Paper Title

CUSTOMER SATISFACTION TOWARDS ATM SERVICES - A COMPARATIVE STUDY OF PUNJAB NATIONAL BANK AND AXIS BANK

Authors

Ashutosh Arun , Prof. Archana Singh

Keywords

E-Banking, ATM, Customer Satisfaction

Abstract

The Automated Teller Machine (ATM) has become an integral part of our life and society. ATM is effectively reached out a large customers base at lowest cost. At present most of the banks have networking systems for their e-banking services like ATMs. This study aims at analyzing the satisfaction level of customers of Punjab National Bank and Axis Bank based on various aspects related to ATMs. The study adopted a performance only approach to measuring customer satisfaction. A self-administered questionnaire containing multi-dimension and multi-attribute Liker measurement scales was used where respondents rated the performance only and their satisfaction with Automated teller machine banking and satisfaction with their respective banks. Data will be collect from the way of survey from bank customers and later on will be analyze by statistical technique and tools like Descriptive Statistics, Percentage Method, and Ranking Method. The conclusion would be interpreted accordingly.

How To Cite

"CUSTOMER SATISFACTION TOWARDS ATM SERVICES - A COMPARATIVE STUDY OF PUNJAB NATIONAL BANK AND AXIS BANK", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 8, page no.134 - 139, August-2019, Available :https://ijsdr.org/papers/IJSDR1908022.pdf

Issue

Volume 4 Issue 8, August-2019

Pages : 134 - 139

Other Publication Details

Paper Reg. ID: IJSDR_190870

Published Paper Id: IJSDR1908022

Downloads: 000347395

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR1908022

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1908022

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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