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This paper aims to test the effectiveness of the Haryono Umar (HU)-model used in corruption prevention strategies through corruption detection as a tool for detecting corruption because the mode of corruption is increasingly dynamic and complex by focusing on the causes of corruption: pressure, opportunity, rationalization, capability and lack of integrity.

The research uses multiple regression methods, classification and regression trees and the HU-model application system developed by researchers. The research sample uses secondary data from financial reports on the Indonesia stock exchange according to organizational clustering (such as red, grey and green areas).

The research result showed that of the 470 sample companies, there were 445 companies, or 98.9%, in the red cluster (indicated corruption), 19 companies, or 4.04, in the green clusters or not indicated corruption and six companies, or 1.28%, were included in the grey cluster or potential corruption. By knowing the cluster of an organization, efforts to prevent corruption can be made effective and efficient. Implementing the HU-model proves that the amount of pressure, the abundance of opportunities, the ease of rationalization and the high level of position and authority strengthen the drive for corruption if there is a lack of integrity.

Each internal organization can use this model independently and find conditions related to corruption so that they can immediately take action to prevent it.

The application of the HU-model is a discovery in preventing corruption by focusing on the possibility of corruption occurring in each organization through organizational clustering.

The rapid growth of the mobile money industry has been matched by a rise in mobile money fraud. The technology required to apprehend perpetrators of such fraud is nonexistent in most developing countries. Hence, the need for individuals to be willing to pay for insurance against such frauds is crucial. This paper aims to examine individuals’ willingness to pay for insurance against mobile money fraud in Ghana.

The paper uses nationally representative data collected from 4,266 adults (persons 18 years and above) in Ghana. Individuals’ willingness to pay premiums for protection against mobile money fraud was elicited by a single-bound dichotomous choice and open-ended contingent valuation designs.

On average, 24.34% of Ghanaians are willing to pay premiums for insurance against mobile money frauds, with more men (26.37%) being willing than women (22.56%). Similarly, the average monthly premium that men are willing to pay for protection against mobile money fraud is GH¢32.16 (US$8.16), while that of women is GH¢22.5 (US$5.62). Furthermore, the results show that years of schooling, income, previous fraud experience, and using the accounts for saving are all positively associated with willingness to pay. However, using other networks apart from MTN has a negative association with willingness to pay.

To the best of our knowledge, this is the first study that examines willingness to pay for insurance against mobile money fraud. Thus, this is the first that estimate quantitatively how much mobile account holders will pay as premiums for insurance against mobile money fraud.

This study aims to conceptualize the UAE’s whistleblowing model by reviewing recent legislative updates directed toward removing potential legal deterrents, introducing legal protection and establishing numerous external whistleblowing channels. The study surveys these initiatives through the prism of the country’s unique socio-economic and judicial environments.

The study applies a conceptual approach to probe the potential impact of the UAE’s legislative initiatives on the country’s whistleblowing regime by connecting the demographic data, the UAE’s legal and regulatory frameworks, academic literature and media reports.

Recent legislative updates to the UAE whistleblowing regime are geared toward removal of potential legal deterrents, introduction of legal protection and establishment of external whistleblowing channels for reporting. These constitute the conceptual model of the UAE’s whistleblowing strategy, which is broad in scope and application yet may appear fragmented.

The study merges a comprehensive review of legislative initiatives and regulatory framework with academic literature to conceptualize the UAE’s whistleblowing model.

This study aims to critically examine the implementation of green supply chain management (GSCM) practices in service organizations in Thailand.

This study observed 17 service organizations in the private, government, state and non-profit sectors. The multiple case study method was used, including semi-structured interviews, observations and documentation. The data were analyzed using content and thematic analysis methods. Abductive reasoning was used to explain new findings that do not align with prior theories.

A total of 13 of the 17 cases studied had environmental management systems (EMS). Four were GSCM-proactive and moving toward sustainable sufficiency by involving nearby communities in their service delivery. Although regulations and policies from their head offices were key pressures, leaders with high commitment and eco-awareness achieved outstanding success. Instances of greenwashing and fraud were evident among four non-adopters, one of whom was an environmental regulator.

This study acknowledges that leader commitment and high eco-awareness are the most powerful factors. However, the limited timeframe did not allow a deeper exploration of how to create a socially responsible leader. While the openness of information was evident from the best practitioners, non-adopters did not share any eco-certification or reports. They did not allow the researcher to contact other potential respondents apart from the arranged interview sessions. However, correct data were obtained when the answers were contradictory and one(s) told the truth.

A sustainable and sufficient service supply chain model and new equation were proposed, embracing stakeholders such as society, regulators and employees. Recommended practical strategies include green procurement, reduced utility use and reverse logistics (3Rs and 5Ss).

In the GSCM theory, while the manufacturing sector focuses on economics and the environment, green practices in the service sector address social concerns. This study establishes connections between four concepts: EMS-founded GSCM, leading to repeated use of materials in a circular economy (CE). CE is thus the pathway to reducing consumption and achieving real happiness through a sufficiency economy philosophy (SEP).

The purpose of this paper is to examine failures in internal and external controls associated with sovereign wealth funds (SWFs), using three caselets to illustrate the fraud triangle theory factors.

This study uses a qualitative research approach. Caselets are used to illustrate the fraud triangle factors associated with SWFs.

Ideally, SWFs would be characterized by opacity and the strategic flexibility to advance political goals, but this operational agility facilitates an environment ripe for fraud, in large part because there is little transparency with regard to their regulatory structure. Elements of the fraud triangle inherent in the structure of SWFs contribute to the fraud found in the three case examples.

The authors use three SWF fraud cases rather than statistical sampling of all SWFs, which limits the generalizability of the findings. Future research should explore additional recommendations for the evaluation of SWF governance.

The overlap between public sector governance and SWF governance creates an environment amenable to fraud, and as a result, fraud has occurred in several SWFs. Governance recommendations should take into account the lessons learned from previous SWF fraud cases.

Ideally, SWFs would be characterized by opacity and the strategic flexibility to advance political goals, but this operational agility may also facilitate an environment ripe for fraud, in large part because there is little transparency with regard to their regulatory structure.

To the best of the authors’ knowledge, this paper is the first to identify the fraud triangle risk factors associated with sovereign wealth funds using SWF fraud caselets.

The aim of this study is to examine the patterns of fraud present in Valeant’s 2014 and 2015 financial statements and determine through a risk management analysis whether these frauds could have been prevented. This analysis provides the opportunity to more effectively prevent financial statement fraud.

Data were collected from Valeant pharmaceuticals annual reports, financial statements reports and financial authority documentation. Based on these documents, this paper analyzes the different fraud schemes and investigate whether fraud could have been detected earlier by governance actors. In particular, this paper examines the firm’s financial statements three years before the fraud was detected by the Securities and Exchange Commission.

The analysis of financial statements reveals few clues and no alarming red flags three years before detection of the fraud. However, financial statement analyses were complex because of the many acquisitions the firm made in the years before.

This paper aims to contribute to the literature on fraud by investigating a case of financial statement fraud.

Corruption is one of the main facilitators of increased wildlife crime in South Africa. It is important to look at the current legislative framework to determine how wildlife crime can be combated effectively. This paper aims to provide an analysis of the process of wildlife crime, focusing on wildlife poaching and trafficking role players and critically analyses the legislation in place to combat the phenomenon.

A critical analysis of existing literature such as case law, legislation, peer-reviewed publications and electronic articles was used to identify the legislation and processes for the prevention of wildlife crime in South Africa. Common denominators were identified in these sources to provide a baseline for examining wildlife crime.

Wildlife criminals rely extensively on corruption during all facets of their trafficking schemes. The use of traditional environmental laws is not effective in dismantling wildlife trafficking networks, as prosecuting those in the upper echelons is often challenging. The extensive reliance on corruption during all facets of wildlife trafficking provides an opportunity for law enforcement to use such corruption crimes as predicate offences in racketeering prosecutions, thus ensuring kingpins find it more difficult to escape prosecution, owing to their involvement in criminal enterprises that sustain themselves through patterns of racketeering.

This paper contributes knowledge to narrow the research gap with regard to wildlife criminals and how they function. It also addresses possibilities to improve prosecution and disrupt wildlife trafficking networks.