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The main aim of this paper is to measure customers’ perception of car Ijarah financing transactions services provided by the Islamic banks and financial institutions in Pakistan.

The paper uses two research methodologies: Kruskal–Wallis and Mann–Whitney test (non-parametric) and logit regression model (parametric). Both methods are then applied to a real data set of 300 respondents from various cities of Pakistan in the car Ijarah financing industry. The demographic effects are also investigated to see the perception about the degree of Shari’ah compliance and the quality of service of transaction offered by banks.

Main finds of the paper reveal that the customers who used the car Ijarah facility from Islamic banks have positive attitude toward this sort of transaction. In addition, gender, income, marital status affect the perception about the quality of Shari’ah compliance, and the quality of service of transaction issues are very important to selected clients in the industry.

These findings are limited to the car Ijarah financing industry and may not be applicable in other banking products in Pakistan and elsewhere.

Based on the results of this study, potential Islamic bank customers may find it helpful choose products or make product decisions conveniently. The findings of the paper also support Islamic banks in improving the Ijarah facility to increase their customer base in the geo-political locality with similar characteristics as Pakistan.

Shari’ah compliance in the Islamic finance industry is a sensitive issue in Pakistan, and hence, car Ijarah’s Shari’ah compliance can affect banks’ reputation and sensitivity.

The work reported in this paper is original, unpublished and the paper is not submitted elsewhere for publication.

This paper is about gathering the measurement data and making an effectiveness results to assist decision-making process to evaluate the level of the organizational goals achievement. In order to achieve this aim, we designed GOAL framework as a platform represents five steps for domain experts and entrepreneurs to identify the relevant organizational data to assist decision-making process in relation to the organizational goals. The aim of this paper concentrates on the design of this framework. GOAL framework associated with the organizational goals ontology aim to identify the dependency relationship between organizational goals and dependency relationship between organizational data and organizational goals. Metrics is defined for this dependency to identify which organizational data is relevant to the organizational goals. The framework is flexible to change without affecting things around because the framework is applicable in any organizational data with different organizational goals.

The purpose of this paper is to compare the return performance and persistence of ethical and conventional mutual funds during two extreme events, the Asian and the global financial crises under Shariah constraints.

The overall sample comprises of 129 Islamic mutual funds (IMFs) and 350 conventional mutual funds (CMFs) in Malaysia, and the average monthly data cover two periods of market cycles, before and during a financial crisis. The net of all expenses data is obtained from the Morningstar Database. This study employs various market risk-adjusted performance measures (ratios) to estimate the funds’ overall performance during the crises, and then it uses CAPM model to estimate the parameters via panel data approach. Moreover, paper employs the two persistence performance measures on IMFs and CMFs through contingency tables. It tests for the performance persistence effects for IMFs, CMFs using repeat winner and the cross-product ratio (CPR) tests proposed by Malkiel (1995) and Brown and Goetzmann (1995), respectively.

The main findings of the paper are: on average, both funds IMF and the CMF outperform the market return during the entire sample period; none of the funds is better than the “others” during the financial crises and the pre-crisis periods; the ethical fund – IMF outperforms the CMF over the study period. This outcome also indicates that ethical funds are more persistent especially during and the pre-crisis AFC and the GFC periods.

The finding of this study is limited to only Malaysian data because the objective was to guideline investors and market players in Malaysia to prefer investing in Islamic ethical funds to diversify their investment portfolio.

Cautions to use existing ratio measures and CAPM model rather persistence measures may be used with existing methodologies in light of extreme events which influenced investor decision making for better returns at lower risks.

A class of ethical funds consists of religious sustainable, socially responsible and impact-investing (SRI) funds but Shariah implications of halal investment must be observed to avoid prohibited practices within the class of SRI funds.

The work done in this paper are original in the sense that the authors employed various ratios to measure fund performance in conjunction with CAPM model and then tested for two persistence performance measures; the repeat winner and CPR tests.

Recently, Bhatti and Khan considered various functional forms to see their suitability in terms of efficiency and competency in assessing production process based on agricultural data. This paper reviews some models recently used in the literature and selects the most suitable one for measuring the production process of 21 major manufacturing industries in Bangladesh. In particular, the paper estimates and tests the coefficients of the production inputs for each of the selected manufacturing industries using Bangladesh Bureau of Statistics annual data over the period 1982‐1983 through 1991‐1992.

This paper briefly introduces the concept of model selection, reviews recent development in the area of econometric analysis of model selection and addresses some of the crucial issues that are being faced by researchers in their routine research problems. The paper emphasizes on the importance of model selection, particularly the information criteria and penalty functions based model selection procedures which are useful for economists and finance researchers.

The purpose of this paper is to examine the new paradigm of Islamic corporate governance (ICG) in an emerging area of Islamic finance.

The paper adopts an analytical approach to investigate the new executive and managerial roles that ICG is expected to play in the process of corporate financial decision making.

The authors argue that ICG is no longer expected to play the traditional supervisory and regulatory role within Islamic financial institutions. Indeed, the acuteness of competition, the observed failures of the Islamic finance industry, the unprecedented challenges, and the required ethical considerations levy as a new approach that improve the growth of the Islamic finance industry sustain its survival in the global financial world, and enhance the welfare of 25 percent of the world population who survived beyond all level of poverties.

The authors claim that ICG must be endowed with a multi-faceted, new paradigm for the purpose of improving the stakeholders’ interests and reaching the best business practices of the Islamic finance industry to cater investors’ need and the social well-being of the homeless and disadvantaged communities.

The aim is to analyze the European eco-management because the global warming has become a topical issue impacting the whole world. Individual countries are trying to minimize all the catalysts of global warming, such as carbon emissions. This paper addresses this issue and analyzes the performance of European eco-management for the purpose of future energy investments being environmentally.

This paper develops a fuzzy decision-making model to study the performance indicators of selected countries based on EMAS III standard. It employs interval type-2 fuzzy DEMATEL to evaluate the performance factors and TOPSIS methodology to assess five selected European countries' performance in relation to eco-friendly, emission and renewable energy.

Eco-friendly energy plays the most critical role in this respect followed by emissions and renewable energy which constitute significant factors. The novelty of this study is identifying significant criteria regarding environmental and energy efficiency of investments and making performance assessments of European countries with a new fuzzy decision-making model. Both expert opinions and datasets are used for the analysis. This paper supports previous research about energy efficiency investments in Europe.

The innovative feature of this study is identifying significant criteria regarding environmental and energy efficiency of investments and assessing the performance of European countries with a new fuzzy decision-making model. The fact that the analysis only concerns the European region is an important limitation. In future analyses, other groups of countries can be examined. Innovations can be made regarding the method applied. In this context, analyses can be done utilizing different fuzzy numbers. Finally, the importance of the criteria can be calculated with other methods such as SWARA.

The paper fills the gap in performance analysis of European eco-management for environmentally friendly and efficient energy investments is done in this manuscript.

Analysis of European eco-management performance was done for environmentally friendly and efficient energy investments. A fuzzy decision-making model is constructed. The paper fills the gap in performance analysis of European eco-management for environmentally friendly and efficient energy investments.

This paper investigates the performance of locally focused equity mutual funds (LFEFs) in Saudi Arabia as compared with the performance of benchmark funds. More specifically, the focal question pertains to whether Shariah-compliant mutual funds (SMFs) and conventional mutual funds (CMFs) outperform their respective benchmarks. Undertaken in the context of Saudi Arabia's economic planning under Vision 2030, the study offers a foundation for determining whether and the extent to which Shariah-compliant investment strategies are competitive—a matter of considerable importance across 57 Muslim countries.

The Carhart four-factor model is applied to a sample of 39 Saudi Arabian mutual funds (MFs) using the monthly net asset value (NAV) per share. The sample period, April 2007 to October 2016, is considered in its entirety and as three sub-periods, i.e. low-, medium- and high-volatility.

The results show that the locally focused equity mutual funds (LFEFs) significantly outperformed their benchmark, i.e. the Tadawul All Share Index (TASI), during the full sample period and the low-volatility period. According to the empirical comparison, the CMFs also outperformed their TASI benchmark for the full sample period and the low-volatility period. However, the SMFs neither outperformed nor underperformed their S&P Saudi Arabia Domestic Shariah Index benchmark. That is, for each of the SMFs included in the sample, the Jensen's alpha was insignificant for both the full sample and all three volatility sub-periods.

In this paper, the four-factor model is used in the context of a single country. The results, therefore, may not be generalizable to the multi-country level in the Gulf Council Cooperation (GCC) region given differences between the member countries in terms of financial structure and economic focus.

The results reported constitute a useful guide for policymakers and faith-based-sensitive investors concerned about the Shariah compliancy of their portfolios given that there is very little difference between how CMFs and SMFs performed in the focal period. This research can be extended to include other Islamic countries in the GCC region as a basis for identifying optimal investment vehicles, i.e. those most likely to produce high returns at low risk.

The work reported in this paper is original and constitutes a valuable asset for ethnoreligious-sensitive investors. The research has not been published in any capacity and is not under consideration for publication elsewhere.