By Ravi V.
This e-book examines a number of the myriads of technical and organizational parts that effect prone administration, company administration, possibility administration, and purchaser courting administration, and gives learn to assist the winning implementation of linked supportive applied sciences
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This can be one of many only a few books that makes a speciality of the qualitative probability administration methodologies of either banks and insurance firms in a single position. It additionally merits from the actually world-class members who're across the world famous for his or her services during this quarter. Who should still learn this publication?
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Extra resources for Advances in Banking Technology and Management: Impacts of Ict and Crm
This kind of risk is most difficult to anticipate and hence manage because of its unpredictable nature. Many sophisticated methodologies have been proposed in order to quantify operational risk in recent times. The methodologies range from simple mathematical methods to sophisticated soft computing methods. Scandizzo (2003) discussed the use of fuzzy logic in the measurement of operational risk. He developed a clustering algorithm based on a fuzzy algebra that produces a ranking of the business units within a financial institution.
He developed a clustering algorithm based on a fuzzy algebra that produces a ranking of the business units within a financial institution. Both linear and non-linear models have been developed for the measurement of operational risk. Linear models include regression models, discriminant analysis, and so forth. The nonlinear models, based on artificial intelligence, try to capture the non-linearities in operational risk. Neural networks are an alternative to nonparametric regressions. Bayesian belief networks have attracted much attention recently as a possible solution to the problems of decision support under uncertainty.
Service Quality in Banks: What are the Factors Behind Performance and Customer Satisfaction? this includes the banking sector (Soteriou & Stavrinides, 2000; Bhat, 2005; Bexley, 2005). However, service quality in banks was not always targeted when looking for the mediating factors towards financial performance (Mukherjee, Nath, & Pal, 2003), and financial institutions struggle to find or develop instruments to measure the quality of their services (Bahia & Nantel, 2000; Bhat, 2005). Delivering quality services is in fact an important marketing strategy (Berry & Parasuraman, 1991; Ray, Muhanna, & Barney, 2005; Voss, Roth, Rosenzweig, Blackmon, & Chase, 2004), but difficulties in defining service quality and customer satisfaction, as well as problems in deploying current instruments for measuring such constructs to specific contexts, represent important constraints for organizations to address their markets.
Advances in Banking Technology and Management: Impacts of Ict and Crm by Ravi V.