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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume: 3 | Issue: 4 | May-Jun 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470
@ IJTSRD | Unique Paper ID – IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 802
The Role of E-Commerce in Improving Customer Satisfaction
H. Bhaskar Shetty1, Ms. Sowmya L2
1Assistant Professor, 2Student
1,2SRJ PU College for Women, Department of Commerce, Bangalore, Karnataka, India
How to cite this paper: H. Bhaskar
Shetty | Ms. Sowmya L "The Role of E-
Commerce in Improving Customer
Satisfaction" Published in International
Journal of Trend in Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-4, June 2019,
pp.802-807, URL:
https://www.ijtsrd.c
om/papers/ijtsrd23
904.pdf
Copyright © 2019 by author(s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an Open Access article
distributed under
the terms of the
Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/
by/4.0)
ABSTRACT
The cut-throat competition in E-commerce has forced the companiestofocus on
providing customer satisfaction and gain customerloyalty. Thus,puttinguplong
term customer relationships through customer satisfaction is one of the pivotal
foundation key factors for successfulmarketing, includingonlinemarketing.This
research work makes an attempt to examine the role of e-commerce in building
customer satisfaction and its importance to maintain loyalty in consumers.
However, the study indicates that there is a progressive trend in increasing
awareness and its utilities. By the study we canunderstandthatglobalaccess, 24
hours availability, convenience, increase product information are some of the
ways to enhance customer satisfaction as well as the drawback experienced by
the respondents is the fear of payment sin security in e-commerce. The paper
was with objectives of knowing the awareness, loyalty and the attitude towards
online marketing.
Keywords: E-commerce, online marketing, customersatisfaction, consumerloyalty
INTRODUCTION
The term electronic commerce (e-commerce) was originatedback in1960’s.This
e-commerce made a drastic change in business world. E-commerce has become
the most popular methods of making money. People buy online as they are
benefited with lower price, accessibility, wider choice etc., even business sell
online because of higher margin, lower cost of goods sold inventorymanagement
and so on. The E-commerce market in India is increasing in size at a rapid pace.
Better internet connectivity, better technology, greater
access to smart phones and other mobile devices are the
drivers for this growth. Various initiatives by government of
India like Digital India, Make in India, Startup-India and Skill
India provide greater inputs to the e-commerce industry in
the country. The e-commerce online shopping is not only
improving in terms of buyers and retail transaction, butalso
improving in terms of its stretch out and coverage. The
introduction of e-commerce has seen a sensational clash on
the traditional ways of doing business. It is a new trend in
the world of commerce or business. E-commerce will
become an essential element in every business and
everywhere in our life shortly. It built a situation in the
economy where all the business must get them in e-
commerce either the business is big or small, or else they
have to lose the market or quit. The e-commerce gradually
changing the way you shop, learn, interact and transact
business. In the emerging global economy e-commerce and
e-business have progressively become essential aspect of
business strategy and also in economic development.
REASONS WHY CUSTOMER SATISFACTION IS
IMPORTANT
Preserving satisfied customer is cheaper than acquiring
new ones.
Customer satisfaction is more significant than price.
Customer satisfaction keeps your brand front of the
competitors.
Customer satisfaction aid for customer retention.
Customer satisfaction elevates customer loyalty.
Customer satisfaction reduces advertisement cost as
there is word of mouth publicity.
Customer satisfaction is a factorthathelps you standout
of the competition.
LITERATURE REVIEW
Meaning of e-commerce and customer satisfaction
Ecommerce is the combination of communication and
information sharing technology which is facilitated by an
electronic medium to do business activity and achieve
business objective.
Customer satisfaction means the degree to which a
customer is happy with their trade experience with the
company. It measures how well a firm is able to meet their
customer’s expectations. Customer satisfaction is a key
factor in marketing because a firm cannot retain its
customers unless having highly satisfied customers.
Elizabeth Goldsmith and Sue L.T. McGregor (2000)analyzed
the impact of e-commerce on consumers, public policy,
business and education. A discussion was on public policy
initiatives, research questions and ideas for future research
are given. Patric Barwise(2001)reported thatprobability 99
% of e-commerce today is done using PCs either desktops or
Laptops. For B2B e-commerce this is not easily possible to
change for B2C e-commerce however, things will be more
complex, there will be wider range of relevant media
including interactive digital TV and a range of mobile and
IJTSRD23904
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 803
wireless service there will be huge difference between
different consumer’s ownershiptoolsand access technology.
Some will have broadband access and others may not have
digital communication at all. Jackie Gilbert Bette Ann Stead
(2001) reviewed the incredible growth of electronic
commerce (e-commerce) and presented ethical issues that
have emerged. Security concerns, spamming, websites that
do not carry an “advertising” label, cyber squatters, online
marketing to children, conflicts of interest, manufacturers
competing with intermediaries online and “dinosaurs” were
considered. Diana Oblinger (2001) reported that one is that
education and continuous learning have become so vital in
all societies that the demands for distance andopenlearning
will increase. As the availability of the Internet expands as
computing devices become cheaper and an energy
requirements and form factors shrink, learning will become
more popular. Prithviraj Dasgupta and Kasturi Sengupta
(2002) reported that the recent growth of Internet
Infrastructure and Introduction of economic reforms in the
Insurance sector have opened up the monopolistic Indian
Insurance market to competition from foreign alliances.
Although the focus of e-commerce has been predominantly
on business to consumer (B2C) applications the emphasis is
now shifting towards business to business (B2B)
applications. The Insurance Industry gives an appropriate
model that combines both B2C and B2B applications.
James Christopher (2004) examined all the best elements of
ecommerce do not guarantee consumers will visitor remain
loyal. But looking at what they want and their satisfaction
levels of other well established e-tailors such asAmazonand
eBay who have already invested significant resources to
understand what consumer’s needs, wants and desires.
Possibly it would be helpful to remove these established
pure players since they have been and continue to be highly
successful as retain high marks for customer satisfaction.
OBJECTIVES OF THE STUDY
To study the awareness of E-Commerce in customers.
To analyze the attitude of customers towards E-
Commerce.
To find out the how well E-Commerce satisfying
customers.
METHODOLOGY
DATA COLLECTION
The study was conducted using random sampling method.
The study was based on both primary data and secondary
data. The Primary Data had been collected through
structured questionnaire. The Secondary data had been
collected from journals, books and magazines for the study.
The size of the sample have been approximated to
respondents who are customers presently purchasing
products using E-Commerce. In this studyRandomsampling
method is used. Sampling technique is simple random
sample method. The sampling size refers to the number of
elements to be chosen from the population to conduct
sample. For this study sample size was 80.
DATA ANALYSIS
TABLE-1 GENDER - WISE CLASSIFICATION OF
RESPONDENTS
Gender Respondents Percentage
Male 59 73.75%
Female 21 26.25%
(Source: Primary data)
1: INTERPRETATION
In the study, more than half of the respondents were male
and remaining are female respondents. In the whole sample
respondent population 73.75% were male respondents and
remaining 26.25% were female respondents.
TABLE-2 AGE - WISE CLASSIFICATION OF
RESPONDENTS
(Source: Primary data)
2: INTERPRETATION
The above figure represents that the classification of
respondents based on their age. There were 55%
respondents whose age is between 18-29 years, 30%
respondents whose age between 30-39 years, 11.25%
respondents whose age between 40-49 years and 3.75%
respondents above 50 years.
TABLE-3 EDUCATIONAL QUALIFICATION OF
RESPONDENTS
Education qualification Respondents Percentage
SSLC 11 13.75%
PUC 18 22.5%
Graduation 42 52.5%
Post Graduation 9 11.25%
(Source: Primary data)
3: INTERPRETATION
The chart represents that53%ofrespondents aregraduates,
22% of respondents are PUC, 14% of respondents are SSLC
and rest 11% of respondents are post graduates. Majority of
the respondents are graduates.
TABLE-4 OCCUPATION OF RESPONDENTS
Occupation Respondents Percentage
Student 41 51.25%
Business 20 25%
House wife 13 16.25%
Employee 6 7.5%
(Source: Primary data)
4: INTERPRETATION
The figure shows that51%ofrespondentsarestudents,25%
of respondents are business people, 16% of respondentsare
house wives and only 8% of respondents are employees. It
means the using populations of e-commerce are students.
TABLE-5 MARITAL STATUS OF RESPONDENTS
Marital status Respondents Percentage
Married 22 27.5%
Single 58 72.5%
(Source: Primary data)
5: INTERPRETATION
The above chart shows that 72.5% of the respondent
population are single and rest 27.5% of the respondent
population are married. It represents that there is an
influence of marital status in the usage of e-commerce.
Age Respondents Percentage
18-29 years 44 55%
30-39 years 24 30%
40-49 years 9 11.25%
Above 50 years 3 3.75%
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 804
TABLE-6 E-COMMERCE AWARENESS
Since when you are
aware of e-commerce
Respondents Percentage
1-5 years 74 92.5%
5-10 years 6 7.5%
>10 years 0 0%
I don’t know 0 0%
(Source: Primary data)
6: INTERPRETATION
The above chart represents that 92.5% of respondents’
population are aware of e-commerce since1-5 years. Among
the whole sample population, 7.5% of them wereawareof e-
commerce since 10 years. There were no respondents who
were not aware of e-commerce.
TABLE-7 TIME PERIOD OF USAGE OF E-COMMERCE
Since how many
years are you using
e-commerce?
Respondents Percentage
1-5 years 42 52.5%
5-10 years 4 5%
>10 years 0 0%
Not yet used 34 42.5%
(Source: Primary data)
7: INTERPRETATION
The above chart represents that 52.5% of respondents are
using e- commerce since 5 years. There are 5% of
respondents who are using since 10 years and 42.5% of the
respondents have not yet used e-commerce till today.
TABLE-8 PURPOSE OF USING E-COMMERCE
Purpose for use e-
commerce is
Respondents Percentage
Personal use (BUYING) 72 90%
Business use (SELLING) 8 10%
Both personal and
business use
0 0%
(Source: Primary data)
8: INTERPRETATION
The chart shows that 90% of the respondent population is
making use of online commerce or e-commerce for personal
use. Rest 10% of population is makinguseofe-commerce for
business purpose. There arenorespondentswho aremaking
use of online commerce both for personal and business
purpose.
TABLE-9 BENEFITS OF E-COMMERCE TO CONSUMERS
How do you think e-
commerce is benefited
to consumers
Respondents Percentage
24/7 accessibility 0 0%
Broadens consumers
choice
0 0%
Comparative price 0 0%
All the above 80 100%
(Source: Primary data)
9: INTERPRETATION
The total respondent population (100%) has chosen all the
above options. It means that consumers are benefited with
24/7 accessibility, broadens consumers choice and
comparative price.
TABLE-10 BENEFITS OF E-COMMERCE TO BUSINESS
How do you think e-
commerce helps the
business
Respondents Percentage
Smoothens business 16 20%
Less startup,
transaction and
inventory cost
8 10%
Global reach 44 55%
All the above 12 15%
(Source: Primary data)
10: INTERPRETATION
The chart shows that 55% of sample population’s opinion is
global reach which is a major benefit by e-commerce to the
business. 20% of respondents say that e-commerce benefits
the business by smoothening the business. 10% of
respondents say it reduces the cost to the business.
Remaining 15% of respondents say all of those options are
the benefits of e-commerce to the business.
TABLE-11 THE EXTENT TO WHICH E-COMMERE
MEETS NEEDS OF CONSUMERS
do products in e-
commerce meet need
Respondents Percentage
Badly 6 7.5%
Fine 10 12.5%
Well 24 30%
Very well 40 50%
(Source: Primary data)
11: INTERPRETATION
The above chart shows that 50% of population says that
products meet their needsvery well.30%of therespondents
say that products meet their needs well. 12.5% of
respondents say that products are fine in meeting their
needs and 7.5% of the population says that products meet
their needs badly.
TABLE-12 CLEAR PRE-INFORMATION ABOUT GOODS
AND SERVICES
Adequate and clear
product information
Respondents Percentage
Strongly disagree 0 0%
Disagree 12 15%
Neutral 6 7.5%
Agree 42 52.5%
Strongly agree 20 25%
(Source: Primary data)
12: INTERPRETATION
The above chart shows that 52.5% of respondents agree,
25% of respondents stronglyagree,7.5%of themareneutral
and 15% of respondents disagree with the statements that
pre-information is adequate.
TABLE-13 E-COMMERCE MADE IT EASY TO HANDLE
PURCHASES
The e-commerce made
easy to handle my issues.
Respondents Percentage
Strongly disagree 0 0%
Disagree 2 2.5%
Neutral 8 10%
Agree 58 72.5%
Strongly agree 12 15%
(Source: Primary data)
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 805
13: INTERPRETATION
The chart shows that 72.5% of the population agrees that e
commerce made it easy to handle the purchase issues. 15%
of the population strongly agrees, 10% of them are neutral
and 2.5% of them disagree by saying that e-commerce made
it easy to handle purchase issues.
TABLE-14 PRICE OF PRODUCTS ARE COMPETITIVE
The price of product
or services on website
is competitive
Respondents Percentage
Strongly disagree 4 5%
Disagree 10 12.5%
Neutral 14 17.5%
Agree 40 50%
Strongly agree 12 15%
(Source: Primary data)
14: INTERPRETATION
The above chart shows that 50% respondents in the sample
population agree that the prices of products are competitive
in e-commerce. Among the population 15% respondents
strongly agree, 17.5% of them are neutral, 12.5% of them
disagree and 5% of them strongly disagree that the prices of
the product are competitive on e-commerce.
TABLE-15 PRODUCTS PRICES ARE CHEAP
Price of goods in
internet is cheaper.
Respondents Percentage
Strongly disagree 20 25%
Disagree 6 7.5%
Neutral 8 10%
Agree 46 57.5%
Strongly agree 0 0%
(Source: Primary data)
15: INTERPRETATION
The above graph shows that 57.5% respondents agree that
product prices are cheaper. 25% respondents strongly
disagree, 10% respondents are neutral, 7.5% of the
respondents disagree that the price of productsarecheaper.
TABLE-16 BILLING AND SHIPPING INFORMATION ARE
SIMPLE
Billing and shipping
information is clear
Respondents Percentage
Strongly disagree 0 0%
Disagree 16 20%
Neutral 32 40%
Agree 20 25%
Strongly agree 12 15%
(Source: Primary data)
16: INTERPRETATION
The chart shows that 25% of the population agrees that
billing and shipping information are simple to understand.
15% respondents of the population strongly agree, 40% of
them are neutral and 20% of them disagree for the question
billing and shipping information are clear and easy to
TABLE-17 PRODUCT PERFORMANCE AS EXPECTED
Product performed
as I expected
Respondents Percentage
Strongly disagree 16 20%
Disagree 24 30%
Neutral 24 30%
Agree 16 20%
Strongly agree 0 0%
17: INTERPRETATION
The above chart says that 30% respondents of the
population have shown disagree and neutral response
towards the question whether the products performed as
they expected. 20% of respondents said that they agree and
remaining 20% of them say that they strongly disagree for
the statement products performed as they expected.
TABLE-18 SHOPPING IN E-COMMERCE IS TIME SAVING
Shopping in e-commerce
is time saving
Respondents Percentage
Strongly disagree 0 0%
Disagree 0 0%
Neutral 4 5%
Agree 64 80%
Strongly agree 12 15%
(Source: Primary data)
18: INTERPRETATION
The above chart shows that 80% respondents of the sample
population agree that e-commerce is timesaving.15%of the
respondents strongly agreed and 5% of them showed
neutral response for the statement that e-commerce is time
saving.
TABLE-19 HOW RESPONSIVE IS E-COMMERCE TO
CUSTOMER QUESTIONS
How responsive is e-
commerce to customers
Respondents Percentage
Irresponsive 10 12.5%
Usually responsive 56 70%
Very responsive 14 17.5%
(Source: Primary data)
19: INTERPRETATION
The above chart shows that 70% of them say that e-
commerce is usually responsive.17.5%of themsaythatthey
are very responsive and remaining 12.5% of them say that
the e-commerce is irresponsive for the queries asked by the
customers or consumers.
TABLE-20 AFTER SALES SERVICE OF E-COMMERCE
After sales service
of e-commerce
Respondents Percentage
Very bad 0 0%
Poor 8 10%
Fair 66 82.5%
Good 6 7.5%
Excellent 0 0%
(Source: Primary data)
20: INTERPRETATION
The above graph shows that 82.5% respondents say that
after sales service is fair. 10% respondents of the sample
population say poor after sales service. 7.5% respondents
say that after sales service is good in online or e-commerce.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 806
TABLE-21 EASY TO CANCEL ORDER OR RETURN
GOODS PURCHASED
Easy to cancel order
or return goods
purchased
Respondents Percentage
Strongly disagree 0 0%
Disagree 18 22.5%
Neutral 24 30%
Agree 34 42.5%
Strongly agree 4 5%
(Source: Primary data)
21: INTERPRETATION
The above graph shows 42.5% respondents are agreeing
that it is easy to cancel order or return goods purchased
through online. 30% respondents are neutral, 22.5%
respondents disagree and rest 5% respondents strongly
agree that it is easy to cancel order and return the goods
purchased.
TABLE-22 E-COMMERCE ELEMINATES MIDDLEMEN
E-commerce
eliminates middlemen
Respondents Percentage
Strongly disagree 0 0%
Disagree 12 15%
Neutral 58 72.5%
Agree 10 12.5%
Strongly agree 0 0%
(Source: Primary data)
22: INTERPRETATION
The above graph shows that 72.5% of the respondents (58
respondents) gave neutral response, 15% respondents
disagree and 12.5% respondents agree that e-commerce
eliminates middlemen.
TABLE-23 FREQUENCY OF PURCHASE ANNUALLY
Frequently of
purchase
Respondents Percentage
Purchase once annually 8 10%
2-5 purchase 40 50%
6-10 purchase 20 25%
11 and above purchases 12 15%
(Source: Primary data)
23: INTERPRETATION
The above graph shows 50% respondents of the population
usually purchase 2-5 times annually. 25% respondents
purchase 6-10 times annually. 15% of them purchase11 and
above times annually and 10% of them purchase once
annually.
TABLE-24 LIKELY TO BUY AGAIN
How likely to buy again Respondents Percentage
Not likely at all 0 0%
Not likely 36 45%
Neutral 0 0%
Likely 44 55%
Very likely 0 0%
(Source: Primary data)
24: INTERPRETATION
The above chart shows that 55% respondents are likely to
buy again through online or e-commerce. Remaining 45%
respondents have said that they are not likely to buy again
through e-commerce.
TABLE-25 HOW GOOD E-COMMERCE IS OVER
TRADITIONAL COMMERCE
How good is e-
commerce than
traditional commerce
Respondents Percentage
Very bad 0 0%
Poor 10 12.5%
Fair 24 30%
Good 40 50%
Excellent 6 7.5%
(Source: Primary data)
25: INTERPRETATION
The above chart representsthat50%respondentssaythate-
commerce is good over traditional commerce. 30%
respondents are saying that e-commerce is fair enough than
traditional commerce. Among remaining 7.5% respondents
excellent and 12.5% respondents say poor about how good
e-commerce is over traditional commerce.
TABLE-26 LIKELY TO RECOMMEND
Likely to recommend Respondents Percentage
Not likely at all 6 7.5%
Not likely 16 20%
Neutral 32 40%
Likely 14 17.5%
Very likely 12 15%
(Source: Primary data)
26: INTERPRETATION
The above graph shows that 40% of the population are
neutral towards likely to recommend. 20% respondents are
not likely, 17.5% respondents are likely, 15% respondents
are very likely, 7.5% respondents are not likely at all
towards question likely to recommend.
TABLE-27 INCREASE IN E-COMMERCE USING
POPULATION
Increase in e-commerce
using population
Respondents Percentage
Strongly disagree 0 0%
Disagree 0 0%
Neutral 4 5%
Agree 64 80%
Strongly agree 12 15%
(Source: Primary data)
27: INTERPRETATION
The above graph shows that 80% respondents of thesample
population agree that using population of e-commerce has
increased over years. 15% of the respondents strongly
agreed and 5% of them show neutral response for the
statement that using population of e-commerce has
increased over years.
TABLE-28 SATISFACTION WITH PURCHASE
EXPERIENCE
How satisfied with
purchase experience
Respondents Percentage
Very dissatisfied 0 0%
Dissatisfied 14 17.5%
Neutral 26 32.5%
Satisfied 24 30%
Very satisfied 16 20%
(Source: Primary data)
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 807
28: INTERPRETATION
The above graph shows that 30% respondents are satisfied,
32.5% respondents are neutral, 20% of them are very
satisfied and rest 17.5% of the respondents are dissatisfied
with the purchaseexperiencethrough onlineor e-commerce.
TABLE-3.29 QUALITY OF TRADING THROUGH ONLINE
How would you rate
the overall quality of
buying and selling
through online
Respondents Percentage
Very bad 6 7.5%
Poor 8 10%
Fair 12 15%
Good 24 30%
Excellent 30 37.5%
(Source: Primary data)
29: INTERPRETATION
The above graph shows that 37.5% respondents saythatthe
quality of trading through online is excellent. 30%
respondents say quality of trading online is good. Among
remaining 15% respondents say it is fair and 10% of them
say that it has poor quality. Rest 7.5% of them said it has
very bad quality of trading through online.
TABLE-30 5 STAR SCALE RATING FOR E-COMMERCE
Five star scale rating
for e-commerce.
Respondents Percentage
Very dissatisfied 0 0%
Dissatisfied 6 7.5%
Neutral 30 37.5%
Satisfied 44 55%
Very satisfied 0 0%
(Source: Primary data)
30: INTERPRETATION
The above chart says that 55% of respondents population
are satisfied buying through e-commerce. 37.5% of
respondents are showing neutral response and 7.5%
respondents were dissatisfied.
CONCLUSION
Online shopping is becoming more popular day by day with
the increase in usage of WORLD WIDE WEB as www. E-
commerce is continuously improving and becoming more
and more pivotal to business as technology continues to
advance and is something that should be taken advantage of
and implemented. From the inspection of the e-commerce,
the possibilities have become endless for both businesses
and consumers.
From the previous data analysis project can be concluded
that the awareness among people have increased as well as
most of them are making use of online shopping, product
information cancelling and returning of goods are clear and
simple to understand and more than half of the respondents
are satisfied with e-commerce.
REFERENCES
[1] Mutia Sobihah, Mahadzirah Mohamad, Nor Azman Mat
Ali, Wan Zulqurnain and Wan Ismail (2015), “E-
Commerce Service Quality on Customer Satisfaction,
Belief and Loyalty: A Proposal”, Mediterranean Journal
of Social Sciences MCSER Publishing, Rome-Italy, Vol 6
No 2
[2] Amit Kumar Gupta (2016), “Customer Satisfaction and
Loyalty of E-commerce in India”, Conference
Proceeding of International Conference on "Recent
Innovation in Science, Technology and Management"
(ICRISTM-16) at Indian Federation of United Nations
Associations (IFUNA) , New Delhi, India.
[3] Dr. A. Valarmathi (2017), “A Study on Customer
Perception on Online Purchase and Digital Marketing
in Coimbatore”, International Journal of Latest
Engineering and Management Research (IJLEMR),
Volume 02 - Issue 10
[4] Mustafa I. Eid (2011), “Determinants of E-Commerce
Customer Satisfaction, Trust, and Loyalty in Saudi
Arabia”, Article in Journal of Electronic Commerce
Research.
[5] Chander Deep Purthi & Pramod Gupta (2017), “The
impact of online shopping on customer satisfaction in
Indian marketing”, International Journal of Marketing
& Financial Management, Volume 5, (Issue 5, May-
2017).
[6] Habibur Rahman , Lili Han (2011), “Customer
satisfaction in E-Commerce: A case study of China and
Bangladesh”
[7] Alotaibi Khalid, Ook Lee,MinkyongChoiand Jongchang
Ahn (2005), “The effect of customer satisfaction with
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Information Technology 31st January 2018. Vol.96.No
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[8] Iluno Ezinne Chinyere & Yakubu Joy Asmau (2017),
“The Impact of e-Commerce on Customer Satisfaction:
a Case Study of Kaduna State Metropolis in Nigeria”,
International Journal of Advanced Studies in
Economics and Public Sector Management | IJASEPSM,
Volume 5, Number 3 December,
[9] Ali Khatibi1, Mohd Ismail and Hishamuddin Ismail
(2003), “The Effect of E- Commerce on Customer
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7(3): 201-208 (2003)
[10] Zahra Tabaei, Mohammad Fathian and Mohammad
Reza Gholamian (2011), “Effective Factors on
Electronic Customers Satisfaction”, International
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IACSIT Press, Singapore, vol.12
[11] Sathya (2015), “A Study on Digital Marketing and it’s
Impact”, International Journal of Science and Research
(IJSR), Volume 6 Issue 2
[12] Dr.M.Rajesh and G.Purushothaman (2013), “Consumer
perception towards online shopping in Kanchipuram”,
International Interdisciplinary Research Journal,Vol.1
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[13] Dr. K.Krishnamurthy and S.H. Rehana Banu (2015),
“Customer perception and response towards online
marketing in Chennai city”, Asia Pacific Journal of
Research Vol: I. Issue XXVII.

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The Role of E Commerce in Improving Customer Satisfaction

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume: 3 | Issue: 4 | May-Jun 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470 @ IJTSRD | Unique Paper ID – IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 802 The Role of E-Commerce in Improving Customer Satisfaction H. Bhaskar Shetty1, Ms. Sowmya L2 1Assistant Professor, 2Student 1,2SRJ PU College for Women, Department of Commerce, Bangalore, Karnataka, India How to cite this paper: H. Bhaskar Shetty | Ms. Sowmya L "The Role of E- Commerce in Improving Customer Satisfaction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-3 | Issue-4, June 2019, pp.802-807, URL: https://www.ijtsrd.c om/papers/ijtsrd23 904.pdf Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/ by/4.0) ABSTRACT The cut-throat competition in E-commerce has forced the companiestofocus on providing customer satisfaction and gain customerloyalty. Thus,puttinguplong term customer relationships through customer satisfaction is one of the pivotal foundation key factors for successfulmarketing, includingonlinemarketing.This research work makes an attempt to examine the role of e-commerce in building customer satisfaction and its importance to maintain loyalty in consumers. However, the study indicates that there is a progressive trend in increasing awareness and its utilities. By the study we canunderstandthatglobalaccess, 24 hours availability, convenience, increase product information are some of the ways to enhance customer satisfaction as well as the drawback experienced by the respondents is the fear of payment sin security in e-commerce. The paper was with objectives of knowing the awareness, loyalty and the attitude towards online marketing. Keywords: E-commerce, online marketing, customersatisfaction, consumerloyalty INTRODUCTION The term electronic commerce (e-commerce) was originatedback in1960’s.This e-commerce made a drastic change in business world. E-commerce has become the most popular methods of making money. People buy online as they are benefited with lower price, accessibility, wider choice etc., even business sell online because of higher margin, lower cost of goods sold inventorymanagement and so on. The E-commerce market in India is increasing in size at a rapid pace. Better internet connectivity, better technology, greater access to smart phones and other mobile devices are the drivers for this growth. Various initiatives by government of India like Digital India, Make in India, Startup-India and Skill India provide greater inputs to the e-commerce industry in the country. The e-commerce online shopping is not only improving in terms of buyers and retail transaction, butalso improving in terms of its stretch out and coverage. The introduction of e-commerce has seen a sensational clash on the traditional ways of doing business. It is a new trend in the world of commerce or business. E-commerce will become an essential element in every business and everywhere in our life shortly. It built a situation in the economy where all the business must get them in e- commerce either the business is big or small, or else they have to lose the market or quit. The e-commerce gradually changing the way you shop, learn, interact and transact business. In the emerging global economy e-commerce and e-business have progressively become essential aspect of business strategy and also in economic development. REASONS WHY CUSTOMER SATISFACTION IS IMPORTANT Preserving satisfied customer is cheaper than acquiring new ones. Customer satisfaction is more significant than price. Customer satisfaction keeps your brand front of the competitors. Customer satisfaction aid for customer retention. Customer satisfaction elevates customer loyalty. Customer satisfaction reduces advertisement cost as there is word of mouth publicity. Customer satisfaction is a factorthathelps you standout of the competition. LITERATURE REVIEW Meaning of e-commerce and customer satisfaction Ecommerce is the combination of communication and information sharing technology which is facilitated by an electronic medium to do business activity and achieve business objective. Customer satisfaction means the degree to which a customer is happy with their trade experience with the company. It measures how well a firm is able to meet their customer’s expectations. Customer satisfaction is a key factor in marketing because a firm cannot retain its customers unless having highly satisfied customers. Elizabeth Goldsmith and Sue L.T. McGregor (2000)analyzed the impact of e-commerce on consumers, public policy, business and education. A discussion was on public policy initiatives, research questions and ideas for future research are given. Patric Barwise(2001)reported thatprobability 99 % of e-commerce today is done using PCs either desktops or Laptops. For B2B e-commerce this is not easily possible to change for B2C e-commerce however, things will be more complex, there will be wider range of relevant media including interactive digital TV and a range of mobile and IJTSRD23904
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 803 wireless service there will be huge difference between different consumer’s ownershiptoolsand access technology. Some will have broadband access and others may not have digital communication at all. Jackie Gilbert Bette Ann Stead (2001) reviewed the incredible growth of electronic commerce (e-commerce) and presented ethical issues that have emerged. Security concerns, spamming, websites that do not carry an “advertising” label, cyber squatters, online marketing to children, conflicts of interest, manufacturers competing with intermediaries online and “dinosaurs” were considered. Diana Oblinger (2001) reported that one is that education and continuous learning have become so vital in all societies that the demands for distance andopenlearning will increase. As the availability of the Internet expands as computing devices become cheaper and an energy requirements and form factors shrink, learning will become more popular. Prithviraj Dasgupta and Kasturi Sengupta (2002) reported that the recent growth of Internet Infrastructure and Introduction of economic reforms in the Insurance sector have opened up the monopolistic Indian Insurance market to competition from foreign alliances. Although the focus of e-commerce has been predominantly on business to consumer (B2C) applications the emphasis is now shifting towards business to business (B2B) applications. The Insurance Industry gives an appropriate model that combines both B2C and B2B applications. James Christopher (2004) examined all the best elements of ecommerce do not guarantee consumers will visitor remain loyal. But looking at what they want and their satisfaction levels of other well established e-tailors such asAmazonand eBay who have already invested significant resources to understand what consumer’s needs, wants and desires. Possibly it would be helpful to remove these established pure players since they have been and continue to be highly successful as retain high marks for customer satisfaction. OBJECTIVES OF THE STUDY To study the awareness of E-Commerce in customers. To analyze the attitude of customers towards E- Commerce. To find out the how well E-Commerce satisfying customers. METHODOLOGY DATA COLLECTION The study was conducted using random sampling method. The study was based on both primary data and secondary data. The Primary Data had been collected through structured questionnaire. The Secondary data had been collected from journals, books and magazines for the study. The size of the sample have been approximated to respondents who are customers presently purchasing products using E-Commerce. In this studyRandomsampling method is used. Sampling technique is simple random sample method. The sampling size refers to the number of elements to be chosen from the population to conduct sample. For this study sample size was 80. DATA ANALYSIS TABLE-1 GENDER - WISE CLASSIFICATION OF RESPONDENTS Gender Respondents Percentage Male 59 73.75% Female 21 26.25% (Source: Primary data) 1: INTERPRETATION In the study, more than half of the respondents were male and remaining are female respondents. In the whole sample respondent population 73.75% were male respondents and remaining 26.25% were female respondents. TABLE-2 AGE - WISE CLASSIFICATION OF RESPONDENTS (Source: Primary data) 2: INTERPRETATION The above figure represents that the classification of respondents based on their age. There were 55% respondents whose age is between 18-29 years, 30% respondents whose age between 30-39 years, 11.25% respondents whose age between 40-49 years and 3.75% respondents above 50 years. TABLE-3 EDUCATIONAL QUALIFICATION OF RESPONDENTS Education qualification Respondents Percentage SSLC 11 13.75% PUC 18 22.5% Graduation 42 52.5% Post Graduation 9 11.25% (Source: Primary data) 3: INTERPRETATION The chart represents that53%ofrespondents aregraduates, 22% of respondents are PUC, 14% of respondents are SSLC and rest 11% of respondents are post graduates. Majority of the respondents are graduates. TABLE-4 OCCUPATION OF RESPONDENTS Occupation Respondents Percentage Student 41 51.25% Business 20 25% House wife 13 16.25% Employee 6 7.5% (Source: Primary data) 4: INTERPRETATION The figure shows that51%ofrespondentsarestudents,25% of respondents are business people, 16% of respondentsare house wives and only 8% of respondents are employees. It means the using populations of e-commerce are students. TABLE-5 MARITAL STATUS OF RESPONDENTS Marital status Respondents Percentage Married 22 27.5% Single 58 72.5% (Source: Primary data) 5: INTERPRETATION The above chart shows that 72.5% of the respondent population are single and rest 27.5% of the respondent population are married. It represents that there is an influence of marital status in the usage of e-commerce. Age Respondents Percentage 18-29 years 44 55% 30-39 years 24 30% 40-49 years 9 11.25% Above 50 years 3 3.75%
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 804 TABLE-6 E-COMMERCE AWARENESS Since when you are aware of e-commerce Respondents Percentage 1-5 years 74 92.5% 5-10 years 6 7.5% >10 years 0 0% I don’t know 0 0% (Source: Primary data) 6: INTERPRETATION The above chart represents that 92.5% of respondents’ population are aware of e-commerce since1-5 years. Among the whole sample population, 7.5% of them wereawareof e- commerce since 10 years. There were no respondents who were not aware of e-commerce. TABLE-7 TIME PERIOD OF USAGE OF E-COMMERCE Since how many years are you using e-commerce? Respondents Percentage 1-5 years 42 52.5% 5-10 years 4 5% >10 years 0 0% Not yet used 34 42.5% (Source: Primary data) 7: INTERPRETATION The above chart represents that 52.5% of respondents are using e- commerce since 5 years. There are 5% of respondents who are using since 10 years and 42.5% of the respondents have not yet used e-commerce till today. TABLE-8 PURPOSE OF USING E-COMMERCE Purpose for use e- commerce is Respondents Percentage Personal use (BUYING) 72 90% Business use (SELLING) 8 10% Both personal and business use 0 0% (Source: Primary data) 8: INTERPRETATION The chart shows that 90% of the respondent population is making use of online commerce or e-commerce for personal use. Rest 10% of population is makinguseofe-commerce for business purpose. There arenorespondentswho aremaking use of online commerce both for personal and business purpose. TABLE-9 BENEFITS OF E-COMMERCE TO CONSUMERS How do you think e- commerce is benefited to consumers Respondents Percentage 24/7 accessibility 0 0% Broadens consumers choice 0 0% Comparative price 0 0% All the above 80 100% (Source: Primary data) 9: INTERPRETATION The total respondent population (100%) has chosen all the above options. It means that consumers are benefited with 24/7 accessibility, broadens consumers choice and comparative price. TABLE-10 BENEFITS OF E-COMMERCE TO BUSINESS How do you think e- commerce helps the business Respondents Percentage Smoothens business 16 20% Less startup, transaction and inventory cost 8 10% Global reach 44 55% All the above 12 15% (Source: Primary data) 10: INTERPRETATION The chart shows that 55% of sample population’s opinion is global reach which is a major benefit by e-commerce to the business. 20% of respondents say that e-commerce benefits the business by smoothening the business. 10% of respondents say it reduces the cost to the business. Remaining 15% of respondents say all of those options are the benefits of e-commerce to the business. TABLE-11 THE EXTENT TO WHICH E-COMMERE MEETS NEEDS OF CONSUMERS do products in e- commerce meet need Respondents Percentage Badly 6 7.5% Fine 10 12.5% Well 24 30% Very well 40 50% (Source: Primary data) 11: INTERPRETATION The above chart shows that 50% of population says that products meet their needsvery well.30%of therespondents say that products meet their needs well. 12.5% of respondents say that products are fine in meeting their needs and 7.5% of the population says that products meet their needs badly. TABLE-12 CLEAR PRE-INFORMATION ABOUT GOODS AND SERVICES Adequate and clear product information Respondents Percentage Strongly disagree 0 0% Disagree 12 15% Neutral 6 7.5% Agree 42 52.5% Strongly agree 20 25% (Source: Primary data) 12: INTERPRETATION The above chart shows that 52.5% of respondents agree, 25% of respondents stronglyagree,7.5%of themareneutral and 15% of respondents disagree with the statements that pre-information is adequate. TABLE-13 E-COMMERCE MADE IT EASY TO HANDLE PURCHASES The e-commerce made easy to handle my issues. Respondents Percentage Strongly disagree 0 0% Disagree 2 2.5% Neutral 8 10% Agree 58 72.5% Strongly agree 12 15% (Source: Primary data)
  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 805 13: INTERPRETATION The chart shows that 72.5% of the population agrees that e commerce made it easy to handle the purchase issues. 15% of the population strongly agrees, 10% of them are neutral and 2.5% of them disagree by saying that e-commerce made it easy to handle purchase issues. TABLE-14 PRICE OF PRODUCTS ARE COMPETITIVE The price of product or services on website is competitive Respondents Percentage Strongly disagree 4 5% Disagree 10 12.5% Neutral 14 17.5% Agree 40 50% Strongly agree 12 15% (Source: Primary data) 14: INTERPRETATION The above chart shows that 50% respondents in the sample population agree that the prices of products are competitive in e-commerce. Among the population 15% respondents strongly agree, 17.5% of them are neutral, 12.5% of them disagree and 5% of them strongly disagree that the prices of the product are competitive on e-commerce. TABLE-15 PRODUCTS PRICES ARE CHEAP Price of goods in internet is cheaper. Respondents Percentage Strongly disagree 20 25% Disagree 6 7.5% Neutral 8 10% Agree 46 57.5% Strongly agree 0 0% (Source: Primary data) 15: INTERPRETATION The above graph shows that 57.5% respondents agree that product prices are cheaper. 25% respondents strongly disagree, 10% respondents are neutral, 7.5% of the respondents disagree that the price of productsarecheaper. TABLE-16 BILLING AND SHIPPING INFORMATION ARE SIMPLE Billing and shipping information is clear Respondents Percentage Strongly disagree 0 0% Disagree 16 20% Neutral 32 40% Agree 20 25% Strongly agree 12 15% (Source: Primary data) 16: INTERPRETATION The chart shows that 25% of the population agrees that billing and shipping information are simple to understand. 15% respondents of the population strongly agree, 40% of them are neutral and 20% of them disagree for the question billing and shipping information are clear and easy to TABLE-17 PRODUCT PERFORMANCE AS EXPECTED Product performed as I expected Respondents Percentage Strongly disagree 16 20% Disagree 24 30% Neutral 24 30% Agree 16 20% Strongly agree 0 0% 17: INTERPRETATION The above chart says that 30% respondents of the population have shown disagree and neutral response towards the question whether the products performed as they expected. 20% of respondents said that they agree and remaining 20% of them say that they strongly disagree for the statement products performed as they expected. TABLE-18 SHOPPING IN E-COMMERCE IS TIME SAVING Shopping in e-commerce is time saving Respondents Percentage Strongly disagree 0 0% Disagree 0 0% Neutral 4 5% Agree 64 80% Strongly agree 12 15% (Source: Primary data) 18: INTERPRETATION The above chart shows that 80% respondents of the sample population agree that e-commerce is timesaving.15%of the respondents strongly agreed and 5% of them showed neutral response for the statement that e-commerce is time saving. TABLE-19 HOW RESPONSIVE IS E-COMMERCE TO CUSTOMER QUESTIONS How responsive is e- commerce to customers Respondents Percentage Irresponsive 10 12.5% Usually responsive 56 70% Very responsive 14 17.5% (Source: Primary data) 19: INTERPRETATION The above chart shows that 70% of them say that e- commerce is usually responsive.17.5%of themsaythatthey are very responsive and remaining 12.5% of them say that the e-commerce is irresponsive for the queries asked by the customers or consumers. TABLE-20 AFTER SALES SERVICE OF E-COMMERCE After sales service of e-commerce Respondents Percentage Very bad 0 0% Poor 8 10% Fair 66 82.5% Good 6 7.5% Excellent 0 0% (Source: Primary data) 20: INTERPRETATION The above graph shows that 82.5% respondents say that after sales service is fair. 10% respondents of the sample population say poor after sales service. 7.5% respondents say that after sales service is good in online or e-commerce.
  • 5. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 806 TABLE-21 EASY TO CANCEL ORDER OR RETURN GOODS PURCHASED Easy to cancel order or return goods purchased Respondents Percentage Strongly disagree 0 0% Disagree 18 22.5% Neutral 24 30% Agree 34 42.5% Strongly agree 4 5% (Source: Primary data) 21: INTERPRETATION The above graph shows 42.5% respondents are agreeing that it is easy to cancel order or return goods purchased through online. 30% respondents are neutral, 22.5% respondents disagree and rest 5% respondents strongly agree that it is easy to cancel order and return the goods purchased. TABLE-22 E-COMMERCE ELEMINATES MIDDLEMEN E-commerce eliminates middlemen Respondents Percentage Strongly disagree 0 0% Disagree 12 15% Neutral 58 72.5% Agree 10 12.5% Strongly agree 0 0% (Source: Primary data) 22: INTERPRETATION The above graph shows that 72.5% of the respondents (58 respondents) gave neutral response, 15% respondents disagree and 12.5% respondents agree that e-commerce eliminates middlemen. TABLE-23 FREQUENCY OF PURCHASE ANNUALLY Frequently of purchase Respondents Percentage Purchase once annually 8 10% 2-5 purchase 40 50% 6-10 purchase 20 25% 11 and above purchases 12 15% (Source: Primary data) 23: INTERPRETATION The above graph shows 50% respondents of the population usually purchase 2-5 times annually. 25% respondents purchase 6-10 times annually. 15% of them purchase11 and above times annually and 10% of them purchase once annually. TABLE-24 LIKELY TO BUY AGAIN How likely to buy again Respondents Percentage Not likely at all 0 0% Not likely 36 45% Neutral 0 0% Likely 44 55% Very likely 0 0% (Source: Primary data) 24: INTERPRETATION The above chart shows that 55% respondents are likely to buy again through online or e-commerce. Remaining 45% respondents have said that they are not likely to buy again through e-commerce. TABLE-25 HOW GOOD E-COMMERCE IS OVER TRADITIONAL COMMERCE How good is e- commerce than traditional commerce Respondents Percentage Very bad 0 0% Poor 10 12.5% Fair 24 30% Good 40 50% Excellent 6 7.5% (Source: Primary data) 25: INTERPRETATION The above chart representsthat50%respondentssaythate- commerce is good over traditional commerce. 30% respondents are saying that e-commerce is fair enough than traditional commerce. Among remaining 7.5% respondents excellent and 12.5% respondents say poor about how good e-commerce is over traditional commerce. TABLE-26 LIKELY TO RECOMMEND Likely to recommend Respondents Percentage Not likely at all 6 7.5% Not likely 16 20% Neutral 32 40% Likely 14 17.5% Very likely 12 15% (Source: Primary data) 26: INTERPRETATION The above graph shows that 40% of the population are neutral towards likely to recommend. 20% respondents are not likely, 17.5% respondents are likely, 15% respondents are very likely, 7.5% respondents are not likely at all towards question likely to recommend. TABLE-27 INCREASE IN E-COMMERCE USING POPULATION Increase in e-commerce using population Respondents Percentage Strongly disagree 0 0% Disagree 0 0% Neutral 4 5% Agree 64 80% Strongly agree 12 15% (Source: Primary data) 27: INTERPRETATION The above graph shows that 80% respondents of thesample population agree that using population of e-commerce has increased over years. 15% of the respondents strongly agreed and 5% of them show neutral response for the statement that using population of e-commerce has increased over years. TABLE-28 SATISFACTION WITH PURCHASE EXPERIENCE How satisfied with purchase experience Respondents Percentage Very dissatisfied 0 0% Dissatisfied 14 17.5% Neutral 26 32.5% Satisfied 24 30% Very satisfied 16 20% (Source: Primary data)
  • 6. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD23904 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 807 28: INTERPRETATION The above graph shows that 30% respondents are satisfied, 32.5% respondents are neutral, 20% of them are very satisfied and rest 17.5% of the respondents are dissatisfied with the purchaseexperiencethrough onlineor e-commerce. TABLE-3.29 QUALITY OF TRADING THROUGH ONLINE How would you rate the overall quality of buying and selling through online Respondents Percentage Very bad 6 7.5% Poor 8 10% Fair 12 15% Good 24 30% Excellent 30 37.5% (Source: Primary data) 29: INTERPRETATION The above graph shows that 37.5% respondents saythatthe quality of trading through online is excellent. 30% respondents say quality of trading online is good. Among remaining 15% respondents say it is fair and 10% of them say that it has poor quality. Rest 7.5% of them said it has very bad quality of trading through online. TABLE-30 5 STAR SCALE RATING FOR E-COMMERCE Five star scale rating for e-commerce. Respondents Percentage Very dissatisfied 0 0% Dissatisfied 6 7.5% Neutral 30 37.5% Satisfied 44 55% Very satisfied 0 0% (Source: Primary data) 30: INTERPRETATION The above chart says that 55% of respondents population are satisfied buying through e-commerce. 37.5% of respondents are showing neutral response and 7.5% respondents were dissatisfied. CONCLUSION Online shopping is becoming more popular day by day with the increase in usage of WORLD WIDE WEB as www. E- commerce is continuously improving and becoming more and more pivotal to business as technology continues to advance and is something that should be taken advantage of and implemented. From the inspection of the e-commerce, the possibilities have become endless for both businesses and consumers. From the previous data analysis project can be concluded that the awareness among people have increased as well as most of them are making use of online shopping, product information cancelling and returning of goods are clear and simple to understand and more than half of the respondents are satisfied with e-commerce. REFERENCES [1] Mutia Sobihah, Mahadzirah Mohamad, Nor Azman Mat Ali, Wan Zulqurnain and Wan Ismail (2015), “E- Commerce Service Quality on Customer Satisfaction, Belief and Loyalty: A Proposal”, Mediterranean Journal of Social Sciences MCSER Publishing, Rome-Italy, Vol 6 No 2 [2] Amit Kumar Gupta (2016), “Customer Satisfaction and Loyalty of E-commerce in India”, Conference Proceeding of International Conference on "Recent Innovation in Science, Technology and Management" (ICRISTM-16) at Indian Federation of United Nations Associations (IFUNA) , New Delhi, India. [3] Dr. A. Valarmathi (2017), “A Study on Customer Perception on Online Purchase and Digital Marketing in Coimbatore”, International Journal of Latest Engineering and Management Research (IJLEMR), Volume 02 - Issue 10 [4] Mustafa I. Eid (2011), “Determinants of E-Commerce Customer Satisfaction, Trust, and Loyalty in Saudi Arabia”, Article in Journal of Electronic Commerce Research. [5] Chander Deep Purthi & Pramod Gupta (2017), “The impact of online shopping on customer satisfaction in Indian marketing”, International Journal of Marketing & Financial Management, Volume 5, (Issue 5, May- 2017). [6] Habibur Rahman , Lili Han (2011), “Customer satisfaction in E-Commerce: A case study of China and Bangladesh” [7] Alotaibi Khalid, Ook Lee,MinkyongChoiand Jongchang Ahn (2005), “The effect of customer satisfaction with ecommerce system”,Journalof Theoreticaland Applied Information Technology 31st January 2018. Vol.96.No 2 © 2005 [8] Iluno Ezinne Chinyere & Yakubu Joy Asmau (2017), “The Impact of e-Commerce on Customer Satisfaction: a Case Study of Kaduna State Metropolis in Nigeria”, International Journal of Advanced Studies in Economics and Public Sector Management | IJASEPSM, Volume 5, Number 3 December, [9] Ali Khatibi1, Mohd Ismail and Hishamuddin Ismail (2003), “The Effect of E- Commerce on Customer Satisfaction in Malaysia”, © Kamla-Raj 2003,J.Soc.Sci., 7(3): 201-208 (2003) [10] Zahra Tabaei, Mohammad Fathian and Mohammad Reza Gholamian (2011), “Effective Factors on Electronic Customers Satisfaction”, International Conference on Information and Financial Engineering IACSIT Press, Singapore, vol.12 [11] Sathya (2015), “A Study on Digital Marketing and it’s Impact”, International Journal of Science and Research (IJSR), Volume 6 Issue 2 [12] Dr.M.Rajesh and G.Purushothaman (2013), “Consumer perception towards online shopping in Kanchipuram”, International Interdisciplinary Research Journal,Vol.1 (2). [13] Dr. K.Krishnamurthy and S.H. Rehana Banu (2015), “Customer perception and response towards online marketing in Chennai city”, Asia Pacific Journal of Research Vol: I. Issue XXVII.