DR 19
DR 19
Prof. Monika Sharma
(Professor)
Faculty of Commerce &
Business Administration
M.M.H. College, Ghaziabad
Dated : ........................
CERTIFICATE
This is to certify that the work embodied in this thesis entitled
“Impact of Social Media Marketing on Brand Awareness with
Reference to Fashion Industry” has been carried out by Ms. Pooja
Tyagi under my supervision and guidance.
No part of this thesis has been submitted for any other degree or diploma.
The work included in this thesis is original and is own work of the
candidate.
The candidate has put the required attendance as per the ordinance of
Ch. Charan Singh University, Meerut.
The study involved the analysis of data collected through the distribution
of questionnaires, which aimed to gauge the impact of social media on
brand marketing and brand awareness. Respondents encompassed various
criteria, including patterns of social media usage and their corresponding
impact on customers.
(Pooja Tyagi)
Research Scholar
ACKNOWLEDGEMENT
I find it challenging to adequately convey my gratitude to all those who
played a pivotal role in the completion of this research project. I wish to
express my deepest appreciation to my supervisor, Prof. Monika Sharma,
a Professor at the Faculty of Commerce & Business Administration,
MMH College Ghaziabad, Uttar Pradesh. Her inspiration, unwavering
support, and invaluable guidance were instrumental in making this
extensive research endeavor possible. It is her generous mentorship that
has guided me throughout this research journey.
I am equally indebted to Prof. Piyush Chauhan, the Principal of MMH
College Ghaziabad, Uttar Pradesh. Prof. Chauhan is a distinguished
scholar, educator, and an adept administrator in the realm of educational
management. His kind assistance and encouragement were instrumental
in ensuring the timely completion of this study. I extend my heartfelt
thanks to him for providing essential research resources and continuous
support through the approved research center.
My profound gratitude extends to Prof. Bhushan Kapoor, the Head of the
Faculty of Commerce & Business Administration at MMH College
Ghaziabad, Uttar Pradesh. His timely and valuable assistance, as well as
unwavering support, have been a constant source of encouragement
throughout the research process.
I also wish to extend my thanks to the other faculty members of the
Faculty of Commerce & Business Administration at MMH College
Ghaziabad, Uttar Pradesh, for their kind assistance and support in the
completion of this thesis.
My deepest appreciation and sincere thanks go to the officials of various
administrative departments for their cooperation and assistance in
providing essential data for this study. I am also grateful for the support
and resources offered by the libraries, including the Ratan Tata Library,
the Library of the Delhi School of Economics, the ICSSR Library, the
Library of JNU Delhi, and the CCS University Library in Meerut.
I would like to express my gratitude to the academicians and subject
experts who generously shared their valuable suggestions and expert
insights, contributing significantly to the research.
My heartfelt thanks go to my parents, Smt. Anita Tyagi (Ret. Vice
Principal) and Shri Rakesh Kumar Tyagi (Marketing Head), my father-in-
law Dr.Vidipt Tyagi (BMS) and mother-in-law Smt. Poonam Tyagi(LIC)
for taking on family responsibilities and allowing me the time and space
to fully commit to this project. I am profoundly grateful for their support.
I am at a loss for words to adequately convey my appreciation to my
husband, Shri Shobhit Tyagi, a Senior Data Scientist at Impetus
Technologies. His unwavering assistance, guidance, and suggestions have
been invaluable throughout the research process. I extend my deepest
gratitude, love, and thanks to my son, Vivaan Tyagi.
This humble work is dedicated to them with the utmost reverence.
Lastly, I would like to thank Mr. Sanjeev Kaushik for efficiently and
promptly typing the manuscript within a very short timeframe.
(Pooja Tyagi)
Research Scholar
LIST OF TABLES
Table Page
Particulars .
No. No.
5.1. Statistics 135
5.2. Age of the Respondents 135
5.3. Age Group 135
5.4. Gender of the Respondent 136
5.5. Occupation 137
5.6. Do you use Social Media? 138
5.7. Do you tend to search for others' opinions online only 139
when you want to buy fashion products?
5.8. On the internet, I'd like to send E-Word of Mouth 141
message and influence others opinion.
5.9. I would like to share my feedback/opinion regarding 142
product that I buy using social media.
5.10. Do online advertisements/endorsement on social media 143
sites for certain fashion brands influence you to buy
that product?
5.11. Do reviews and ratings affect your buying decisions? 144
5.12. I believe that social media helps in acquiring 145
information about fashion trends.
5.13. I can easily find the latest updates and news about my 147
favorite fashion designs on Social Media.
5.14. Social sites help me in providing better information 148
about the product.
5.15. I follow the latest fashion trends from social media. 149
5.16. I like wearing latest trending clothes and outfits that 150
helps me in redefining myself.
5.17. I love buying from the latest trends when it comes to 151
buying any dress.
5.18. Wearing latest fashion gives smile to my face and boost 152
my confidence.
5.19. I use Social Media for buying/recommending fashion 153
apparels.
5.20. I often buy products that I see on these sites. 154
5.21. I believe on buying branded clothes. 155
5.22. I trust information available on my Instagram/ 156
Facebook/twitter.
5.23. Positive/negative review of any product influence the 157
purchase of that product.
5.24. When I buy a product online, the impact of negative 158
reviews on the web is greater for fashion related
products on my purchasing decision.
5.25. I think fashion products must be bought only after 159
reading other's reviews.
5.26. I frequently follow fashion related blogs. 160
5.27. I always notice fashion apparel advertisement on social 161
media.
5.28. I refer to Social media whenever I want to buy any 162
clothes.
5.29. Social Sites help me in making my decision towards 163
buying any fashion apparels.
5.30. I am able to distinguish between various fashion brands 164
available on Social Media according to my preference
and taste.
5.31. I can quickly recall symbol or logo of the particular 166
fashion / clothes that appeared in the social media.
5.32. Using social sites provides me better understanding 167
about the particular brand of the fashion
5.33. Does your favorite brand always fulfil your 168
expectations?
5.34. I believe in some brands that will always provide me 169
excellent features.
5.35. I love to buy from the particular brand that is well 170
established in the market.
15.36. When it comes to buying any specific clothes or outfits 171
I already know about which specific brand I want to
buy that in order to save my time.
5.37. I got good value for money when I buy from this 172
specific brand.
5.38. I usually use this product/brand as my first choice in 173
comparison with the other product/brand.
5.39. I would recommend this product/brand to others 174
through social media.
5.40. When it comes to fashion I am very loyal to some of 175
the specific brands.
5.41. I really liked the clothes I bought from social 176
networking sites.
5.42. I liked the way fashion industry launch their product 177
chain or design through social media channels.
LIST OF GRAPHS
Graph Page
Particulars .
No. No.
5.1 Age Group 136
5.2 Gender 137
5.3 Occupation 138
5.4 Do You Social Media? 139
5.5 Do you tend to search for others' opinions online only 140
when you want to buy fashion products?
5.6 On the internet, I'd like to send E-Word of Mouth 141
message and influence others opinion.
5.7. I would like to share my feedback/opinion regarding 142
product that I buy using social media.
5.8. Do online advertisements/endorsement on social 144
media sites for certain fashion brands influence you to
buy that product?
5.9. Do reviews and ratings affect your buying decisions? 145
5.10. I believe that social media helps in acquiring 146
information about fashion trends.
5.11. I can easily find the latest updates and news about my 147
favorite fashion designs on Social Media.
5.12. Social sites help me in providing better information 148
about the product.
5.13. I follow the latest fashion trends from social media. 149
5.14. I like wearing latest trending clothes and outfits that 150
helps me in redefining myself.
5.15. I love buying from the latest trends when it comes to 151
buying any dress.
5.16. Wearing latest fashion gives smile to my face and 152
boost my confidence.
5.17. I use Social Media for buying/recommending fashion 153
apparels.
5.18. I often buy products that I see on these sites. 154
5.19. I believe on buying branded clothes. 155
5.20. I trust information available on my 156
Instagram/Facebook/twitter.
5.21. Positive/negative review of any product influence the 157
purchase of that product.
5.22. When I buy a product online, the impact of negative 159
reviews on the web is greater for fashion related
products on my purchasing decision.
5.23. I think fashion products must be bought only after 160
reading other's reviews.
5.24. I frequently follow fashion related blogs. 161
5.25. I always notice fashion apparel advertisement on 162
social media.
5.26. I refer to Social media whenever I want to buy any 163
clothes.
5.27. Social Sites help me in making my decision towards 164
buying any fashion apparels.
5.28. I am able to distinguish between various fashion 165
brands available on Social Media according to my
preference and taste.
5.29. I can quickly recall symbol or logo of the particular 166
fashion / clothes that appeared in the social media.
5.30. Using social sites provides me better understanding 167
about the particular brand of the fashion
5.31. Does your favorite brand always fulfil your 168
expectations?
5.32. I believe in some brands that will always provide me 169
excellent features.
5.33. I love to buy from the particular brand that is well 170
established in the market.
5.34. When it comes to buying any specific clothes or 171
outfits I already know about which specific brand I
want to buy that in order to save my time.
5.35. I got good value for money when I buy from this 172
specific brand.
5.36. I usually use this product/brand as my first choice in 173
comparison with the other product/brand.
5.37. I would recommend this product/brand to others 174
through social media.
5.38. When it comes to fashion I am very loyal to some of 175
the specific brands.
5.39. I really liked the clothes I bought from social 176
networking sites.
5.40. I liked the way fashion industry launch their product 177
chain or design through social media channels.
CONTENTS
Supervisor’s Certificate
Plagiarism Certificate
Preface
Acknowledgement
Chapter-1 Introduction 1-72
1.1 History and Current Trends in Social
Media
1.2 Social Media
1.3 Social Media Marketing
1.4 Evolution of Social Media
1.5 Social Media Definition
1.6 Social Media Classification
1.7 Social Media Marketing
1.8 Commonly Social Media Channels Used
by Marketers
1.9 E-WOM and Social Media
1.10 Theories of Social Media
Chapter-2 Review of Literature 73-101
2.1 Chapter Overview
2.2 Social Media Marketing and Its Features
2.3 Development in the Fashion Industry
Using Social Media
2.4 Current trends in the Fashion Industry
through Social Media Marketing to
Increase Brand Equity
Chapter-3 Research Methodology 102-120
3.1 Data Collection
3.2 Data Analysis
3.3 Hypothesis Analysis
3.4 Conceptual Framework
3.5 Results and Analysis
3.6 Multiple Regression Analysis—MLR
3.7 Relation between Parameters
3.8 Multiple Linear Regression Model
3.9 Hypothesis Testing
Chapter-4 Findings and Analysis 121-132
Chapter-5 Analysis of Data 133-183
Chapter-6 Recommendations & Conclusions 184-220
6.1 Recommendations
6.2 Conclusion
6.3 Limitations
6.4 Future Research and Recommendations
Bibliography 221-205
Questionnaire i-vi
Chapter-1
Introduction
1.1 History and Current Trends in Social
Media
1.2 Social Media
1.3 Social Media Marketing
1.4 Evolution of Social Media
1.5 Social Media Definition
1.6 Social Media Classification
1.7 Social Media Marketing
1.8 Commonly Social Media Channels Used
by Marketers
1.9 E-WOM and Social Media
1.10 Theories of Social Media
Chapter-1
Introduction
This study aims to examine how social media influences brand equity in
the Indian fashion industry. Since the fashion business, particularly in
India, is one of the most influential sectors worldwide. Statisticians
estimate that the Indian retail market would grow at a 10% compound
annual growth rate (CAGR) to reach Rs. 1,02,50,500 crore (US $ 1,576
billion) by 2026 from its 2016 worth of Rs. 41,66,500 crore (about $ 641
billion). Currently valued at approximately Rs. 2,97,091 crore (US $ 46
billion), the fashion retail market is anticipated to grow at a promising
CAGR of 9.7 percent to reach Rs. 7,48,398 crore (US $115 billion) by
2026. (IMAGES) Fashion industry business. It is likely projected that the
developed staged markets in the US, Europe, and Japan will expand at a
rate that is realistically between 2 and 3 percent, giving India's GDP
growth rate of roughly 7% an advantage. The American Marketing
Association defines a brand as “A name, word, design, symbol, or any
type of identification that sees how one is selling goods or services in
different form from those of others in the market” if we are to discuss
about brands in this research. Brands are referred to legally as
trademarks. A brand may designate a single item, a group of related
things, or all of the seller's products. The ideal phrase, if used to the
company as a whole, is trade name.
Therefore the real means of fetching the overall attention and also to draft
up for meeting the different needs and wants of customers, also many
experts are giving their best in performing advertisements with the
utilisation of social media application with website in order to craft an
advertisement for doing motivation of User brand images are shared by
3
other people (Waters, Canfield, Foster & Hardy, 2011; Gallaugher &
Ransbotham, 2010; Dickey & Lewis, 2010). Due to the widespread
adoption of web 2.0 technologies, it has never been easier for companies
and the ability of users to create and share material, communicate
information, and suggest goods to other users (Hutagalung, Dalimunthe,
Pambudi, Hutagalung4 & Muda, 2017). Due to the considerable
expansion, the social media environment has undergone a significant
change in people's ability to communicate and share information.
Instagram is the subject of this investigation (social media). Instagram is
a smartphone programme that forces users to take pictures with their
phones, turn them into images, and share them on Instagram throughout
the day (Treitel, 2020). Additionally, such pictures can be posted on other
social media websites like Facebook, Twitter, Tumblr, and foursquare.
Instagram is been identified as the fastest-rising global network site,
according to Ershad and Aghajani (2017). More than 400 million people
use it each month, and 80 million photographs are shared with daily likes
of 3.5 million (Hawi & Samaha, 2016). According to Treitel (2020), as
Instagram becomes more and more prominent in people's daily lives, it
may have unfavourable psychological repercussions. People now devote
a large period of time on social media sites like Instagram.
With the help of defining clear goals and objectives, the big goal of social
media marketing is to help organizations for maximizing their strategies
7
leading extremely high returns on investments (ROI). The 1990s saw the
creation of numerous social networking websites, including BlackPlanet,
Asian Avenue, and Move On, among others. Other blogging platforms
like Blogger and Opinions have also been developed. With the launch of
so many social networking sites by the year's end, social media marketing
will experience a significant uptick. Among those launched were
Wikipedia, Cyworld, and LunarStorm. Websites like MySpace, LinkedIn,
Tribe.net, Facebook, Yahoo, and YouTube were also developed
beginning in 2002. (Junco et al, 2011).
Sou
urce: Kim Swisher
S Com
mmunicatio
ons, LLC. (2
2021)
Fig. Number
N off Monthly Active
A userrs of Selecteed
Soccial Media Platforms
1.4 Ev
volution
n of Social Me
edia
Bennett (2014)
( claims thatt in 1969
9, Compu
uServe waas the firrst big
commerciial Interneet service provider in the nattion. Usingg what waas then
15
known as dial-up technology, it controlled the market during the 1980s
and remained a dominant player into the middle of the 1990s. In 1971,
the first email was sent after that. The bulletin board system (BBS),
which was introduced in 1978, was used to invite people to events,
publish notifications, and exchange information. It was the embryonic
stage of a tiny online community.
1.5 So
ocial Media
M Definitio
on
Boyd 200
07, Social media, in accordance with itss definitioon, is a "um
mbrella
term that refers to the collecction of to
ools, serviices, and aapplicatio
ons that
are relateed to peop
ple's abilitty to com
mmunicate with eacch other through
network technology
t y." Grouppware, onlline comm
munities, ppeer-to-peeer and
media-shaaring tech
hnologies, as well ass networkeed games,, are all in
ncluded
in social media.
m Social mediaa genres innclude insstant messsaging, blo
ogging,
microblog
gging, fo
orums, em
mails, virrtual worrlds, textiing, and social
networkin
ng sites.
According
g to Evan
ns (2008)), "Sociall media has
h changged peoplee from
content consumerrs to conntent maakers, maaking infformation more
accessiblee. It is thee switch fr
from a maany-to-man
ny paradiggm that depends
d
on interacctions betw
ween writters, peoplle, and peeers to a brroadcast method.
m
Social meedia conneects inform
mation in a collaborrative wayy by utilizzing the
18
"wisdom of crowds." Social media can also exist in a wide variety of
other formats in addition to forums, message boards, wikis, weblogs,
podcasts, photographs, and videos on the internet. Instead of claiming
that "Social websites are those websites that allow people to build online
communities and share user-created materials," Kim et al. (2009) (UCC).
Safko (2010) defines “the idea of "social" as the need for people to
interact with one another and "media" as the means by which such
connections are made. Despite the fact that humans have interacted and
used many marketing strategies Social media has historically been more
effective since it allows for two-way conversation.
Social media has been described as "A phrase that is used to define a sort
of media which is built on discourse and interaction amongst persons
online" by Strauss and Frost (2011, p328) (Definitions). In social media,
content is developed as a discussion between users who can publish,
19
debate, modify,
m an
nd rate eaach other'ss content. This is a key diffference
between social
s med
dia and traaditional media.
m
1.6 So
ocial Media
M Cllassification
Given thaat the worrd "sociall media" is
i broad and
a includdes onlinee tools,
platforms, and hyb
brid mediia that peermit peo
ople to shhare know
wledge,
ideas, and
d experieences for both worrk and plleasure (H
Hajli, 2014). An
overview of the soccial mediaa is presen
nted in gig.
Fig. Cla
assification of Social Media
M (Sourrce: Solis, 22012)
20
Due to its obvious benefits in the corporate sector, social media, which
was originally used as a kind of amusement, has now changed into the
newest marketing strategy. Because social media offers many benefits for
time, audience, relationships, and cost difficulties, it is widely employed.
Businesses must carefully analyze their operations and goals before using
the best social media tool for each of their objectives. (Karahan and
Kirtis, 2011)
Chi (2011) "A connection between brands and customers, Social media
marketing is defined as "Offering a personal route and currency for user-
centered networking and social interaction."
Social m
media marketing
m includes maintaiining coonnectionss with
customerss, both currrent and future, as well as making
m new
ew ones. In
n order
to increasse web traaffic, brandd awareneess, and co
ompany ppopularity, social
media marketing
m focuses on con
ntent gen
neration, communiication,
outreach, and referrral throughh actions like blogg
ging and uuploading how-to
videos an
nd product photos onn social media
m platfforms. (20012) Kim and
a Ko
According
g to Hutteer et al. (22013), Faccebook sittes have a positive impact
on consu
umers' brand reccognition, participaation in word-of-
f-mouth
marketing
g, and purcchasing haabits.
Increased
d traffic and
a visibiility are social meedia markketing's to
op two
benefits, according
g to a 20016 induustry reseaarch on tthe subjeect. An
impressiv
ve 89% off marketeers overalll said thaat using ssocial med
dia has
improved
d their braand's visiibility. More
M traffic was thhe second major
benefit, an
nd 75% off respondeents said thhis was su
uccessful.
23
1.8.1 Facebook
F k
Connection and relationships between individuals are two key goals for
which social media platforms have been created. According to
Thumsamisorn and Rittippant (2011), there are more opportunities for
customers to participate with the utility and sharing of their experiences
via a source like Facebook because of the two-dimensional quality
relationship that influences user happiness and behavioral intention.
1.8.2. Twitter
Jawed Karim launched YouTube in 2005. With its partner features, video
creators have the chance to make money. Small businesses have
numerous opportunities to advertise their brands on YouTube. Several
prosperous merchants use YouTube as part of their main marketing plan
to present their goods and services to potential customers. There are
numerous ways to promote their products through this channel, including
seminars and videos. The Nation (2015)
1.8.4 Pinterest
Pinterest was started in March 2010 by Ben Silbermann and Paul Sciarra.
According to Z. Wilkinson (2016), it's a video and photo sharing website
in addition to being a site for bookmarking. The total number of users is
11.7 million. Marketers are drawn to feature their brands on this social
media platform by Pinterest's descriptive data. It has gained popularity
over time, coming in third place behind Twitter and Facebook. (2012)
Spitznagel (2013) One of the fastest-growing digital sites since its 2009
debut, Pinterest. Users adore its visually appealing design, carefully
selected boards, and user-friendly mobile app. Because people utilise it so
frequently to learn about new ideas and products, marketing has a lot of
potential. Gilbreath (2014).
Sevitt and Samuel (2013) claim that Pinterest is assisting in the reversal
of the "show rooming" trend, or the rising usage of brick and mortar
stores as showrooms for online purchases. These academics point out that
21% of Pinterest users made in-store purchases after exploring the site.
Many marketers, retailers, and online merchants have created profiles on
Pinterest as a result of these descriptions.
1.8.5 Blogs
If the content is strong and the blog is tailored to the demands of the
audience, business blogs are considered to be excellent marketing tools.
Since recent data indicates that marketers are going to boost blogging in
their marketing operations in the near future, marketers have also taken
notice of the potential of blogs. (2014) Stelzner
1.8.6 Google+
1.8.7 LinkedIn
In his article about LinkedIn from 2012, Qualman claimed that the
platform "should monopolize this market for many years to come" and
that it "provides more direct and informative interactions between the
employer and prospective employee" (p. 178).
According
g to Alboq
qami et all(2015) .'s study, "having a suubstantial impact
on eWOM
M adoption
n are beinng doing en
ntertainmeent, doingg interactio
on with
consumerrs, direct customeer respon
nses, and celebratiion of national
n
holidays. Customerrs, in partticular, prrefer to paarticipate more in eWOM
e
when a bu
usiness reesponds too them dirrectly on Twitter.
T G
Given thatt it was
directed by
b both th
he retweet and like models,
m th
his appearrs to be a crucial
factor in a customerr's particippation in eWOM.
e
According
g to Wan
ng et al. ((2012), both a direect and inndirect efffect of
eWOM via
v social media
m on conformitty was thee consoliddation of product
p
involvement. Which both hadd a good impact
i on their buyiing intentiions.
Since the advent off social meedia, peopple have begun corrresponding
g under
their own
n names. "eWOM sttill occurss among an
nonymouss people through
online ev
valuations,," wrote E
Erkan (20
014), " Ho
owever, ssocial med
dia has
brought with
w it a novel,
n groound-breaaking view
wpoint beecause it permits
p
eWOM to
o happen among
a acqquaintancees, according to the author.
Diversification of WOM
Consumers now had a great way for connect with the social networks and
express their thoughts and experiences with goods and services. (2014)
Moran and Muzellec Social media platforms are viewed as the most
suitable medium for eWOM because of this (Kim et al., 2014). Users
frequently use these social media sites to learn about other companies and
products, according to Barreda et al. (2015). Additionally, users
increasingly frequently utilize nick names on social networking sites,
which also eliminates the need for anonymity. This vital social media
function transfers the experience of distributing offline WOM to the
Internet. Communicating thus, eWOM shared on social media platforms
may have a greater impact on customers' purchase intentions than eWOM
shared on other platforms.
The two-way symmetrical model, last but not least, aims to use
communication to alter the behavior and attitudes of the organization and
the Public in a way that is advantageous to both. The two-way
symmetrical model is generally thought to be the best of these four. The
ideal relationship between a corporation and its public is typically
considered as one that establishes two-way communication that benefits
both the customer and the organization.
The idea that people interact with media in ways that suit their particular
requirements forms the basis of the uses and gratifications theory.
Gurevitch, Blumler, and Katz (1973) the key finding of this study was
that it made the case that individuals use media to engage with one
another. It claimed that people use mass media with goals in mind and
relate their media preferences to meeting needs. According to the early
36
uses and gratifications research, people deliberately consume traditional
mass media (newspapers, radio, and television) to satisfy specific needs.
From the explanation above, it is evident that the Uses and Gluttony
model proposes that people use new media, which is dominated by
Facebook, to satisfy their social, informational, and entertainment
demands (interaction, word-of-mouth and Trend needs).
The 1.3 trillion dollar fashion industry, a huge economic force and
significant contributor to global GDP, employing more than 300 million
of population across the world. Major worldwide brands dominate the
market, where this industry competes in a competitive manner. The
fashion industry has been recently experienced remarkable growth and
major improvements despite of the terrible financial crisis of the previous
10 years. The fashion business is currently doing its operations in a
highly competitive world and marked by rapid transitions and increased
unpredictability, according to market research undertaken by some of the
top global consulting organizations (McKinsey, Deloitte Group, BCG). A
big Thanks to developments in the medical segment and other reasons, in
the fashion industry that business today has the opportunity to provide
services to both the young and old generations simultaneously. Due to
this aspect, both business tactics and marketing techniques must be
diversified in order to meet the wants of both millennial and retired
consumers. The primary factors that are causing uncertainty are
geopolitical and economic volatility, which have hurt the market since the
2008 financial and economic crisis. The industry is anticipated to grow
more slowly in developed markets and flatten out in emerging nations in
2019, according to data from the World Bank, the International Monetary
Fund (IMF), and the Organization for Economic Co-operation and
Development (OECD). These are the areas that are mostly affected by
this tendency are those in Europe, the Middle East, and Latin America.
As a result of growing economic instability and political unrest,
consumers are spending less on fashion products, but demand for
41
discounted, personalized clothes is expected to rise in the coming years.
Along with political upheaval, recent years have been troubled by
terrorist attacks, natural disasters, and new illnesses. These incidents have
serious repercussions for businesses and the communities where they are
headquartered in addition to the bad effects they have on the people they
directly affect.
Quick fashion Greater competitive pressures are there, and the demand
for new collections is still rising globally. A new behavior known as "see
now—buy now" has been adopted by customers as a result of collections
changing about every three weeks. Not only are collections and new
fashion goods introduced to the market seasonally, but also more often
throughout the year. At the end of 1989, when Zara opened a store in
New York, The New York Times first used the term "quick fashion."
According to this source, it takes a Zara garment 15 days to get by the
mind of a stylist to the actual sale of the product in a store. Everyone can
now dress in accordance with the newest trends thanks to the economic
45
phenomena known as fast fashion. The majority of people now consider it
normal to spend little to dress stylishly and differently, which is what
fuels the popularity of the "fast fashion" trend, which is quickly taking
over every sector. Customers enjoy seeing new variety of products every
week or month in their favorite retailers, and as a result, the demand for
new fashion collections has increased over a shorter period of time. On
the other side, this technique has put more pressure and strain on
designers' However, from a production standpoint, the production
rhythms placed on enterprises that follow this trend can only be sustained
by delocalizing the production to regions with cheap labor costs, where it
is simple to abuse workers.
Influencers and social media are important. One of the latest trends in the
growth of e-commerce is the use of social media to encourage social
interactions and user-contributed sales and purchases of online goods and
services. Since the phenomenon is just starting to spread, its full potential
has yet to be identified and examined. Since social media is becoming so
widespread in past few years, businesses may now create a real social
media strategy to take advantage of the immense potential that these
channels offer. Examples of social media include Facebook, Twitter,
YouTube, blogs, wikis, and many other social platforms. Additionally,
despite the fact that the fashion and traditional clothes sectors are seeing
constant reductions during this economic downturn, the fashion and
online apparel sectors have experienced the greatest growth in terms of e-
commerce sales. Companies no longer view a multichannel approach as a
straightforward way to increase sales, but rather as a beneficial
instrument for managing the connection with the client by providing as
many options as possible to assist them in their purchase. Multichannel is
a growingly complex phenomena that involves the client at home and in
all of its activities across several platforms. In the post-sale phase, social
networks have a strategic role, even if search engines perform a specific
role in the information search. Because customers view influencers'
lifestyles as more attractive and authentic than traditional marketing in
47
the social media age, the influencer position in the fashion business is
expanding. Because they are not models and are not required to
participate in campaigns, influencers are seen as being closer to the
general public because they wear what they like and what fits well on
their bodies and display their wardrobes during regular days in regular
situations. This crucial decision does not only consider the number of
followers, but more importantly, the basic capacity to interact with their
audience (customer engagement) by asking them to submit comments,
likes, and thoughts, as well as the ease with which they may quickly
increase their following. Strong brands that can compete successfully in
the market today all exhibit rapid brand growth, social media impact, and
distribution focused on e-commerce.
The rise of social media and the changes in alternatives have had a
substantial impact on the buying behavior model, which covers the
traditional manner of purchasing products. Social media has given them
the ability to do even more in-depth assessments of companies and share
their personal insights and opinions with other users, potentially leading
to a viral marketing impact that might reach thousands of users with only
a few mouse clicks.
Brand equity was defined as "the extra value with which a certain brand
endows a product" by Farquhar's in 1998. (p. 24). Three potential sources
offer value to this as well. The first is the cognitive psychology approach,
which explains how customers react differently to a business's marketing
mix depending on how they view and identify a brand (i.e. Aaker, 1991;
Keller, 1993; Anderson, 2007). The higher utility that a brand name
confers on a product is explained by the information economics
50
perspective, which comes in second (i.e. Wernerfelt, 1988; Erdem and
Swait, 1998). The third point of view is that of the financial markets,
which characterizes the source of added value or equity of a brand as a
monetary value equal to the market value of the company less the value
of its tangible assets (Simon and Sullivan, 1993). Worker-based brand
equity (EBBE), as described by King and Grace (2009: 130), "the
differential influence that brand knowledge demonstrates great attention
on employee's responses within their work place," is a fourth aspect of
added value or equity that has more recently been put forth. This fourth
factor is interesting as many of the ‘strong brands’ that are dwelling today
such as goods and services through an important service component, by
which such an industry’s employees were held critical in the process of
delivery of the brand experience. Aaker (1991) and Keller (1993) had
created the fundamental and most important ideas out of all brand equity
notions. The four elements of brand equity that Aaker has considered are
perceived quality, brand associations, brand awareness, and brand loyalty.
Finally, the meaning of perceived quality means the relation towards the
customer judgment of a certain goods or services Zeithaml, 1988).
Therefore, businesses have been suggested to mainly focus on the real
based quality of particular brands and also to create a great chain of
information towards network of communication with that quality in order
to positively influence perceived quality through their marketing
activities in consumer-based brand equity. Higher perceived quality
among consumers to persuade them to buy the brand in order to
52
differentiaate the braand in ordder for bu
usinesses to charge a premium
m price
and then move
m forw
ward with the brand
d (Aaker, 1991).
1
In order to
t thoroug
ghly illustrrate the toopic, let's use an exxample. Suppose
you asked
d anyone to name the top first
fi three fast foodd restauran
nts that
sprang to
o mind. Th
hey wouldd then meention thee 'top of m
mind' bran
nds for
those bussinesses. Contrarily,
C , brand im
mage is made
m up off all perceeptions
for a bran
nd that are mirrored by brand connectio
ons that coonsumers have
h in
their mind
ds conneccted to quualities, ad
dvantages,, and attitu
tudes. Theerefore,
the goal iss to forge in consum
mers' thoughts distin
nct, powerrful, and positive
p
connectio
ons that boost the bbrand's reeputation. The markketing mix
x tools
can regulate some of these rrelationships. Sincee many brrand assocciations
depend on
o factors outside oof a comp
pany's control, succh as third
d-party
brand info
ormation, word-of-m
mouth, co
onsumer in
nteractionss directly related
to the brand,
b an
nd consum
mers' ideentification
n of a brand with
w an
organizatiion, nation
n, place, eevent, or person
p thatt is not neccessarily the
t one
intended by the co
ompany, ccomplete control
c ov
ver a brannd's imagee is not
possible.
Fig. How
w Brand Equity
E is formed
f
53
The most precious assets of any company are their "brands" and
"customers," hence brands should be nicely handled as valuable, long-
term business assets that could generate returns in the future. Brand
management is crucial because, from a customer's perspective, it can
differentiate a company and contribute to its success. According to the
AMA, brand equity is "based on customer views about good brand
features and favorable repercussions of brand use" from the point of view
of the consumer. As a result, developing a positive and favorable attitude
toward a brand is crucial, and this is why extensive study has been done
in this area. Brand equity was a crucial notion for managers to understand
up to the end of the 1980s, but David Aaker defined and examined it in
his 1991 book Managing Brand Equity. The book offers several
suggestions for managing brand productivity and was designed with the
intention of assisting managers in understanding the value of creating
great brand equity. After that, numerous researchers studied the idea and
highlighted various points of view regarding the term "Brand Equity," but
there was one fundamental idea that they all shared: "Brand equity is the
"added value" given to a good or service as a result of prior investments
in the marketing for the brand." Building and maintaining great brand
equity is essential in today's competitive environment because it
influences customer preference and boosts buy intentions (Cobb-Walgren
et al., 1995). According to financial studies (Srivastava and Shocker,
1991; Aaker and Jacobson, 1994), market power (Farquhar, 1989; Wood,
2000), the development of sustainable competitive advantages
(Bharadwaj et al., 1993), brand extension (Keller and Aaker, 1992), and
consumers' willingness to pay higher prices, higher brand equity results in
higher profit with share returns (Keller, 1993; Anselmsson et al., 2007).
Brand equity, according to Lemon et al. (2001), aids in bringing in new
54
clients, serves as a reminder to clients of the company's goods and
services, and fosters a strong emotional bond between clients and the
business.
(A) Loyalty
This asset has to do with what clients anticipate from the goods or
services that are being provided to them. Literature emphasizes the
significant influence where perceived quality may have on a brand's
equity because high levels of perceived quality increase brand preference
and hence increase brand equity. Consumers judge the product's quality
by using branding components like the company name, logo, packaging,
commercials, and other brand identities, you may help consumers form
favorable perceptions of your product or service. (Kirmani and Rao,
2010). Two metrics have been proposed by Aaker (1996) to assess
perceived quality: Perceived Quality and Leadership/Popularity
58
Due to its applicability across all product classes, perceived quality
is a variable that is extremely relevant for assessing brand equity. It
can be assessed by contrasting it with competing brands in terms of
their packaging, advertising, consistency, and other factors. The
issue with this measure was that respondents were expected to
provide a frame of reference for brand comparisons, which could
complicate the analysis. In addition, there would be differences in
the perceptions of quality among devoted patrons, switchers, and
patrons of other brands.
Influence/popularity a metric that takes into account factors like the
product or service's level of innovation within its category, client
acceptance, and usage popularity. The main problem with the
measure is this, although it is represented in market size, popularity,
and innovation, it had not undergone the same level of thorough
investigation as many other dimensions.
Market Behavior
Kevin Lane Keller (1993) in his book The Keller's Brand Equity Model,
also known as the Customer-Based Brand Equity (CBBE) Model, was
61
created by
b the fieeld of "strrategic brrand management."" Kenneth
h Lane
From thee viewpoin
nt of the consumer, Keller has thougght aboutt brand
equity, which,
w in his wordds, is "thhe differeential influ
luence off brand
knowledg
ge on con
nsumer re sponse too the mark
keting off the bran
nd." He
asserts th
hat it is crucial
c to compreheend customer persppective—tthat is,
how custo
omers feeel and thinnk about our
o produ
uct—in ordder to dev
velop a
strong brrand equitty. Long-tterm favo
orable word-of-mouuth and devoted
d
customerss can resu
ult from sttrong brannd equity. Keller tak
akes into account
a
brand equ
uity by examining thhe feedbaack custom
mers proviide regard
ding the
marketing
g strategy of a speciific brand. He believ
ves that thhere are fo
our key
steps that must be taken
t in oorder to deevelop a strong brannd equity,, which
are furtheer broken
n down innto six brand-buil
b ding com
mponents. (Refer
Figure 2.3
3).
Fig
g. Customeer-Based Brrand Equity Pyramidd
Source: Keller,
K K. L. (2001). Buuilding custtomer-based
d brand equuity: a bluep
print for
creating strrong brands (pp. 68-72)). Cambridg
ge, MA: Maarketing Sciience Institu
ute.
(A) Bran
nd Identiity: Bran
nd Salien
nce
The abilitty to recalll and recoognize thee brand iss a factor tthat is rellated to
raising cu
ustomer aw
wareness. Linking a brand by
y componeents may be as a
name, log
go, taglinee, jingle, eetc. is anotther aspecct of brandd awareness. The
62
customer's ability to distinguish the product from rivals and knowledge of
the product category in which it competes should be ensured. Because it
can aid consumers in developing positive associations, category
identification, and, in the case of less involvement in products, brand
inclusion in consideration sets, he views salience as an influential
element.
Brand identity dimensions: The depth and breadth of the product are the
two phrases that can be used to gauge brand awareness.
Only when the customer forms a strong, positive, and distinctive link
with the brand does brand meaning increase brand equity.
In their approach, David Aaker and Kevin Lane Keller offer suggestions
for how to increase brand equity. The concept of brand equity was
tackled by Aaker (1991, 1996, Aaker & Joachimsthaler 2000) from the
standpoint of managerial & corporate strategy with a component of
consumer behavior (Moisescu, O. I., 2005). He has provided a general
road map for creating a strong, service- or product-specific brand equity.
Although Keller (1993, 1998) has examined brand equity from the
standpoint of consumers and the varying implications that brand
knowledge can have on consumer reactions (Moisescu, O. I., 2005). By
identifying and describing customer-based brand equity assessment
techniques and pushing managers to think more strategically about brand
equity, he has advanced the study of Aaker. His method is highly
67
detailed, and he has already described four phases for creating a powerful
brand. Only one dimension from Keller's model, "Brand Loyalty," has
been left unaffected by this severe intersection (Taleghani, M., & Almasi,
M. 2011). Despite the fact that the two researchers' theoretical
frameworks differed, they shared the fundamental belief that brand equity
refers to the "added value" that prior expenditures in brand-building
efforts have given to a product or service. All of the studies done on the
subject had one thing in common: they all used one or more of Aaker's
Model's dimensions. Aaker's (1991, 1993) and Keller's (1993, 2001) are
also shown to be the most special in a practical situation.
Up until the 1990s, there wasn't much consensus at the subject of ‘Brand
equity,’ but after that may quickly gained popularity among academics &
managers. In the past, the terms "brand" and "branding" were inter-
changeable terms for a tag that served as a means of product identifica-
tion or differentiation in a cutthroat market. Practitioners eventually came
to understand that benefits may be obtained for a longer length of time by
building a strong brand. If properly cared for, "brand" is an asset with the
potential to produce a revenue stream. The researchers decided to
concentrate on building equity because of the financial advantages of
having a strong brand. There are many studies that have discovered
different dimensions for evaluating brand equity, as was stated earlier in
the chapter, but the Aaker's model investigates brand equity from both the
standpoint of customers and marketers, therefore in this, his re-
commended dimensions have been employed as key variables in studies.
Brand Loyalty
Brand awareness
Perceived Quality
68
Braand Assocciation
Braand Person
nality
Brand Loyalty
L
Customerr brand lo
oyalty is nnecessary to develo
op a stronng brand equity.
Loyal con
nsumers help
h a bussiness get a compettitive edgee in the market-
m
place, wh
hich boostss its financcial returnns. The concept of bbrand loyaalty can
be seen from a variety oof perspeectives, in
ncluding behavioral and
attitudinal ones. Brrand equityy is greatlly influencced by loyyalty, whicch is at
the core of equity
y. Follow
wing is a list of professionaals' opinio
ons on
loyalty.
Source: Aaker,
A David
d A (1991),, Managingg Brand Equ
uity: Capitaalizing on th
he value
off a Brand Name, The F
Free Press, New
N York: 40
4
The fourth level symbolizes the loyal, emotionally invested clients who
have been using the brand for a considerable amount of time. The third
type consists of happy customers who might transfer brands if
competitors offered them incentives. Second-level customers are those
who are satisfied and have no level of dissatisfaction, yet if the
competition has something new to give, they can adjust their preferences.
The first level of consumers consists of non-loyal and utterly uninterested
consumers. The purpose of the study is to ascertain respondents'
propensity to repurchase the same brand. Additionally, it aims to pinpoint
their cell phone category switching activity.
Brand Awareness
Perceived Quality
Brand Personality
Source: htttp://www.vaanhaaften.nnl/index.php
p?option=co
om_content&&view=artiicle&id
=778%3Abran ndpersonalitty catid=48%3Amerkb beleid&Item
mid=70&lan
ng=nl
Fig. Brand p
personality (Aaker J., 1997:354)
The stren
ngth of a brand's ppersonality depends on the sustainab
bility it
inherits from
f interractions w
with its environment. Com
mpetitors have
h a
difficult time
t repliccating braand identitty. The platform pro
rovided by
y brand
72
personality allows for the exploitation of brand identity, brand
communication, and even the establishment of the fundamental principles
for marketing initiatives. Finding the parameters or dimensions that are
most pertinent to the mobile phone category is the goal of this study.
Chapter-2
Review of Literature
2.1 Chapter Overview
2.2 Social Media Marketing and Its Features
2.3 Development in the Fashion Industry
Using Social Media
2.4 Current trends in the Fashion Industry
through Social Media Marketing to
Increase Brand Equity
Chapter-2
Review of Literature
2.1 Chapter Overview
The literature review is primarily divided into three categories. The first
section is a review of the literature that identifies the theoretical
underpinnings of the study, examines the literature of earlier research
projects, and also discusses earlier studies that have been conducted in
relation to the main study variables. The second section talks about earlier
studies in the fashion industry. The third part identifies areas for future
research. The review of the literature serves as the foundation for
developing the research question and study's conceptual framework.
Therefore, the following are the research questions: how can social media
contribute significantly to branding, what considerations should be made
when selecting social media for branding, and how does social media
compare to traditional media in terms of its impact on brand image?
74
Due to a continuous change brought on by new media outlets like the
internet and social media, branding and marketing are becoming a widely
distributed field. As a result, social media marketing strategies are
evolving as communication becomes more consumer-focused and
multidirectional. The prospects offered by social media for branding are
examined in this thesis. One of its aims is to provide an answer to the
topic of how businesses may use social media to establish a brand and
what factors to take into account when doing so.
It has long been observed that the marketer's primary attentions are on
image creation and branding. The phrase "social media marketing" refers
to this idea. Therefore, the primary goal of the study is to investigate how
social media marketing affects product brand equity. As a consequence,
social media marketing had a massive effects on increasing customer
brand awareness and enhancing the reputation of the product. The
businesses should focus on relevancy elements for this. It indicates that
they should keep themselves current with the changing tastes and
preferences of their esteemed clients. They need to gather data and
evidence for this.
Social media is not only used in homes, small businesses, and corporate
bedrooms; it has also made its way into the fields of education and health.
Exponentially, the likelihood is rising.
Social media users have also developed a strong drive for the digital
environment. According to Nielsen's (2011) State of the Media: Social
Media, online shopping accounts for 70% of social media users' time
(Nielsen, 2011). With this situation, customers may purchase online
whenever they want, from anyplace, just like they would while using a
computer or a cell phone. Therefore, social media marketing provides a
number of benefits for both consumers and marketers, but it also has
drawbacks for both. Due to how simple and easy it is to browse, there are
also many risks and opportunities for fraud, including cybercrime. It
occurs as a result of inadequate oversight and regulation. Let's talk more
specifically about the benefits and drawbacks of social media marketing
in a brief chat.
2.2.1 Advantages
2.2.2 Disadvantages
In order to lower the risk involved, shoppers frequently check online and
read reviews from other customers before making a purchase, according
88
to Mir and Zaheer (2012). More significantly, even if they do not
personally know them, customers will see the content created on social
networking sites as authoritative. Internet consumers see information
shared through the web as having greater credibility than information
shared through traditional media channels. This perception extends to
user-generated content, such as posts on social media, blogs, wikis, and
forums.
Bilgihan Anil (2016) discussed this fact in its study that “there is the vital
impact of trust in customer loyalty in online shopping. For young clients,
trust is the key factor in e-loyalty. They continue to support the brands
they believe in information.
Funde and Mehta (2014) state that a sizable portion of internet users have
looked online for information related to purchases. The two main factors
influencing information search are the ease of searching and users'
perceptions of search engines as successful platforms. Social media is
regarded as a reliable source of information as well.
Brand Equity
If we con
nsider how
w internet platformss have con
ntributed tto the gro
owth of
the fashiion busin
ness in Inndia acrooss variou
us demoggraphic regions.
"Fashion is not som
mething thhat exists simply
s in clothes," iit states. Fashion
F
is everyw
where—in the sky, on the street—an
s nd it has to do wiith our
beliefs, our
o way of
o life, annd the cuurrent events. Conssumers caan now
choose frrom a wid
de range oof fashion products on the Innternet and
d share
their exp
periences with othher shoppers by rating thhe produ
ucts or
recommen
nding them
m to friennds, familyy, or otherr individuaals in theirr social
circle. With
W the aiid of Webb technollogy, inclu
uding conncepts lik
ke viral
marketing
g, buzz maarketing, ttribal mark
keting, an
nd social m
media marrketing,
the fashio
on industry
y is advanncing its branding
b and
a markeeting appro
oaches.
Social meedia sites like Faccebook, Twitter,
T an
nd YouTuube are used
u by
businessees to sell their
t prodducts to coonsumers by fosteriing relatio
onships
and exchaanging opinions aboout their brands
b thro
ough mem
mber engag
gement
and interaaction. Th
he ability oof social media
m for marketingg is proviided by
buttons liike "sharee" or "likee" on Facebook, wh
hich are aaccessiblee to the
billions off users on social meedia.
94
And in order to create positive brand value for a fashion product in India,
it is important to consider consumer loyalty to the brand and how they
perceive the products as providing value for money, which enables them
to spread good word of mouth by sharing the product, providing positive
95
feedback, or commenting on the quality of the product the brand has
provided on social media platforms. Increased public knowledge of the
company's social commitment results from online brand equity. Online
brand channels also significantly affect a company's relationship capital.
The quantity and quality of a company's ties with its customers (such as
the calibre of services) and the company's reputation make up a
substantial portion of its relational capital. Taking into account all of
these elements is the reason why online brand equity has a significant
impact on the improvement or decline of the company's relational capital.
Numerous research have looked into how social media marketing affects
brand equity (Naveed, 2012). These studies show that social media, as
opposed to traditional media, which emphasizes brand knowledge, has an
impact on a company's brand image. In addition, research has shown that
social media, as a component of the communication mix, significantly
affects brand equity (Godey et al., 2016). Based on Keller's brand equity
96
components, the brand equity in this study has been measured. In light of
this, brand awareness and brand image have been taken into account. The
researchers welcome future studies to include include the other brand
equity components. This study incorporates brand equity, which is
determined by brand awareness, perceived quality, brand associations,
and brand loyalty, in response to the research question.
Let's examine the second-largest retail sale sector in India, the garment
market. There was a period when international retailers' access to the
Indian market was limited. Due to their exorbitant prices and limited
availability, only members of the wealthy and elite classes could purchase
international brands (Batra et al., 2000). However, as a result of India's
post-economic liberalization in 1991, global clothing firms were able to
enter the Indian apparel market with ease. International brands have since
joined the Indian domestic market and are now in competition with local
brands. (Field, 005).
India's fashion business is one of the most prosperous and vibrant in the
world, contributing 2% of global GDP and 3 trillion dollars in annual
revenue (Fashion United Group, 2017). The largest sector of India's
fashion clothing and non-apparel manufacturing market, the apparel
industry accounts for 66.3% of the market's overall value. India produces
around 15.7% of the clothes and non-apparel sold in the Asia-Pacific
region. In 2011, India's market for producing clothing and non-clothing
increased by 14.4% and was worth $62.4 billion. By 2016, this market
value is anticipated to expand by 108.7% to $130.2 billion (Market Line,
2012). India has a growing middle class that is financially successful and
acquires high-end imported items (Bharadwaj et al., 2005). According to
97
Kottak (2009), this purchasing behavior can be related to the consumers'
disparate economic statuses and their perception of branded clothing as a
sign of social standing.
Ideally, consumers choose products and brands that offer both emotional
(such as the show of status, money, and prestige) and practical (such as
high quality and low price) benefits (Batra et al., 2000). When purchasing
international goods, consumers in developing nations consider they are
displaying their increased socioeconomic standing and riches. They
experience joy, happiness, and satisfaction as a result of doing so. (Batra
et al., 2000; Bhat and Reddy, 1998; Kinra, 2006). Indian customers
believe that global brands are of higher quality than domestic brands
(Kinra, 2006). Consumers in developing nations are persuaded to buy
these international products because they are fascinated by Western
culture (Batra et al., 2000; Kinra, 2006). When buying a product or brand,
Indian buyers in particular prioritise emotional traits over functional ones
(Sinha, 2003). According to Kumar et al. (2009), whether a brand is
domestic or foreign, Indian consumers' purchase intentions are heavily
influenced by emotional benefits. As a result, we can conclude that
today's fashion firms are in fiercer rivalry with one another. With so
many options available to consumers, brand success doesn't seem to be a
given.
The hottest trend in the fashion industry is social media, if we are talking
about its impact on the fashion industry. Depending on how customers
view a brand's goods on social media, it could succeed or fail. Like, the
rise and fall of every particular brand depends on the feedback, opinions,
followers, and comments of the public on social media platforms. Since
the fashion industry is one that constantly introduces new trends into its
98
assortment of apparel lines. Appears to be assured. Therefore, if a product
is meeting consumer expectations and gaining a competitive edge over
other brands in the market, it will be at the top of its product life cycle
and contribute to the development of a positive brand image. However, if
a product is not meeting consumer demands or if a company's marketing
strategies are not taking into account market demands, it may also
experience a decline and receive negative feedback on social media.
Around 98 percent of Indians spend more time online buying, and 96
percent spend more time on Facebook and Twitter than on other social
networking sites.
The value of the Indian retail market was Rs 41,66,500 crore (US $641
billion) in 2016 and is projected to increase at 10% CAGR to reach Rs
1,02,50,500 crore (US $1,576 billion) by 2026. The present fashion retail
market, valued at Rs 2,97,091 crore (US $46 billion), is predicted to rise
at a promising CAGR of 9.7% to reach Rs 7,48,398 crore (US $115
billion) by 2026, with social media playing a significant role in
establishing brand equity.
Additionally, when driven through Pinterest rather than any other social
media network, consumers are 10% more likely to make a purchase from
an e-commerce website.
Parallel to how Snapchat works, people produce their own fashion video
content. Snapchat stories are frequently utilized to give viewers insider
access to designers' studios and events (like Fashion Week). More than
any other platform, Snap chat allows users to experience a casual, one-
on-one interaction with a fashion expert or area of the fashion business.
Huge fashion influencers and designers like Manish Malhotra and many
others can be followed and subscribed to.
Research Methodology
3.1 Data Collection
3.2 Data Analysis
3.3 Hypothesis Analysis
3.4 Conceptual Framework
3.5 Results and Analysis
3.6 Multiple Regression Analysis—MLR
3.7 Relation between Parameters
3.8 Multiple Linear Regression Model
3.9 Hypothesis Testing
Chapter-3
Research Methodology
3.1 Data Collection
Primary data is collected with the help of the questionnaire survey,
designed to get the views from different set of groups of people. Data is
collected in a way get the better views of people about shopping and the
usage of online social media apps. Data is collected from the people of
different Gender, Age, occupations and their opinions about the use of
mobile applications to ease their shopping experience, especially related
to purchasing any clothes or accessories to himself or to someone else in
Noida. Data is collected in more structured to capture all the key
information that is required to support the Research and to validate our
hypothesis.
The primary object of the designing of the questionnaire is to get the all
relevant inputs from the customers relevant to the research. So, the
primary data collection was done keeping all the relevant parameters in
mind that will be helpful for evaluation our hypothesis and finally leads
to the objective of the research work. With the total of 42 questions, the
aim is get the customer opinion about the social media marketing and
using that how the fashion word is building their brand equity. Three
sections make up the questionnaire. The following table shows a full
explanation of the questions' objectives and the design principles that
were employed.
No. Concept Question Purpose
1. Demographic Name of Respondent Describing the
Information demographic
Email
characteristic of the
Gender sample population
Age Group Income
104
4. In- In-formativeness
formativeness
How much do you agree
that social media helps in
acquiring information about
fashion trends?
5. Trust Trust
How often do you buy
products that you see on
these sites?
I believe on buying branded
clothes.
6. Purchasing I am likely to purchase a
Decision product recommended on
social media’s
I intend to make a purchase
after searching product
information in social sites.
I intend to purchase the
product of this brand in the
future.
I intend to use social media
while making a purchase
decision.
If another brand is not
different from brand in any
way, it seems smarter to
purchase this brand
Social media affects my
choice of product.
7. Content Do you follow fashion
Sharing related blogs?
Have you noticed fashion
apparel advertisement on
social media?
I refer to Social media
whenever I want to buy any
clothes.
Social Sites helps me in
making my decision
towards buying any fashion
apparels.
106
Brand Equity
9. Brand I am able to distinguish between various
Awareness fashions brands available on Social Media
according to my preference and taste.
I can quickly recall symbol or logo of the
particular fashion / clothes that appeared in
the social media.
Using social sites provides me better
understanding about the particular brand of
the fashion.
When it comes to searching for specific
clothes there are some specific brands that I
first want to explore quickly on Social Media.
Brand Image Does your favorite brand always fulfil your
expectations?
I believe in some brands that will always
provide me excellent features.
How often do you shop for fashion
apparels….?
I love to buy from the particular brand that is
well established in the market.
When it comes to buying any specific clothes
or outfits I already know about which specific
brand I want to buy that in order to save my
time
Brand I usually use this product/brand as my first
Loyalty choice in comparison with the other
product/brand.
I would recommend this product/brand to
others through social media
When it comes to fashion I am very loyal to
some of the specific brands.
107
3.4 Conceptu
ual Fram
mework
k
E-WOM—
—E-Word
d of Mouthh messagee to influence otherss opinion
Feedback
k/opinion regardin
ng producct that I buy using ssocial meedia.
Reviews and
a ratin
ngs affect your buy
ying decisiion?
111
Social meedia helpss in acquiiring inforrmation about
a fash
hion trend
d
Follow th
he latest fa
ashion treends from
m social media.
m
Use Socia
al Media for
f buyin
ng/recomm
mending fashion
f ap
pparels.
Trust infformation
n availablee on my Instagram
I m/Faceboook/twitterr.
112
1. Out of total 222 respondents 49.5% are male and 50.5% are female
that means data contains almost consistent information from both
male and female respondents.
2. Most of the respondents in the data are between 20-30 years of age
i.e. 56.3% then 30 to 40 years i.e. 33.8% means data is majorly
captured the views of the adults between 21 to 40 years of age.
4. Also it has been observed that out of the total 222 respondents 40%
are having neutral towards E-Word of Mouth message to influence
others opinion however, 33% are still agree that E-WOM influenced
the buyer opinion.
6. Also it has been observed that most of the respondents agree that
social media helps them to acquire information regarding latest
trends and ultimately impact the brand equity for the product.
Reliability Statistics
Cronbach’ Alpha N of Items
.843 6
Inferences
1. From the case processing summary it is clear that total of 222 sample
size is used in the Reliability test i.e. 222 people are included in the
analysis
Inferences
1. The sample of 222 is taken into consideration for calculating the
relationship between the dependent and independent variables.
2. By looking in the above figure it is been observed that the out of the
five independent variables trust and content sharing is having
115
significant high positive correlation of around ~72% with the
dependent variable social media.
3. Means if their crease in the value of trust or content sharing it will
directly increase the brand equity by 72%.
4. Variables like EWOM, in-formativeness and purchasing decision are
having significant weak positive correlation with the dependent
variable.
5. All the independent variable the making significant positive impact
in the prediction of dependent variable.
Inferences
5. Latest trending clothes or fashion articles are playing the vital role in
building the brand equity of the products in fashion industry as
people are mostly care about the latest fashion trends and use the
social media information to convert into purchasing.
Inferences
Recommendations
We can conclude from our research that that social media marketing play
the vital role for the retail companies. Which can be advisable to the
marketing managers of retail organizations to use social media as part of
their marketing activities. Social media can leads the increase the sales
margins of the companies by providing the platform to interact directly to
the consumers through online media, blogs, chats, etc. which can
ultimately define paths to build brand image. According to Eze and Bello
(2016), the Engel, Kollet, Blackwell (EKB) model defines this because it
helps in the implication by which social media comes with an active role,
it gives the customer with 42 relevant searches that is quite enough which
enables people to do the purchase function.
119
Limitations
The size of Data sample that was taken is quite small and from NCR
(Greater Noida) region therefore it depicts very limited
generalization about the study concluded. Sample size must be rather
increased in order to cover more population inside the society and
helps to develop a realistic and accuracy of results.
The people who does participation into this survey was basically
from Greater Noida, but the same theory can be applied on a broader
margin by doing accurate collection of data from different states and
part of the globe for fetching a smooth understanding of the
influence which social media is sharing on consumer buying process.
The collection of data was made from the sample taken out of the
population who are readily available to share their responses that is
counted perfectly and are available to do their participation in study.
This may also lead to a biasness and also might be an unauthentic
representation of the sample taken from population.
Present research has been done to find out the impact of social media
marketing on brand awareness with reference to fashion industry. The
study was conducted by analyzing the data that was collected by way of
canvassing the questionnaire pertaining to the impact of social media that
was cast by it on the marketing of brand through the brand awareness
among respondents which in turn belonged to different criteria and social
media usage and impact pattern of social media on customers.
The data that was collected by sending the questionnaire to more than 250
participants across different locations in the Delhi NCR region fetched
responses of 222 respondents which stood at a response rate 88.8 percent
in total which is good response rate considering the online nature of
survey. There are different types of information that was extracted from
the collected data using data analysis related to customer’s gender, their
age group, their shopping preference, shopping mode, purchasing
behavior, etc.
1. Analysis showed that the number of valid cases for the survey. In
total there were 222 respondents out of 250 respondents who
provided their responses for the present study. There were no
missing values for these 222 respondents.
3. The age groups of respondents surveyed for present study have been
given. There was 1 respondent in the age gruoup of less than 20.
There were 125 who belonged to the age group of 20 – 30 years. 75
belonged to the age group of 30-40 years of age. And 21 were from
the age of above 40. Analysis provided that maximum number of the
respondents belonged to the age group of 20 to 30 years.
10. Analysis shows that maximum of the respondents agreed that they
searched online for others comments when they buy fashion
products.
12. Analysis also showed that people like to share their feedback on
social media.
13. It could be seen that people agreed that they were influenced by the
advertisements and brand endorsements.
15. Data analysis further showed that respondents believed that social
media helps in acquiring information about fashion trends.
16. Research showed that people agreed that they can easily find the
latest updates about their fashion choices on social media.
Social media platforms boast vast global user bases. Fashion brands can
leverage these platforms to access a diverse and far-reaching audience,
expanding their brand's visibility on a global scale.
Social media equips brands with data and analytics to monitor campaign
performance. This allows brands to refine their strategies and enhance
brand awareness efforts over time.
126
The fashion industry thrives on trends and virality, and social media is an
optimal platform for creating and capitalizing on these trends. Viral
challenges and trends can propel a brand to the forefront of consumer
consciousness.
The case processing summary for present research revealed that a total of
222 samples were utilized in the Reliability test, which includes the
analysis of 222 individuals.
1. The analysis of the MLR provided that the trendiness had the score
of 0.666709 which provided that it had a strong positive correlation
and the value was significant.
7. It was also observed that out of the five independent variables trust
and content sharing is having significant high positive correlation of
around ~72% with the dependent variable social media. Means if
128
there is increase in the value of trust or content sharing it will
directly increase the brand equity by 72%.
10. Variable trendiness has the significant impact upon the dependent
variable brand equity by the value of 0.081 means with the increase
of the trendiness by 1 unit it will significantly increase the value of
brand equity by 0.081 units.
11. Also, trust is also having the significant impact upon the brand
equity of the products in the fashion industry by 0.452 units.
13. People trust towards the social media is making more impact in
building brand equity as they tried to do more analysis by sharing the
contents in the form of a blog or reviews towards the product.
14. Latest trending clothes or fashion articles are playing the vital role in
building the brand equity of the products in fashion industry as
people are mostly care about the latest fashion trends and use the
social media information to convert into purchasing.
Thus the results of analysis indicate that the impact of social media on
brand awareness is substantial and multifaceted. Social media platforms
have revolutionized the way brands can connect with their target audience
and enhance their visibility. Social media platforms have a vast and
diverse global user base. Brands can leverage these platforms to reach a
wide international audience, expanding their brand's awareness on a
global scale.
Features like live streaming and stories offer real-time connections with
the audience. Brands can use these features for product launches, behind-
the-scenes glimpses, and interactive sessions, which can heighten brand
awareness.
Social media platforms offer robust data and analytics tools, enabling
brands to measure the performance of their campaigns. This data allows
for strategy refinement and improved brand awareness efforts over time.
In the context of the fashion industry, where aesthetics, trends, and visual
appeal are paramount, social media's impact on brand awareness is
profound. It offers a dynamic and engaging platform for brands to
132
connect with their audience, tell their visual story, and drive consumer
engagement. As social media continues to evolve and introduce new
features, fashion brands adapt their strategies to maintain and expand
brand awareness in this digital landscape.
Chapter-5
Analysis of Data
Chapterr-5
Analysis of Da
ata
This chap
pter focusees on analyyzing the data gathered conc erning im
mpact of
social meedia on brand
b aw
wareness with
w speccial refereence to fashion
f
industry. The analy
ysis of thiss data is vital
v for understandding the beehavior
demonstraated by th
he responddents who participated in this study, pro
oviding
crucial inssights into
o their invvestment teendencies..
Data An
nalysis Process
P
Given below are the tables and figures showing the distributions of
people with respect to different category as discussed above—
Table 1 shows the number of valid cases for the survey. In total there
were 222 respondents out of 250 respondents who provided their
responses for the present study. There were no missing values for these
222 respondents.
135
Table 1. Statistics
N Valid 222
Missing Nil
Source: Personal Survey and Data Analysis of Researcher.
Table 2 provides responses for the inferences which were given by the
respondents pertaining to their age. There were no missing responses for
the age of respondents.
Table 2. Age of the Respondents
N Valid 222
Missing Nil
Source: Personal Survey and Data Analysis of Researcher.
It can be seen from the Table 3 given below that the age groups of
respondents surveyed for present study have been given. There was 1
respondent in the age group of less than 20. There were 125 who
belonged to the age group of 20 – 30 years. 75 belonged to the age group
of 30-40 years of age. And 21 were from the age of above 40. Analysis
provided that maximum number of the respondents belonged to the age
group of 20 to 30 years.
Table 3. Age Group
Frequency Percent Valid Cumulative
Percent Percent
Valid Less than 20 1 .4 .5 .5
20-30 125 55.8 56.3 56.8
30-40 75 33.5 33.8 90.5
Above 40 21 9.4 9.5 100.0
Total 222 100.0 100.0
Total 222 100.0
Source: Personal Survey and Data Analysis of Researcher.
136
Graphic representa
r ation of thhe age of respondents can bbe seen fro
om the
Graph 1 given
g below.
Age Grroup
55..8
6
60
5
50
4
40 33..5
3
30 Percet
2
20
9.4
4
1
10
0.4
4
0
Less th
han 20-30
0 30-40
0 Above 40
20
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h1
2. Gend
der of thee Respond
dents
Table 4. Gender
G
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid M
Male 110 49.1 49.5 49.5
F
Female 112 50.0 50.5 10
00.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graph 2 given
g belo
ow providdes the graphic reprresentationn for the gender
of the resp
pondents.
137
Gend
der
50
50
4
49.8
4
49.6
4
49.4 Percet
49.1
4
49.2
49
4
48.8
4
48.6
Male Female
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h2
3. Occu
upation
It can be seen
s from
m the Tablee 5 given below
b thatt respondeent of the present
p
study bellonged to differentt streams of occup
pations. Itt was con
ncluded
from the analysis that
t maxim
mum num
mber of resspondents belonged
d to the
student caategory orr was emplloyed in some comp
pany.
T
Table 5. Occcupation
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Student 99 44.2 44.6 44.6
B
Business 6 2.7 2.7 47.3
E
Employee 96 42.9 43.2 90.5
O
Others 21. 9.4 9.5 10
00.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graph 3 given
g belo
ow providdes the graaphic reprresentationn for occu
upation
of the resp
pondents.
138
Occupa
ation
44.2
2 42..9
4
45
4
40
3
35
3
30
2
25
Percet
2
20
1
15 9.4
1
10
2.7
7
5
0
Studen
nt Busine
ess Employ
yee Otherrs
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h3
4. Do you
y use So
ocial Med
dia?
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid N
No 3 1.3 1.4 1.4
1
Y
Yes 219 97.8 98.6 10
00.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Do y
you use So
ocial Media?
97.8
100
80
60 Percet
40
20 1.3
0
No Yes
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h4
5. Do you
y tend to
t search for otherrs’ opinio
ons onlinee only when you
wantt to buy fa
ashion prroducts?
Table 7 given below
w providees responsee of the reespondent for the qu
uestion,
“Do you tend to search foor others’ opinion
ns online only wheen you
want to buy
b fashiion produ
ucts?” Annalysis sho
ows that m
maximum
m of the
responden
nts agreed
d that theyy searchedd online fo
or others commentss when
they buy fashion
f prroducts.
Table 7. Do
D you tend d to search
h for others’ opinions online onlyy when you want
to buy fasshion produ
ucts?
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 3 1.3 1.4 1.4
1
D
Disagree 11 4.9 5.0 6.3
6
N
Neutral 47 21.0 21.2 27.5
A
Agree 146 65.2 65.8 93.2
S
Strongly Ag
gree 15 6.7 6.8 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
140
Graphic representa
r ation of thhe statem
ment, “Do you tend
d to searrch for
others’ opinions online only wh
hen you want too buy fashion
f
products?” can be seen from
m the Grapph 5 given
n below.
Do you
u tend to se
earch for oth
hers’ opinions online on
nly
when you wan nt to buy fashion produccts? Group
65.2
70
60
50
40
Percet
30 21
20
4.9 6.7
10 1.3
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h5
6. On the
t intern
net, I'd lik
ke to send
d E-Word
d of Mouuth message and
influ
uence otheers opinioon.
Graphic representa
r ation of thhe statemeent, “On the interrnet, I'd like to
send E-W
Word of Mouth
M message and
d influencce others oopinion.” can be
seen from
m the Graph 6 given below.
On th
he internet,, I'd like to send E-Woord of Moutth
message
m a
and influenc ce others opinion.
o
39.3
40 33.9
35
30
25
20 Percet
12.5
15
10 5.4 6.7
5
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h6
7. I wo
ould like to sharee my feed
dback/opiinion regaarding product
that I buy using social media.
Graphic representa
r ation of th
the statem
ment, “I would
w lik
ke to sha
are my
feedback
k/opinion regardingg producct that I buy
b usingg social media.”
m
can be seeen from th
he Graph 7 given beelow.
I would
w like tto share my
m feedbackk/opinion
regarrding produ uct that I buy
b using social
s mediia.
60 53.1
50
40
30 Percet
20.5
20
10.3
6.7
10 0.9
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h7
143
8. Do online advertisements/endorsement on social media sites for
certain fashion brand influence you to buy that product?
Graph 8 given below provides the graphic representation for the question,
“Do online advertisements/endorsement on social media sites for
certain fashion brands influence you to buy that product?”
144
Do on
nline advert
rtisements//endorseme ent on soccial
media sites forr certain fashion bran
nd influencce
you to buy tha at product?
?
55.4
60
50
40
30 Percet
17.9
20
7.6 6.7
10 3.6
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h8
9. Do reviews
r an
nd ratingss affect yo
our buyin
ng decision
ns?
Graphic representa
r ation of thhe question
n, “Do reeviews and
d ratingss affect
your buy
ying decisiions?” cann be seen from the Graph
G 9 ggiven below
w.
145
Do
o reviews a
and ratings
s affect you
ur buying
decisioons?
43.8
45
40
35
30
25
20 Percet
15 10.3
6.7
10
1.8 0.9
5
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h9
I be
elieve that s
social med
dia helps in
n acquiring
g
informattion about fashion tre
ends.
55.8
60
50
40
30 Percet
20.1
20 14.7
5.8
10 2.7
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 10
11. I can
n easily fiind the laatest upda
ates and news
n abou
ut my fav
vourite
fashiion design
ns on Sociial Mediaa.
Graphic representa
r ation of thhe statement, “I ca
an easily find thee latest
updates and new
ws about my favoourite fasshion dessigns on Social
Media” can
c be seen
n from thee figure 11
1 given beelow.
58.5
60
50
40
30 Percet
20 14.3
6.7
10 2.2 3.6
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 10
12. Socia
al sites help
h me in
n providiing betterr informaation abo
out the
prod
duct.
Table 14 given belo
ow providdes the ressponses off the respoondents taaken up
for the prresent stud
dy under cconsideration, for th
he statemeent, “Socia
al sites
help me in
i providiing betterr informa
ation abou
ut the prooduct.” Analysis
A
148
showed th
hat social media heelps in prooviding beetter inform
mation about the
product.
Table 14. Social siites help m
me in providing bettter inform
mation abo
out the
product.
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 3 1.3 1.4 1.4
1
D
Disagree 10 4.5 4.5 5.9
5
N
Neutral 36 16.1 16.2 22.1
A
Agree 128 57.1 57.7 79.7
S
Strongly Ag
gree 45 20.1 20.3 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graph 12
2 given below prrovides th
he graphiic represeentation for
f the
statementt, “Social sites help
p me in prroviding better
b infformation
n about
the produ
uct.”
Social
S sites
s help me in
i providing better
information abouut the produ
uct.
57.1
60
50
40
30 Percet
16.1
20
4.5 6.7
10 1.3
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 12
Graphic representa
r ation of thhe statem
ment, “I follow
f thee latest fashion
f
trends fro
om sociall media” ccan be seeen from the Graph 1 3 given below.
I fo
ollow the la
atest fashio
on trends frrom social
media.
66.1
70
60
50
40
Percet
30 20.1
20
4.5 6.3
10 2.2
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 13
Graph 14
4 given below prrovides th
he graphiic represeentation for
f the
statementt, “I like wearing
w laatest trending cloth
hes and o utfits tha
at helps
me in red
defining myself.”
m
I like wearing la
atest trending clothes
s and outfitts
that help
ps me in red
defining myself.
49.6
50
45
40
35
30
25 18.3 Percet
16.5
20
15 10.7
10 4
5
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 14
151
15. I lov
ve buying from thee latest treends when it comees to buyin
ng any
dresss.
Responsees of the reespondentt for the statement, “I love b
buying fro
om the
latest tren
nds when
n it comess to buyin
ng any dreess.” Can be seen frrom the
table 17 given
g below.
Table 17.. I love bu
uying from the latest trends wh
hen it com es to buyin
ng any
dress.
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 6 2.7 2.7 2.7
2
D
Disagree 20 8.9 9.0 11.7
N
Neutral 50 22.3 22.5 34.2
A
Agree 113 50.4 50.9 85.1
S
Strongly Ag
gree 33 14.7 14.9 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graphic representa
r tion of th e statemennt. “I love buying from thee latest
trends wh
hen it com
mes to bu
uying any dress.” caan be seenn from thee Graph
15 given below.
b
60
50.4
50
40
30 22.3 Percet
20 14.7
8.9
10 2.7
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 14
152
16. Wea
aring lateest fashioon gives smile
s to my face and boo
ost my
confi
fidence.
Table 18 given belo
ow providdes the ressponses off the respoondents taaken up
for the prresent stu
udy underr consideration, for the stateement, “W
Wearing
latest fash
hion gives smile to m
my face an
nd boost my
m confiddence.”
Table 188. Wearing
g latest faashion givees smile to my facee and boo
ost my
confidencce.
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 4 1.8 1.8 1.8
1
D
Disagree 15 6.7 6.8 8.6
8
N
Neutral 46 20.5 20.7 29.3
A
Agree 114 50.9 51.4 80.6
S
Strongly Ag
gree 43 19.2 19.4 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graph 16
6 given below prrovides th
he graphiic represeentation for
f the
statementt, “Wearin
ng latest fashion gives
g smiile to my face and
d boost
my confid
dence”.
Wearing latest fa
ashion give
es smile to
o my face aand
booost my co
onfidence.
60 50.9
50
40
30 Percet
20.5 19.2
20
6.7
10 1.8
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 16
153
17. I usee Social Media
M for buying/reecommen
nding fash
hion apparels.
I us
se Social M
Media for bu
uying/recommending
g
fashion appparels.
60 54.5
50
40
30 21.4 Percet
20 11.2
8.9
10 3.1
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 17
154
18. I ofteen buy prroducts th
hat I see on
o these siites.
Graph 18
8 given below prrovides th
he graphiic represeentation for
f the
statementt, “I often buy prod
ducts thatt I see on these sitees.”
38.4
4
40 36.6
3
35
3
30
2
25
2
20 14.7 Percet
1
15
8
1
10
5 1.3
0
Strongly Disagree Neutral Agree Stro
ongly
Disagree Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 18
155
19. I bellieve on buying braanded clothes.
Graphic representa
r ation of thhe statemeent, “I bellieve on b
buying brranded
clothes” can
c be seeen from thhe Graph 19
1 given below.
I believe o
on buying branded clothes.
43.8
4
45
4
40
3
35
3
30
23.2
2
25
16.5 Percet
2
20
12.5
1
15
1
10
3.1
5
0
Strongly Disagree Neutral Agree Stro
ongly
Disagree Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 19
156
20. I trrust information available on my
m Instaggram/Facebook/
twittter.
Graph 20
2 given below prrovides thhe graphiic represeentation for
f the
statementt, “I trust informattion availlable on my
m Instaggram/Facebook/
twitter.”
37.5
40
35
30
22.3 22.7
25
20 Percet
15
10 6.7
4.9
5
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 20
157
21. Posittive/negattive revieews of any
y product influencce the pu
urchase
of th
hat producct.
Table 23 given belo
ow providdes the ressponses off the respoondents taaken up
for the prresent stu
udy under consideraation, for the statem
ment, “Po
ositive/
negative reviews of any product influencee the pu
urchase of
o that
product.”
”
Table 23.. Positive/n
negative revviews of any product influencee the purch
hase of
that prod
duct.
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 1 .4 .5 .5
D
Disagree 9 4.0 4.1 4.5
4
N
Neutral 26 11.6 11.7 16.2
A
Agree 130 58.0 58.6 74.8
S
Strongly Ag
gree 56 25.0 25.2 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graphic representa
r ation of thhe statemeent, “Posiitive/negaative reviews of
any prod
duct influeence the p
purchase of that product” ccan be seeen from
the Graph
h 21. given
n below.
Positive/neggative revie
ews of anyy product
influence
i th
he purchas se of that product.
p
58
60
50
40
30 25
Percet
20 11.6
10 4
0.4
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 21
158
22. When I buy a product online, the impact of negative reviews on
the web is greater for fashion related products on my purchasing
decision.
58
60
50
40
30 21.9 Percet
20
9.4
6.7
10 3.1
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 22
I think
k fashion prroducts muust be bought only affter
readding other's reviews..
48.2
50
45
40
35
30 24.6
25 Percet
20 14.7
15 8.9
10 2.7
5
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 22
Figure 24
4 given below prrovides th
he graphiic represeentation for
f the
statementt, “I frequ
uently folllow fashio
on related
d blogs.”
161
3
35 30.4
29.9
3
30
23.2
2
25
2
20
Percet
1
15
9.4
1
10 6.3
0
Strongly Disagree Neutral Agree Stro
ongly
Disagree Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 24
25. I alw
ways noticce fashion
n apparel advertiseement on social meedia.
Graphic representat
r tion of thee statemen
nt can be seen
s from
m the figuree given
below. Grraph 25 given below
w providees the grap
phic repreesentation for the
statementt, “I alwa
ays noticee fashion apparel advertiseement on social
media.”
162
I alwa
ays notice ffashion apparel advertisement o
on
social media.
m
46.4
50
45
40
35 27.7
30
25 Percet
20
10.3 12.1
15
10 2.7
5
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 25
26. I reefer to So
ocial mediia whenevver I wantt to buy aany clothees.
Responsees of the reespondentt for the statement, “I refer tto Social media
wheneverr I want to buy aany clothees.” Can be
b seen frrom the taable 28
given belo
ow.
Table 28. I refeer to Sociall media wh
henever I want to buy any clothes.
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 22 9.8 9.9 9.9
9
D
Disagree 32 14.3 14.4 24.3
N
Neutral 62 27.7 27.9 52.3
A
Agree 91 40.6 41.0 93.2
S
Strongly Ag
gree 15 6.7 6.8 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graph 26
6. given below prrovides thhe graphiic represeentation for
f the
statementt, “I refeer to Soccial media whenev
ver I waant to bu
uy any
clothes.”
163
I refer to Social m
media wheenever I want to buy aany
clothe
es.
45 40.6
40
35
27.7
30
25
20 Percet
14.3
15 9.8
6.7
10
5
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 26
27. Socia
al Sites help
h me in
n making my decission towaards buyin
ng any
fashiion apparrels.
Social Sites h
help me in making myy decision
towards bu uying any fashion ap
pparels.
60 53.1
50
40
30 25
Percet
20
8.5 7.1
5.4
10
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 27
28. I am
m able to distin
nguish beetween various
v ffashion brands
b
availlable on Social
S Meedia accorrding to my
m prefereence and taste.
Responsess of the reespondent for the sttatement, “I
“ am ablle to distiinguish
between various
v fa
ashion braands availlable on Social
S Med
dia accord
ding to
my preferrence and
d taste.” Can be seen
n from the table 30 ggiven below
w.
Table 30. I am able to distingu
uish betweeen various fashion braands availa
able on
Social Meedia accord
ding to my ppreferencee and taste.
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 9 4.0 4.1 4.1
4
D
Disagree 19 8.5 8.6 12.6
N
Neutral 58 25.9 26.1 38.7
A
Agree 118 52.7 53.2 91.9
S
Strongly Ag
gree 18 8.0 8.1 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
165
Graph 28
8 given below prrovides th
he graphiic represeentation for
f the
statementt, “I am
m able too disting
guish bettween vaarious fa
ashions
brands available
a on Socia l Media according
g to my preferencce and
taste.”
I am
m able to dis
stinguish be
etween vario
ous fashion
brannds availabl e on Social Media acco
ording to myy
ppreference and
a taste.
60 52.7
50
40
25.9
30 Percet
20
8.5 8
10 4
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 28
29. I can
n quickly
y recall syymbol orr logo of the partiicular fasshion /
cloth
hes that ap
ppeared iin the soccial media
a.
Table 31. I can quicckly recall ssymbol or logo of thee particularr fashion / clothes
that appeeared in thee social med
dia.
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 5 2.2 2.3 2.3
2
D
Disagree 18 8.0 8.1 10.4
N
Neutral 46 20.5 20.7 31.1
A
Agree 122 54.5 55.0 86.0
S
Strongly Ag
gree 31 13.8 14.0 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graphic representat
r tion of thee statemen
nt, “I can quickly rrecall sym
mbol or
logo of the
t particcular fash
hion / cloothes thatt appeareed in the social
media” can be seen
n from thee Graph 29
9 given beelow.
I can
n quickly reccall symbol or logo of th
he particulaar
fashiion / clothes
s that appea
ared in the social
s mediaa.
60 54.5
50
40
30 Percet
20.5
20 13.8
8
10 2.2
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 29
30. Usin
ng social sites provvides me better understan
u nding abo
out the
partiicular bra
and of thee fashion..
Responsees of the respondeent for thhe statem
ment, “Usiing socia
al sites
provides me betteer understtanding about
a the particulaar brand of the
fashion.”
” can be seeen from thhe table 32 given beelow.
167
Graph 30
0 given below prrovides th
he graphiic represeentation for
f the
statementt, “Using social
s sitees providees me bettter underrstanding
g about
the particcular brand of the fashion”
Using
g social site
es provides me better understandinng
about the pparticular brrand of the fashion.
f
60 52.2
50
40
30 25
Percet
20 13.4
5.8
10 2.7
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 30
Tab
ble 33. Doess your favoorite brand always fulfill your exxpectations?
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 4 1.8 1.8 1.8
1
D
Disagree 24 10.7 10.8 12.6
N
Neutral 56 25.0 25.2 37.8
A
Agree 125 55.8 56.3 94.1
S
Strongly Ag
gree 13 5.8 5.9 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graphic representa
r ation of tthe statem
ment, “Do
oes your favorite brand
always fu
ulfill yourr expectattions?” caan be seen
n from thee Graph 31
1 given
below.
Do
oes your fav
vorite bran
nd always fulfill
f your
expectations?
55.8
60
50
40
30 25
Percet
20 10.7
5.8
10 1.8
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 31
Graph 32
2 given below prrovides th
he graphiic represeentation for
f the
statementt, “I belieeve in soome bran
nds that will alwaays proviide me
excellent features.”
I belie
eve in som
me brands that will alwways provid
de
me
e excellentt features.
70 62.1
60
50
40
Percet
30
14.3 16.5
20
10 2.7 3.6
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 32
33. I lov
ve to buy from
f the particula
ar brand that
t is weell establisshed in
the market.
m
Responsees of the reespondentt for the statement,
s “I love tto buy fro
om the
particula
ar brand that
t is weell establiished in the
t markeet.” Can be
b seen
from the table
t 35 giiven below
w.
170
48.7
50
45
40
35
30 23.7
25 18.3 Percet
20
15 7.6
10
5 0.9
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 33
34. Wheen it comees to buyiing any sp
pecific clo
othes or ooutfits I already
a
know
w about which
w speecific bran
nd I want to buy tthat in orrder to
save my time..
Responsees of the respondennt for the statemeent, “Wheen it com
mes to
buying any
a speciffic clothees or outffits I alreeady knoow about which
171
specific brand
b I want
w to bu
uy that in
n order to save myy time.” Can be
seen from
m the table 36 given below.
Table 36.. When it comes to b buying anyy specific clothes
c or outfits I already
a
know aboout which specific braand I want to
t buy thatt in order too save my time.
t
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 6 2.7 2.7 2.7
2
D
Disagree 18 8.0 8.1 10.8
N
Neutral 41 18.3 18.5 29.3
A
Agree 117 52.2 52.7 82.0
S
Strongly Ag
gree 40 17.9 18.0 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graph 34
4 given below prrovides th
he graphiic represeentation for
f the
statementt “When it
i comes to buying
g any speecific clotthes or ou
utfits I
already know
k about which specific brand
b I want
w to bu
uy that in
n order
to save my
m time.”
60 52.2
50
40
30 Percet
18.3 17.9
20
8
10 2.7
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 34
172
35. I gott good vallue for mooney when I buy frrom this sspecific brrand.
Graphic representa
r ation of thhe statemeent, “I go
ot good vaalue for money
when I buy
b from this speccific brand.” can be seen froom the Grraph 35
given belo
ow.
60 51.8
50
40
30 21.9 Percet
15.6
20
7.6
10 2.2
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 35
173
36. I usu
ually use this
t produ
uct/brand
d as my fiirst choicee in comp
parison
with the otherr productt/brand.
Responsees of the respondeent for thhe statemeent, “I u
usually usse this
product/b
brand ass my firsst choice in comparison w
with the other
product/b
brand.” can
c be seenn from thee table 38 given beloow.
Table 38.. I usually use this p
product/braand as my first choicce in comp
parison
with the other
o produuct/brand.
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 5 2.2 2.3 2.3
2
D
Disagree 15 6.7 6.8 9.0
9
N
Neutral 55 24.6 24.8 33.8
A
Agree 117 52.2 52.7 86.5
S
Strongly Ag
gree 30 13.4 13.5 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graph 36
6 given below prrovides th
he graphiic represeentation for
f the
statementt, “I usua
ally use tthis prod
duct/brand as my first cho
oice in
comparisson with the
t other product/b
brand.”
60 52.2
50
40
30 24.6
Percet
20 13.4
6.7
10 2.2
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 36
174
37. I wo
ould recom
mmend th
his produ
uct/brand to otherss through
h social
mediia.
Table 39 given belo
ow providdes the ressponses off the respoondents taaken up
for the prresent stu
udy under consideraation, for the stateement, “I would
recommeend this product/brrand to otthers thro
ough sociaal media.”
Table 39.. I would recommen
nd this pro
oduct/brand to otherrs through
h social
media.
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 6 2.7 2.7 2.7
2
D
Disagree 23 10.3 10.4 13.1
N
Neutral 68 30.4 30.6 43.7
A
Agree 99 44.2 44.6 88.3
S
Strongly Ag
gree 26 11.6 11.7 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
Graphic representa
r ation of tthe statem
ment, “I would reecommen
nd this
product/b
brand to others th
hrough so
ocial med
dia” can bbe seen from the
Graph 37 given bellow.
I wou
uld recommmend this product/bra
p and to otheers
thrrough sociial media.
44.2
45
40
35 30.4
30
25
20 Percet
10.3 11.6
15
10
2.7
5
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 37
175
38. Wheen it comees to fash
hion I am very loya
al to somee of the specific
s
bran
nds.
Responsees of the respondennt for the statemeent, “Wheen it com
mes to
fashion I am very
y loyal to some of the speciific brand
ds.” can be
b seen
from the table
t 40 giiven below
w.
Table 40.. When it comes to ffashion I am
a very lo
oyal to som
me of the specific
s
brands.
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 5 2.2 2.3 2.3
2
D
Disagree 20 8.9 9.0 11.3
N
Neutral 63 28.1 28.4 39.6
A
Agree 101 45.1 45.5 85.1
S
Strongly Ag
gree 33 14.7 14.9 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
50 45.1
45
40
35 28.1
30
25 Percet
20 14.7
15 8.9
10
2.2
5
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 38
176
39. I rea
ally liked the
t clothees I bough
ht from so
ocial netw
working sites.
Graphic representa
r ation of thhe statement, “I reeally likeed the clo
othes I
bought frrom socia
al networrking sites.” can bee seen froom the Grraph 39
given belo
ow.
37.1
40 35.3
35
30
25
20 15.2 Percet
15 10.3
10
5 1.3
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 39
177
40. I lik
ked the way fashioon industrry launch
h their prroduct ch
hain or
desig
gn throug
gh social m
media cha
annels.
Responsees of the reespondentt for the sttatement, “I liked tthe way fashion
f
industry launch th
heir prod
duct chain
n or desig
gn througgh social media
channels..” can be seen
s from
m the table 42 given below.
Table 42. I liked thee way fashioon industry
y launch th
heir producct chain or design
through social
s media channels..
F
Frequency Percent Validd Cumulative
Percennt Perrcent
Valid S
Strongly Disagree 8 3.6 3.6 3.6
3
D
Disagree 14 6.3 6.3 9.9
9
N
Neutral 52 23.2 23.4 33.3
A
Agree 123 54.9 55.4 88.7
S
Strongly Ag
gree 25 11.2 11.3 10
00.0
Total 222 100.0 100.00
Total 224 100.0
Source: Personal
P Surrvey and Daata Analysiss of Researccher.
I liked
d the way fa
ashion indus
stry launch their producct
cha
ain or desig
gn through social
s media
a channels.
60 54.9
50
40
30 23.2 Percet
20 11.2
6.3
10 3.6
0
Strongly
y Disagree Neutral Agree Stro
ongly
Disagree
e Aggree
Sou
urce: Perso
onal Survey and Data Analysis
A of Researcher
R
Graph
h 40
178
Out of total 222 respondents 49.5% are male and 50.5% are female that
means data contains almost consistent information from both male and
female respondents.
Most of the respondents in the data are between 20-30 years of age i.e.
56.3% then 30 to 40 years i.e. 33.8% means data is majorly captured the
views of the adults between 21 to 40 years of age.
Also it has been observed that out of the total 222 respondents 40% are
having neutral towards E-Word of Mouth message to influence others
opinion however, 33% are still agree that E-WOM influenced the buyer
opinion.
Also it has been observed that most of the respondents agree that social
media helps them to acquire information regarding latest trends and
ultimately impact the brand equity for the product.
From the case processing summary it is clear that total of 222 sample size
is used in the Reliability test i.e. 222 people are included in the analysis
The above composite score of 84% indicate that there is 84% of variance
in the score is true score variance or the reliable variance.
179
Multiple Linear Regression is been applied on the data for doing analysis
by the researcher to evaluate social media impact on brand equity of the
product in Fashion industry. Also reason for applying MLR model is to
check for the significance of the factors affecting the brand equity of the
product and eventually leads to validate our hypothesis. Multiple linear
regressions is given as—
Y = a + b1X1 + b2X2 + b3X3 + b4X4 + e
Where,
Y = Brand Equity
a = Constant
b1, b2, b3, b4 = Regression coefficient of variables
X1, X2, X3, X4 = factors includes Trendiness, EWOM, Trust, Content-
Sharing, In-formativeness, Purchasing Decision
e = error
Inferences
Applying multiple linear regression model on the identified factors for the
test of significance of the variables to the target variable.
Coefficientsa
Model Unstandardized Standardized t Sig
Coefficients Coefficients
B Std. Error Beta
Inferences
7. Also, trust is also having the significant impact upon the brand
equity of the products in the fashion industry by 0.452 units.
10. Latest trending clothes or fashion articles are playing the vital role in
building the brand equity of the products in fashion industry as
people are mostly care about the latest fashion trends and use the
social media information to convert into purchasing.
Hypothesis Testing
Inferences
Recommendations &
Conclusion
6.1 Recommendations
6.2 Conclusion
6.3 Limitations
6.4 Future Research and Recommendations
Chapter-6
Recommendations & Conclusions
6.1 Recommendations
Social media has transformed the way businesses approach brand
awareness. It serves as a powerful tool for building and strengthening
brand recognition. The impact of social media on brand awareness can be
broken down into several key areas. Social media platforms like
Facebook, Instagram, and Twitter have billions of users worldwide. This
global presence allows brands to connect with audiences on a massive
scale, transcending geographical boundaries and increasing brand
visibility internationally. Visual content reigns supreme on social media.
Brands can leverage this by sharing captivating images and videos that
resonate with their target audience. This visual storytelling helps create a
strong and memorable brand identity that consumers can easily recognize
and remember. Social media enables two-way communication. Brands
can engage with their followers through comments, likes, and direct
messages. This interaction fosters a sense of community and personal
connection, making consumers more likely to remember and engage with
the brand.
Live Streaming and Stories—Use live streaming and stories for real-
time engagement. Host live events, Q&A sessions, and exclusive product
launches to create excitement and urgency.
187
Create Viral Content—Develop content that has the potential to go
viral. Participate in or start relevant challenges and trends to gain
visibility and reach a wider audience.
Data-Driven Decision Making—Utilize social media analytics to
measure the performance of your campaigns. Adjust your strategy based
on data insights to continually improve your efforts.
Paid Advertising—Incorporate paid advertising into your social media
strategy. Social media platforms offer precise targeting options, which
can help you reach the right audience.
Storytelling and Emotion—Craft compelling brand stories and content
that evoke emotions and connect with your audience on a personal level.
Crisis Preparedness—Develop a crisis management plan to handle
negative situations promptly and professionally, minimizing damage to
brand reputation.
Stay Current with Trends—Keep an eye on emerging social media
trends and platform updates. Being at the forefront of these trends can
give your brand a competitive advantage.
Cross-Promote and Collaborate—Collaborate with other fashion
brands or complementary businesses for cross-promotion. Joint
campaigns can expand your reach.
Measure and Adjust—Continuously measure the impact of your social
media marketing efforts on brand awareness. Use these insights to refine
your strategy.
By implementing these recommendations, fashion brands can harness the
full potential of social media marketing to enhance brand awareness and
strengthen their position in the industry. It's an ever-evolving landscape,
so staying agile and adaptive is key to long-term success.
188
Recognize the cultural diversity and linguistic variations within India, and
tailor your content accordingly to resonate with different regions.
Share stories and narratives that evoke emotions and connect with Indian
consumers on a personal level.
We can conclude from our research that that social media marketing play
the vital role for the retail companies. Which can be advisable to the
marketing managers of retail organizations to use social media as part of
their marketing activities. Social media can leads the increase the sales
margins of the companies by providing the platform to interact directly to
the consumers through online media, blogs, chats, etc. which can
ultimately define paths to build brand image. According to Eze and Bello
(2016), the Engel, Kollet, Blackwell (EKB) model defines this because it
helps in the implication by which social media comes with an active role,
193
it gives the customer with 42 relevant searches that is quite enough which
enables people to do the purchase function.
6.2 Conclusions
Social media marketing has had a profound impact on brand awareness
within the fashion industry. It has become a pivotal channel for fashion
brands to connect with their audience, build brand awareness, and
promote their products. Social media platforms have a vast global user
base. Fashion brands can reach a diverse and widespread audience,
increasing their brand exposure on a global scale. Visual content is a
cornerstone of social media, making it ideal for fashion brands. They can
showcase their collections, runway shows, and behind-the-scenes content,
allowing consumers to visually connect with the brand's style and
aesthetics.
Chapter 4 dealt in brief the analysis and results of the study which
basically attempted to study the impact of social media on brand
awareness of companies though customer loyalty and customer
purchasing behaviour under the impact of social media.
Chapter 5 is the most important chapter which dealt with the analysis of
data that was collected by the researcher through a well-designed
questionnaire that was sent to 250 respondents and 222 responses were
received. The chapter provides for demographic details and MLR analysis
and draws inferences on the basis of analysis.
7. It could be seen that people agreed that they were influenced by the
advertisements and brand endorsements.
10. Research showed that people agreed that they can easily find the
latest updates about their fashion choices on social media.
12. It was also observed that people agreed that they follow the latest
fashion trends from social media.
197
13. Analysis showed that the number of valid cases for the survey. In
total there were 222 respondents out of 250 respondents who
provided their responses for the present study. There were no
missing values for these 222 respondents.
14. Among the 222 respondents, gender distribution is nearly equal, with
49.5% being male and 50.5% female, indicating a balanced
representation of both genders in the data.
15. The age groups of respondents surveyed for present study have
been given. There was 1 respondent in the age group of less than
20. There were 125 who belonged to the age group of 20 – 30
years. 75 belonged to the age group of 30-40 years of age. And 21
were from the age of above 40. Analysis provided that maximum
number of the respondents belonged to the age group of 20 to 30
years.
16. The majority of respondents fall within the 20-30 age group,
comprising 56.3%, closely followed by the 30-40 age group at
33.8%. This suggests that the data predominantly captures the
perspectives of adults aged 21 to 40.
22. Analysis shows that maximum of the respondents agreed that they
searched online for others comments when they buy fashion
products.
24. Analysis also showed that people like to share their feedback on
social media.
25. It could be seen that people agreed that they were influenced by the
advertisements and brand endorsements.
27. Data analysis further showed that respondents believed that social
media helps in acquiring information about fashion trends.
28. Research showed that people agreed that they can easily find the
latest updates about their fashion choices on social media.
30. It was also observed that people agreed that they follow the latest
fashion trends from social media.
199
31. Furthermore, the data reveals that among the 222 respondents, 40%
maintain a neutral stance concerning the impact of Electronic Word
of Mouth (E-WOM) messages on others' opinions, while 33% firmly
agree that E-WOM influences buyer opinions.
33. Lastly, it is worth noting that most respondents concur that social
media serves as a valuable source of information on the latest trends
and has a consequential effect on the brand equity of products.
34. The analysis of the MLR provided that the trendiness had the score
of 0.666709 which provided that it had a strong positive correlation
and the value was significant.
35. EWOM has the value of 0.497140 which showed a weak positive
correlation. However, the value was significant.
36. Trust accounted for a value of 0.730964 which provided for strong
positive correlation and value was significant.
37. Content Sharing had a value of 0.729540 which had a strong positive
correlation which significant.
40. It was also observed that out of the five independent variables trust
and content sharing is having significant high positive correlation of
around ~72% with the dependent variable social media. Means if
200
there is increase in the value of trust or content sharing it will
directly increase the brand equity by 72%.
42. All the independent variable had significant positive impact in the
prediction of dependent variable.
43. Variable trendiness has the significant impact upon the dependent
variable brand equity by the value of 0.081 means with the increase
of the trendiness by 1 unit it will significantly increase the value of
brand equity by 0.081 units.
44. Also, trust is also having the significant impact upon the brand
equity of the products in the fashion industry by 0.452 units.
46. People trust towards the social media is making more impact in
building brand equity as they tried to do more analysis by sharing the
contents in the form of a blog or reviews towards the product.
47. Latest trending clothes or fashion articles are playing the vital role in
building the brand equity of the products in fashion industry as
people are mostly care about the latest fashion trends and use the
social media information to convert into purchasing.
48. The examination of hypothesis one (H1) revealed that trust indeed
plays a substantial role in shaping brand equity. In support of this,
201
the Multiple Regression Analysis indicated that the value was
statistically significant (p = 0.000 < 0.05).
49. The examination of hypothesis two (H2) revealed that the influence
of trendiness on brand equity is statistically significant based on the
Multiple Regression Analysis (p = 0.009 < 0.05).
50. The examination of hypothesis three (H3) revealed that the effect of
Electronic Word of Mouth (EWOM) on brand equity is not
statistically significant according to the Multiple Regression
Analysis (p = 0.090 > 0.05).
51. The p-value for the trust variable is 0.000, which is less than 0.05.
This indicates that trust has a statistically significant impact on
building brand equity in the fashion industry for fashion products.
Therefore, we reject the null hypothesis and accept the alternative
hypothesis.
52. The p-value for the trendiness variable is 0.009, which is also less
than 0.05. This suggests that trendiness has a statistically significant
impact on building brand equity for fashion products in the fashion
industry. Consequently, we reject the null hypothesis and accept the
alternative hypothesis.
53. In contrast, the p-value for the EWOM variable is 0.090, exceeding
the 0.05 threshold. This implies that Electronic Word of Mouth
(EWOM) does not have a statistically significant impact on building
brand equity for fashion products in the fashion industry.
54. The p-value for the perceived value variable is 0.002, less than 0.05.
This indicates that content sharing does indeed have a statistically
significant impact on building brand equity for fashion products in
202
the fashion industry. As such, we reject the null hypothesis and
accept the alternative hypothesis.
55. Conversely, the p-value for the purchasing decision variable is 0.79,
which is greater than 0.05. This suggests that the purchasing decision
does not possess a statistically significant impact on building brand
equity for fashion products in the fashion industry. Thus, we accept
the null hypothesis and reject the alternative hypothesis.
Features like live streaming and stories offer real-time connections with
the audience. Brands can effectively utilize these features for product
launches, behind-the-scenes glimpses, and interactive sessions, thereby
heightening brand awareness.
Lastly, these platforms offer robust data and analytics tools, granting
brands insights into the performance of their campaigns. This invaluable
data facilitates the refinement of strategies and the continuous
improvement of brand awareness efforts over time.
In the context of the fashion industry, where aesthetics, trends, and visual
appeal are paramount, the impact of social media on brand awareness is
profound. Social media presents a dynamic and engaging platform for
fashion brands to connect with their audience, narrate their visual story,
204
and foster consumer engagement. As social media continues to evolve
and introduce new features, fashion brands adeptly adapt their strategies
to uphold and expand brand awareness within this digital landscape.
6.3 Limitations
1. Social media marketing is not to be newly known concept and it
keeps on changing and revolving around. Therefore, there are
enormous journals/articles relevant at this point towards topic but
only very few articles help to relate social media with different
challenges in consumer behaviour.
2. The size of Data sample that was taken is quite small and from NCR
(Greater Noida) region therefore it depicts very limited
generalization about the study concluded. Sample size must be rather
increased in order to cover more population inside the society and
helps to develop a realistic and accuracy of results.
3. The people who does participation into this survey was basically
from Greater Noida, but the same theory can be applied on a broader
margin by doing accurate collection of data from different states and
part of the globe for fetching a smooth understanding of the
influence which social media is sharing on consumer buying process.
6. Into this study the level of focus have been shortened down and
research contains the information related to objectives.
7. The collection of data was made from the sample taken out of the
population who are readily available to share their responses that is
counted perfectly and are available in order to do their participation
in study. This may also leads to a biasness and also might be an
unauthentic representation of the sample taken from population.
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QUESTIONNAIRE
( 246 )
Questionnaire
“TO STUDY THE EFFECTIVENESS OF SOCIAL MEDIA MARKETING IN
CREATING BRAND EQUITY FOR FASHION INDUSTRY”
Dear Respondent,
I am a research scholar at CCS University, Meerut Uttar Pradesh. This survey is part
of my PhD and the purpose of this survey is to measure, explore and analyze -''THE
EFFECTIVENESS OF SOCIAL MEDIA MARKETING IN CREATING BRAND
EQUITY FOR FASHION INDUSTRY".
This survey questionnaire has carefully designed to assess how consumers of Greater
Noida and Noida are consuming the products and services through social media
marketing that helps in creating brand equity for fashion industry.
Please spend few minutes to complete the questionnaire. Your participation is
voluntary and entirely confidential. No personal data will be collected.
If you have any questions about this survey please contact me on
poojatyagi2008@niet.co.in .Thank you so much for your participation.
Note—The purpose of this survey is to study the effectiveness of social media
marketing in creating brand equity in fashion industry.
Pooja Tyagi
Ph.D. Research Scholar
Response Sheet
1. E-Mail : .............................................................
2. Name of the Respondent : .............................................................
3. Age Group
(a) Less than 20 [ ] (b) 20-30 [ ]
(c) 30-40 [ ] (d) Above 40 [ ]
4. Gender
(a) Male [ ] (b) Female [ ]
5. Occupation
(a) Student [ ] (b) Business [ ]
(c) Employee [ ] (d) Others [ ]
6. Do you use Social Media?
(a) Yes [ ] (b) No [ ]
(i)
7. Do you tend to search for others' opinions online only when you want to
buy fashion products?
(a) Yes [ ] (b) No [ ]
8. On the internet, I'd like to send E-Word of Mouth message and influence
others opinion.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
9. I would like to share my feedback/opinion regarding product that I buy
using social media.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
10. Do online advertisements/endorsement on social media sites for certain
fashion brands influence you to buy that product?
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
11. Do reviews and ratings affect your buying decisions?
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
12. I believe that social media helps in acquiring information about fashion
trends.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
13. I can easily find the latest updates and news about my favorite fashion
designs on Social Media.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
( ii )
14. Social sites help me in providing better information about the product.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
15. I follow the latest fashion trends from social media.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
16. I like wearing latest trending clothes and outfits that helps me in
redefining myself.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
17. I love buying from the latest trends when it comes to buying any dress.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
18. Wearing latest fashion gives smile to my face and boost my confidence.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
19. I use Social Media for buying/recommending fashion apparels.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
20. I often buy products that I see on these sites.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
21. I believe on buying branded clothes.
(a) Strongly Disagree [ ] (b) Disagree [ ]
( iii )
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
22. I trust information available on my Instagram/Facebook/twitter.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
23. Positive/negative review of any product influence the purchase of that
product.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
24. When I buy a product online, the impact of negative reviews on the web is
greater for fashion related products on my purchasing decision.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
25. I think fashion products must be bought only after reading other's
reviews.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
26. I frequently follow fashion related blogs.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
27. I always notice fashion apparel advertisement on social media.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
28. I refer to Social media whenever I want to buy any clothes.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
( iv )
29. Social Sites help me in making my decision towards buying any fashion
apparels.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
30. I am able to distinguish between various fashion brands available on
Social Media according to my preference and taste.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
31. I can quickly recall symbol or logo of the particular fashion / clothes that
appeared in the social media.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
32. Using social sites provides me better understanding about the particular
brand of the fashion.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
33. Does your favorite brand always fulfil your expectations?
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
34. I believe in some brands that will always provide me excellent features.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
35. I love to buy from the particular brand that is well established in the
market.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
(v)
36. When it comes to buying any specific clothes or outfits I already know
about which specific brand I want to buy that in order to save my time.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
37. I got good value for money when I buy from this specific brand.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
38. I usually use this product/brand as my first choice in comparison with the
other product/brand.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
39. I would recommend this product/brand to others through social media.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
40. When it comes to fashion I am very loyal to some of the specific brands.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
41. I really liked the clothes I bought from social networking sites.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
42. I liked the way fashion industry launch their product chain or design
through social media channels.
(a) Strongly Disagree [ ] (b) Disagree [ ]
(c) Neutral [ ] (d) Agree [ ]
(e) Strongly Agree [ ]
( vi )
Chapter-6
Recommendations &
Conclusion
6.1 Recommendations
6.2 Conclusion
6.3 Limitations
6.4 Future Research and Recommendations
Chapter-6
Recommendations & Conclusions
6.1 Recommendations
Social media has transformed the way businesses approach brand
awareness. It serves as a powerful tool for building and strengthening
brand recognition. The impact of social media on brand awareness can be
broken down into several key areas. Social media platforms like
Facebook, Instagram, and Twitter have billions of users worldwide. This
global presence allows brands to connect with audiences on a massive
scale, transcending geographical boundaries and increasing brand
visibility internationally. Visual content reigns supreme on social media.
Brands can leverage this by sharing captivating images and videos that
resonate with their target audience. This visual storytelling helps create a
strong and memorable brand identity that consumers can easily recognize
and remember. Social media enables two-way communication. Brands
can engage with their followers through comments, likes, and direct
messages. This interaction fosters a sense of community and personal
connection, making consumers more likely to remember and engage with
the brand.
Live Streaming and Stories—Use live streaming and stories for real-
time engagement. Host live events, Q&A sessions, and exclusive product
launches to create excitement and urgency.
187
Create Viral Content—Develop content that has the potential to go
viral. Participate in or start relevant challenges and trends to gain
visibility and reach a wider audience.
Data-Driven Decision Making—Utilize social media analytics to
measure the performance of your campaigns. Adjust your strategy based
on data insights to continually improve your efforts.
Paid Advertising—Incorporate paid advertising into your social media
strategy. Social media platforms offer precise targeting options, which
can help you reach the right audience.
Storytelling and Emotion—Craft compelling brand stories and content
that evoke emotions and connect with your audience on a personal level.
Crisis Preparedness—Develop a crisis management plan to handle
negative situations promptly and professionally, minimizing damage to
brand reputation.
Stay Current with Trends—Keep an eye on emerging social media
trends and platform updates. Being at the forefront of these trends can
give your brand a competitive advantage.
Cross-Promote and Collaborate—Collaborate with other fashion
brands or complementary businesses for cross-promotion. Joint
campaigns can expand your reach.
Measure and Adjust—Continuously measure the impact of your social
media marketing efforts on brand awareness. Use these insights to refine
your strategy.
By implementing these recommendations, fashion brands can harness the
full potential of social media marketing to enhance brand awareness and
strengthen their position in the industry. It's an ever-evolving landscape,
so staying agile and adaptive is key to long-term success.
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Recognize the cultural diversity and linguistic variations within India, and
tailor your content accordingly to resonate with different regions.
Share stories and narratives that evoke emotions and connect with Indian
consumers on a personal level.
We can conclude from our research that that social media marketing play
the vital role for the retail companies. Which can be advisable to the
marketing managers of retail organizations to use social media as part of
their marketing activities. Social media can leads the increase the sales
margins of the companies by providing the platform to interact directly to
the consumers through online media, blogs, chats, etc. which can
ultimately define paths to build brand image. According to Eze and Bello
(2016), the Engel, Kollet, Blackwell (EKB) model defines this because it
helps in the implication by which social media comes with an active role,
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it gives the customer with 42 relevant searches that is quite enough which
enables people to do the purchase function.
6.2 Conclusions
Social media marketing has had a profound impact on brand awareness
within the fashion industry. It has become a pivotal channel for fashion
brands to connect with their audience, build brand awareness, and
promote their products. Social media platforms have a vast global user
base. Fashion brands can reach a diverse and widespread audience,
increasing their brand exposure on a global scale. Visual content is a
cornerstone of social media, making it ideal for fashion brands. They can
showcase their collections, runway shows, and behind-the-scenes content,
allowing consumers to visually connect with the brand's style and
aesthetics.
Chapter 4 dealt in brief the analysis and results of the study which
basically attempted to study the impact of social media on brand
awareness of companies though customer loyalty and customer
purchasing behaviour under the impact of social media.
Chapter 5 is the most important chapter which dealt with the analysis of
data that was collected by the researcher through a well-designed
questionnaire that was sent to 250 respondents and 222 responses were
received. The chapter provides for demographic details and MLR analysis
and draws inferences on the basis of analysis.
7. It could be seen that people agreed that they were influenced by the
advertisements and brand endorsements.
10. Research showed that people agreed that they can easily find the
latest updates about their fashion choices on social media.
12. It was also observed that people agreed that they follow the latest
fashion trends from social media.
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13. Analysis showed that the number of valid cases for the survey. In
total there were 222 respondents out of 250 respondents who
provided their responses for the present study. There were no
missing values for these 222 respondents.
14. Among the 222 respondents, gender distribution is nearly equal, with
49.5% being male and 50.5% female, indicating a balanced
representation of both genders in the data.
15. The age groups of respondents surveyed for present study have
been given. There was 1 respondent in the age group of less than
20. There were 125 who belonged to the age group of 20 – 30
years. 75 belonged to the age group of 30-40 years of age. And 21
were from the age of above 40. Analysis provided that maximum
number of the respondents belonged to the age group of 20 to 30
years.
16. The majority of respondents fall within the 20-30 age group,
comprising 56.3%, closely followed by the 30-40 age group at
33.8%. This suggests that the data predominantly captures the
perspectives of adults aged 21 to 40.
22. Analysis shows that maximum of the respondents agreed that they
searched online for others comments when they buy fashion
products.
24. Analysis also showed that people like to share their feedback on
social media.
25. It could be seen that people agreed that they were influenced by the
advertisements and brand endorsements.
27. Data analysis further showed that respondents believed that social
media helps in acquiring information about fashion trends.
28. Research showed that people agreed that they can easily find the
latest updates about their fashion choices on social media.
30. It was also observed that people agreed that they follow the latest
fashion trends from social media.
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31. Furthermore, the data reveals that among the 222 respondents, 40%
maintain a neutral stance concerning the impact of Electronic Word
of Mouth (E-WOM) messages on others' opinions, while 33% firmly
agree that E-WOM influences buyer opinions.
33. Lastly, it is worth noting that most respondents concur that social
media serves as a valuable source of information on the latest trends
and has a consequential effect on the brand equity of products.
34. The analysis of the MLR provided that the trendiness had the score
of 0.666709 which provided that it had a strong positive correlation
and the value was significant.
35. EWOM has the value of 0.497140 which showed a weak positive
correlation. However, the value was significant.
36. Trust accounted for a value of 0.730964 which provided for strong
positive correlation and value was significant.
37. Content Sharing had a value of 0.729540 which had a strong positive
correlation which significant.
40. It was also observed that out of the five independent variables trust
and content sharing is having significant high positive correlation of
around ~72% with the dependent variable social media. Means if
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there is increase in the value of trust or content sharing it will
directly increase the brand equity by 72%.
42. All the independent variable had significant positive impact in the
prediction of dependent variable.
43. Variable trendiness has the significant impact upon the dependent
variable brand equity by the value of 0.081 means with the increase
of the trendiness by 1 unit it will significantly increase the value of
brand equity by 0.081 units.
44. Also, trust is also having the significant impact upon the brand
equity of the products in the fashion industry by 0.452 units.
46. People trust towards the social media is making more impact in
building brand equity as they tried to do more analysis by sharing the
contents in the form of a blog or reviews towards the product.
47. Latest trending clothes or fashion articles are playing the vital role in
building the brand equity of the products in fashion industry as
people are mostly care about the latest fashion trends and use the
social media information to convert into purchasing.
48. The examination of hypothesis one (H1) revealed that trust indeed
plays a substantial role in shaping brand equity. In support of this,
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the Multiple Regression Analysis indicated that the value was
statistically significant (p = 0.000 < 0.05).
49. The examination of hypothesis two (H2) revealed that the influence
of trendiness on brand equity is statistically significant based on the
Multiple Regression Analysis (p = 0.009 < 0.05).
50. The examination of hypothesis three (H3) revealed that the effect of
Electronic Word of Mouth (EWOM) on brand equity is not
statistically significant according to the Multiple Regression
Analysis (p = 0.090 > 0.05).
51. The p-value for the trust variable is 0.000, which is less than 0.05.
This indicates that trust has a statistically significant impact on
building brand equity in the fashion industry for fashion products.
Therefore, we reject the null hypothesis and accept the alternative
hypothesis.
52. The p-value for the trendiness variable is 0.009, which is also less
than 0.05. This suggests that trendiness has a statistically significant
impact on building brand equity for fashion products in the fashion
industry. Consequently, we reject the null hypothesis and accept the
alternative hypothesis.
53. In contrast, the p-value for the EWOM variable is 0.090, exceeding
the 0.05 threshold. This implies that Electronic Word of Mouth
(EWOM) does not have a statistically significant impact on building
brand equity for fashion products in the fashion industry.
54. The p-value for the perceived value variable is 0.002, less than 0.05.
This indicates that content sharing does indeed have a statistically
significant impact on building brand equity for fashion products in
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the fashion industry. As such, we reject the null hypothesis and
accept the alternative hypothesis.
55. Conversely, the p-value for the purchasing decision variable is 0.79,
which is greater than 0.05. This suggests that the purchasing decision
does not possess a statistically significant impact on building brand
equity for fashion products in the fashion industry. Thus, we accept
the null hypothesis and reject the alternative hypothesis.
Features like live streaming and stories offer real-time connections with
the audience. Brands can effectively utilize these features for product
launches, behind-the-scenes glimpses, and interactive sessions, thereby
heightening brand awareness.
Lastly, these platforms offer robust data and analytics tools, granting
brands insights into the performance of their campaigns. This invaluable
data facilitates the refinement of strategies and the continuous
improvement of brand awareness efforts over time.
In the context of the fashion industry, where aesthetics, trends, and visual
appeal are paramount, the impact of social media on brand awareness is
profound. Social media presents a dynamic and engaging platform for
fashion brands to connect with their audience, narrate their visual story,
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and foster consumer engagement. As social media continues to evolve
and introduce new features, fashion brands adeptly adapt their strategies
to uphold and expand brand awareness within this digital landscape.
6.3 Limitations
1. Social media marketing is not to be newly known concept and it
keeps on changing and revolving around. Therefore, there are
enormous journals/articles relevant at this point towards topic but
only very few articles help to relate social media with different
challenges in consumer behaviour.
2. The size of Data sample that was taken is quite small and from NCR
(Greater Noida) region therefore it depicts very limited
generalization about the study concluded. Sample size must be rather
increased in order to cover more population inside the society and
helps to develop a realistic and accuracy of results.
3. The people who does participation into this survey was basically
from Greater Noida, but the same theory can be applied on a broader
margin by doing accurate collection of data from different states and
part of the globe for fetching a smooth understanding of the
influence which social media is sharing on consumer buying process.
6. Into this study the level of focus have been shortened down and
research contains the information related to objectives.
7. The collection of data was made from the sample taken out of the
population who are readily available to share their responses that is
counted perfectly and are available in order to do their participation
in study. This may also leads to a biasness and also might be an
unauthentic representation of the sample taken from population.