Nowadays internet has a key role in interaction between peoples and their businesses (such as banking). One of domain which uses this new communication channel for more and better interacts with its customers is online-banking (OB) industry. Using of OB is increasing rapidly. the significant growth in presenting and using of OB services such as responding to customers' requests on every time an...

The Norwegian banking industry has introduced a new security infrastructure for web applications, including Internet banking. The infrastructure, called BankID, has the potential to increase the security of today’s web applications and facilitate new business opportunities. The authors consider BankID from the customers’ point of view, analyze the risk the customers take when using BankID, and ...

An upgrade of the lending sector of Ghana requires modern and improved met of banking. Securitization is one of the modern processes used to leverage on lending in many banking sectors. The aim of the study was to assess the readiness and preparedness of the banking industry of Ghana towards the adoption of securitization. The study involved a survey and a quantitative research design in which ...

The collapse of the savings and loan industry and the failure of large numbers of commercial banks in the 1980s have generated a reexamination of bank regulation in the United States and a new banking act. Despite this increased attention, no consensus about how to reform the banking system has emerged. Instead, proposals range from eliminating deposit insurance and relying solely on market dis...

This paper analyzes recent literature in the search for trends in business intelligence applications for the banking industry. Searches were performed in relevant journals resulting in 219 articles published between 2002 and 2013. To analyze such a large number of manuscripts, text mining techniques were used in pursuit for relevant terms on both business intelligence and banking domains. Moreo...

credit scoring is a classification problem leading to introducing numerous techniques to deal with it such as support vector machines, neural networks and rule-based classifiers. rule bases are the top priority in credit decision making because of their ability to explicitly distinguish between good and bad applicants.in a credit- scoring context, imbalanced data sets frequently occur as the nu...