Essay --

MANAGERIAL IMPLICATIONS There are great insights to the managers. As the research is conducted to find out the three main objectives which are as follows: 1.) To investigate how socio-demographic (age, income and occupation) affect consumers attitude towards online shopping. 2.) To probe how the pattern of online buying (types of goods, e-commerce experience and hours use on internet) influence consumers attitude towards online shopping. 3.)To examine how purchase perception (product perception, customer service and consumer risk) influence consumers attitude towards online shopping. As the level of significance is taken as 5% throughout the full research; The results of the research on the basis of gender are as follows: 1.) Gender is independent of weekly usage of the internet because the result of hypothesis testing for this is 0.666 which is greater than 0.05. Hence, gender is not responsible for the weekly usage of the internet. 2.) Gender is independent of intention of the online purchase because the result of hypothesis testing for this is 0.910 which is greater than 0.05. Hence, gender is not responsible for the intention of the online purchase. 3.) Gender is independent of frequency of purchases because the result of hypothesis testing for this is 0.457 which is greater than 0.05. Hence, gender is not responsible for the frequency of purchases. 4.) Gender is independent of online product purchase because the result of hypothesis testing for this is 0.566 which is greater than 0.05. Hence, gender is not responsible for the online product purchase. 5.) Gender is independent of internet experience because the result of hypothesis testing for this is 0.401 which is greater than 0.05. Hence, gender is n... ... income is not responsible for the weekly usage of the internet. 2.) Income is independent of intention of the online purchase because the result of hypothesis testing for this is 0.893 which is greater than 0.05. Hence, income is not responsible for the intention of the online purchase. 3.) Income is independent of frequency of purchases because the result of hypothesis testing for this is 0.901 which is greater than 0.05. Hence, income is not responsible for the frequency of purchases. 4.) Income is dependent of online product purchase because the result of hypothesis testing for this is 0.037 which is less than 0.05. Hence, income is responsible for the online product purchase. 5.) Income is dependent of internet experience because the result of hypothesis testing for this is 0.012 which is less than 0.05. Hence, income is responsible for the internet experience.