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In literature, a vast number of researches have tried to analyse the interaction between different financing methods and corporate governance. Some believe that good corporate governance companies are more successful in equity financing whereas others believe in positive relationship between corporate governance and debt finance. In this chapter, the authors analyse the interaction between sukuk financing and corporate governance. The authors first tried to differentiate between the financer and company's point of view in the financing decisions of different corporate governance quality companies, and then showed that, theoretically, there should be a positive relationship between murabahah sukuk and ijarah sukuk issuance and the corporate governance quality of companies in both types of views. The corporate governance characteristics of sukuk issuing companies in Iran are also analysed. The results from model estimation confirmed theoretical conclusion and corporate governance variables had positive and significant effects on the Sukuk issuance among Iranian Sukuk issuer companies.

This study attempts to explain the impact of Fintech on the Asian economies through two main indicators, inflation and unemployment over the period 2011-2014-2017.

This study uses panel data regression models to explain the relationship between Fintech, inflation as an indicator of currency circulation and unemployment since Fintech has disrupted the labor market.

Empirical results show a consistently strong and positive relationship between the development of financial technologies and the reduction of inflation and unemployment unless these technologies are actively used. Digital finance has become a new driver of economic development. Therefore, governors should not only improve their economies but also expand their information and communication technologies to develop their digital infrastructure, especially for businesses.

The present study contributes to the existing literature on the impact of disruptive digital innovation on the socioeconomic development of emerging countries. The empirical evidence highlights the importance of distinguishing between active and passive uses of Fintech in order to anticipate its economic impact.

The literature about the dynamics of Muslims' awareness and perception of waqf has been generally scarce,especially in Nigeria. As renewed efforts are emerging to develop a new waqf regime in the country, this study examines this aspect in Gombe metropolis, Nigeria, with a view to identifying the key factors shaping people's perception and awareness towards waqf.

To achieve the objective of this study, primary data were collected through a survey among 494 business owners in the Gombe metropolis. The data were then analysed using probit and Tobit regression models.

The study found that altruistic behaviour, religiosity level, educational level and young age are among the factors that determine people's perception and awareness towards donating to waqf among business owners in Gombe. Altruism and young age embolden businesspersons to recognise the effectiveness of waqf institutions in solving socioeconomic challenges.

The findings of this study imply that waqf has huge potential in the study area and that with well-structured, organized waqf education programmes within the business community using diverse avenues, a robust waqf sector can be developed.

As far as the study area and the entire Nigerian Islamic economics and finance landscape is concerned, the study has explored a novel research area. Given the infant stage of empirical studies on waqf in Nigeria, there are virtually no previous attempts to examine the awareness and perception of businesspersons towards waqf; variables that are key to the development of an effective sector.

This paper aims to investigate the relationship between capital risk and efficiency of Islamic and conventional banks operating in Bangladesh. In this pursuit, the research attempts to answer these questions: do inefficient banks assume more risk? Is there any major difference between Islamic and conventional banks in terms of efficiency and risk taking behavior?

The study collects various bank-level data from the audited financial statements of Islamic and conventional banks for the period of 2001 to 2011. Collected data are analyzed using Stochastic Frontier Analysis for efficiency estimation and Seemingly Unrelated Regression (SUR) approach for assessing the relationship between capital, risk, and efficiency.

Analysis of data shows that conventional banks are more efficient in managing cost than Islamic banks. Moreover, the SUR results show that the relation between capital and efficiency are bidirectional and negative, whereas the relation between capital and risk is also bidirectional but positive for Islamic banks. On the other hand, risk and efficiency are positively related, and the result is bidirectional for conventional banks.

The research concentrates on private-commercial banks as proxy for conventional banks. State-owned banks including specialized banks and foreign commercial banks are excluded from the sample due to various anomalies in reporting of financial data.

There is a lot of room for Islamic banks to increase productive efficiency because cost efficiency of Islamic banks is less than that of the conventional banks. This can be attributed to the relative small size of Islamic banks in Bangladesh. Because there exists a positive relationship between size and efficiency for Islamic banks, they can concentrate on increasing their size to capitalize on economies of scale. Moreover, the analysis shows that inefficient conventional banks assume higher risk which conforms to moral hazard hypothesis. Therefore, regulatory authorities should discourage banks from exercising such practice for the greater stability of the overall banking system in Bangladesh.

A good number of studies is available in the existing literature that compares the performance of Islamic and conventional banks in the case of Bangladesh. However, very few studies are found that examine the relationship between capital, risk and efficiency. Therefore, the research is new for the selected area. As a result, the research is expected to contribute to the existing literature by providing new information.

The house not only provides shelter and security but also is a reflection of human privacy. One of the important factors involved in house design is privacy. The current research is a case study that examines privacy's evolution in contemporary houses in Kerman using space syntax techniques.

This study is based on the quantitative approach of space syntax. A total number of 15 houses in Kerman built in three periods of Qajar, Pahlavi and the Islamic Republic, were examined for the space syntax indices using UCL DepthMap. The DepthMap outputs were also analyzed using one-way ANOVA.

The findings indicated that the arrangement of spaces in houses has altered over time from the 1920s onwards. There is a significant difference between houses of the Qajar, Pahlavi and the Islamic Republic eras, indicating a reduction in the hierarchy of access and reduced privacy in houses in the Islamic Republic.

Numerous factors affect privacy (e.g. confidentiality, interface spaces, quality of openings and visibility). Nevertheless, this study focused on the impact of spatial configuration on privacy. It can be stated that the design of houses from the Pahlavi period was gradually associated with changes in culture and modern architecture, leading to a decrease in privacy.

This study used space syntax to examine the evolution of privacy in contemporary Iranian houses. Since privacy is a substantial issue in the middle east communities, the findings can help designers and relevant organizations consider privacy as much as other comfort factors in the early stages of design.

A new method for forecasting wind turbine capacity of China is proposed through grey modelling technique.

First of all, the concepts of discrete grey model are introduced into the NGBM(1,1) model to reduce the discretization error from the differential equation to its discrete forms. Then incorporating the conformable fractional accumulation into the discrete NGBM(1,1) model is carried out to further improve the predictive performance. Finally, in order to effectively seek the emerging coefficients, namely, fractional order and nonlinear coefficient, the whale optimization algorithm (WOA) is employed to determine the emerging coefficients.

The empirical results show that the newly proposed model has a better prediction performance compared to benchmark models; the wind turbine capacity from 2019 to 2021 is expected to reach 275954.42 Megawatts in 2021. According to the forecasts, policy suggestions are provided for policy-makers.

By combing the fractional accumulation and the concepts of discrete grey model, a new method to improve the prediction performance of the NGBM(1,1) model is proposed. The newly proposed model is firstly applied to predict wind turbine capacity of China.

The research objective is to increase the computational efficiency of the automated teller machine (ATM) cash demand forecasting problem. It proposes a practical decision-making process that uses aggregated time series of a bank's ATM network. The purpose is to decrease ATM numbers that will be forecasted by individual models, by finding the machines’ cluster where the forecasting results of the aggregated series are appropriate to use.

A comparative statistical forecasting approach is proposed in order to reduce the calculation complexity of an ATM network by using the NN5 competition data set. Integrated autoregressive moving average (ARIMA) and its seasonal version SARIMA are fitted to each time series. Then, averaged time series are introduced to simplify the forecasting process carried out for each ATM. The ATMs that are forecastable with the averaged series are identified by calculating the forecasting accuracy change in each machine.

The proposed approach is evaluated by different error metrics and is compared to the literature findings. The results show that the ATMs that have tolerable accuracy loss may be considered as a cluster and can be forecasted with a single model based on the aggregated series.

The research is based on the public data set. Financial institutions do not prefer to share their ATM transactions data, therefore accessible data are limited.

The proposed practical approach will be beneficial for financial institutions to use, that hold an excessive number of ATMs because it reduces the computational time and resources allocated for the forecasting process.

This study offers an effective simplified methodology to the challenging cash demand forecasting process by introducing an aggregated time series approach.

The purpose of this paper is to examine the feasibility and design of zero-energy buildings (ZEBs) in cold and semi-arid climates. In this study, to maximize the use of renewable energy, energy consumption is diminished using passive solar architecture systems and techniques.

The case study is a residential building with a floor area of 100 m² and four inhabitants in the cold and semi-arid climate, northeast of Iran. For thermal simulation, the climate data such as air temperature, sunshine hours, wind, precipitation and hourly sunlight, are provided from the meteorological station and weather databases of the region. DesignBuilder software is applied for simulation and dynamic analysis of the building, as well as PVsyst software to design and evaluate renewable energy performance.

The simulation results show a 30% decrease in annual energy consumption of the building by complying with the principles of passive design (optimal selection of direction, Trombe wall, shade, proper insulation selection) from 25,443 kWh to 17,767 kWh. Then, the solar energy photovoltaic (PV) system is designed using PVsyst software, taking into account the annual energy requirement and the system’s annual energy yield is estimated to be 26,291 kWh.

The adaptive comparison of the values obtained from the energy analysis indicated that constructing a ZEB is feasible in cold and semi-arid conditions and is considered an effective step to achieve sustainable and environmentally friendly construction.