Predict online customer satisfaction level on the basis of e-commerce services and age group

  • Abhishek Kanani
  • Sanket Chodavadiya
  • Maharashi . Prajapati
  • Shanti Verma

Abstract

The purpose of study is to develop an
understanding the how many customer satisfied with the
E-commerce services. So there are lots of scopes to an
analyze user's data to find unknown facts of E-commerce.
To achieve objective of this paper authors conduct a
survey named Customer Satisfaction level in India. They
collected a sample of 520 users in one month time duration
via online medium (Google Forms). The major difference
between online and traditional shopping is that in online
shopping there is no touch, feel and trust. So the consumer
gets afraid to pay first before receiving the product. In this
paper authors try to find out relationship between type of
services and satisfaction level in Indian consumer in Ecommerce
services. The result of experiment shows that P
value of customers Ages and Satisfaction level is 0.5817
which is significant at 95% confidence and P value of
customers Services and Satisfaction level is 0.5988. It tells
that consumer satisfaction level according to the type of
services.

Keywords: Survey, E-shopping, E-commerce, Frequency distribution, Test of independence, Data mining

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How to Cite
Kanani, A., Chodavadiya, S., Prajapati, M., & Verma, S. (2019). Predict online customer satisfaction level on the basis of e-commerce services and age group. Asian Journal For Convergence In Technology (AJCT). Retrieved from http://asianssr.org/index.php/ajct/article/view/762
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