Search Results (114)

Although research on religion has gained increasing attention, few studies have examined its connection to consumer identity and how it influences purchasing decisions. This gap is especially noticeable when it comes to decision-making around religious services. Previous studies on what influences consumers’ choice of banks have produced mixed findings on the role of religion. This study explores how multiple identities shape the decision to use non-Islamic banking services in Pakistan, where Muslim consumers can choose between Islamic (religious) and non-Islamic (non-religious) banking options. Using a qualitative approach, the research focuses on Muslims who opt for non-Islamic banking to understand the factors behind their choice. Findings reveal that role identity—especially as a son or daughter—plays a key role in bank selection, even when religion is important to the individual. However, identity conflicts arise as people navigate different aspects of their identity. Surprisingly, group identity had little influence on these banking decisions. Full article

This study investigates the impact of digital transformation on corporate tax avoidance in the banking industry, focusing on banks in the Middle East and North Africa (MENA). This study employs regression analysis on a sample of 123 banks in the MENA region, covering the period from 2011 to 2022. The results indicate a negative relationship between digital transformation and tax avoidance, with conventional banks showing a stronger inclination to adopt these trends compared to Islamic banks. Digital transformation is identified as an effective mechanism that enhances transparency and mitigates tax avoidance activities. Full article

The current study examines the application of advanced machine learning (ML) techniques for forecasting credit risk in Islamic (participation) and traditional banks in the United Kingdom in 2010–2023. Leveraging an equally weighted panel dataset and guided by robust empirical literature, we integrate structural econometric modeling—i.e., the stochastic frontier approach (SFA) to measuring the Lerner index of market power—with current best-practice tree-based ML algorithms (CatBoost, XGBoost, LightGBM, and Random Forest) to predict non-performing loans (NPLs). The results show that bank-level financial performance measures, particularly loan ratio, profitability, and market power, outperform macroeconomic factors in forecasting credit risk. Among the models tested, CatBoost was more accurate and explainable, as confirmed by SHAP-based explainability analysis. The implications of the research have practical applications for risk managers, regulators, and policymakers in terms of valuing the explanatory power of explainable AI tools to enhance financial oversight and decision-making in post-crisis UK banking. Full article

The recent transformation in Libya’s banking industry, driven largely by the Central Bank of Libya, has led to increased financial inclusion, enhanced banking services, and the adoption of digital banking technologies. While most banks have rapidly transitioned from traditional data analysis methods to using Artificial Intelligence (AI) for daily transaction analysis, the impact of AI on sustainable innovation performance and organizational learning remains underexplored. This study, grounded in dynamic capabilities theory, investigates the mediating role of organizational learning in the relationship between AI adoption in the banking sector and sustainable innovation performance. Data were collected from 401 employees across Libya’s conventional and Islamic banking sectors using a judgmental sampling technique. Partial Least Squares Structural Equation Modeling (PLS–SEM) was used to analyze the data and assess the relationships among the variables. The findings indicate that AI adoption significantly and positively influences sustainable innovation performance and organizational learning. Additionally, organizational learning was found to have a significant positive effect on sustainable innovation performance and to partially mediate the relationship between AI adoption and innovation performance. The study recommends that bank management teams implement training programs to enhance employees’ understanding of AI applications, sustainability objectives, and innovative financial services to improve overall efficiency. Full article

This study examines the performance and resilience of Islamic banks during the COVID-19 pandemic, a period marked by unprecedented global economic disruption. Drawing on empirical data and a comparative analysis with conventional banking institutions, the research evaluates key financial indicators—liquidity, profitability, asset quality, and capital adequacy—to assess how Islamic banks responded to the crisis. The unique principles of Islamic finance, including risk-sharing, asset-backed financing, and the prohibition of interest and speculative activities, provide a distinct framework for crisis response. By analyzing how these features influenced bank performance during the pandemic, the study offers valuable insights into the relative robustness of Islamic versus conventional banking models. The findings contribute to the academic discourse on financial stability and risk management, offering practical implications for policymakers, regulators, and stakeholders to strengthen financial systems against future global shocks. Full article

Globally, financial inclusion is regarded as being crucial for balancing an economy’s financial system. However, despite the significance of financial inclusion, it still needs to be clarified to identify what factors are responsible for the diverse trend of financial inclusion in the forty-five Sub-Saharan Africa (SSA) countries from 1999 to 2024. The main rationale of the study empirically investigated these determinants of financial inclusion in forty-five Sub-Saharan Africa (SSA) countries from 1999 to 2024, which covers three distinct periods: which is the pre-COVID, 2020–2022 is the COVID period, and the post-COVID period from 2023 onward, but examined as a whole from 1999 to 2024 for easy policy formulation for SSA countries. The study was anchored on two main research objectives: firstly, to examine the factors influencing financial inclusion in Sub-Saharan Africa (SSA) in these three distinct periods, and lastly, to present the policy implications of the result of these factors in enhancing financial inclusion in the post-COVID era in SSA. The study used the Panel Least Squares (PLS) technique in the data analysis. The result revealed that economic growth (GRO), Islamic banking (ISMAIC), money supply (MSS), internet users (USERS), and credit availability (CREDIT) positively and significantly enhance financial inclusion with coefficients of 0.001298, 4.926809, 1.08 × 10⁻⁶, 0.459388, and 0.657431, respectively, with significant p-values of 0.0008, 0.0023, 0.0000, 0.0000, and 0.000, respectively. On the flip side, internet servers (SERVER) have a negative coefficient value of 4.63 × 10⁻⁶ with a p-value of 0.000. Though inflation (INFL) and interest rate (INT.) have negative coefficient values of −0.02853 and −0.08317, they have insignificant p-value impacts of 0.2841 and 0.2501, respectively. The result indicates that many of the variables have a significant impact on financial inclusion. This is shown from the probabilities of the t statistics of each of the independent variables in the estimated model, which are significant at the 5% level. The policy implications of these results include the following: firstly, SSA governments should promote economic growth through investment in productive sectors, infrastructure development, and job creation programs to indirectly improve financial inclusion. Secondly, SSA countries’ policymakers should maintain price stability through sound monetary and fiscal policies to ensure inflation does not hinder access to financial services. Thirdly, SSA countries’ governments and central banks should promote lower interest rates and enhance credit accessibility, especially for marginalized groups, through subsidized loans and targeted credit schemes. Fourthly, policymakers should support the expansion of Islamic finance by improving regulatory frameworks and increasing awareness about Sharia-compliant financial products. Full article

Green banking has become a concept of interest, particularly with the focus on the role played by banks in pursuing Sustainable Development Goal 13 on climate action. This study is distinguished from previous ones in that it aimed at investigating the multi-regional view on green banking practices/activities around the world with a special emphasis on the opportunities and challenges that various banks encounter in different geographical areas. A systematic review approach was adopted based on the Web of Science and Scopus databases, in which 159 articles were retrieved and 62 articles synthesized through a thematic analysis. The research process was demonstrated through a Prisma 2020 flowchart. Key multiregional green banking activities identified include digital banking, green loan or sukuk products for Islam-dominated economies, green services and investments, and financing of green infrastructure. In essence, the implementation of green banking is either directly through active green lending and greening their operations or indirectly through enhancing conditions. The key challenges identified include regulatory handles, social economic and culture hinderances, transition risk and the high cost of compliance, greenwashing concerns, and weak investor confidence. The most prevalent opportunities included green banking as a strategic competitive advantage, emerging market niche, and as a strategy for long-term climate risk management. Full article

The study documents the achievements of the Islamic Banking Services Industry (IBSI) in light of Islamic finance objectives (including commercial performance, financial stability, and wealth distribution). A balance sheet analysis of IBSI in the United Arab Emirates (UAE) for 33 quarters (2013 Q4–2021 Q3) is conducted, focusing on sources and uses of funds, as well as documentation of commercial performance. The findings suggest that the UAE IBSI has remained successful in achieving its micro/primary objectives (commercial performance) and made progress towards partial achievement of its macro/intermediate objectives (financial stability and equitable wealth distribution). While evidence suggests achievements in the area of financial stability, the aspect of equity in wealth distribution requires more focus. The study recommends that regulators develop a legal framework focusing on the business models for IBSI, aimed at achieving broader economic objectives. It is also recommended that managers of UAE IBSI include profit and loss-sharing contracts in deposit collection, financing and investment portfolios. The contribution to the literature includes the documentation of findings on the achievements of UAE IBSI in financial performance, as well as its broader economic objectives within the Islamic financial system. Full article

The purpose of this study is to investigate the influence of environmental disclosure and corporate governance on the financial performance of Islamic banks in Saudi Arabia. This study highlights that sustainable practices are transparent with financial objectives using the religious framework of Islamic finance. This research is based on Worldwide Vision 2030, which covers sustainable development and promotes environmental, social, and governance (ESG) principles, as well as corporate governance factors, such as board composition and Shariah Supervisory Boards (SSBs). We use a hybrid approach for our findings, with a dataset spanning 2011–2023 for the quantitative analysis and 20 semi-structured analyses conducted for a qualitative approach that aligns with objectives. We found that environmental disclosure boosts profits and stakeholder trust. Corporate governance structures, such as environmental boards and sustainability committees, improve the environmental disclosure of financial performance in Islamic banks. In this positive interaction, specialized governance drives Sharia-compliant sustainability initiatives. SSBs help Islamic banks integrate sustainability and meet religious and ESG environmental standards. Board diversity and dedication in the sustainability committee both play important roles in enhancing environmental disclosure practices; in return, these improved financial performances. The interaction of environmental disclosure and board environmental expertise has a positive impact on the overall performance, which indicates that governance structure supports sustainability-related decision-making, aligning with transparency. This study suggests that Islamic banks standardize ESG frameworks, improve board environmental expertise, and invest in real-time sustainability reporting digital solutions. Saudi Islamic banks can lead regional and global sustainable banking by adopting these strategies to align with global sustainability trends, improve financial performance, and meet ethical finance expectations. Full article

While prior research has established direct relationships between strategic risk integration and ESG performance in banking, critical gaps remain in understanding the transformation mechanisms, particularly in emerging markets. This study investigated how banking innovation capacity mediates the relationship between strategic risk integration and ESG performance in Jordanian banks. Drawing on dynamic capabilities theory and questionnaire data from 165 banking executives (71.7% response rate), the results revealed that strategic risk integration significantly influences ESG performance both directly and indirectly through banking innovation capacity. The multi-group analysis showed institutional invariance between commercial and Islamic banks, suggesting the generalizability of these relationships. The findings advance dynamic capabilities theory by demonstrating innovation capacity’s role as a transformative mechanism in banking sustainability and provide practical insights for emerging market banks seeking to enhance ESG performance through integrated risk management and innovation strategies. Full article

This study addresses FinTech implementation challenges in the banking industry in Palestine. This was accomplished by adopting qualitative research methods. Semi-structured interviews were conducted with interviewees from the Palestinian Monetary Authority, banks, and FinTech companies. Thematic analysis was conducted using NVivo 12 software to identify themes in the interview scripts. Research outcomes suggest that FinTech development in Palestine encounters a range of multifaceted challenges, which can be categorised using the TOE (technological, organisational, environmental) framework. On the technological front, issues such as underdeveloped IT and telecommunications infrastructure, restricted mobile frequencies due to Israeli occupation, limited IT expertise, cyber risks, low digital literacy, and minimal FinTech awareness hinder progress. Organizationally, resistance to change, inadequate agility, limited digital skills, and slow Sharia compliance updates in Islamic banking impede innovation. Environmentally, the absence of a dedicated FinTech framework, unclear regulatory guidance, limited market size, and strict AML/CFT regulations create uncertainties for non-bank entities and restrict investment opportunities. Addressing these interconnected barriers requires coordinated efforts across legal, financial, and technological sectors to foster FinTech integration and growth in Palestine. Full article

This study documents the comparative financial performance of the Islamic Banking Services Industry (IBSI) in the Gulf Cooperation Council (GCC) region. After drawing the performance evaluation framework (based on the CAMEL framework), the research conducted data analysis of the Islamic Banking Services Industry (IBSI) in the GCC region for 31 quarters (2013Q4–2021Q4). The analysis examines capital adequacy, asset quality, management performance, earnings, and liquidity management. Objectively classified data trends are reported through graphs. Additionally, the research documents internal determinants of financial performance. Findings suggest that the GCC-IBSI has shown overall progress in achieving primary objectives (commercial performance), including healthy capital adequacy, cost control, equity returns, and liquidity management. Capital adequacy, cost control, and liquidity management significantly contribute to financial performance. Managerial implications include cost control, reduction in non-performing loans, and prudent liquidity management. There exist opportunities in the GCC-IBSI for investors, given the mismatch in demand and supply of Islamic financial services. This study contributes to the literature by documenting findings on the achievements of the primary objective of IBSI in multiple GCC-IBSI markets comparatively. Full article

This study analyzes and investigates how financial factors, namely, derivatives, debt shifting, and transfer pricing, influence tax avoidance, with financial distress as an interaction variable, within the framework of stakeholder theory and positive accounting theory. Adding more uniqueness, this study injected the Maqasid Syariah elements into the framework. Conventional banks and non-bank institutions listed on the Indonesia Stock Exchange (IDX) between 2017 and 2022 were selected, comprising 414 final company-year observations. The study utilized E-Views software for data processing. The findings indicate that debt shifting negatively impacts tax avoidance, while derivatives have no significant influence. Transfer pricing positively impacts tax avoidance. Financial distress does not moderate the relationship between these financial practices and tax avoidance. From an Islamic perspective, practices such as transfer pricing and debt shifting, when used to avoid tax, contradict the principles of Maqasid Syariah, which emphasize fairness, wealth distribution, and societal welfare. Full article

This study addresses the critical challenge of predicting liquidity risk in the banking sector, as emphasized by the Basel Committee on Banking Supervision. Liquidity risk serves as a key metric for evaluating a bank’s short-term resilience to liquidity shocks. Despite limited prior research, particularly in anticipating upcoming positions of bank liquidity risk, especially in Iranian banks with high liquidity risk, this study aimed to develop an AI-based model to predict the liquidity coverage ratio (LCR) under Basel III reforms, focusing on its direction (up, down, stable) rather than on exact values, thus distinguishing itself from previous studies. The research objectively explores the influence of external signals, particularly news sentiment, on liquidity prediction, through novel data augmentation, supported by empirical research, as qualitative factors to build a model predicting LCR positions using AI techniques such as deep and convolutional neural networks. Focused on a semi-private Islamic bank in Iran incorporating 4,288,829 Persian economic news articles from 2004 to 2020, this study compared various AI algorithms. It revealed that real-time news content offers valuable insights into impending changes in LCR, particularly in Islamic banks with elevated liquidity risks, achieving a predictive accuracy of 88.6%. This discovery underscores the importance of complementing traditional qualitative metrics with contemporary news sentiments as a signal, particularly when traditional measures require time-consuming data preparation, offering a promising avenue for risk managers seeking more robust liquidity risk forecasts. Full article

This study examines the applications, benefits, challenges, and ethical considerations of artificial intelligence (AI) in the banking and finance sectors. It reviews current AI regulation and governance frameworks to provide insights for stakeholders navigating AI integration. A descriptive analysis based on a literature review of recent research is conducted, exploring AI applications, benefits, challenges, regulations, and relevant theories. This study identifies key trends and suggests future research directions. The major findings include an overview of AI applications, benefits, challenges, and ethical issues in the banking and finance industries. Recommendations are provided to address these challenges and ethical issues, along with examples of existing regulations and strategies for implementing AI governance frameworks within organizations. This paper highlights innovation, regulation, and ethical issues in relation to AI within the banking and finance sectors. Analyzes the previous literature, and suggests strategies for AI governance framework implementation and future research directions. Innovation in the applications of AI integrates with fintech, such as preventing financial crimes, credit risk assessment, customer service, and investment management. These applications improve decision making and enhance the customer experience, particularly in banks. Existing AI regulations and guidelines include those from Hong Kong SAR, the United States, China, the United Kingdom, the European Union, and Singapore. Challenges include data privacy and security, bias and fairness, accountability and transparency, and the skill gap. Therefore, implementing an AI governance framework requires rules and guidelines to address these issues. This paper makes recommendations for policymakers and suggests practical implications in reference to the ASEAN guidelines for AI development at the national and regional levels. Future research directions, a combination of extended UTAUT, change theory, and institutional theory, as well as the critical success factor, can fill the theoretical gap through mixed-method research. In terms of the population gap can be addressed by research undertaken in a nation where fintech services are projected to be less accepted, such as a developing or Islamic country. In summary, this study presents a novel approach using descriptive analysis, offering four main contributions that make this research novel: (1) the applications of AI in the banking and finance industries, (2) the benefits and challenges of AI adoption in these industries, (3) the current AI regulations and governance, and (4) the types of theories relevant for further research. The research findings are expected to contribute to policy and offer practical implications for fintech development in a country. Full article