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The Impact Of Application Of Jit In The Banking Sector On The Quality Of Banking Service
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Abstract 

          The research the impact of the application of some of the production system tools in the specified time, which can be adapted in the service sectors (banking sector) over the improvement and increase the quality of banking services, and highlights the research problem in the low quality of banking services provided to customers because of the reliance on traditional banking systems in the provision of services Because of the lack keep pace with global developments in the banking industry, and the goal of research is to clarify the applicability of the production system in the time specified in the service sector and the statement of the effect of using Jit system to improve and increase the quality of banking services, it has been applied to research on a sample of customers in the Rafidain Bank consisting of ( 50) customer Among this sample was survey the opinions of department managers in the Rafidain Bank were conducted personal interviews with them were analyzed that data collected using a number of statistical represented in rural arithmetic mean and standard deviation methods, has been the most prominent conclusions that have been reached is that there is a relationship between application jit and the quality of banking system and that it will lead to increase and improve the quality of banking services and to meet the wishes and expectations of customers, the most important recommendations that may have been reached mainly includes the need to work on providing the right environment in Iraqi banks for the purpose of applying jit system and the need to adopt Iraqi banks for the concept Quality as a tool to achieve customer satisfaction.

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Publication Date
Wed Oct 17 2018
Journal Name
Journal Of Economics And Administrative Sciences
discriminate analysis and logistic regression by use partial least square
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Abstract

   The method binery logistic regression and linear discrimint function of the most important statistical methods used in the classification and prediction when the data of the kind of binery (0,1) you can not use the normal regression therefore resort to binary logistic regression and linear discriminant function in the case of two group in the case of a Multicollinearity problem between the data (the data containing high correlation) It became not possible to use binary logistic regression and linear discriminant function, to solve this problem, we resort to Partial least square regression.

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