Rise of Online Shopping Before, During and After Covid-19

This research explores the impact of technology on e-commerce companies and the rise of online shopping before, during and after Covid-19. The data was collected through secondary methods and analyzed using statistical inference techniques. The non-technical analysis shows that male bachelor customers of 25 age are more likely to focus on online shopping. The research also highlights the importance of digital marketing or e-commerce sector for organizations.

Research Business Data

1
Rise of online shopping before, during and after Covid-19
Rationale
Online shopping is being increasing day by day due to having the
pandemic and the customer are getting directly contact with their
seller and buyer. As many of the company have taken the digital
place and make their huge amount of customer for working with
them. The reason behind selecting this topic is knowing changing
environment and impact of technology on e-commerce
companies.
Data collection method
Data have been collected through using the secondary methods it
could be found that after having covid-19, how the people that have
been get engaged through using the shopping online rather than
buying the products offline. It could be also led for increasing the
employment opportunities and might be play the effective role for
achieving the goals and objective.
Descriptive statistical measures
Mean Std. Deviation N
Gender 1.4000 .50262 20
Age 2.4000 .99472 20
Education 2.4000 1.04630 20
Online shopping 1.3500 .48936 20
While from the above this have been seems that, online shopping
rate within the age and gender that have been increased and this
could keep more for working as effective manner. Along with this
having the rate about the 2.4000 and 1.3500 for the online
shopping and education for their concepts.
Statistical inference techniques
Control Variables Gender Age Educatio
n
Online
shopping
Gender
Correlation 1.000 -.047 .308
Significance (2-
tailed) . .847 .199
df 0 17 17
Age
Correlation -.047 1.000 -.096
Significance (2-
tailed) .847 . .695
df 17 0 17
Educatio
n
Correlation .308 -.096 1.000
Significance (2-
tailed) .199 .695 .
df 17 17 0
Statistical inference techniques
On the basis of above data, it can be said that online shopping trend
is related with gender, age and educational factors. Male bachelor
customers of 25 age are more likely to focus on online shopping.
This data shows reasons and interrelation of online shopping with
other factors.
Non-technical analysis
While the online shopping keep the better performance for the
company and customer through which this must be important for
taking some of the better decision. Along with this also play the
role through which the organization can keep their digital
marketing or e-commerce sector for working within the proper
REFERENCES
Jaller, M. and Pahwa, A., 2020. Evaluating the environmental
impacts of online shopping: A behavioral and transportation
approach. Transportation Research Part D: Transport and
Environment, 80, p.102223.
Li, X., Zhao, X. and Pu, W., 2020. Measuring ease of use of mobile
applications in e-commerce retailing from the perspective of
consumer online shopping behaviour patterns. Journal of Retailing
and Consumer Services. 55. p.102093.
Le, H.T., Carrel, A.L. and Shah, H., 2021. Impacts of online
shopping on travel demand: a systematic review. Transport
Reviews. pp.1-23.