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By Vadlamani Ravi

Banking the world over has passed through large alterations due to the profound effect of advancements and traits in details conversation applied sciences, company intelligence, and danger administration innovations. whereas banking has turn into more uncomplicated and simpler for the shopper, the advances and intricacies of rising applied sciences have made banking operations all of the extra bulky. Advances in Banking know-how and administration: affects of ICT and CRM examines a number of the myriads of technical and organizational parts that impression providers administration, company administration, probability administration, and purchaser courting administration, and provides learn to assist the winning implementation of linked supportive applied sciences.

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Employee performance is important since employees constitute the front-end interface between many, if not most, customers and the bank; moreover, there are people who still prefer human interaction when transacting with the bank. 62) than the other indicators. This attribute should be worked out with care by the bank executives, given that it may cause disruptions in trust. 63) had low performances. What seems interesting in these findings is that the business issues of the imagethe portfolio of products and servicesperformed far higher than the actual services offered (as discussed below), what urges managers to align promises and offerings.

International Journal of Intelligent Systems, 17(11), 1067-1083. information systems. International Journal of Information Management, 17(3), 179-197. C. (2005). Hybrid mining approach in the design of credit scoring models. Expert Systems with Applications, 28(4), 655-665. Porter, D. (2003). BASEL II: Heralding the rise of operational risk. Computer Fraud and Security, 7, 9-12. -S. (2006). Two-stage genetic programming (2SGP) for the credit scoring model. Applied Mathematics and Computation, 174(2), 1039-1053.

UK: Reuters, Pearson Education. Graham, B. (2003). The evolution of electronic payments. BE Thesis, Division of Electrical and Electronics Engineering, School of Information Technology and Electrical Engineering, University of Queensland, Australia. , & Vanthienen, J. (2002). Comparing a genetic fuzzy and neurofuzzy classifier for credit scor-  Introduction to Banking Technology and Management ing. International Journal of Intelligent Systems, 17(11), 1067-1083. information systems. International Journal of Information Management, 17(3), 179-197.

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