may not be that some WCOs of any type overlap with non-WCOs, but that certain groups of WCOs overlap with non-WCOs.

The WCO in the legal system

Only a small percentage of identified WCCs are prosecuted by the criminal justice system (Friedrichs, 2009 ; Gottschalk, 2021 ). Many investigations are done internally or privately by law firms or fraud examiners; reports are never made public and/or subject to attorney–client privilege (Gottschalk, 2017 ). Several factors deter prosecutors from pursuing white-collar cases (Benson & Cullen, 1998 ); prosecution of WCC is time and resource heavy, and more likely to take place in an administrative or civil capacity than in a criminal court (Marriott, 2018 ). Those cases that do reach the criminal justice system have a high probability of a guilty plea to avoid an expensive trial (Weidenfeld & Spire, 2017 ).

Braithwaite ( 1982 ) argued that a ‘just’ system would result in WCOs making up the majority of the prison population, noting that ‘just desserts for the powerless, and comparative lenience for the powerful, is not just desserts at all’ (p. 761). The Yale Studies found that WCOs were treated favourably during the presentence stages, as prosecutors engage in negotiations with defence attorneys (Mann, 1985 ; Wheeler & Rothman, 1982 ), although more recent research has suggested that this may be changing (Galvin & Simpson, 2019 ). Some advocate for WCOs ‘voluntarily’ repaying their victims, in favour of custodial sentences. This has led to concerns that WCOs can ‘buy their way’ out of prison, although others have argued that voluntary restitution provides the best outcome for victims (Faichney, 2014 ).

Watkins ( 1977 ) noted that juries are reluctant to convict WCOs, even when the law has been clearly violated. Jurors are influenced by underlying racial assumptions; mock jurors are more lenient on black WCOs than white ones, although black conventional offenders are punished more harshly (Gordon, 1990 ; Gordon et al., 1988 ). Although female offenders generally receive lighter sentences than males (Van Slyke & Bales, 2013 ), in some cases the reverse may be true (Etgar et al., 2019 ). Cox et al. ( 2016 ) found juries more likely to recommend harsher sentences for WCOs perceived as remorseless and lacking empathy. Filone et al. ( 2014 ) found that a personality disorder diagnosis was less influential on mock jurors’ sentencing decisions than for violent crime.

Despite recent legislative changes aimed to increase penalties for WCC, lower court judges have been found to make significant ‘downwards departures’ from sentencing guidelines (Ford, 2008 ). Wheeler et al. ( 1988 ) interviewed 51 federal judges in the USA, and found a general belief that WCOs do not reoffend, getting caught is sufficient deterrent, WCOs have ‘more to lose’, and more weight is given to the impact on dependents. These attitudes, in combination with judges’ greater empathy with offenders with similar backgrounds and lifestyles, may lead to the observed disparity in sentencing outcomes.

Considering the sanctioning of WCOs, outcomes may be affected by indirect impacts other than conviction and punishment, such as media coverage, loss of status and opportunity to work in particular areas (Button et al., 2018 ). These may contribute to subsequent mental health problems.

Experiences in prison

A commonly-held belief is that WCOs are particularly vulnerable to the negative effects of incarceration, referred to as the ‘ special sensitivity hypothesis ’ (Hunter, 2019 ; Logan et al., 2019 ; Stadler et al., 2013 ). Advocates of this position suggest that prison is particularly shocking for WCOs, and they will have greater difficulty adapting to prison life than street-level offenders (Payne, 2003 ; Pollack & Smith, 1983 ; Wheeler et al., 1988 ). Payne ( 2003 ) described the “six Ds” of white-collar incarceration: depression, danger, deviance, denial, deprivation and doldrums. Entry into prison is a common feature of autobiographical writing by WCOs (Hunter, 2019 ), which involves ‘status degradation ceremonies’ (Garfinkel, 1956 ; Watkins, 1977 ).

However, despite this presumed vulnerability, until recently there have been no empirical studies. WCOs are almost always sent to minimum security prisons (Friedrichs, 2009 ). Stadler et al. ( 2013 ) reviewed data gathered on 78 WCOs, including offender interviews, administrative records and prison-staff observations. They found that WCOs were less likely to experience general difficulties in prison than the non-WCO group, were more likely to make friends and were no more likely to have concerns for their personal safety, trouble sleeping or problems with current or former cellmates. Crank and Payne ( 2015 ) compared 116 incarcerated WCOs to 6510 other inmates, and found WCOs were no more likely to have mental health interventions and were less likely to receive psychiatric medications than violent inmates. Logan et al. ( 2019 ) used survey data to compare WCOs (using two definitions, one offence based, N  = 932, and one socioeconomic status based, N  = 132) to non-WCOs. They found no statistically significant differences for either white-collar group in self-reported negative affect or mental health treatment in prison, and socioeconomic status (SES) WCOs were significantly less likely to report feeling hopeless. They suggested that these findings provided support for the ‘ special resiliency hypothesis ’; WCOs have better emotional regulation, avoid confrontation and can ingratiate themselves to prison-staff and other inmates. Button et al. ( 2018 ) found some positive prison experiences, including helping others, improving health/fitness and new friendships. It is likely that WCOs cope with prison better because they are generally older, better off financially and have more stable relationships and social circumstances than other offenders.

Convicted WCOs in the community

Home detention is increasingly used for WCOs (Friedrichs, 2009 ). However, community supervision is seen by most probation officers as ‘going through the motions’ (Benson, 1985 ). Convicted WCOs tend to reject a criminal identity (Hunter, 2019 ). Mason ( 2007 ) interviewed 35 WCOs and found they viewed supervision as ‘demeaning and demoralising paperwork’. Murphy and Harris ( 2007 ) used survey data from 652 tax avoiders, and found that those who perceived their treatment as less stigmatising were less recidivist.

Convicted WCOs have better odds of regaining stable employment than street-level offenders, although multiple prior arrests and incarceration before age 24 decreases those odds (Kerley & Copes, 2004 ). Benson ( 1984 ) found that professionals and licensed occupations (such as medicine and law) and those employed in the public sector were much more likely to lose occupational status after a conviction than those in private business. Button et al. ( 2018 ) interviewed 17 convicted WCOs in the UK post release, and found that this period may prove to be more challenging than prison itself, with 41% accessing mental health treatment, and three WCOs requiring psychiatric admission.

Despite a general perception that WCOs are unlikely to reoffend, a significant proportion commit further crimes after conviction, with similar recidivism rates to those of robbery and firearm offenders (Perri, 2011 ). A total of 683 forgers, compared with burglars and car thieves over a 14-year period, had higher rates of parole violations and revocation (McCall & Grogan, 1974 ). The Yale sample had an overall recidivism rate of 29%, with no difference between those who were incarcerated and those who were not (Weisburd et al., 1995 ). Listwan and colleagues (Listwan et al., 2010 ) followed 64 convicted WCOs over 10–12 years, and found that 53% were arrested at least once, with ‘neurotic-type’ personality (using the Jesness Inventory) as a significant risk factor for reoffending. Harbinson et al. ( 2019 ), using data on 31,306 white-collar offenders under supervision, found that 7.8% had their supervision revoked (re-arrest data were not available); of the 2.2% classified as high risk on the Federal Post-Conviction Risk Assessment (a measure not specific to WCC), the reoffending rate was around half. Goulette ( 2020 ) suggested that gender may play a role in recidivism risk, as women score lower on general risk assessment tools. However, it is unclear whether general risk assessment tools are valid in the assessment of WCOs and whether psychiatric factors are risk factors for recidivism.

In summary, the reasons for white-collar recidivism are not well understood, and risk factors have not been studied separately from factors common to all crime. Convicted WCOs (who represent a small and arguably atypical proportion of WCOs) may need higher post-release support than they receive, to prevent reoffending and improve their well-being and successful re-integration into society, an area where high-quality mental health support could play a significant role. There may be risk factors beyond the common factors for criminal/violent reoffending that are relevant to WCC, such as anxiety-related disorders, cognitions related to offending including self-identity and neutralisation, a history of non-aggressive rule breaking, or financial responsibilities to dependents, although these are yet to be established.

Limitations

This study had several limitations. Due to the diverse terminology and non-medical academic focus of the literature, some publications may have been missed, along with non-published material and other potentially relevant grey literature. Given the breadth of the topic and the different aspects to WCC, there are undoubtedly many other topics relevant to forensic psychiatry that have not been included, such as wrongdoing at the level of the corporation (rather than by individuals) and legal aspects.

Implications

There are clearly many gaps in the understanding of WCC and WCOs, particularly with respect to factors of relevance to forensic psychiatry. We are of the view that forensic psychiatry can contribute to filling these research gaps in a number of ways, and therefore contribute to the multi-disciplinary understanding of WCC. Forensic psychiatrists also have a clinical role to play in the assessment and treatment of WCOs.

Research implications

A recent edited volume on forensic neuroscience (Beech et al., 2018 ) highlighted the significant contribution that neurobiology can make to understanding offending behaviours, the conditions that underpin such behaviours and interventions for these behaviours. However, WCC did not feature, and a chapter on deception (Vendemia & Nye, 2018 ) was of limited relevance to WCC, although manipulation and deception seem to play a key role in WCC. The neurobiological understanding of psychopathy is quite well developed (Glenn & Raine, 2014 ). Research on the neurobiology of deception and psychopathy may inform the understanding of the genesis of WCC, and such research could be conducted on WCOs. Neurobiological research on WCOs is very rare compared to that on violent and sexual offenders.

Research on offenders with different trajectories and criminal careers has highlighted developmental and psychopathological differences between those who persist and those who desist (McGee & Moffitt, 2018 ). Such psychopathological differences may be relevant to WCOs, and research comparing one-off WCOs, recidivist WCOs, diverse offenders who commit non-WCC as well as WCC, and non-WCOs may help in the understanding of the personality and developmental factors predisposing to these different trajectories. Research ascertaining the rates of mental illnesses, personality disorders and psychopathy in WCOs could help with understanding such offenders but also to know what their mental health needs are. Violence may be linked to WCC in different ways. One important factor in understanding this relationship, given the relationship between various mental disorders and violence (Sariaslan et al., 2020 ), could be psychopathology. Studies of the psychopathology and mental health of WCOs both before and after sanctioning and subsequently would help with understanding the development of mental health difficulties seen in WCOs and their relationship to punishment, imprisonment, loss of status and other factors. Research on the relationship between mental health conditions and reoffending, and whether mental health treatment reduces reoffending, would help in understanding the potential role forensic mental health services could play in the rehabilitation of WCOs.

Given the impact of WCC and the recidivism rates, which are higher than those for sexual offenders and similar to those for violent offenders, there is a need for methods of identifying offenders who are more likely to recidivate. There are a number of instruments that have been validated in the prediction of general and violent recidivism (Douglas & Otto, 2020 ). Research should be undertaken to ascertain whether such instruments have predictive validity for WCOs. Instruments for general recidivism emphasise antisociality and social instability and may not cover factors of relevance to WCC. There may be other factors that need to be considered as well as, or instead of, such factors. Some of these may be psychopathological in nature, for example Factor 1 psychopathy. To assess risk of recidivism it is likely that an approach considering both the uniqueness of WCC and commonalities with other offending will be required. This is analogous to what we know about risk assessment for sex offending, stalking and intimate partner violence (Douglas & Otto, 2020 ), where some factors are common to all types of interpersonal violence offending (e.g. history of violence and antisociality), while others (e.g. sexual deviance for sexual offenders) are unique to specific groups. Understanding the role of mental health as a dynamic factor in precipitating offending and in desistance could help determine the role of mental health in risk assessment and management.

Clinical implications

Forensic psychiatrists tend to focus on violent mentally disordered offenders, and most will be unaware of the aspects of WCC and WCOs summarised in this review. So forensic psychiatry as a clinical specialty has little to do with WCOs and little understanding of such cases. This lack of involvement and non-evidence-based assumptions about WCOs may perpetuate the notion that forensic psychiatry has little to offer. However, this review challenges this.

One fundamental clinical implication that arises from this review goes to the very nature of the practice of forensic psychiatry. Forensic psychiatrists focus their clinical work on individuals with mental health conditions who commit interpersonal violence rather than ‘general offenders’. Given the impact of WCC, the recidivism rates of WCOs, the link with violent crime and the similar rates of mental health conditions, it could be argued that forensic mental health services should be more involved in the treatment and management of WCOs.

Psychiatrists undertaking assessments for courts need to know that recidivism is no less common in WCOs, they are often not specialists, and psychopathology may be relevant to their offending. The countertransference of psychiatrists to WCOs may be different from that for other offenders as they are more likely to have similar demographics. This may impact judgments about the presence and role of psychopathology, perceptions of risk and approaches to intervention. The mental health of WCOs subsequent to sanctioning and/or release may be relevant to several outcomes including the well-being and social functioning of the WCO, risk of suicide and risk of recidivism.

Conclusions

Despite its fuzzy borders, and although it does not generate the same public outrage and opprobrium as violent or sexual offending, WCC falls squarely within the realms of criminal behaviour, mental health and the legal system, with a high cost to victims and society. There has been a general neglect of WCC in the field of academic forensic psychiatry. The relationship between psychopathology, personality factors, other psychological factors and WCC has been poorly studied, and needs further exploration. Even though the vast majority of WCOs may turn out to be psychiatrically ‘well’, this has yet to be established, and the post-release period may be one of particular vulnerability. Other areas that could benefit from further study include: predisposing factors for WCC (such as personality and psychopathy, a history of non-criminal unethical behaviour/boundary violations), precipitating factors (psychosocial or financial stressors), and the role of notoriety and fear of retribution as barriers to reintegration to the community. Psychiatry has a particular role to play in understanding the role of psychopathology and mental health in predisposing to, precipitating, perpetuating and desisting from WCC.

Doctors share high levels of societal trust, respectability and similar socioeconomic and educational backgrounds with WCOs (including offenders within the medical profession itself), which may lead to bias in the average psychiatrist, as has been proposed for sentencing judges (Wheeler et al., 1988 ). There may be a reluctance to pathologise people with whom we can more easily identify, and to locate the causes of their offending in external factors. It is time to start grappling with these issues.

There are several ways in which forensic psychiatry may contribute meaningfully to the field of WCC. Forensic psychiatrists can offer valuable insights into the role of psychopathology in sentencing (particularly in jurisdictions where personality disorder is accepted as a mitigating factor, such as Victoria), treatment and management of WCOs, and understanding the meaning of WCC is helpful in clinical practice and assessment. It is surprising, given the degree of victimisation, societal harm and recidivism rates, that there are no validated risk assessment tools specific to WCC, and this is an area where forensic psychiatry may be able to provide expertise and guidance. In light of the growing public discourse about WCC and issues such as tax avoidance by wealthy individuals and banking irregularities, our understanding and response to this behaviour should be based on sound theory and evidence, rather than assumptions.

Database search terms

The search terms for each database were as follows:

PsychNet search terms: ‘white collar crim*’ OR ‘financial crim*’ OR fraud OR Ponzi OR embezzlement OR bribery OR ‘wage theft’ OR racketeering OR laundering OR forgery  AND  Psych*  OR mental  OR personality  AND demographics AND characteristics. This search generated 2174 results.

EbscoHost Health business elite, Psychology and Behavioral Sciences Collection search terms: ‘white collar crim*’ OR ‘financial crim*’ OR fraud OR Ponzi OR embezzlement OR bribery OR ‘wage theft’ OR racketeering OR laundering OR forgery AND Psych* OR mental OR personality OR demographics OR characteristics. This search generated 397 results.

Pubmed search terms: (psychology OR psychiatry OR mental OR personality OR demographics OR characteristics) AND (white collar crime OR white collar criminal OR financial crime OR fraud OR ponzi OR embezzlement OR bribery OR racketeering OR laundering OR forgery). This search generated 744   results. In Pubmed, the following terms were also applied as exclusion terms, to reduce the large number of irrelevant results regarding industrial cleaning (from the search term ‘laundering’) and the psychological concept of imposter syndrome (from the search term ‘fraud’): NOT (microbial OR microbes OR bacterial OR clothing OR attire OR laundry OR impostor OR washing machine).

Ethical standards

Declaration of conflicts of interest.

Rose Clarkson has declared no conflicts of interest

Rajan Darjee has declared no conflicts of interest

Ethical approval

This article does not contain any studies with human participants or animals performed by the authors.

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In This Article Expand or collapse the "in this article" section White-Collar Crime

Introduction, introductory works.

• General Overviews
• Data Sources
• Defining White-Collar Crime
• Corporate Crime
• Women and White-Collar Crime
• Theoretical Perspectives
• Estimating the Costs
• Crime Control and Prevention

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• Costs of Crime and Justice
• Critical Criminology
• Edwin H. Sutherland
• Environmental Crime and Justice
• Green Criminology
• Healthcare Fraud
• Measuring Crime
• Middle-Class Crime and Criminality
• Money Laundering
• Property Crime
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White-Collar Crime by Sally S. Simpson LAST REVIEWED: 14 December 2009 LAST MODIFIED: 14 December 2009 DOI: 10.1093/obo/9780195396607-0020

The meaning and definition of white-collar crime is deeply contested. Most criminologists recognize that white-collar crime is different from traditional “street” crime. Disagreements center on the scope of the behavior and who, ultimately, is classified as a white-collar offender. Generally, white-collar crimes are offenses conducted by guile or concealment that involve “upper world” offenders. Broad definitions of white-collar crime can include harmful acts which are not illegal (deviance) to more narrow definitions that are tied exclusively to violations of criminal law. Depending on which definition is used, white-collar offenders may include governments, businesses, chief executive officers, professionals, welfare cheats, and individuals who illegally download software or purposefully underreport income on their taxes.

Disagreements about what white-collar crime is and how it should be studied have been part of the criminological landscape since Edwin Sutherland first called attention to crimes by persons “in the upper or white-collar class, composed of respectable or at least respected business and professional men” ( Sutherland 1940 , p. 1), and contrasted these offenders and offenses with those concentrated mainly in the lower classes. Later, in a systematic study of crimes by corporations, Sutherland offered a formal definition of white-collar crime as “a crime committed by a person of high social status and respectability in the course of his occupation” ( Sutherland 1949 , p. 9). Sutherland’s approach to white-collar crime challenged conventional wisdom about the characteristics of crime and criminals, existing theories about the purported causes of crime, and the relative importance of criminal versus other systems of justice processing (such as regulatory and civil justice systems). Although legal scholars in particular objected to Sutherland’s ideas—especially Paul Tappan (see Tappan 1947 )—the term “white-collar crime” has been readily adopted into the vernacular of criminology.

Sutherland, Edwin H. 1940. The White-collar criminal. American Sociological Review 5:1–12.

DOI: 10.2307/2083937

Sutherland’s presidential address to the American Sociological Association. He asserts the importance of white-collar crime and the need for further social scientific consideration.

Sutherland, Edwin H. 1949. White collar crime . New York: Dryden.

One of the first systematic treatments of crimes by business and the application of differential association as a theoretical framework to account for these crimes.

Tappan, Paul W. 1947. Who is the criminal? American Sociological Review 12.10: 96–102.

In a legal critique of Sutherland’s definition of white-collar crime, Tappan asserts that for an act to be considered a crime, there must be a violation of criminal law, a guilty finding in a criminal court, and punishment levied for that violation. Available online .

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The Oxford Handbook of White-Collar Crime

Shanna R. Van Slyke is Assistant Professor of Criminal Justice in the Department of Economic Crime and Justice Studies at Utica College, NY.

Michael L. Benson, PhD, is Professor of Criminology and Director of the Center for Criminal Justice Research at the University of Cincinnati.

Francis T. Cullen, PhD, is Distinguished Research Professor Emeritus of Criminal Justice and Senior Research Associate at the University of Cincinnati.

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This Handbook brings together the accumulated wisdom of a diverse group of leading scholars on white-collar crime and corporate crime. It begins with an overview of the core themes in the study of white-collar crime. Ensuing chapters explicate the definition of white-collar crime, illuminate the distinguishing demographic, social, and psychological characteristics of white-collar offenders, and carefully dissect the social and economic costs of this form of crime. International in focus, the volume includes incisive analyses of a broad range of white-collar crimes and represents a major advance in white-collar criminology. Cutting-edge criminological theories, ranging from rational choice and opportunity to culture and the life-course perspective, are applied. The political dimensions of white-collar crime are explored through a review of research on public opinion on white-collar crime and punishment and through analyses of the politics of regulation and the difficulties of securing corporate compliance. The theoretical perspectives and empirical evidence regarding alternative white-collar crime control policies are analyzed. These policies that range from responsive regulation to deterrence through criminal sanctioning. Overall, this volume presents a sophisticated analysis of the multifaceted problem of white-collar crime and white-collar crime control, as well as a comprehensive overview of theory and empirical research in this area.

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Digitisation of Financial Markets: A Literature Review on White-Collar Crimes

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• First Online: 16 July 2021
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• Raji Pillai   ORCID: orcid.org/0000-0002-5439-803X 26 &
• M. Lokanadha Reddy   ORCID: orcid.org/0000-0002-2613-0028 26  

Part of the book series: Advances in Science, Technology & Innovation ((ASTI))

This is an empirical study which describes the financial issues with an increasing usage of the virtual currency in the present situation. With the introduction of the democratising, the influence of the ICT and its effect involved in various aspects of our lives like the economic, political, and the societal requirements. The financial frauds in various forms and its impact on financial market had been identified in the earlier research. The economic structure of the markets has been facilitating these. The frauds in the financial sector are identified as the lending frauds, identity frauds, and the investment frauds. The financial frauds are purely dependent on the market segmentation and the involvement of the various market instruments. The present study is carried out to understand the recent developments happening in the field of financial frauds, various developments like the free entry exit of participants, global currency involvement, increasing types of transactions in the financial sector, and the financial innovations involving technological and legal aspects. Technical problems in maintaining the secrecy and confidentiality of the dealings of the banking transactions. The present study tries to connect the different types of financial crimes to the facilities brought in by the ICT, and it needs more attention and more transparency to fight the white-collar crimes.

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Almiron, N. (2007). Icts and financial crime: An innocent fraud? International Communication Gazette, 69 (1), 51–67. https://doi.org/10.1177/1748048507072779 .

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Gottschalk, P., & Gunnesdal, L. (2018). White-collar crime in the shadow economy: Lack of detection, investigation and conviction compared to social security fraud. White-Collar Crime in the Shadow Economy: Lack of Detection, Investigation and Conviction Compared to Social Security Fraud . ISBN 978-3-319-75292-1,1–155. https://doi.org/10.1007/978-3-319-75292-1

Graham, M. (2012). White collar crime and the United States’ Economy. University of New Hampshire Scholars’ Repository, 49 , 5–55. https://scholars.unh.edu/honors%0Ahttps://scholars.unh.edu/honors

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Martinez, J. P. (2014). Digital commons @ EMU unpunished criminals: The social acceptability of white collar crimes in America recommended citation (Vol. 11, Issue 4, 2016). https://commons.emich.edu/honors/382 .

Rashad Yazdanifard, W. F. (2011). Electronic banking fraud; the need to enhance security and customer trust in online banking. International Journal in Advances in Information Sciences and Service Sciences, 3 , 505–509.

Rivera, K. (June, 2020). Fighting fraud: A never-ending battle. PwC’s Global Economic Crime and Fraud Survey 2020 (Survey Report).

Scholars, J. W., & Soley, S. (2017). Scholarly commons white collar crime: The role of the firm in occupational crime (Vol. 35, pp. 5–24). https://repository.upenn.edu/joseph_wharton_scholarshttps://repository.upenn.edu/joseph_wharton_scholars/35

The definitive overview of payment industry fraud. (2019). Fraud the fact 2019 UK .

Wang, J. H., Liao, Y. L., Tsai, T. M., & Hung, G. (2006). Technology-based financial frauds in Taiwan: Issues and approaches. In Conference Proceedings—IEEE International Conference on Systems, Man and Cybernetics , November 2006 (Vol. 2, pp. 2–6).

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Raji Pillai & M. Lokanadha Reddy

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Pradeep Kumar Singh

Wroclaw University of Economics, Jan Wyzykowski University in Polkowice, Polkowice, Poland

Zdzislaw Polkowski

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Sudeep Tanwar

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Pillai, R., Lokanadha Reddy, M. (2021). Digitisation of Financial Markets: A Literature Review on White-Collar Crimes. In: Singh, P.K., Polkowski, Z., Tanwar, S., Pandey, S.K., Matei, G., Pirvu, D. (eds) Innovations in Information and Communication Technologies (IICT-2020). Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-66218-9_7

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