Search results

This study aims to investigate the extent of Shariah compliance in wakalah sukuk and Shariah non-compliant risk disclosure in the sukuk documents and to analyse the risk management techniques associated with the disclosed risks.

This study uses qualitative document analysis as both data collection and analysis methods. The document analysis acts as a data collection method for 23 wakalah sukuk documents selected from 32 issuances of wakalah sukuk from 2017 to 2021. These sukuk documents were selected based on their availability from relevant websites. Document analysis, both content analysis and thematic analysis, were used to analyse the data. Codes were grounded from that data through keywords search of Shariah noncompliant risk and its risk management. Besides these, interviews were also conducted with four active industry players, i.e. two legal advisors of wakalah sukuk, a wakalah sukuk trustee and a sukuk institutional issuer. These interview data were analysed based on categorical themes, on the aspects of the extent of Shariah compliance in sukuk, and the participant’s views on the risk management techniques associated with the risks or used in the sukuk documents.

Overall, the findings reveal three types of Shariah non-compliant risks disclosed in the sukuk documents and seven risk management techniques associated with them. However, the disclosure and the risk management techniques can be considered minimal in contrast to the extent of Shariah compliance in a sukuk, i.e. Shariah compliance at the pre-issuance stage, ongoing stage and post-issuance stage. On top of these, it was also found from the interviews that not all risk management techniques are workable to manage Shariah non-compliant risk in sukuk. As a result, these findings suggest rigorous reviews of the existing Shariah non-compliance risk (SNCR) disclosures and risk management techniques by the relevant parties.

Sukuk documents used in the study are limited to corporate wakalah sukuk issued in Malaysia. Out of 32 issuances from 2015 to 2021, only 23 documents are available in relevant website. Thus, Shariah non-compliant risk disclosure and its risk management techniques analysed in this study are only limited in those documents.

The findings of this study suggest rigorous reviews on the existing Shariah non-compliance disclosures and risk management techniques. Other than these, future research in relation to uncommon risk management clauses, i.e. assurance, Shariah waiver and transfer of risk, are needed.

The insights presented in the analysis are of importance to sukuk issuers and the sukuk due diligence working group in enhancing the sukuk Shariah compliance and Shariah non-compliant risks disclosure and towards sukuk investors, in capturing and assessing Shariah non-compliant risks in a sukuk and to assist them to make informed investment decisions. More importantly, this study has found few areas of future study in relation to SNCR disclosures and SNCR risk management techniques.

Research on employee non-/compliance to information security policies suffers from inconsistent results and there is an ongoing discussion about the dominating survey research methodology and its potential effect on these results. This study aims to add to this discussion by investigating discrepancies between what the authors claim to measure (theoretical properties of variables) and what they actually measure (respondents’ interpretations of the operationalized variables). This study asks: How well do respondents’ interpretations of variables correspond to their theoretical definitions? What are the characteristics of any discrepancies between variable definitions and respondent interpretations?

This study is based on in-depth interviews with 17 respondents from the Swedish public sector to understand how they interpret questionnaire measurement items operationalizing the variables Perceived Severity from Protection Motivation Theory and Attitude from Theory of Planned Behavior.

The authors found that respondents’ interpretations in many cases differ substantially from the theoretical definitions. Overall, the authors found four principal ways in which respondents interpreted measurement items – referred to as property contextualization, extension, alteration and oscillation – each implying more or less (dis)alignment with the intended theoretical properties of the two variables examined.

The qualitative method used proved vital to better understand respondents’ interpretations which, in turn, is key for improving self-reporting measurement instruments. To the best of the authors’ knowledge, this study is a first step toward understanding how precise and uniform definitions of variables’ theoretical properties can be operationalized into effective measurement items.

The aim of this paper is to evaluate whether the acceptability of different types of business- and individual-level non-compliance has different impacts on the likelihood of participation in undeclared work.

To evaluate this, data is reported on the EU27 and the UK from the special Eurobarometer survey no. 498, using a novel statistical methodology that deals with two potential sources of bias: sample selection error (avoidance to answer to the question about participation to undeclared work) and misclassification in the response variable (false statements about engagement in undeclared work).

This reveals the association between tax morale and participation in undeclared work. It shows that citizens find far more unacceptable undeclared work conducted by firms than individuals, but both are significantly associated with participation in undeclared work although the greatest effect is clearly exerted by individual-level tax morale.

This paper uses a methodology that accounts for the potential bias related to sample selection error and misclassification in the response variable of participation in undeclared work and sheds light on different components of tax morale.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

Higher education institutions are the citadel of knowledge and are heavily involved in formulating building regulations and building infrastructure designs that must conform to the building regulations. The study aims to identify university infrastructures compliant with disabled access from the perspective of the built environment students in Ghanaian universities.

Questionnaire surveys were administered to 500 built environment students across ten technical universities in Ghana with a total population of 3066; 341 were expected based on the formula used. However, upon several reminders, 176 responded. Data collected were analysed using Statistical Package for the Social Sciences.

The findings show that all university facilities are not fully compliant with disabled access. Structures found to be least compliant are the laboratories, canteens, hall of residence, toilet facilities, football fields, places of worship and transport stations. The facilities with high compliance are the administration block, library, hospital building, lecture halls, department offices and ATM areas. The leading causes for this non-compliant are lack of enforcement of the building regulations, low level of disabled students’ enrolment, age of the building, lack of knowledge and poor building designs.

Compliance with disabled access makes universities world class and creates safe learning spaces for individuals with disabilities, enforcing the right to education for all individuals, particularly those with disabilities. Lack of compliance with disabled access will hamper the full utilisation of these facilities, thereby affecting quality education delivery to people with disabilities.

The findings are essential to the Ghanaian built environment, the lives of disabled individuals and universities. The results provide knowledge on areas of improvement for complete access to structures and facilities by disabled individuals.

To construct effective compliance programmes, the phenomenon of non-compliance and variations in its abidance must be elucidated. The purpose of this paper is to discuss the social reality of ethical decision making, which examines the internalisation of moral norms and realities of social behaviour and, therefore, the general non-compliance with everyday laws (Tyler, 2006).

This paper makes use of several social theories, including social proof theory, traditional social theory and social control theory. Humans are social beings, and decision-making in ethics is strongly influenced by herding behaviour (Roy, 2021). The behaviour of others and normative ethical standards inform the compliance of behaviour to an undiminishable degree.

Although there is a host of factors to consider, the success of compliance can largely be attributed to people’s perception and reception of authority. The perception of authority and legitimacy plays a vital role in appreciating the complexity of rule following. Legitimacy, and its embodiment by persons in public roles, is a cornerstone of the subsequent discussion.

This paper uncovers the underlying motivations of non-compliance as well as the social psychology involved in the ethics of compliance. Cross-disciplinary connections are made between the private and public sector and practical compliance recommendations. The significant impact of integrity culture and value-based compliance emerges from the dissection of the social reality.

This study explores the causes of delayed mandatory annual report filings of private companies in Estonia.

The authors use an online survey targeting companies that had submitted annual reports for 2017 late (late-filers) or failed to submit these by July 2020 (non-filers). The responses of 492 late-filers and 122 non-filers are analysed with exploratory factor analysis, Mann–Whitney U-Test and logistic regression.

Annual report filing decisions of both, late-filers and non-filers, are strongly driven by administrative costs attached to the preparation and submission of reports with non-filers perceiving these to be significantly greater. The relevance of other disclosure-related costs and benefits remains similar for both late-filers and non-filers. While proprietary and privacy concerns remain rather unimportant, benefits of timely disclosure, in the form of access to financing and possibilities to continue ordinary business activities, remain important disclosure timing drivers.

Policy interventions should focus on preventive measures that hinder companies' ordinary business activities in case of non-compliance to reporting deadlines. Monetary sanctions can be used to strengthen the desired behaviour alongside broader clarification of the purpose of mandatory reporting and available exemptions.

The authors propose an empirically testable comprehensive one-period model of disclosure timing decisions of private companies differentiating late-filers and non-filers. The authors address the limitations of previous studies through a survey that allows the authors to draw direct inferences about the trade-offs between different decision drivers and the motivations behind managers' disclosure timing decisions.

This study aims to assess the extent of the mandatory and voluntary Shariah compliance disclosure in the Shariah Committee Report of Islamic financial institutions (IFIs) in Malaysia. The study highlights the accountability and transparency of the Shariah Committee members to provide full disclosure of relevant Shariah compliance information to the stakeholders.

The study adopts content analysis to quantify and code the number of sentences in the Shariah Committee Report disclosed in the 2016 annual report of 47 IFIs in Malaysia. The extent of Shariah compliance disclosure in the Shariah Committee Report is measured based on the Standard (S) and Guidance (G) items outlined in the Shariah Governance Framework (SGF) as well as the Financial Reporting for Islamic Banking Institutions and takaful operators guidelines issued by Bank Negara Malaysia (BNM) as the reference.

The findings indicate that majority of IFIs complied with the minimum mandatory disclosure requirement based on the Standard (S) items in the Shariah Committee Report as required by the SGF. Highest information on the purpose of Shariah Committee engagement and scope of work performed is disclosed to the stakeholders in almost all IFIs. Only two prominent full-fledged Islamic bank and Islamic banking business in development financial institutions have shown highest accountability to go beyond the minimum disclosure requirement. This includes disclosing higher voluntary information on Shariah governance processes in the Shariah Committee Report of these two IFIs.

This study adopts the SGF (Bank Negara Malaysia, 2010), Financial Reporting for Islamic Banking Institutions (Bank Negara Malaysia, 2016) and Financial Reporting for Takaful Operators (Bank Negara Malaysia, 2015) as the reference to develop the measurement of Shariah compliance disclosure in the Shariah Committee Report. These guidelines issued by BNM are still effective during the period of study, i.e. the year 2016.

The findings contribute towards the relevance for BNM as the regulator to enhance the current disclosure requirement in the Shariah Committee Report as stated in the SGF especially in Islamic windows and takaful operators. The main argument of this paper is that the more information being disclosed in the Shariah Committee Report will lead to better Shariah assurances. The issuance of Shariah Governance Policy Document in 2019 is expected to enhance the credibility, accountability and transparency of the Shariah Committee members concerning their oversight responsibility towards Shariah matters in IFIs’ business operations.

After five years since the issuance of the SGF in 2010, further study on the extent of mandatory and voluntary Shariah compliance disclosure is important to highlight the accountability and transparency on the implementation of the Shariah governance across various types of IFIs in Malaysia.

One important study in the portfolio investment is the study of the optimal asset allocations. Markowitz is the pioneer of modern portfolio theory that analyses the performance of portfolio based on the mean (reward) and variance (risk). Motivated by the Markowitz's mean variance model, the purpose of this paper is to propose a new portfolio optimization model that takes into consideration both processes of purification and screening, which are key to constructing a Shariah-compliant portfolio. In practice, this paper introduces a stochastic purification variable and a probabilistic screening constraint into a portfolio model.

First, the authors study the stochastic nature of purification variable and apply it to both investment and dividend purification. Second, recognizing that the importance of on-going screening could adversely affect the portfolio strategy, the authors impose probabilistic constraints to control the risk of compliance change. They evaluate the proposed model by formulating the screening constraints at both asset and portfolio levels, together with three different financial screening divisors that are broadly used by the international Shariah boards. The authors also conduct an extensive empirical study using a sample of Shariah-compliant public companies listed on the Indonesia Stock Exchange.

Based on the empirical example presented in this paper, the authors found that the purification variable in the proposed model is closer to the practice in the Sharia capital market in terms of the nature of the non-constant data, and this variable reduces the total income of portfolio which has not been captured in the previous literature. The authors also have successfully derived the portfolio screening constraint to mitigate the risk of the asset change to be non-compliant in the future.

Based on the authors’ knowledge, this is the first paper that proposed the stochastic purification and the dynamic of screening processes into the Shariah portfolio model. This paper also examines the impact of non-short-selling, purification and screening policies to the performance of Shariah portfolio.