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The purpose of this paper is to investigate how accounting is used to disguise and carry out money laundering activities in specific socio-economic and political contexts and whether discretionary accruals can provide evidence of such illicit practices performed through legally registered Mafia firms (LMFs).

The study is based on a sample of 224 Italian firms identified as LMFs, due to having been confiscated by judicial authorities because of their owners being accused of Mafia-type association. Using a multivariate regression model, specifically developed discretionary accrual proxies for LMFs are compared with those of a population of lawful firms (LWFs).

The results reveal that in the pre-confiscation years, LMFs manage aggregate, revenue and expense accruals more than LWFs do, in order to smooth earnings and disguise/carry out money laundering. In contrast, in the post-confiscation years, there is no significant difference in the level of accrual management between LMFs and LWFs, as a consequence of the effective intervention of legal administrators.

This study adopts discretionary revenue and expense accrual proxies that provide additional insight into the simultaneous manipulation of revenues and expenses, linked to money laundering, which may not be fully detected by traditional aggregate accrual models. Furthermore, it suggests that the incentive for LMFs to manage accruals may be fostered by the irrelevance of their financial statements to trades with stakeholders. Finally, this paper may provide regulators with financial accounting signals which could be included in risk assessment models aiming to detect money laundering activities within firms.

Scholarly interest in the business effects of organised crime (OC) has recently increased. This study aims to conduct a systematic literature review (SLR) on the conditions under which OC could pose a threat to or take control of firms within a particular context.

We use narrative synthesis and thematic analysis, with a sample of 46 theoretical and empirical studies published over the past 30 years on the relationship between OC and firms within the disciplines of Business, Management and Accounting (BMA).

SLR and thematic analysis show that scholarly interest has focused on four key domains: OC as a firm, the impact of OC on firms, firms’ efforts to counter OC’s influence and governmental interventions. Using medical metaphors, we also develop a diagram depicting the interplay between OC and firms within the BMA literature.

This study contributes to the literature shaping an agenda to steer future research towards these four key themes. The effectiveness of anti-OC tools and measures depends on a thorough understanding of local norms, behaviours and business practices. In addition to measurement and methodological challenges, several grey areas remain, including the distinction between criminal enterprises and legitimate businesses. Ambiguities also surround the circumstances under which the OC preys upon firms or employs them to establish dominance over a territory.

The main purpose of this paper is to analyze what happens to a business model when the governance of the focal organization changes, particularly when it has to re-shape its transactional network.

The paper reviews literature on governance structure of criminal organizations and uses two case studies to show two different approaches in re-shaping the business transactional network after the seizure from Mafia organization.

The paper finds three different approaches about governance structure in criminal organizations and describes what happens to a business model when the governance of the focal organization changes as is the case of the seizure and confiscation of Mafia businesses. The paper shows that when a judicial administrator is able to effectively build a new transactional network, the business he manages can survive and can also give good performance.

The paper provides two business cases, but this is not enough to give empirical evidence; this could be provided through other case studies or through quantitative methods using surveys or data provided by the Italian courts.

The paper has some potential managerial implications, in particular for the judicial administrator. He should encourage the construction of a new transactional network, first analyzing the existing network, going deeply into the content and the motivators of the relationships with the stakeholders, and deciding if such relationships can be re-formulated or must be left.

The originality of the paper is that it analyzes criminal organizations using well-known approaches, applying them to the case of seized and confiscated business.

This study aims to investigate transition patterns originating from the confiscation of mafia-type firms, examining public administrations and nonprofit organizations' roles.

This study investigates the case of “Calcestruzzi Ericina Libera,” a firm located in Sicily and confiscated from the Mafia in 1996. The analysis covers an extended period (approximately 25 years).

The empirical analysis documents the pivotal role of informal networks, comprising public administrations and nonprofit organizations. Confiscation processes are successful if transition management strategies are governed through a network and a collaborative approach is followed after the confiscation to support the firm.

Mafia-type firms have been examined academically from different perspectives, but few studies have focused on the steps taken after their confiscation.

The purpose of this study is to provide a timely synthesis of the empirical literature focusing on the economic consequences of money laundering, as this topic has been gaining momentum among policymakers and academic researchers due to its adverse effects.

Empirical studies are collected by consulting accounting and finance journals in diverse digital sources (e.g. Science Direct, Blackwell, Taylor and Francis, Springer, Sage and Emerald). Key words used to identify relevant papers include “money laundering” and “anti-money laundering regulations,” with specific focus on the economic consequences. Our search strategy includes 24 published papers over the period of 2018–2023.

Findings show that most studies represent cross-country investigations; the main topics investigated focus on accounting field (e.g. audit fees, real and accrual earnings management), tax evasion, financial stability, sustainability, economic indicators (inflation, economic growth, foreign direct investment) and financial inclusion; and the economic consequences of money laundering have been also examined within banking industry (e.g. banking profitability, banking stability). Reported findings of reviewed studies suggest that money laundering has diverse adverse impacts at the country level (e.g. increased tax evasion, higher inflation rate, less sustainability and foreign direct investments), at the firm level (e.g. increased audit risk and aggressive real and accrual earnings management) and within banking industry through negative impact of money laundering on bank’s loan portfolio quality, stability and profitability.

With respect to policymakers, strengthening anti-money laundering regulations may play a critical role in reducing money laundering activities. Furthermore, financial institutions should implement specific rules dealing with anti-money regulations to ensure adequate compliance and disclosure. Finally, policymakers should be aware about the importance of digital transformation to combat money laundering activities since it facilitates the detection of financial crimes due to their traceability.

The summary of the empirical literature focusing on the economic consequence of money laundering represents a historical record and an introduction for accounting researchers. It also urges them to further explore the economic implications of anti-money laundering disclosure within banking industry.

The purpose of this study is to examine the impact of anti-money laundering (AML) regulations on accrual earnings management (AEM) and real earnings management (REM) in Iran’s emerging capital market.

The panel data regression is used to testing hypotheses. The sample includes 2,020 data and 202 companies listed on the Tehran Stock Exchange (TSE) over a period of ten years from 2012 to 2021. Also, the companies covered in this study include financial and nonfinancial companies. Furthermore, the data related to the research variables were extracted from the annual financial statements and the TSE database.

The results show that compliance with AML regulations leads to a reduction in AEM and REM. In other words, companies with higher money laundering (ML) tend to manage their earnings, which is in line with agency theory.

This study has implication for policymakers and regulators, auditors and managers. Considering the negative impact of AML regulations on earnings management (EM), Iranian auditing firms need to emphasize on the full implementation of AML regulations in TSE. Also, the results of this research may aid policymakers and regulators to detect financial crimes through accounting signals.

To the best of the authors’ knowledge, this is the first study in an Iran capital market to examine the impact of AML regulations on EM in financial and nonfinancial companies. Previous research has not controlled for the effects of financial companies. Prior studies have not examined the effects of financial companies. In addition, this study differentiates itself from previous studies by introducing a new method for measuring the independent ML variable based on auditor opinions. The obtained data can aid international bodies to better understand compliance with ML regulations in Iran and can reduce their concerns in negotiations.

The purpose of this study is to review the literature on money laundering and its related areas. The main objective is to identify any gaps in the literature and direct attention towards addressing them.

A systematic review of the money laundering literature was conducted with an emphasis on the Pro-Quest, Scopus and Science-Direct databases. Broad research themes were identified after investigating the literature. The theme about the detection of money laundering was then further investigated. The major approaches of such detection are identified, as well as research gaps that could be addressed in future studies.

The literature on money laundering can be classified into the following six broad areas: anti-money laundering framework and its effectiveness, the effect of money laundering on other fields and the economy, the role of actors and their relative importance, the magnitude of money laundering, new opportunities available for money laundering and detection of money laundering. Most studies about the detection of money laundering have focused on the use of innovative technologies, banking transactions or real estate- and trade-based money laundering. However, the literature on the detection of shell companies being explicitly used to launder funds is relatively scarce.

This paper provides insights into an area related to money laundering where research is relatively scant. Shell companies incorporated in the UK alone were identified to be associated with laundering £80bn of stolen money between 2010 and 2014. The use of these entities to launder billions of dollars as witnessed through the laundromat schemes and several data leaks clearly indicate the need to focus on illicit financial flows through such entities.

Russia‐related money laundering is often mentioned in the international press and reports of government agencies as a serious problem in international financial and banking security. However, very few publications study the problem in detail. Particularly scarce are those which reveal the roots of the phenomenon, its real spread and relevance, as well as techniques and laundering schemes. Knowledge is also very limited about how Russian authorities and law enforcement agencies are combating the legalisation of illicit funds. The goal of this article is to look at the problem of Russia‐related money laundering comprehensively, offering the reader the vision of someone in the battlefield, rather than that of a detached observer.

The use of models for detecting earnings management in the academic literature, using accrual and real manipulation, is commonplace. The purpose of the current study is to compare the power of these models in a United Kingdom (UK) sample of 19,424 firm-year observations during the period 1991–2018. The authors include artificially-induced manipulation of revenues and expenses between zero and ten percent of total assets to random samples of 500 firm-year observations within the full sample. The authors use two alternative samples, one with no reversal of manipulation (sample 1) and one with reversal in the following year (sample 2).

The authors include artificially induced manipulation of revenues and expenses between zero and ten percent of total assets to random samples of 500 firm-year observations within the full sample.

The authors find that real earnings manipulation models have lower power than accrual earnings manipulation models, when manipulating discretionary expenses and revenues. Furthermore, the real earnings manipulation model to detect overproduction has high misspecification, resulting in artificially inflating the power of the model. The authors examine an alternative model to detect discretionary expense manipulation that generates higher power than the Roychowdhury (2006) model. Modified real manipulation models (Srivastava, 2019) are used as robustness and the authors find these to be more misspecified in some cases but less in others. The authors extend the analysis to a setting in which earnings management is known to occur, i.e. around benchmark-beating and find consistent evidence of accrual and some forms of real manipulation in this sample using all models examined.

This study contributes to the literature by providing evidence of misspecification of currently used models to detect real accounts manipulation.

Based on the findings, the authors recommend caution in interpreting any findings when using these models in future research.

The findings address the earnings management literature, guided by the agency theory.

As indicated in the Italian law (No. 109-1996), agri-food co-operatives can also play a role in combatting mafia-type systems by choosing to grow their food products in lands confiscated from mafia-type organisations. These food products provide individuals with a new opportunity to fight criminal organisations on the marketplace. The purpose of this study is to explore how people react to a social marketing initiative devoted to promoting food “buycotting” to counteract mafia-type organisations in Italy.

The data were obtained from a convenience sample of 339 Italians, and the study adopted a model inspired by the general theory of marketing ethics. A structural equation model was applied to estimate both the parameter and coefficient functions.

Individuals recognise the ethical value of “buycotting”. However, they perceive this form of critical choice as not yet being fully effective in counteracting mafia-type systems in Italy.

The results suggest that promotional and psychological approaches from marketing literature can be effectively used to influence the consumer’s ethical judgement by selectively communicating and emphasising the benefits of the critical consumption investigated.

This is one of the first studies to address consumers’ ethical judgments and their reactions towards buycotting food as a critical choice to reward socially responsible corporations.