This study aims to find the opinion difference of customer satisfaction among the different age groups of male and female customers in online Shopping Behavior. The exploratory research design is used for the exploration of new facts, new knowledge, and new information on online shopping trends. The descriptive research design is used to test the hypothesis. A total of 345 respondents are selected for the study of customer satisfaction in online shopping. The significance level is set at 5% in this study. The Independent t-test and Analysis of Variance( ANOVA) statistical tools are used for the comparative study of two groups and more than two groups. The bar and pie chart are also used for the pictorial presentation of the data. The SPSS 23.0 version software is used for the data analysis.The findings of this study are concluded that matured age groups above 31 years of female respondents are much more satisfied in online shopping in comparison of male customers.
Key words: Digital Marketing, Customers Satisfaction, Online Shopping Behavior.
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