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Islamic finance is an alternative approach of financial intermediation based on risk-sharing and asset-backed operations, which evolved substantially in recent years in academic research raising the need for quantitative studies to address the intellectual development and scientific performance of this field. This study aims to provide quantitative statistics and comprehensive review of the key influential and intellectual structure of Islamic finance literature.

The authors apply the trending and cutting-edge quali-quantitative approach of bibliometric citation analysis. This study reviews 1,940 English studies and review papers published in scientific journals indexed by the Scopus database from 1983 to 2019. RStudio, VOSviewer and Excel’s software are used to analyze the collected data and apply the bibliometric tests.

The results identify the leading academic authors, journals, institutions and countries with relation to Islamic finance. The authors also propose six main research themes in this field, which are as follows: Islamic finance – fundamentals, growth and legitimacy; customer’s attitude and perception toward Islamic finance; accounting and social reporting of Islamic finance; performance and risk management of Islamic finance; Islamic financial markets; and efficiency of Islamic financial institutions. Lastly, the authors identify research gaps in the existing Islamic finance literature and present 24 future research directions.

The data in this study is confined only to the Scopus database of English papers and reviews. It also considers papers directly related to the field of Islamic finance.

To the best of the authors’ knowledge, this paper is one of the first to address the literature of Islamic finance from a bibliometric aspect. The results of this study along with future research questions will help researchers and practitioners to further explore and stand on firm quantitative bases regarding the scientific development of Islamic finance.

The purpose of this paper is to examine the dynamical behavior of a combined three-story building with a 3D panel wall system including a soft story irregularity at the very first floor by doing a shaking table test. The upper two stories of the model were made out of the 3D panel system, while the first story was constructed only with moment-resisting RC frames.

Besides the experimental program, the numerical finite element method was implemented for the verification of the experimental results. In the experimental study, the building responses including the floors’ accelerations and drifts were considered, and the seismically vulnerable zones were reported and compared with that provided by the implemented FEM-based program.

After the shaking table test, the major cracks appeared at the end of each column and beam-column connections. Some negligible cracks were also visible around the beam-panel connections. However, no crack was seen in the upper stories. The lateral deformation of the studied building was investigated under the applied ELC25 and NGH135 earthquakes. Under the both aforementioned ground motion records, the first story drift was larger than two upper stories, since the moment-resisting frame was a soft story. The hysteretic relation between the shear and displacement for each story was studied. Under the applied ELC25 earthquake, the system remains linear and the stiffness of each story is obtainable as well.

This is the first time when the dynamical behavior of a combined system is studied and tested experimentally and numerically for data validation. Regarding the response of the assumed combined structure, the 3D panel system has a remarkable rigidity with respect to the conventional RC frames, also 3D panels have less weight than the moment-resisting frames.

This paper aims to examine the impact of bank’s capital buffer on return on equity (ROE) in the context of Islamic and conventional banks in GCC countries.

The authors collect data from 83 commercial banks comprising of 49 conventional banks and 34 Islamic banks for the period 2010–2019. The final data set comprises of 744 bank-year observations. The authors apply generalized methods of moments estimation technique and panel least square to analyze the data.

The authors document that Tier-1 capital, total regulatory capital (TRC) and equity to asset ratio (EAR) negatively affect banks’ ROE. However, the impact disappears for conventional banks and sustains for Islamic banks if these two clusters of banks are treated separately. Furthermore, the negative impact of equity capital on earning is more pronounced for large and listed commercial banks.

Findings of this research imply that Islamic banks in GCC countries has scope to manage equity capital more efficiently. Hence, they should concentrate on using banks equity wisely to successfully compete with the conventional banks.

Since the global financial crisis of 2009, Islamic banks of GCC countries have been reporting lower ROE compared to their conventional counterparts. On the other hand, Islamic banks maintain higher level of Tier-1 capital, TRC and EAR. This evidence hypothetically suggests that Islamic banks are overly cautious in managing their capital buffer that results in lower ROE. To the best of the author’s/authors’ knowledge, no other study in the literature tests this hypothesis in the GCC context.

Summarizes the net capital flows from industrial to developing/transitional countries 1970‐1996 and recent changes in their equity and bond markets; and identifies the factors affecting these portfolio flows and risk/return behaviour in OIC stock markets. Uses monthly stock return data from ten OIC countries to demonstrate that despite their volatility they might offer opportunities for portfolio diversification; and uses cointegration methods to investigate the dynamic relationships between them. Discusses the causes of the Asian currency crisis and its impact on these stock marekts; and considers what trade and development policies OIC countries should adopt to improve their economies.

This paper updates the literature regarding the performance of constrained US mutual funds by looking at the relative performance of Christian mutual funds, socially responsible funds and Islamic funds. This paper aims to rank the performance of religious and ethical investment funds.

This study uses monthly returns from 2005 to 2015 to perform traditional asset pricing models as well as data envelopment analysis to determine rank.

Islamic mutual funds outperform socially responsible funds, which then outperform Christian-based mutual funds; these results are also consistent during the latest 2007-2008 crisis period. The results are robust to different performance metrics and benchmarks. Moreover, this paper reports a significant amount of money “left on the table” by investing in constraint funds and disregarding the sin industry which shows an ethical dilemma for investors.

Investors who seek to invest morally/ethically can be informed of the cost of doing so. They can also compare portfolio with others that have similar holdings and constraints.

This paper not only includes Christian mutual funds in the research but also provides the performance of all constrained assets. It also compares religious funds with “SIN” industry, and thus quantifies the cost of “doing right.”

This paper aims to examine the effects of interest-free and interest-based monetary policy on inflation and unemployment rates for two groups of countries where in one group, interest-free monetary policy (IFMP) was pursued, while in the other group, interest-based monetary policy (IBMP) was followed.

This study involves a sample of 23 developed countries divided into two groups. The authors measure economic performance by misery index (MI), and MI is calculated as unemployment rate plus inflation rate. A group of countries, where MI is lower, performs better compared to the other group where MI is relatively higher.

The results reveal that in group of 12 countries where IFMP is adopted, the MI is lower and thus performs better compared to a group of countries where IBMP is pursued.

The findings of this study have profound implications for the policymakers and government leaders who look for a solution to maintain both low inflation and unemployment rates. The findings in this study clearly portray that such ideal situations can only be achieved by pursuing IFMP. No wonder the countries which have been historically pursuing IFMP such as Japan, Switzerland, Sweden, the Netherlands and Denmark have been able to contain both inflation and unemployment rates compared to their counterparts among the English-speaking countries.

This is one of the most recent tests on the differences in economic performance between IFMP and IBMP. These results have significant value for policymakers and central bankers who have been struggling to maintain lower MI for decades.

This paper aims to examine how a central bank (CB) can act as a lender of last resort (LOLR) for both Islamic and conventional interest-based banks by pursuing a Qard-al-Hasan (QH)-based monetary policy (MP).

The role of the CB as LOLR under QH-based MP and its effects on major macroeconomic variables, including deposits, loan creation and aggregate expenditures, are examined on theoretical grounds by using the aggregate output and aggregate expenditure model under the framework of Islamic MP.

When the CB acts as LOLR by pursuing QH-based MP, it automatically empowers Islamic banks (IBs) by providing access to borrowing funds from the CB on a QH basis. As a result, IBs will not be required to hold billions of dollars as liquid assets against liquidity risks. Thus, the lending capacity of IBs will increase and deposit expansion, loan creation and aggregate expenditures in the economy will all expand. This will in turn increase real GDP and employment while reducing the unemployment rate.

This is the first paper to analyze CBs acting as LOLR for both IBs and conventional interest-based banks by pursuing a QH-based MP, thus providing equal opportunities and equal access to borrowing facilities from the CB, along with equal partnership and fair competition for all and absolutely no discrimination to anyone. The LOLR service to all banks under QH-based MP will unveil a new horizon of opportunities where all financial institutions are expected to thrive. IBs will escape the constraints of the constant fear of liquidity risks and find a level-playing field.

This study aims to propose the adoption of artificial neural network (ANN)-based prediction intervals (PIs) to give more reliable prediction of labour productivity using historical data.

Using the proposed PI method, various sources of uncertainty affecting predictions can be accounted for, and a PI is proposed instead of a less reliable single-point estimate. The proposed PI consists of a lower and upper bound in which the realization of the predicted variable, namely, labour productivity, is anticipated to fall with a defined probability and represented in terms of a confidence level (CL).

The proposed PI method is implemented on a case study project to predict labour productivity. The quality of the generated PIs for the labour productivity is investigated at three confidence levels. The results show that the proposed method can predict the value of labour productivity efficiently.

This study is the first attempt in construction management to undertake a shift from deterministic point predictions to interval forecasts to improve the reliability of predictions. The proposed PI method will help project managers obtain accurate and credible predictions of labour productivity using historical data. With a better understanding of future outcomes, project managers can adopt appropriate improvement strategies to enhance labour productivity before commencing a project.

Point predictions provided by traditional deterministic ANN-based forecasting methodologies may be unreliable due to the different sources of uncertainty affecting predictions. The current study proposes ANN-based PIs as an alternative and robust tool to give a more reliable prediction of labour productivity using historical data. Using the proposed method, various sources of uncertainty affecting the predictions are accounted for, and a PI is proposed instead of a less reliable single point estimate.

The purpose of this paper is to analyze whether investors perceive the issuance of sukuk differently than they do in case of conventional bonds, by using event study with superior data. Then, it analyzes whether financial characteristics of issuers can explain the abnormal return and likelihood of sukuk issuance. Finally, the paper proposes a testable model explaining the investor reaction.

This paper uses market model event study to assess investor reaction to the issuance of sukuk. Then, linear and logistic regressions are used to test whether financial characteristics of issuers can explain the abnormal return and likelihood of sukuk issuance. To investigate the differences between sukuk issuers and bond issuers, this paper tests the difference in means of issuer characteristics. Finally, the sample is subdivided into good and bad firm prospects according to dividend/earnings ratio and book-to-market ratio. The subdivisions are used to test the proposed model explaining the investor reaction.

The study finds that a large variety of firms issues sukuk. The event study reports significant negative abnormal returns around the announcement date of sukuk issuance. The study also reveals that the earning prospect of issuer firms affect the investor reaction. Firms with lower earning prospect receive a negative reaction from the investors. Also, smaller, or financially unhealthy firms are more likely to issue sukuk. Smaller and riskier firms issue sukuk, because participation in the market is less constrained. In other words, the risk-sharing nature of sukuk might imply that the firm is not confident about the future prospect. However, if the firm has good earnings prospects, investors react to the issuance of sukuk negatively.

Reliability and availability of data is a hurdle to test the investor reaction model. As more data become available, the models implications can be further tested.

This paper uses the most complete set of data to study sukuk, making it the most selection bias-free and complete study. Moreover, the proposed investor reaction model will enrich the theory.