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Studies on the impact of digitalisation on bank credit allocation are relatively scarce. Digital technologies have a significant impact on economic growth, the labour market, commodity and asset prices, and international trade. The recent surge in innovation and digitalisation within the financial sector has brought about tremendous changes in bank business models and credit distribution, significantly affecting economic growth. Digital transformation has led to a new banking business model of collaboration between emerging Fintechs and conventional commercial banks, often called a “partnership model”. Here, the banking system is viewed as the evolutionary outcome of monetary financial institutions, constantly adapting to technological change. This ongoing evolution has determined the pattern of credit allocation, ultimately shaping its effects on economic growth. Drawing upon authoritative primary data and sector-specific lending indicators, this study seeks to advance existing scholarly research regarding the impact of digital transformation on bank credit allocation. The contribution of this research stems from comparing the digital transformation of banking systems in the UK and Denmark and examining how digitalisation has led to divergent trajectories in bank credit allocation. The study explores credit allocation under the digital transformation of banking and its effect on overall economic growth. In this sense, bank credit allocation extends beyond traditional industrial firms to reach various other sectors of the economy. Specifically, this research demonstrates how technological advancements in the banking sector directly impact overall economic performance, drawing on empirical evidence from the UK and DK as selected case studies. Empirical evidence demonstrates that bank lending has prioritised credit for financial market trading and real estate mortgages at the expense of the productive sector. This is particularly evident in the ever-growing volume of lending directed toward already existing assets. The prevalence of non-productive credit effectively illustrates that the banking system is increasingly driving the financialisation of the economy.  

There is a limited understanding of the emerging technologies, such as blockchain, artificial intelligence (AI), Internet of Things (IoT), and machine learning (ML) and their effect on the insurance sector in the Saudi Arabian market. A structural equational modelling was implemented to investigate the impact of emerging technology on customer experience, business productivity, risk management, and financial performance in Saudi insurance companies. Online surveys were directed to the insurance sector to explore their perceptions of the use of technology and its effect in 2024. The sample includes 102 valid responses in the data analysis. The findings show that the development and integration of technology in the Saudi Arabian insurance sector significantly improve customer experience, business productivity, risk management, and financial performance, which aligns with accelerated transformation in the market to achieve the main goals of the Saudi Vision 2030. 

The study focuses on the basic variables of the knowledge economy, where aims to know the role of the knowledge economy in the banking sector and solving the problems facing Libyan commercial banks in the development of banking services. In order to achieve the main purpose of the study, we used the descriptive-analytical method, by using the questionnaire. Where we surveyed a total of 320 employees at six commercial banks operating in the eastern region of Libya. Through incoming questionnaires, we have analyzed 299 questionnaires. The results of the analysis showed a positive relationship between the knowledge economy and the development of banking services and that the knowledge economy plays an active role in the development of banking services, as the sub-variables of the knowledge economy are knowledge, skills, education, IT infrastructure, speed, access to service, research and development, Innovation, institutional regime, economic incentives as well as the sub-dimensions of the developing of banking services that represented in online banking, data transfer services, the use of technology, and customer relations. all of them show a high positive relationship among them. Also, the study includes information on whether there are differences between the knowledge economy and the development of banking services in the banks included in the research. The results of the study showed that knowledge, skills, training, economic incentives, and institutional regime vary according to banks