Abstract: The study tries to identify the factors that influence online shopping and the factors that influence offline shopping. To know the relationship whether it is direct or indirect between the factors and the two shopping platforms. It will be a theoretical analysis for the clear understanding of the impacts made by the factors of doing shopping either from online or offline. Graphical analysis tries to know how much people are divided into different categories prefer online shopping over offline and how can we make conclusions from that. Correlation analysis helps to know the relationship between quantity demanded and the cost of buying the product. Simple regression analysis is a statistical tool which is used to make estimates of the value of a variable on the basis of the value of another variable to which it is related. Here we will make an estimation of quantities purchased online on the basis of the value of its cost. The study finds that females prefer more clothes and cosmetics than other online given products and usually, purchase one unit of online product in a month. Most preferred and attractive advertisement is discount ads for females. For males, most preferred online product is gaming gadgets, buy more units in a month than females and most preferred offline channel is super market. There is a negative correlation in between quantity purchased and cost per unit.
Keywords: Consumer, online shopping, offline shopping, consumer behavior, regression analysis, graphical analysis, correlation analysis.
Title: Comparative Analysis of Online and Offline Shopping
Author: Dr. Sushmita, Vishnu Prajapat
International Journal of Social Science and Humanities Research
ISSN 2348-3156 (Print), ISSN 2348-3164 (online)
Research Publish Journals
