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Use of Factor Scores in Multiple Regression Model for Predicting Customer Satisfaction in Online Shopping

التفاصيل البيبلوغرافية
العنوان: Use of Factor Scores in Multiple Regression Model for Predicting Customer Satisfaction in Online Shopping
المؤلفون: Ramadhan Ali J., Krishna Priya S. R., Naranammal N., Gautam Rajani, Mishra Pradeep, Ray Soumik, Abotaleb Mostafa, Alkattan Hussein, Albadran Zainalabideen
المصدر: BIO Web of Conferences, Vol 97, p 00145 (2024)
بيانات النشر: EDP Sciences, 2024.
سنة النشر: 2024
المجموعة: LCC:Microbiology
LCC:Physiology
LCC:Zoology
مصطلحات موضوعية: Microbiology, QR1-502, Physiology, QP1-981, Zoology, QL1-991
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
French
تدمد: 2117-4458
Relation: https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00145.pdf; https://doaj.org/toc/2117-4458
DOI: 10.1051/bioconf/20249700145
URL الوصول: https://doaj.org/article/e63be3c1bbf34eac907afeaf6efa3bae
رقم الأكسشن: edsdoj.63be3c1bbf34eac907afeaf6efa3bae
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21174458
DOI:10.1051/bioconf/20249700145