where mean value of male(4.17) and female(4.17) are absolutely same.
Independent Sample T-Test Results (Residential Area Basis)
The part B of Table 3 indicates consumer perception for UPI variables on “Residential Area” basis. It is observed that p-value of t-test for all variables is more than 0.05 level of significance that interprets that consumers belong to urban and rural residential area have same perception or no significant difference.
7. Conclusion and Suggestions
The present study focused on to analyse the perception of UPI consumers and existence of any difference in their perception on some selected demographic factors such as gender and residential area for UPI variables. The result of the study highlights that consumer have positive perception for all UPI variables but near to strongly agree for easy to use features of UPI and very less agree for usage of UPI only in evening hours means because they prefer it in all working hours. But after applying t-test it is found that perception of UPI consumer are almost equal for all UPI variables on residential area basis means now in rural area also people prefer to use UPI due to better infrastructure and less internet connectivity issues. However, there is significant difference exists on gender basis because as the results presents that for “convenience and accessibility” males prefer UPI more with high mean value (4.32) in comparison to Females (4.22) therefore there is need to focus on awareness program for female and built user-friendly interface. But in case of “Rewards and Support System” Females prefer more that indicates they have more positive perception (3.88) than males (3.69) so to reduce this perception difference customized rewards offer should be initiated for males. The service Provider Company and stakeholders should launch adequate rewards system for male consumers also to promote gender equality. But perception of male and female are same for “Usage Pattern” and “Affordability and Speed” UPI variables.
Future Scope of the Study
The current research having few limitations therefore, to avoid these we should conduct research on some other demographic basis such as income, occupation etc.
The sample size should increase to generalise the result of this study and area covered under current study can also expand in future research.
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