REPORT
A SURVEY ON – ONLINE SHOPPING PREFERENCES AMONG PEOPLE

 

SUBMITTED BY: 

  • Shruti Gandhi
  1. INTRODUCTION: –

The chasm between online retail and its brick-and-mortar counterpart is expanding, and people’s shopping preferences are evolving in turn. For storefronts, traffic and sales are declining, leaving retailers with little choice but to adapt to an interconnected world and to their customers’ shifting expectations of the shopping experience.  The survey was conducted to find out the shopping preferences among people, whether they prefer online shopping or prefer the traditional method of visiting a store.

  1. OBJECTIVES:-
  • To know the current shopping preference among individuals.
  • To know if there is any traditional way of shopping done by people.

 

  1. RESEARCH METHODOLOGY:-

                    
In the light of the above problem, a survey of  100 people was done and responses were collected from  family, society, college.
Following are the six statements which were put to the respondents on the Likerd Scale.

  • I have shopped Online.
  • Online shopping has helped me in saving my time and energy as I don’t have to visit stores
  • While shopping Online, I am not at all worried about the quality of the product.
  • Online shopping is cost effective.
  • Online shopping is risky as there may be fake websites and lack of privacy for online payment.
  • I prefer cash on delivery instead of online payment.

– This survey was conducted using primary data by creating a survey questionnaire on SurveyMonkey.com

– The link for the survey is –

https://www.surveymonkey.com/r/Preview/?sm=VJ6DmeMfwHnczNZAshm_2BUlcRnHGEQzTo4_2B_2FpuO9Gm8I_3D

 

 Data was coded as +2, +1, 0, -1, -2. After rectifying the missing entries, data was put into an excel sheet. Calculations were done using the formulas given below:

  1. Mean = ∑ X
     N                                
  2. Standard Deviation = ∑(X – x̄)2
                                             N-1
  3. Standard Error = D.

√N

  1. Z Score = X – 0
                          σ
                       √N

 

If Z > 1.96, people accepted the statement (Positive Response)

If Z < 1.96 and Z > -1.96, people are Neutral (Neutral Response)

If Z <-1.96, people rejected the statement (Negative Response)

 

  1. DATA ANALYSIS:-

 

 

Statement 1 Statement 2 Statement 3 Statement 4 Statement 5 Statement 6
Mean 1.33 1 -0.7 0.78 0.82 1.65
Standard Deviation 0.792069276 0.696310624 1.159066151 0.628932075 1.048134466 0.641573193
Standard Error 0.079206928 0.069631062 0.115906615 0.062893208 0.104813447 0.064157319
Upper Limit 1.485245578 1.136476882 -0.472823034 0.903270687 1.025434355 1.775748346
Lower Limit 1.174754422 0.863523118 -0.927176966 0.656729313 0.614565645 1.524251654
Z Score 16.79146056 14.36140662 -6.039344684 12.4019752 7.82342368 25.71803215

 

 

  1. CONCLUSION:-

From the above survey and the data analysis, we come to a conclusion that people nowadays prefer shopping online.
We can state that because, the Z score of statements 1, 2,4,5,6 is greater than 1.96 i.e. Z > 1.96, which states that the statement had a positive response from people; whereas Z score of statement number 3 is lesser than 1.96 i.e. Z <-1.96, which states that the statement had a negative response.

From the above survey, we come to a conclusion that, nowadays online shopping is in demand. People now prefer buying things online sitting at home rather than using the traditional way of shopping i.e. visiting a shop and purchasing. It seems that online shopping might have a very bright future in India. Perception towards online shopping is getting better in India and with the use of internet, consumers can shop anywhere, anything and anytime with easy and safe payment options.