To learn what people think about the shift to E-Commerce culture post-COVID

Name of researchers
1- Aayushi Nath 80012100404
2- Amit Kumar Maharana 80012100197
3- Drishti Vanvari 80012100405
4- Rushabh Oswal 80012100195

Introduction:
After the COVID-19 pandemic hit the world, lockdown and restrictions on activities became the new normal. The online culture introduced multiple new situations: online education, change to work from home, and shopping online through e-commerce.
Businesses and consumers both “went digital”. With all non-essential shops being shut, shopping online was easy and the new trend. E-commerce sales saw tremendous growth. The whole online shopping experience was attractive to them: including options available, shipping, easy delivery as well as buying at the click of a button.

Statement of problem:
With the boom of the “digital era”, after lockdowns were lifted, people preferred to shop from home and found it more convenient.
However, there were still some people who preferred going in-store and making purchases. The main problem statement of this survey is opinions of people relating to online-culture especially on shifting to e-commerce from physical stores.

Objectives:
By conducting this survey, we hope to learn what people think about the shift to E-Commerce culture post-COVID and the objective is to know the following in detail:
Do people consider that they are receiving better deals online
How many customers prefer the ease of shopping from home
Do people feel that there is more variety online than in-stores
Do people like the online shopping experience more than physical stores
Do the salesmen affect their purchases in shops

Data Collection:
To collect data for this problem, we floated a survey amongst the respondents asking the following questions and requiring them to rate the statements below on a scale of “strongly agree” to “strongly disagree.”
I received better deals online
I like the ease of shopping from home
I get more variety online than I do in-store
My online shopping experience is better than going to shops
Salesman in offline stores affect my purchases

Analysis/Findings:
1) More than 50% of the respondents are of the opinion that they receive better deals online

· The standard deviation from cumulative responses is 0.7740
· Mean is 1.9375
· Mode is 2
· Median is 2
· With 95% confidence level interval Z value turned out to be 10.9807 and Z score 1.96

Here Ho (Null hypothesis)- Respondents may not receive better deals online
Ha-(Alternative hypothesis) – Respondents receive better deals online
From the data,
Z value> Z score, so we reject the null hypothesis (Ho) and come to a conclusion that Respondents receive better deals online.

2) 50% of the respondents prefer the ease of shopping from home rather than going in-store

· The standard deviation from cumulative responses is 0.8806
· Mean is 1.9531
· Mode is 2
· Median is 2
· With 95% confidence level interval Z value turned out to be 9.5100 and Z score 1.96
Here Ho (Null hypothesis)- Respondents may not like the ease of shopping from home
Ha-(Alternative hypothesis) – Respondents like the ease of shopping from home
From the data,
Z value> Z score, so we reject the null hypothesis (Ho) and come to a conclusion that Respondents like the ease of shopping from home.

3) More than 50% of the respondents believe that they get more variety while using e-commerce than making purchases in stories

· The standard deviation from cumulative responses is 0.875
· Mean is 2.1093
· Mode is 2
· Median is 2
· With 95% confidence level interval Z value turned out to be 8.1428 and Z score 1.96
Here Ho (Null hypothesis)- Respondents may not get variety online
Ha-(Alternative hypothesis) – Respondents receive better variety online
Z value> Z score, so we reject the null hypothesis (Ho) and come to a conclusion that Respondents receive better deals online.

4) The overall response with respect to respondents’ opinion on their online shopping experience is that 60% prefer online than shops

· The standard deviation from cumulative responses is 0.9428
· Mean is 2.75
· Mode is 2
· Median is 3
· With 95% confidence level interval Z value turned out to be 2.1213 and Z score 1.96
Here Ho (Null hypothesis)- Respondents may not get better shopping experience online
Ha-(Alternative hypothesis) – Respondents get better shopping experience online
Z value> Z score, so we reject the null hypothesis (Ho) and come to a conclusion that Respondents get better shopping experience online.

5) Around 40% of the respondents believe that during in-store shopping, the salesman affects their purchase decision.

· The standard deviation from cumulative responses is 1.0389
· Mean is 2.75
· Mode is 2
· Median is 3
· With 95% confidence level interval Z value turned out to be 1.9250 and Z score 1.96
Here Ho (Null hypothesis)- Salesman in offline stores affect respondents’ purchases
Ha-(Alternative hypothesis) – Salesman in offline stores may not affect respondents’ purchases
Z value< Z score, so we fail to reject the null hypothesis (Ho) and come to a conclusion that Salesman in offline stores affect respondents’ purchases.

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