Author: Shivani Gajbhiye
Introduction:
Online shopping is a form of electronic commerce which allows consumers to directly buy goods or services from a seller over the Internet using a web browser or a mobile app. Consumers find a product of interest by visiting the website of the retailer directly or by searching among alternative vendors using a shopping search engine, which displays the same product’s availability and pricing at different e-retailers.
Objective: To compare four online shopping app by doing survey regarding their favourite shopping app by using Anova single factor. The hypothesis is as follows-
H0: All teams are same.
H1: Any one of them is different.
Literature Review
1. E-commerce and online shopping in India is getting a noticeable growth as more usage of internet facilities, high educational standards, changing life style and economical growth of the country reasons in the demand of ecommerce techniques and tools. Versatile shopping experience and rapid development of transaction facilities is further boosting opportunities for the remaining market segments. The biggest advantage of e-commerce is the ability to provide secure shopping transactions via the internet and coupled with almost instant verification and validation of credit card transactions.
2. Survival of fittest and fastest is the mantra of today’s business game. In the modern e-Business era, the retailer must focus on the customer’s e-Tailing experience to survive in the e-World. To focus an e-Customer’s experience towards e-Tailing, the retailers should understand what “e-Tailing” actually means. e-Retailing is a form of electronic commerce which allows consumers to directly buy goods or services from a seller over the Internet using a web browser. e-Tailing can be referred as e-web store, e-Shop, e-Store, Internet shop, web-shop, web-store, online store, and virtual store.
Data collection:
For the purpose of this project, four online shopping app that is Amazon, Flipkart, Meesho, Urbanic were selected, survey was done where 32 students were asked to rate the team of their choice from 1 to 10. Data Analysis was done by using ANOVA single factor.
DATA ANALYSIS
SUMMARY
Groups Count Sum Average Variance
AMAZON 32 251 7.84375 4.007056452
FLIPKART 32 235 7.34375 4.168346774
URBANIC 32 195 6.09375 7.313508065
MEESHO 32 227 7.09375 7.894153226
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 52 3 17.33333333 2.965108927 0.03471429 2.677699029
Within Groups 724.875 124 5.845766129
Total 776.875 127
Conclusion
As Calculated F is more than table F, Reject H0 & accept H1. Which means any one of them is different. Alternate Hypothesis.
References
Rashmi Vashishtha & Dr. Sudhir Kumar, 2016. “A Study of E-Commerce and Online Shopping,” Journal of Commerce and Trade, Society for Advanced Management Studies, vol. 11(1), pages 91-96, April.
Kamaladevi B. & Vanitha Mani M.R., 2014. “e-Shopping Experience in e-Tail Market,” International Journal of Information Systems and Social Change (IJISSC), IGI Global, vol. 5(2), pages 13-24, April.