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Available studies on anticorruption practices in the construction industry are exploratory with a very limited theoretical basis. This paper aims to provide a solid theoretical foundation to examine situational factors that influence the corruption intentions of individuals and organizations in the construction industry.

This paper conducts a systematic literature review to synthesize construction management literature that suggests anticorruption practices. The identified practices are then examined using two theoretical frameworks: the fraud diamond theory and Lange’s corruption control framework.

The results of this research demonstrate how the four elements of the fraud diamond theory may trigger corrupt behavior in construction projects. The results also highlight conceptual distinctions among different means of corruption controls based on Lange’s corruption control framework. In addition, the findings of this research suggest that anticorruption practices should address (1) the incentives to act corruptly, (2) the normative means of corruption control, (3) the internal means of preventing corruption and (4) the shift in organizational culture.

This paper departs from prior research on corruption in construction projects by (1) identifying a large spectrum of anticorruption practices, (2) presenting a detailed theoretical interpretation of these practices and (3) viewing anticorruption practices as multidimensional constructs, which, in turn, leads to novel ways of examining these practices in construction projects.

This study aims to investigate the factors that influence asset misappropriation fraud among police officers in the Internal Security and Public Order (Malay: Keselamatan Dalam Negeri dan Ketenteraman Awam [KDNKA]) Department, Royal Malaysian Police (RMP).

Primary data were collected from a questionnaire-based survey and the data were analysed using descriptive analysis, correlation analysis and multiregression.

The element of pressure was found to have a negative relationship with asset misappropriation fraud. This result shows the uniqueness of the KDNKA Department in the RMP. The other three elements are found to have a significant positive relationship with asset misappropriation fraud.

This study’s findings can aid academicians in gaining a better understanding of the literature surrounding fraud diamond theory and aid the policymakers in recognizing the signs and possibilities of asset misappropriation fraud in public agencies.

To the best of the authors’ knowledge, this is the first study that uses the KDNKA Department which is the second largest department in RMP as a population in fraud study.

The purpose of this study is to extend the Fraud Diamond Theory to celebrity Special Purpose Acquisition Companies (SPACs) and investigate their post-Initial Public Offering (IPO) stock market performance.

After obtaining a sample of celebrity SPACs from the Spacresearch.com database, fraud risk characteristics were obtained from Lexis Nexus searches. Buy and hold abnormal returns were calculated for celebrity SPACs versus a small-cap equity benchmark for time intervals after IPO, and multiple regression analysis was performed to examine the relationship between fraud risk features and post-IPO returns.

Celebrity SPACs exhibit Fraud Diamond characteristics and significantly underperform a small-cap stock portfolio on a risk-adjusted basis after IPO.

This study only examines celebrity SPACs that conducted IPOs on the NYSE and NASDAQ/AMEX and does not include those that are traded on the Over the Counter Bulletin Board (OTCBB).

Celebrity endorsement of SPAC vehicles attracts investors who may not be properly informed regarding the risk characteristics of SPACs. Accordingly, investors should be warned that celebrity SPACs underperform a small-cap equity portfolio and exhibit significant elements of fraud risk.

The use of celebrity endorsement as a marketing device to attract investment in SPACs has regulatory implications.

To the best of the authors’ knowledge, this paper is the first to examine the fraud risk characteristics and post-IPO performance of celebrity SPACs.

The phenomenon of corruption requires extra handling to achieve zero corruption. The purpose of this paper is to examine the integrated governance, risk management and compliance (GRC) implementation, the quality of internal audits and management's commitment to improving the ability to detect corruption and its impact on the company's financial performance.

This paper used primary and secondary data. Financial statement data and survey results from participants in 69 state-owned companies were analyzed using the Partial Least Square method.

There was a positive and significant effect of the integrated GRC implementation, quality of internal audit and management's commitment to increasing the organization's internal capability in detecting corruption. However, the failure to detect corruption mediates the effect of management commitment on financial performance. Besides, the organization's three internal factors could be better because their functions could be more optimal and require further improvement.

State-owned companies are continuing to be restructured, so these results can be helpful for now. However, they must update continuously with developments related to the composition and classification of state-owned companies.

Organizations can improve their ability to detect corruption in the workplace by using an early warning system such as the integrated GRC, internal audit quality and a high commitment from management.

To the author's limited knowledge, empirical research on integrated GRC implementation, internal audit quality and management commitment are still rare if they improve the detection of corruption ability. It uses the factors that cause corruption in the fraud hexagon to analyze the financial performance.

The fraud landscape for FinTech industry has increased over the past few years, certainly during the time of COVID-19, FinTech market reported rapid growth in the fraud cases (World Bank, 2020). Taking the consideration, the paper has qualitatively understood the loopholes of the FinTech industry and designed a conceptual model declaring “Identity Theft” as the major and the common fraud type in this industry. The paper is divided in two phases. The first phase discusses about the evolution of FinTech industry, the second phase discusses “Identity Theft” as the common fraud type in FinTech Industry and suggests solutions to prevent “Identity Theft” frauds. This study aims to serve as a guide for subsequent investigations into the FinTech sector and add to the body of knowledge regarding fraud detection and prevention. This study would also help organisations and regulators raise their professional standards in relation to the global fraud scene.

This paper revisits the literature to understand the evolution of FinTech Industry and the types of FinTech solutions. The authors argue that traditional models must be modernised to keep up with the current trends in the rapidly increasing number and severity of fraud incidents and however introduces the conceptual model of the common fraud type in FinTech Industry. The research also develops evidences based on theoretical underpinnings to enhance the comprehension of the key fraud-causing elements.

The authors have identified the most common fraud type in the FinTech Industry which is “Identity Theft” and supports the study with profusion of literature. “Identity theft” and various types of fraud continue to outbreak customers and industries similar in 2021, leaving several to wonder what could be the scenario in 2022 and coming years ahead (IBS Inteligence, 2022). “Identify theft” has been identified as one the common fraud schemes to defraud individuals as per the Association of Certified Fraud Examiners. There is a need for many of the FinTech organisations to create preventive measures to combat such fraud scheme. The authors suggest some preventive techniques to prevent corporate frauds in the FinTech industry.

This study identifies the evolution of FinTech industry, major evidences of Identity Thefts and some preventive suggestions to combat identity theft frauds which requires practical approach in FinTech Industry. Further, this study is based out of qualitative data, the study can be modified with statistical data and can be measured with the quantitative results.

This study would also help organisations and regulators raise their professional standards in relation to the global fraud scene.

This study will serve as a guide for subsequent investigations into the FinTech sector and add to the body of knowledge regarding fraud detection and prevention.

This study presents evidence for the most prevalent fraud scheme in the FinTech sector and proposes that it serve as a theoretical standard for all ensuing comparison.

This study aims to observe people’s decisions to commit fraud. This study is important in the current time because it provides insights into the development of fraudulent intentions within individuals.

The information used in this study is derived from semi-structured interviews, conducted with 16 high-ranking officials who are employed in Indonesian local government positions.

The study does not have strong evidence to support prior studies assuming that situational factors or social enablers have direct effects on fraud intentions. As suggested, individual factors which are related to moral reasoning (moral judgment and rationalisation) emerge as a consequence of social enablers. The significant role of that moral reasoning is to rationalise any fraud attempt as permissible conduct. As such, when an individual is capable of legitimising his/her fraud attempt into appropriate self-judgement, s/he is more likely to engage in fraudulent behaviours.

This study offers practical prescriptions in guiding the management to develop strategies to curb fraudulent behaviours. The study suggests that moral cognitive reasoning is found to be a parameter of whether fraud is an acceptable option or not. So, an understanding of observers’ moral reasoning is helpful in predicting the likelihood of fraud within an organisation or in detecting it.

This study provides a different perspective on the psychological pathway to fraud. It becomes a complement work for the fraud triangle to explain fraudulent behaviours. Specifically, it provides crucial insights into the underlying motivations that lead individuals to accept invitations to engage in fraudulent activities.

This study reviews and discusses the accounting literature that analyzes the role of auditors and enforcers in the context of fraud.

This literature review includes both qualitative and quantitative studies, based on the idea that the findings from different research paradigms can shed light on the complex interactions between different financial reporting controls. The authors use a mixed-methods research synthesis and select 64 accounting journal articles to analyze the main proxies for fraud, the stages of the fraud process under investigation and the roles played by auditors and enforcers.

The study highlights heterogeneity with respect to the terms and concepts used to capture the fraud phenomenon, a fragmentation in terms of the measures used in quantitative studies and a low level of detail in the fraud analysis. The review also shows a limited number of case studies and a lack of focus on the interaction and interplay between enforcers and auditors.

This study outlines directions for future accounting research on fraud.

The analysis underscores the need for the academic community, policymakers and practitioners to work together to prevent the destructive economic and social consequences of fraud in an increasingly complex and interconnected environment.

This study differs from previous literature reviews that focus on a single monitoring mechanism or deal with fraud in a broadly manner by discussing how the accounting literature addresses the roles and the complex interplay between enforcers and auditors in the context of accounting fraud.

This study aims to investigate the perceived willingness to adopt and use Forensic Accounting and Investigation Standards (FAIS) in Forensic Accounting and Investigation (FAI) assignments. The study also analyses the usefulness of FAIS in achieving the principle of natural justice (PNJ) concerning fairness.

The respondents comprised 118 accounting professionals whose online survey responses were analyzed descriptively. This study also uses a 2 × 2 contingency analysis representing two levels of usefulness and fairness.

The results revealed that FAIS 410 received the highest mean rating while FAIS 240 received the lowest mean rating in willingness to adopt and use FAIS, and most of the standards were related to the PNJ concerning fairness. The study shows the accounting professionals’ readiness to adapt and flourish with the help of these Standards in FAI assignments.

The findings of this study will increase practitioners’ awareness of the usefulness and fairness of FAIS, which will enhance their understanding of the significance of implementing these newly developed standards to harmonize the investigative process in forensic audits. Additionally, the findings may encourage regulators, researchers, accounting bodies and their members to adopt and conduct further FAIS studies that can advance financial crime prevention, detection and investigation knowledge.

This paper substantially contributes to the literature as it is the first to examine the usefulness and fairness of “Forensic Accounting and Investigation Standards” in the context of forensic audits and investigations, which has not been previously explored.

This study aims to explore personal and organizational factors in mitigating fraud intention through machiavellian personality, altruistic personality, religiousity, whistleblowing system, and accounting firm size. Companies will suffer greater losses if they cannot prevent fraudulent practices. The fraud hexagon theory is considered effective in detecting the possibility of fraud and the tendency of fraud motivated by personal and organizational factors. Therefore, the researchers examined several factors, including Machiavellian, altruism, religiosity, whistleblowing system and accounting firm size in mitigating fraud intention.

This study used a self-administered survey of accountants in Indonesia. The accountants were selected as the sample because the accounting profession has considerable potential in committing fraud. To avoid common method bias, the authors performed ex ante and ex post on the questionnaire. This research model was tested using structural equation modeling-partial least square.

The results revealed that personal factors in the form of Machiavellian, altruism and religiosity had a direct impact on decreasing fraud intention. In addition, whistleblowing system and accounting firm size were able to promote the effectiveness of fraud mitigation.

This study uses one profession, namely, accountants, so it requires further research to see the similarity of results in other professions.

The results contribute to managerial decision-making. Companies should include personal tests during employee recruitment because personal factors are the key to determining individual fraud behavior.

Combining personal factors and organizational factors can promote the success of the internal control system, so that individuals are encouraged to do ethical things.

This study combines personal and organizational factors in mitigating fraud, so as to know accurately which factors are most capable of mitigating fraud.

This chapter focuses on a case study of Kareem Exchange Company and its use of big data analysis to detect and prevent fraud and suspicious financial transactions. The chapter describes the various phases of the big data analysis cycle, including discovery, data preparation, model planning, model building, operationalization, and communicating results, and how the Kareem Exchange Company team implemented each phase. This chapter emphasizes the importance of identifying the business problem, understanding the resources and stakeholders involved, and developing an initial hypothesis to guide the analysis. The case study results demonstrate the potential of big data analysis to improve fraud detection capabilities in financial institutions, leading to informed decision making and action.