alexa Personal Variables and Perception of Customers on Servi
2169-026X

Journal of Entrepreneurship & Organization Management
Open Access

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Research Article

Personal Variables and Perception of Customers on Service Quality of Commercial in Madurai

Selvaraj N*

Saraswathi Narayanan College, Madurai, Tamilnadu, India

*Corresponding Author:
Selvaraj N
Assistant Professor of Commerce
Saraswathi Narayanan College
Madurai, Tamilnadu, India
Tel: 94434 85379
E-mail: [email protected]

Received Date: December 30, 2015; Accepted Date: March 14, 2016; Published Date: March 19, 2016

Citation: Selvaraj N (2016) Personal Variables and Perception of Customers on Service Quality of Commercial in Madurai. J Entrepren Organiz Manag 5:177. doi:10.4172/2169-026X.1000177

Copyright: © 2016 Selvaraj N. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Customers have come to gauge the ‘technical factors’ of services such as core and systematization of the service delivery as the yardstick in differentiating good and bad performance. Customer service is an important adjunct in any undertaking especially in business and service organizations like banks. Day in and day out banks deal with customers, be it the depositors or borrowers or anyone who walks into its portals for transacting any financial business. Now a days, a stiff competition between commercial banks has arisen in providing world class financial services to customers by using information technology, reducing costs, increasing profits and compete with international banks. To explore the relationship between personal variables and the perception of customers on dimensions, the Kruskal Wallis one way ANOVA test was applied. The Kruskal Wallis test was administered to verify that the null hypothesis that there is no significant difference in the perception scores of dimensions among different groups of customers classified according to age, gender, education, occupation, income, type of accounts and customers’ duration.

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