N. Aishah Abdul-Rahman, Rahimi A. Rahman and Ahmad Rizal Alias
This study aims to develop an interrelation model between critical parameters for assessing the construction readiness (CR) of abandoned housing projects, using Malaysia as a case…
Abstract
Purpose
This study aims to develop an interrelation model between critical parameters for assessing the construction readiness (CR) of abandoned housing projects, using Malaysia as a case study. To achieve that aim, the study objectives are to (1) identify critical parameters for assessing the CR of abandoned housing projects; (2) develop underlying constructs to categorize interrelated critical parameters and (3) assess the influence of the underlying constructs on the CR of abandoned housing projects.
Design/methodology/approach
This study identifies potential parameters for assessing the CR of abandoned housing projects by reviewing existing literature and interviewing industry professionals. Then, the list was used to develop a questionnaire survey. The collected survey data were analyzed using normalized mean analysis to identify the critical parameters. Exploratory factor analysis (EFA) was used to develop underlying constructs to categorize interrelated critical parameters. Finally, the influence of the underlying constructs on the CR of abandoned housing projects was examined through partial least squares structural equation modeling (PLS-SEM).
Findings
The analyses suggest that 21 critical parameters are affecting the CR of abandoned housing projects. The critical parameters can be categorized into four underlying constructs: construction site evaluation, management verification, uncertainties mitigation and document approval. Finally, the analyses confirmed that all four constructs affect the CR of abandoned housing projects.
Originality/value
This study is a pioneering effort to quantitatively analyze the parameters for assessing the CR of abandoned housing projects. The findings significantly benefit researchers and industry professionals by providing a list of critical parameters associated with the CR of abandoned housing projects.
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Sakti Arief Wicaksono, Permata Wulandari and Nur Dhani Hendranastiti
The COVID-19 pandemic has affected economic activity both globally and nationally, which also has an impact to banking sector and Islamic banking is no exception. This study aims…
Abstract
Purpose
The COVID-19 pandemic has affected economic activity both globally and nationally, which also has an impact to banking sector and Islamic banking is no exception. This study aims to see how the impact of Islamic bank financing in seven sectors affected by the COVID-19 to the credit risk of Indonesian Islamic banks. In addition, this study also tries to see whether the proportion of mudharabah-musharaka or profit-loss sharing (PLS) financing also affects credit risk in Indonesian Islamic banks.
Design/methodology/approach
This study uses fixed effect panel data regression over the period 2011–2020.
Findings
The results of this study show that wholesale and retail trade financing will increase credit risk in Indonesian Islamic banks as a policy implication. In terms of the proportion of PLS financing, it shows that a larger share of PLS financing will reduce credit risk in Islamic banks.
Originality/value
This paper demonstrates that despite the industry’s perception of PLS as riskier than murabaha-based instruments. According to the research, PLS financing will lower credit risk in Islamic banks. This study found that PLS contributes to overall economic stability by shifting the function of Islamic banks from a simple lending body to an active market catalyst/manager/consultant to market players seeking financial aid.
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Mohd Nayyer Rahman, Badar Alam Iqbal and Nida Rahman
African Economies are a mix of emerging and developing economies, characterised by regional imbalances and socio-economic differences. Foreign Direct Investment and Trade has been…
Abstract
African Economies are a mix of emerging and developing economies, characterised by regional imbalances and socio-economic differences. Foreign Direct Investment and Trade has been important for the growth prospects of African Economies. In this paper, we attempt to study the impact of FDI and Trade in a COVID-19 scenario on the African Economies. We also study the lockdown restrictions in different regions of Africa. Applying Neural Network Analysis for the sample of 36 African Economies we identify the significant economic variables for GDP. The analysis based on a feedforward structure suggests that Merchandize Exports (MEXP) and Foreign Direct Investment Stock (FDIS) have very strong causal linkages with the GDP for African Economies sample. On the other hand, Merchandise Imports (MIMP), Services Exports (SEMP), Services Imports (SIMP), and Foreign Direct Investment Inflows (FDII) have a strong and significant relationship with GDP for the African Economies. Tariff Measures (TRFF), Anti-Dumping measures (ADP) and Foreign Direct Investment Outflows (FDIO) have no significant relationship.
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Reezlin Abdul Rahman, Mohd Salehuddin Mohd Zahari, Mohd Hafiz Hanafiah and Mohd Nor Mamat
The available research works dealing with Halal food are centrally concerned with the Halal certification, logistics, export market, consumer awareness and business ethics with…
Abstract
Purpose
The available research works dealing with Halal food are centrally concerned with the Halal certification, logistics, export market, consumer awareness and business ethics with minimal study explores Muslim consumers’ purchase behaviour of Syubhah semi-processed food. The purpose of this study is to investigate the relationship between Muslim consumers’ knowledge on the wholesomeness, labelling, trust and purchase behaviour of Syubhah semi-processed food.
Design/methodology/approach
The study respondents are Muslim consumers in the semi and rural areas. Through a self-administered survey, 780 usable responses were successfully collected. The study hypotheses were analysed using the partial least squares structural equation modelling. Mediation analyses were conducted, focusing on the effect of trust on the relationship between consumer knowledge on the wholesomeness, labelling and purchase behaviour of Syubhah semi-processed food.
Findings
This study confirms that lack of knowledge on the wholesomeness and labelling among the semi and rural Muslim consumers influences them to purchase the Syubhah semi-processed food. Trust significantly plays a significant mediation role on the consumer Syubhah semi-processed food purchase behaviour.
Originality/value
This study confirms there is lack of knowledge among the semi and rural Muslim consumers on Syubhah semi-processed food. Such pessimistic indications of Syubhah food products carry varying consequences and implications for Muslim consumers, Halal food producers and the relevant religious authorities.
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Robert T. F. Ah King and Samiah Mohangee
To operate with high efficiency and minimise the risks of power failures, power systems require careful monitoring. The availability of real-time data is crucial for assessing the…
Abstract
To operate with high efficiency and minimise the risks of power failures, power systems require careful monitoring. The availability of real-time data is crucial for assessing the performance of the grid and assisting operators in gauging the present security of the grid. Traditional supervisory control and data acquisition (SCADA)-based systems actually employed provides steady-state measurement values which are the calculation premise of State Estimation. More often, however, the power grid operates under dynamic state and SCADA measurements can lead to erroneous and inaccurate calculation results. The introduction of the phasor measurement unit (PMU) which provides real-time synchronised voltage and current phasors with very high accuracy is universally recognised as an important aspect of delivering a secure and sustainable power system. PMUs are a relatively new technology and because of their high procurement and installation costs, it is imperative to develop appropriate methodologies to determine the minimum number of PMUs as well as their strategic placements to guarantee full observability of a power system. Thus, the problem of the optimal PMU placement (OPP) is formulated as an optimisation problem subject to various constraints to minimise the number of PMUs while ensuring complete observability of the grid. In this chapter, integer linear programming (ILP), genetic algorithm (GA) and non-linear programming (NLP) constrained models of the OPP problem are presented. A new methodology is proposed to incorporate several constraints using the NLP. The optimisation methods have been written in Matlab software and verified on the standard Institute of Electrical and Electronics Engineers (IEEE) 14-bus test system to authenticate their effectiveness. This chapter targets United Nations Sustainable Development Goal 7.
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Islamic finance and Halal product sectors are thriving successfully. This chapter is a general review of the perception of Asian consumers on Islamic finance and Halal sectors in…
Abstract
Purpose
Islamic finance and Halal product sectors are thriving successfully. This chapter is a general review of the perception of Asian consumers on Islamic finance and Halal sectors in the global Halal economy.
Methodology/approach
The first section will briefly describe the Halal concept in both Islamic finance and Halal industries, and the growth of both sectors in Asian countries. The second part highlights the review of Asian consumers’ perception towards Islamic finance products and Halal products.
Findings
The review found that the consumers’ perception towards the Islamic finance products and Halal products is distinctive. This is due to the diversity of Asian countries in terms of geography, religion, culture, ethnic, school of thoughts (madzahib), income per capita and government’s involvement.
Originality/value
The third part of the chapter concentrates on planning towards Halal marketing, which involves the move and future challenges in different layers of industries to gear up and strengthen the Halal economy.
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Trevor Chamberlain, Sutan Hidayat and Abdul Rahman Khokhar
This study aims to investigate the differences in the credit profiles of Islamic and conventional banks in the Gulf Cooperation Council (GCC) region and attempts to identify the…
Abstract
Purpose
This study aims to investigate the differences in the credit profiles of Islamic and conventional banks in the Gulf Cooperation Council (GCC) region and attempts to identify the factors responsible for those differences.
Design/methodology/approach
Financial data sourced from the Bankscope database for a sample of 25 Islamic and 56 conventional banks headquartered in the GCC region between 1987 and 2014 are used. The credit risk of Islamic versus conventional banks is compared using a variety of univariate (mean difference test and correlation analysis) and multivariate tests (pooled ordinary least squares (OLS) regressions with robust standard errors and year fixed effects, regressions with interaction variables and logistic regressions).
Findings
Pooled OLS regressions find that Islamic banks have lower credit risk than conventional banks. Robustness checks using logistic functions and interaction variables confirm this result. Using multiple econometric specifications, we also find that higher capitalization, greater liquidity and cost inefficiency contribute to the lower risk profile of Islamic banks.
Research limitations/implications
The study is unable to disaggregate data for banks offering both Islamic and conventional banking services and hence does not include conventional banks with Islamic windows. In addition, there are differences across countries even within the GCC region as to what is considered Sharia’h-compliant and what is not.
Practical implications
The results are of potential interest to not only researchers, but also market participants, regulators and legislators. The methods used in this study could be extended to other two-tiered banking systems and, in the case of Islamic and conventional banking, to other markets.
Originality/value
The authors use a unique sample of banks headquartered in the GCC countries, whose banking markets are similar, if not homogeneous, thus excluding operations of multinational banks. By focusing on the Gulf region, differences in the credit profiles of Islamic and conventional banks can be examined without the confounding effects of unobserved factors like culture, accounting regime or regulatory environment.
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Noel Scott, Brent Moyle, Ana Cláudia Campos, Liubov Skavronskaya and Biqiang Liu
Tariq Bhatti and Maizaitulaidawati Md Husin
The purpose of this study is to apply the theory of planned behavior (TPB) in predicting the intention to participate in family takaful schemes (FTSs) in the United Arab Emirates…
Abstract
Purpose
The purpose of this study is to apply the theory of planned behavior (TPB) in predicting the intention to participate in family takaful schemes (FTSs) in the United Arab Emirates (UAE). One area of concern for takaful operators is their untapped market and lower market share compared to those of their conventional insurance counterparts. It is possible that the investigation of direct and indirect (belief based) measures of TPB could shed some light on these concerns and possibly offer some assistance to takaful operators.
Design/methodology/approach
Interrelationships among attitudes, subjective norms, perceived behavioral controls (PBCs) and intention to participate in FTSs were examined. The relationships between behavioral beliefs on attitudes, normative beliefs on subjective norm and control beliefs on PBC were also assessed to fully identify the structures underlying factors measuring intentions. The respondents consisted of 175 Muslims in the UAE. Data were collected using an online survey and analyzed using SPSS.
Findings
This study found that attitudes, subjective norms and PBCs contribute to the prediction of the intention to participate in FTSs. This study used standard multiple regressions to identify an extensive set of specific belief composites this can be used in the prediction of direct measures of TPB and the intention to participate in FTS.
Practical implications
The findings of this study provide useful information to takaful marketers on how to develop marketing strategies to increase FTS participation. This study suggests that informative and persuasive promotions can be used to improve the penetration rate of FTSs in the UAE.
Originality/value
This study provides insights into previously unaddressed FTS participation in the UAE. Prior work on determining FTS participation has not been applied to both direct and indirect measures of TPB to understand the phenomenon.