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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.

Various studies suggest that some of natural agents create a specific action of hypocholesterolemic effect. Considering this fact, the aim of this paper is to work on describing selected natural agents that may reduce cholesterol concentrations by different mechanism of actions.

The advantages, phytochemical components and the mechanisms of the agents were reviewed and supported from the findings of the in vitro, double-blind and clinical studies from published journals, books and articles. The journals used in this review were published between 1987 and 2016, and are available from PubMed, ScienceDirect and Google Scholar.

Plant stanols and sterols, turmeric, fenugreek, avocado, tomato, artichoke, red yeast rice and garlic showed a positive effect in maintaining cholesterol levels by specific mechanisms or actions. These agents each had a specific action in creating a hypocholesterolemic effect either by inhibition of the enzyme significant to the synthesis process, disturbing the absorption of cholesterol, conversion of cholesterol to other related forms and through the reduction of the oxidative stress.

However, this field still needs more studies as, currently, there is not any detailed information regarding the main active ingredients responsible for the mechanism to reduce cholesterol levels in humans.

This paper enlightens the authors’ understanding of some natural agents that have the potential to be used in controlling cholesterol.

The purpose of this study is to determine the contamination level in natural water resources because the tremendous development in the agriculture sector has increased the amount of contamination in natural water sources. Hence, the water is polluted and unsafe to drink.

Three types of sensor arrays were suggested: parallel, star and delta. The simulation of all types of sensor array was carried out to calculate the sensors’ impedance value, capacitance and inductance during their operation to determine the best sensor array. The contamination state was simulated by altering the electrical properties values of the environmental domain of the model to represent water contamination.

The simulation results show that all types of sensor array are sensitive to conductivity, σ, and permittivity, ɛ (i.e. contaminated water). Furthermore, a set of experiments was conducted to determine the relationship between the sensor’s impedance and the water’s nitrate and sulphate contamination. The performance of the system was observed where the sensors were tested, with the addition of distilled water with different concentrations of potassium nitrate and potassium sulphate. The sensitivity of the developed sensors was evaluated and the best sensor was selected.

Based on the outcomes of the experiments, the star sensor array has the highest sensitivity and can be used to measure nitrate and sulphate contaminations in water.

The star sensor array presented in this paper has the potential to be used as a useful low-cost tool for water source monitoring.

This paper aims to investigate the relationship between corporate tax avoidance and environmental, social and governance (ESG) performance and the moderating effect of financial constraints on the relationship between corporate tax avoidance and ESG performance.

The sample consists of a global data set involving 24,259 firm-year observations from 49 countries for the years 2011–2020. Corporate ESG performance was extracted from the Thomson Reuters database. The book-tax difference model was used for measuring corporate tax avoidance, while financially constrained firms were identified using the Kaplan and Zingales (1997) index.

The results show that firms with higher tax avoidance are associated with higher ESG performance, but lower ESG performance is shown for firms with higher financial constraints. The results further indicate that the positive impact of corporate tax avoidance on ESG performance becomes weaker for firms with higher financial constraints.

The findings imply that policymakers and regulators should focus on mechanisms to promote more internal funds to assist firms in pursuing ESG-related initiatives, such as through tax incentives. Investors should understand the “smokescreen” effect of corporate tax avoidance on ESG performance, especially for firms with financial constraints.

This analysis provides international evidence on the link between tax avoidance and ESG and considers the joint effect of pressures for internal funds, through tax and financing constraints, on corporate ESG performance.

This study contributes to examining the factors that drive the adoption of cryptocurrencies for financial transactions in the tourism and hospitality industries. This is crucial to develop tourism and hospitality and stimulate financial inclusion in developing and developed countries.

This research paper employs the SEM model and bootstrapping method on a sample of 417 French participants involved in tourism and hospitality industries to reveal the causal pathway between a set of independent factors and the willingness to adopt cryptocurrencies for financial transactions.

The empirical findings reveal that ease of use, perceived usefulness, social influence, and financial literacy increase the willingness to use cryptocurrencies. French hotels need to have a strategic orientation, to deal with customers, competitors and changing technological environment. The study also reveals that social influence and financial literacy reduce the level of perceived financial risk and thus, leads to increase the intention to adopt the new type of decentralized currencies.

In contrast to previous studies that focused on the volatility and risk of cryptocurrencies, this research employs a human-centric approach covering different factors that could lead to the adoption of the new type of currency for financial transactions in tourism and hospitality industries.

Cryptocurrencies such as bitcoins represent a novel method of conducting financial transactions and exchanging money. However, their adoption by the general public remains low. Within countries facing financial distress and characterized by a high level of risk, cryptocurrency adoption might offer opportunities for countering crises. The purpose of this study is to explore the factors that influence individuals' adoption of cryptocurrencies for financial transactions within a high-risk context.

To do so, it presents a behavioral model, which is tested using data collected from a survey of 255 respondents residing in Lebanon. The causal relationships between the different factors and individuals' willingness to use cryptocurrencies were then analyzed through Structural Equation Modeling.

Findings show that financial technology awareness and social influence contribute to reducing perceived risk and increasing individuals' willingness to use cryptocurrencies, while individuals' risk aversion and the presence of regulatory support increase the perceived risk of cryptocurrencies.

The study is among the first to use a human-centered approach to understanding cryptocurrency adoption and takes place within a country that is facing a deep financial crisis. Its outcomes contribute to existing theories of cryptocurrency adoption and provide policymakers with insight into how adoption is unfolding namely in developing countries.

Malaysia is recognised as an emerging country with a large Muslim population, making the Malaysian Takaful industry the largest Takaful market in the Southeast Asia region and, notably, one of the fastest growing markets globally. Malaysia is also the first country globally to implement a risk-based capital framework for Takaful. Therefore, the purpose of this paper is to identify the factors that influence the efficiency level (cost efficiency and technical efficiency) of the Takaful industry and to examine the effects of Takaful insurance firms’ specific factors and corporate governance factors that influence the efficiency of Takaful insurance in Malaysia.

In this paper, the efficiency level of the Malaysian Takaful industry was examined between 2011 and 2015. The sample consisted of 11 family Takaful and 8 general Takaful operators. Two-stage Data Envelopment Analysis (DEA) was used by first, conducting non-parametric frontier data envelopment analysis to obtain a DEA score for each operator. This was followed by panel regression with the DEA scores as the dependent variable and the insurance firms’ specific factors and corporate governance factors as the independent variables.

The results of DEA indicate that Takaful operators in general have allocative inefficiency but family Takaful is more cost efficient than general Takaful. Results of panel data analysis reveal that corporate governance factors do influence the cost efficiency but find no evidence on the firm-specific factors towards the cost efficiency and technical efficiency on Takaful operators. Board size and the proportion of non-executive directors impose a negative and significant relationship with cost efficiency, while proportion of Muslim directors in the board is not significant.

This paper focused solely on Malaysia which uses strict regulations governing the Takaful insurance market. Due diligence was also performed to minimise any limitation in the paper. It is proposed that future studies should examine this issue in greater detail by incorporating more data from other Muslim countries.

The findings of this paper have significant implications for policymakers to understand the efficiency condition in the Takaful market. Takaful operators should maintain a small board size with a higher proportion of executive directors, given they could improve the level of effective decision-making to enhance the cost efficiency. As corporate governance factors are significant, Takaful operators in Malaysia should also undertake transparent disclosure practice and reporting such as providing adequate and relevant information related to Shariah compliance and principles to provide a robust foundation as the Takaful market leader regarding Takaful regulations globally.

The consumer is able to make a better decision when choosing Takaful insurance company to protect their interests.

No similar paper has been undertaken to the best of the researcher’s knowledge using similar research design and scope to investigate the efficiency of Takaful insurance as in this paper. Takaful insurance is a rapidly growing industry in Malaysia, setting a prime example to other countries globally. Malaysia was selected for this study, as it is the only nation that has implemented the most extreme regulation in the Takaful insurance market.

This study aims to investigate the practice of bay’ ‘inah contract in personal and home financing products by some Islamic Finance Institutions (IFIs) and examine the differences in the selection of contracts in banking products amongst IFIs mainly involving personal financing. The study will also propose a solution to the problem of differences and simultaneously standardise personal financing contracts in Malaysia.

The methodology of this study is qualitative, in which the data are collected through library research and field studies. The library research is done by examining books of usul al-fiqh (principles of Islamic jurisprudence), mura’aht al-khilaf, maqasid shariah (objectives of Islamic law) articles, statutes and related circulars, while field studies are conducted in an unstructured interview method with some members of Shariah Advisory Council (SAC) and academicians from Bank Negara Malaysia (BNM), IFIs and public university.

The findings show that there is a difference in views amongst SAC members in IFIs on bay’ ‘inah contract that effects the differences in the execution of such contract in banking applications. The study found that the bay’ ‘inah contract was non Shariah (Islamic law) compliant based on Shariah’s arguments and the opinion of the majority of past and present Islamic scholars. The study found that the BNM’s SAC did not allow the bay’ ‘inah contract to be practiced in personal and home financing products. Hence, this study proposes standardisation steps based on differences in the problems studied. The study also suggested that the SAC of BNM make improvements and updates on its solution regarding the bay’ ‘inah contract so that it is not misunderstood especially amongst IFIs.

The study is only looking at one case study, which is the bay’ ‘inah contract practiced by the IFIs in Malaysia.

This study proposes the standardisation of personal financing products practiced by the IFIs. The results of this study can reduce Sharīʿah non-compliance products in the market. The results of this study have gained a deep understanding of the solution of bay’ ‘inah contract made by the SAC of BNM. The findings also reduce the conflict between Shariah scholars locally and internationally and can restore the image of Islamic banking in Malaysia from engaging with controversy products or contracts.

The confidence of the public in Islamic banking is increasing as there is no contractual engagement with serious controversial issues and contracts similar to the concept of riba and hilah (trick) that is prohibited by Islamic law in IFIs.

This study analyses the differences of fatwa (a ruling on the point of Islamic law) about bay’ ‘inah contract decided by some SACs of IFI based on the discipline of usul al-fiqh. The study found that the bay’ ‘inah contract is not allowed by Islamic law. The study has proposed the standardisation of the fatwa differences based on the concept of mura’aht al-khilaf and the concept of standardisation in Islamic finance and to standardise personal financing products amongst IFIs in Malaysia.

The purpose of this study is to investigate the effects of consumer ethnocentrism and consumer animosity at the ethnic level. This study examines both effects on an ethnic majority’s consumption of an ethnic minority’s products and services, focusing on the relationship between two ethnic groups in Malaysia.

The relationship between the constructs were analyzed using the co-variance-based structural equation modeling techniques with analysis of a moment structures version 21. Self-administered questionnaires were obtained from 325 Malay respondents in 2 Malaysian cities.

The results suggest that ethnic-based consumer ethnocentrism can negatively affect product judgment and product judgment can affect consumers’ willingness to buy. Two significant findings were rejected as the directions of the results were not as hypothesized.

Future research could study other ethnic groups of different countries using specific ethnic related products and/or brands.

This research suggests that ethnic-based ethnocentrism and ethnic-based animosity are important factors for businesses to consider as both can affect ethnic consumers’ purchasing behavior. Depending on ethnic consumers’ perception toward a brand, a manager may face either an opportunity or a challenge.

The purpose of this research is to examine the validity of the agriculture-induced environmental Kuznets curve (EKC) hypothesis with evidence from an autoregressive distributed lag (ARDL) approach with a structural break including real income and energy consumption in the model for Ghana over the period 1980–2014.

The ARDL approach with a structural break was used to analyze the agriculture-induced EKC model which has not been studied in Ghana. The dynamic ordinary least squares (DOLS), canonical cointegration regression (CCR) and fully modified ordinary least squares (FMOLS) econometric methods were further used to validate the robustness of the estimates, and the direction of the relationship between the study variables was also clarified using the Toda–Yamamoto Granger causality test.

The ARDL results revealed that GDP, energy consumption and agricultural value added have significant positive effects on CO₂ emissions, while GDP² reduces CO₂ emissions. The Toda-Yamamoto causality test results show a bidirectional causality running from GDP and energy consumption to CO₂ emissions whereas a unidirectional long-term causality runs from GDP² and agriculture value-added to CO₂ emissions.

This finding validated the presence of the agriculture-induced EKC hypothesis in Ghana in both the short run and long run, and the important role of agriculture and energy consumption in economic growth was confirmed by the respective bidirectional and unidirectional causal relationships between the two variables and GDP. Thus, a reduction in unsustainable agricultural practices is recommended through specific policies to strengthen institutional quality in Ghana for a paradigm shift from rudimentary technology to modern sustainable agrarian technologies.

This study is novel in the EKC literature in Ghana, as no study has yet been done on agriculture-induced EKC in Ghana, and the other EKC studies also failed to account for structural breaks which have been done by this study. This study further includes a causality analysis to examine the direction of the relationship which the few EKC studies in Ghana failed to address. Finally, dynamic ordinary least squares (DOLS), canonical cointegration regression (CCR) and fully modified ordinary least squares (FMOLS) methods are used for robustness check, unlike other studies with single methodologies.