Preferred Language
Articles
/
jeasiq-519
The Impact Of Application Of Jit In The Banking Sector On The Quality Of Banking Service
...Show More Authors

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.

Crossref
View Publication Preview PDF
Quick Preview PDF
Publication Date
Sun Mar 03 2013
Journal Name
Baghdad Science Journal
Couniform Modules
...Show More Authors

In this paper, we introduce and study a new concept named couniform modules, which is a dual notion of uniform modules, where an R-module M is said to be couniform if every proper submodule N of M is either zero or there exists a proper submodule N1 of N such that is small submodule of Also many relationships are given between this class of modules and other related classes of modules. Finally, we consider the hereditary property between R-module M and R-module R in case M is couniform.

View Publication Preview PDF
Crossref (3)
Crossref
Publication Date
Mon Jan 01 2024
Journal Name
Baghdad Science Journal
Synthesis AgO Nanoparticles by Nd:Yag Laser with Different Pulse Energies
...Show More Authors

     One technique used to prepare nanoparticles material is Pulsed Laser Ablation in Liquid (PLAL), Silver Oxide nanoparticles (AgO) were prepared by using  this technique, where silver target was submerged in ultra-pure water (UPW)  at room temperature after that Nd:Yag laser which characteristics by 1064 nm wavelength, Q-switched, and 6ns pulse duration was used to irradiated silver target. This preparation method was used to study the effects of laser irradiation on Nanoparticles synthesized by used varying laser pulse energy 1000 mJ, 500 mJ, and 100 mJ, with 500 pulses each time on the particle size. Nanoparticles are characterized using XRD, SEM, AFM, and UV-Visible spectroscopy. All the structural peaks determined by the XRD

... Show More
View Publication Preview PDF
Scopus (1)
Scopus Crossref
Publication Date
Wed Oct 17 2018
Journal Name
Journal Of Economics And Administrative Sciences
discriminate analysis and logistic regression by use partial least square
...Show More Authors

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.

In this, search th

... Show More
View Publication Preview PDF
Crossref