@article{(Open Science Index):https://publications.waset.org/pdf/10003851,
	  title     = {Improving the Quantification Model of Internal Control Impact on Banking Risks},
	  author    = {M. Ndaw and  G. Mendy and  S. Ouya},
	  country	= {},
	  institution	= {},
	  abstract     = {Risk management in banking sector is a key issue
linked to financial system stability and its importance has been
elevated by technological developments and emergence of new
financial instruments. In this paper, we improve the model previously
defined for quantifying internal control impact on banking risks by
automatizing the residual criticality estimation step of FMECA. For
this, we defined three equations and a maturity coefficient to obtain
a mathematical model which is tested on all banking processes and
type of risks. The new model allows an optimal assessment of residual
criticality and improves the correlation rate that has become 98%.},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {10},
	  number    = {2},
	  year      = {2016},
	  pages     = {615 - 620},
	  ee        = {https://publications.waset.org/pdf/10003851},
	  url   	= {https://publications.waset.org/vol/110},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 110, 2016},
	}