| Issue |
BIO Web Conf.
Volume 97, 2024
Fifth International Scientific Conference of Alkafeel University (ISCKU 2024)
|
|
|---|---|---|
| Article Number | 00145 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/bioconf/20249700145 | |
| Published online | 05 April 2024 | |
Use of Factor Scores in Multiple Regression Model for Predicting Customer Satisfaction in Online Shopping
1 University of Alkafeel, Najaf, Iraq
2 PSG College of Arts and Science, Tamil Nadu, India
3 Pandit S. N. Shukla University, Madhya Pradesh, India
4 JNKVV College of Agriculture, Rewa, India
5 Centurion University of Technology and Management, Odisha, India
6 South Ural State University, Chelyabinsk, Russia
* Corresponding Author: ali.j.r@alkafeel.edu.iq
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.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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