Consumer Online Buying Behaviour - A Perspective Study Analysis using R

Online shopping is a very much developed phenomenon in many countries. Different factors impact the online consumer buying behavior. Nowadays, individuals across countries like to shop online rather than shopping in traditional means due to their simplicity and ease. Online shopping provokes real comparison of goods and customer services from shopping websites which is also called as business-to-consumer (B2C) e-commerce. This work is based on the respondent feedback towards online shopping collected using a questionnaire. The key intention of this work is to evaluate the factors which will impact the customers electronic shopping behavior. Feedback analysis of online shopping has been carried out with the determination of two main categorical variables in varied settings. The above analysis has been done through the Chi-square independence test with R Programming. The chi-square independent test is a method for assessing if two categorical variables are associated in a data set. R-Studio tool was used to perform the chi-squared test. The collected data was studied thoroughly to have a complete understanding of it. Study hypothesis were formulated and pearson’s chi square test was used to either accept or reject null hypothesis and to accept alternate hypothesis. The main intention is to study the relationship between online shopping with age, product preference, purchase frequency, payment security with gender, and source of online shopping with age.