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This paper aims to evaluate the market concentration and competition in the European Banking Sector using an integrated multi-criteria decision-making approach under the fuzzy environment.

The hybrid model combining fuzzy decision-making trial and evaluation laboratory (DEMATEL), fuzzy analytic network process (ANP) and fuzzy VIKOR methods is applied to measure the market competition and concentration in the European Banking Sector. For this purpose, two academicians and one expert from banking sector with at least five-year experiences are selected to evaluate the dimensions, criteria and alternatives. The academicians are also appointed to define the decision-making problem and determine the dimensions and the criteria on the basis of related literature. The implementation of the model has been constructed in three main phases. The first phase consists of the fuzzy DEMATEL technique for understanding the impact-relation map among the dimensions. The second phase includes the fuzzy ANP method for measuring the relative importance of the criteria. The last phase comprises the fuzzy VIKOR approach to rank the alternatives with the values of the Herfindahl–Hirschman Index (HHI).

Turkey, France, England and Germany are placed in the competitive market structure of the European Banking Sector respectively. Additionally, the comparative results of the study confirm the market shares and the competitive policies of the European and Turkish Banking Sector.

The novelty of the paper is to construct a hybrid multi-criteria decision-making model with the proposed HHI scales under the fuzzy environment and defined competition dimensions and criteria based on the literature for the European Banking Industry.

The purpose of this paper is to present a multidimensional evaluation of brand equity performance incorporating dimensions adopted from the balance scorecard (BSC) approach to business performance.

In this study, text mining is used for automatic extraction of valuable information from textual data such as the financial reports of firms. Instead of expert opinions, linguistic scales built upon outcomes of text mining are used as inputs for decision-making. The proposed model combines fuzzy DEMATEL (FDEMATEL), fuzzy ANP (FANP), fuzzy TOPSIS (FTOPSIS) and fuzzy VIKOR (FVIKOR) methods for weighting criteria and ranking alternatives.

Using data from five privatized firms in Turkey, the study’s findings demonstrate that the customer is the most important dimension of brand equity performance evaluation. Cash flow and brand loyalty are identified as the most important criteria in the measurement of brand equity performance.

Findings highlight the importance of firms taking action to increase consumer perceptions, attitudes and behaviors in the privatization processes. For this purpose, privatized firms need to understand the expectations of customers to increase customer satisfaction and loyalty and therefore improve brand equity.

The paper contributes to literature in several important ways. First, by adopting the BSC approach, it proposes a holistic and a multidimensional model for measuring brand equity performance. Second, the study offers a novel methodology using a hybrid multi-criteria decision-making model designed for the fuzzy environment. Third, the study uses the knowledge extraction tool of text mining in the fuzzy decision-making process. Finally, the study evaluates the brand equity performance of privatized firms in an emerging country context.

Economic development is one of the primary goals of all countries. In this context, countries aim to determine effective and correct policies to achieve this goal. This situation is especially important for developing countries. These countries aim to grow their economies to reach the level of developed countries. This study aims to identify significant Islamic moral principles for sustainable economic growth of emerging seven (E7) countries.

In this framework, eight different criteria are defined to improve the welfare in the society for these countries. Additionally, fuzzy decision-making trial and evaluation laboratory (DEMATEL) approach is taken into consideration in the analysis process.

It is identified that Islamic moral values in economic activities, fair income distribution and taxation and prohibition of interest and securing business partnership are the most significant criteria. On the other side, it is found that preventing poverty and avoiding wastage are the influenced factors.

The findings show that righteousness in commercial activities decreases uncertainty in the market so that trade volume can be increased which contributes sustainable economic improvement. For this purpose, public awareness about the issue should be improved in the media and necessary trainings should be given to the people in their educations related to the business ethics. Furthermore, legal system in these countries should be improved to have fair income distribution and taxation. Additionally, social responsibility activities should be encouraged, so people with good income will help poor people. Moreover, business partnership system should be improved in which companies can obtain capital from the public and make necessary payments to these people according to the profit amount. This issue positively affects sustainability in economic improvement and welfare society for developing countries.

There are limited studies on sustainable economic development based on Islamic moral-based factors.

Firms operating in the service sector must have a dynamic structure to be competitive in a volatile business environment. The dynamic structure brings skilled employees and talented managers together to create effective strategies for global competition. In traditional retail service companies, the majority of the staff interacts intensively with the clients and engaged in advanced facilities. The purpose of this research is to evaluate the performance results of the banks in Turkey based on the level of customer service and satisfaction within an interdisciplinary frame.

The fuzzy VIKOR and AHP method has been applied to analyse the performance levels of Turkish banks registered in Borsa Istanbul. In order to obtain the dynamics of data, the customer satisfaction competencies have been identified as the reference points for experts.

The empirical results confirm that the performance results of the banks vary based on customer satisfaction level and ownership types. The fundamental conclusion clarifies the facilities of the state-owned banks are suitable for meeting customer expectations, private bank's performance level is higher than foreign banks, foreign banks have the weakest performance results based on customer satisfaction level with a negative financial outcomes in local countries and finally, state-owned banks with their strong assets serve the customers in expected manner.

Generating sales revenue based on effective customer services and quality improvement requires prompt response to changing competitive conditions and customer demands. Effective customer service in performance evaluation process has a strategic role in adopting competitive strategies. The originality of the study is to evaluate the performance results of the customer satisfaction using the hybrid approach under the fuzzy environment.

Owing to the dramatic rise of FinTech credit in the financial sector, this study describes its knowledge and intellectual structure and paves the way for future research.

The study employs citation analysis, keyword analysis, co-author analysis, co-citation analysis and bibliographic coupling on 268 peer-reviewed articles published during 2010–2021 and extracted from the Web of Science database.

Research on FinTech credit has picked up momentum from 2016, with majority contributions from China, followed by UK and USA. International Journal of Bank Marketing is found to be the most productive journal. Co-citation analysis reveals that past studies have focused on three dominant themes, viz. (a) factors that influence user intention to adopt technological products and services (b) borrowers' and lenders' characteristics that impact fund-raising in FinTech credit platforms and (c) evolution of FinTech market over the years. Bibliographic coupling reveals that recent trends in FinTech credit include (a) impact of emerging technologies like blockchain, artificial intelligence, big data on financial system, (b) factors that encourage consumers to adopt the FinTech products and services, (c) mechanisms by which FinTechs have transformed formal credit markets, (d) factors that lead to successful fundraising in FinTech platforms and (e) critical perspectives on digital lending platforms.

To the best of the authors' knowledge, this is a pioneering study undertaking an exhaustive analysis of FinTech credit as a research area. The study offers valuable insights on potential topics of research in FinTech credit domain like investigating Balance Sheet Lending Model, investigating the impact of FinTechs on financial system, and new markets by collaborating with scholars of other regions.

This paper aims to investigate the environmental impact of various pollutant emissions including carbon monoxide (CO), carbon dioxide (CO₂), nitrogen oxide (NO_x) and hydrocarbon (HC) from aircraft exhaust gases during the landing and take-off (LTO) cycles at Eskisehir Hasan Polatkan Airport, Turkey, between 2017 and 2018.

The methodology approach used to calculate the emissions from aircrafts is based on the ICAO databank and the actual data records taken from Presidency of The Republic of Turkey Directorate of Communications (DoC).

The maximum amount of total fuel burnt during the two years is 80.898 and 70.168 tons in 2017 and 2018, respectively, while the average fuel burnt per year from 2017 to 2018 is approximately 369.773 tons. The highest CO, CO₂, NO_x and HC emissions are found to be 248.3 kg in 2017, 261.380 tons, 1.708 tons and 22.15 kg, during the 2018 year, respectively. Average CO, HC, NO_x and CO₂ emissions amount per year are observed to be 1.392 tons, 135 kg, 6.909 tons and 1,143 tons, respectively. Considering the average of total emission amount as an environmental factor, as expected, CO₂ emissions contributed the most to the total emissions while HC emissions contributed the least to the total emissions from the airport.

The study presents the approach in determining the amounts of emissions released into the interannual atmosphere and it explicitly provides researchers and policymakers how to follow emissions from commercial aircraft activities at different airports.

The value of the study lies in the transparent computation of the amounts of pollutants by providing the data directly from the first hand-DoC.

The research on causes of economic performance has largely focused on economic factors. However, a simple focus on economic indicators cannot cause sustained equilibrium of economic performance. Social solidarity is of central importance in the fall or rise of a civilization. This study aims to analytically explore and empirically test the relationship of social capital with economic performance of the Muslim world using Islamic perspectives and an inclusive development approach.

This study uses a new index of “interpersonal safety and trust” to measure social capital. The empirical analysis is based on both cross-sectional and panel data methods of estimations.

The empirical findings of the study show that social capital is an important cause of economic performance in the Muslim world. The findings of the study are shown to be robust to different specifications, additional controls, econometric techniques and outliers.

To the best of the authors’ knowledge, this is first study of its kindly that analytically explores and empirically tests the relationship of social solidarity with economic performance of the Muslim world using Islamic perspectives.

The purpose of this paper is to predict the amount of energy consumption by using a suitable statistical method in some sectors and energy carriers, which has shown a significant correlation with greenhouse gas emissions.

After studying the correlation between energy consumption rates in different sectors of energy consumption and some energy carriers with greenhouse gas distribution (CO₂, SO₂, NO_X and SPM), the most effective factors on pollution emission will be first identified and then predicted for the next 20 years (2015 to 2004). Furthermore, to determine the appropriate method for forecasting, two approaches titled “trend analysis” and “double exponential smoothing” will be applied on data, collected from 1967 to 2014, and their capabilities in anticipating will be compared to each other contributing MSD, MAD, MAPE indices and also the actual and projected time series comparison. After predicting the energy consumption in the sectors and energy carriers, the growth rate of consumption in the next 20 years is also calculated.

Correlation study shows that four energy sectors (industry sector, agriculture, transportation and household-general-commercial) and two energy carriers (electricity and natural gas) have shown remarkable correlation with greenhouse gas emissions. To predict the energy consumption in mentioned sectors and carriers, it is proven that double exponential smoothing method is more capable in predicting. The study shows that among the demand sectors, the industry will account for the highest consumption rate. Electricity will experience the highest rate among the energy careers. In fact, producing this amount of electricity causes emissions of greenhouse gases.

Access to the data and categorized data was one of the main limitations.

By identifying the sectors and energy carriers that have the highest consumption growth rate in the next 20 years, it can be said that greenhouse gas emissions, which show remarkable correlation with these sectors and carriers, will also increase dramatically. So, their stricter control seems to be necessary. On the other hand, to control a particular greenhouse gas, it is possible to focus on the amount of energy consumed in the sectors and carriers that have a significant correlation with this pollutant. These results will lead to more targeted policies to reduce greenhouse gas emissions.

The tendency of communities toward industrialization along with population growth will doubtlessly lead to more consumption of fossil fuels. An immediate aftermath of burning fuels is greenhouse gas emission resulting in destructive effects on the environment and ecosystems. Identifying the factors affecting the pollutants resulted from consumption of fossil fuels is significant in controlling the emissions.

Such analyses help policymakers make more informed and targeted decisions to reduce greenhouse gas emissions and make safer and more appropriate policies and investment.

This paper aims to explore the drivers of banking stability in the case of QISMUT+3 countries (Qatar, Indonesia, Saudi Arabia, Malaysia, United Arab Emirates, Turkey, Pakistan, Kuwait and Bahrain) focusing on social and governmental responsibility (SGR) determinants. Both main indicators of banking stability, namely, profitability and nonperforming loans, were treated as dependent variables. The model is examined with the whole sample and separately by examining commercial banks and Islamic banks.

Cross-country bank-level panel data spanning from 2011 to 2018 is used. Two-step system generalized methods of moments alongside both panel-corrected standard error and feasible generalized least squares models were applied to ensure the robustness of the results.

Findings reveal that capital adequacy and corruption control are the most dominant determinants of banking profitability in the studied sample regardless of the type of the bank. In addition, profitability, efficient management, inflation and government effectiveness were found to be the main drivers of financial vulnerability risk.

Findings of this study offer many insights and policy implications to help stakeholders gain a comprehensive understanding of banking stability. Suggested policy implications targeting bank management, governmental policymakers and investors are offered to better the banking stability of QISMUT+3 countries.

This paper has multiple contributions to the existing literature. The determinants of banking stability are examined in QISMUT+3 group of countries which is the focus of a limited number of studies. In addition, the use of a comprehensive variable set alongside the addition of SGR determinants in the case of banking system stability is one of the main contributions of this paper.