Krishna Priya, S.R and NARANAMMAL, N (2024) Use of Factor Scores in Multiple Regression Model for Predicting Customer Satisfaction in Online Shopping. Use of Factor Scores in Multiple Regression Model for Predicting Customer Satisfaction in Online Shopping, 97: 00145. pp. 1-6. ISSN 2117-4458

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Abstract

Online shopping can be done from our convenient places like
home, office, etc., and the product will be delivered to the respective places.
There are many factors influencing online shopping. The purpose of this
study is to develop a statistical model that is used to determine the factors
that influence online shopping. In this study, using factor analysis five main
factors have been obtained from 15 variables that influence online shopping.
These five factors have significant effects on satisfaction of customers and
accounted up to 56% of total variation. Using the factor scores as
independent variables, multiple regression model has been developed for
predicting customers satisfaction in online shopping. Customer satisfaction
has been used as dependent variable in the regression model. The five main
factors that contribute online shopping are: preference of consumers towards
online shopping, the risk involved in purchasing products through online,
time effectiveness in online shopping, difficulties faced during online
shopping and getting products from trustworthy websites.

Item Type: Article
Divisions: PSG College of Arts and Science > Department of Management Sciences
Depositing User: Dr. B Sivakumar
Date Deposited: 12 Dec 2025 07:26
Last Modified: 12 Dec 2025 07:26
URI: https://ir.psgcas.ac.in/id/eprint/2591

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