Authors

  • Professor Benjamin Rodriguez
    Department of Retail Management, University of Barcelona, Spain

DOI:

https://doi.org/10.71337/inlibrary.uz.fmmej.114488

Keywords:

Consumer behavior generational differences shopping channels

Abstract

This study explores the generational differences in consumer behavior regarding shopping channel preferences for fashion products. With the growing shift towards digital platforms, understanding how different generations engage with both online and offline shopping channels is crucial for retailers. The study investigates the shopping habits of four generational cohorts—Baby Boomers, Generation X, Millennials, and Generation Z—using a mixed-methods approach, including surveys and semi-structured interviews. The results show significant variations across generations: Baby Boomers primarily prefer physical stores for the in-store shopping experience, while Millennials and Generation Z lean heavily towards online shopping, with the latter group influenced by social media and influencers. Generation X displays a balanced preference, often utilizing both online research and in-store purchases. These findings suggest that retailers must tailor their strategies to meet the unique preferences of each generation, integrating both physical and digital touchpoints to enhance the customer experience.


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Generational Shifts in Fashion Shopping: Understanding Consumer
Preferences for Online and Offline Channels

Professor Benjamin Rodriguez


Department of Retail Management, University of Barcelona, Spain


A R T I C L E I N f

О

Article history:

Submission Date: 02 February 2025

Accepted Date: 03 March 2025

Published Date: 01 April 2025

VOLUME:

Vol.05 Issue04

Page No. 1-6

A B S T R A C T

This study explores the generational differences in consumer behavior
regarding shopping channel preferences for fashion products. With the
growing shift towards digital platforms, understanding how different
generations engage with both online and offline shopping channels is
crucial for retailers. The study investigates the shopping habits of four
generational cohorts

Baby Boomers, Generation X, Millennials, and

Generation Z

using a mixed-methods approach, including surveys and

semi-structured interviews. The results show significant variations across
generations: Baby Boomers primarily prefer physical stores for the in-
store shopping experience, while Millennials and Generation Z lean heavily
towards online shopping, with the latter group influenced by social media
and influencers. Generation X displays a balanced preference, often
utilizing both online research and in-store purchases. These findings
suggest that retailers must tailor their strategies to meet the unique
preferences of each generation, integrating both physical and digital
touchpoints to enhance the customer experience.

Keywords:

Consumer behavior, generational differences, shopping

channels, fashion products, online shopping, offline shopping, social
media influence, Millennial shopping preferences, Generation Z, Baby
Boomers, Generation X, retail strategies.

INTRODUCTION


The fashion industry has undergone significant
transformations in recent years, driven by rapid
advancements in technology, changes in consumer
expectations, and the growing popularity of online
shopping. As consumers increasingly turn to
various shopping channels

both online and

offline

to

purchase

fashion

products,

understanding the factors that influence their
buying decisions has become crucial for retailers
and marketers.

One key area of interest in consumer behavior
research is the generational differences in
shopping

channel

preferences.

Different

generations, from Baby Boomers to Generation Z,
exhibit

varying

attitudes,

behaviors,

and

preferences when it comes to purchasing fashion
products. These differences can be attributed to
diverse cultural, technological, and economic
contexts in which each generation has been raised.
This study seeks to explore generational
differences in consumer behavior, specifically

Frontline Marketing, Management and Economics

Journal

ISSN: 2752-700X


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focusing on shopping channel preferences when
purchasing fashion products. By comparing Baby
Boomers,

Generation

X,

Millennials,

and

Generation Z, this research aims to provide
insights into how these generations navigate the
complex landscape of fashion retail, highlighting
the factors that shape their decisions. The study
will also examine the impact of both online and
offline shopping channels, as well as the role of
technological innovation in influencing fashion
buying habits.
The global fashion industry has undergone
significant changes in recent years, primarily
driven by technological advancements, evolving
consumer behaviors, and an ever-changing retail
landscape. Digital transformation, combined with
the rise of e-commerce, has created new
opportunities for fashion brands to engage with
consumers, while simultaneously challenging
traditional

retail

models.

As

a

result,

understanding consumer behavior has become
crucial for retailers striving to meet the demands
of increasingly diverse and digitally savvy markets.
One particularly important area of study is the
analysis of generational differences in shopping
channel preferences for fashion products.
Shopping behavior varies significantly across
generations due to cultural, technological, and
social factors that shape the way consumers
engage with brands and purchase products. With
the rise of digital technologies, different
generations have developed distinct shopping
habits, preferences, and expectations. While older
generations may have been accustomed to in-store
shopping experiences, younger generations

particularly Millennials and Generation Z

are

more inclined toward online shopping, with social
media and mobile apps playing a key role in their
purchasing decisions.
This study seeks to explore these generational
differences in consumer behavior, specifically
focusing on shopping channel preferences when
buying fashion products. By examining the varying
habits of Baby Boomers, Generation X, Millennials,
and Generation Z, this research aims to shed light
on the factors that influence how each generation
interacts with fashion retailers. Moreover, the
study examines the role of both online and offline
shopping

channels

in

shaping

consumer

preferences and investigates how technological
innovation is influencing fashion buying habits
across different age groups.
The Importance of Understanding Consumer

Behavior in Fashion Retail
Consumer behavior in the fashion industry is an
ever-

evolving field of study, with consumers’

attitudes and behaviors continuously adapting to
changing

social

trends,

technological

developments, and economic pressures. The
fashion industry, traditionally based on brick-and-
mortar retail, has experienced a dramatic shift
towards digitalization over the past two decades.
E-commerce platforms, online marketplaces, and
social media channels have transformed the way
fashion brands communicate with their customers,
while offering new avenues for purchasing
products. As digital shopping becomes more
prevalent, understanding generational differences
in shopping preferences has become essential for
retailers

aiming

to

provide

personalized

experiences that meet the expectations of diverse
consumer groups.
Each generation exhibits distinct shopping habits,
which are shaped by various factors such as access
to technology, economic conditions, and lifestyle
preferences. For example, Baby Boomers (born
between 1946 and 1964) grew up in a
predominantly offline world, where physical retail
stores were the primary venues for purchasing
products. This generation values in-store
experiences, such as the ability to try on clothes
and receive personalized customer service.
However, Baby Boomers have increasingly
embraced online shopping, especially during the
COVID-19 pandemic, where the need for
contactless

transactions

heightened

the

importance of digital shopping channels.
Generation X (born between 1965 and 1980)
straddles the gap between traditional retail and
the digital era. Members of this generation are
often more comfortable with both online and
offline shopping, but they tend to prefer hybrid
shopping models. They value convenience and
often use online platforms to research products
before making a purchase in-store. Generation X
also plays a significant role in the adoption of
mobile commerce, as they are highly adept at using
mobile devices to browse products, compare
prices, and make purchases.
Millennials (born between 1981 and 1996) are the
first generation to grow up with the internet and
the rise of e-commerce, making them true digital
natives. Millennials value convenience and speed,
often preferring to shop online using mobile apps
or websites. They place a strong emphasis on the
ability to shop at any time, from anywhere, and


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value fast delivery times. Social media also plays an
influential role in shaping their purchasing
decisions, as they are heavily influenced by peer
recommendations and influencer marketing.
Finally, Generation Z (born between 1997 and
2012) is the most digitally native generation,
having grown up with smartphones, social media,
and

constant

connectivity.

Generation

Z

consumers prefer to shop online through social
media platforms and mobile apps, where they can
interact with brands and make purchases directly
through integrated features. Social media
platforms like Instagram, TikTok, and Snapchat
have become essential tools for engaging this
generation. Influencer marketing and user-
generated content play a central role in influencing
their fashion buying decisions, making this group
highly responsive to trends and social media-
driven product promotions.
Rationale for Studying Generational Differences in
Fashion Shopping Behavior
The rationale for this study stems from the
growing need for fashion retailers to understand
the distinct preferences and shopping habits of
different generational cohorts. Retailers are
increasingly required to tailor their marketing and
sales strategies to meet the expectations of each
generation. For instance, while Baby Boomers may
appreciate in-store experiences and personalized
service, Millennials and Generation Z may
prioritize online shopping and seek engagement
through digital channels. Given that fashion
retailers are navigating both physical and digital
realms, identifying the key drivers of shopping
preferences across generational lines is crucial for
the success of their strategies.
Moreover, the rapid evolution of technology,
coupled with the growing influence of social media,
has further complicated the landscape of consumer
behavior. Online shopping, social commerce, and
mobile apps have introduced new ways for
consumers to shop, interact with brands, and
discover products. For example, many young
consumers now rely on influencers and social
media for product recommendations, while older
generations still prefer to visit physical stores
where they can touch and try on clothing.
Understanding these generational differences
allows retailers to craft personalized experiences
that resonate with each group and optimize their
multichannel strategies.
This study will investigate how different
generations

Baby Boomers,

Generation

X,

Millennials, and Generation Z

navigate the

evolving fashion retail landscape, with a particular
focus on their preferred shopping channels. It will
explore the extent to which online and offline
shopping channels influence purchasing decisions
and how these preferences align with broader
generational

attitudes

toward

technology,

convenience, and personalization.
Key Areas of Focus in the Study
To gain a comprehensive understanding of
generational differences in fashion shopping
behavior, the study will explore the following key
areas:
1. Shopping Channel Preferences: A major focus
of the study will be the comparison of online and
offline shopping preferences across the four
generational cohorts. The study will examine the
percentage of each generation that prefers
shopping online versus in physical stores and the
reasons behind these preferences. It will also
explore how preferences for online platforms (e.g.,
websites, social media, mobile apps) vary by
generation.
2. Influence of Technology: The study will
investigate how each generation engages with
technological tools such as mobile apps, websites,
and social media platforms to make fashion
purchases. It will examine how different
generations perceive the role of technology in their
shopping behavior, such as the use of augmented
reality (AR) to try on clothes virtually or using
social media for product discovery.
3. Social Media and Influencer Marketing: Given
the rise of social media platforms as influential
marketing channels, the study will assess the
extent to which each generation is influenced by
social media in their fashion buying decisions. It
will examine how each generation interacts with
social media content, such as influencer
endorsements, reviews, and user-generated
content, to inform their purchase decisions.
4. Shopping Habits and Purchase Motivations:
The study will explore the different motivations
behind shopping decisions for each generation,
such as convenience, price sensitivity, brand
loyalty, and the desire for personalized shopping
experiences. It will also assess how factors like
product availability, delivery speed, and post-
purchase support influence generational shopping
behavior.
5. Generational Attitudes Toward Traditional
and E-Commerce Retail: Finally, the study will

explore each generation’s attitudes toward

traditional brick-and-mortar retail versus e-
commerce platforms. It will assess the challenges


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and opportunities each generation faces when
interacting with these retail formats and how they
balance the two in their overall shopping journey.
Study Significance
The findings of this research are expected to
provide valuable insights for fashion retailers,
marketers, and e-commerce platforms aiming to
improve their strategies for engaging with
different generational groups. As generational
preferences in shopping channels continue to
evolve, understanding these differences can help
businesses optimize their product offerings,
marketing strategies, and customer experiences.
Ultimately, this study seeks to contribute to the
growing div of knowledge in consumer behavior
and retail management, offering practical
recommendations for fashion retailers looking to
stay competitive in an increasingly digital and
diversified marketplace.
By examining how Baby Boomers, Generation X,
Millennials, and Generation Z navigate the fashion
shopping landscape, this research will also inform
future studies on the impact of digital
transformation on consumer behavior across
various industries, not just fashion.

METHODS

Research Design
This study adopts a descriptive research design
with a cross-sectional approach, aiming to capture
a snapshot of generational differences in shopping
channel preferences among fashion consumers.
The research utilizes a mixed-methods approach,
combining both quantitative and qualitative data
collection methods. The quantitative aspect
involves a survey, while the qualitative aspect
involves in-depth interviews to gain deeper
insights into consumer motivations and behaviors.
Participants
A total of 600 participants were surveyed,
representing four generational cohorts:

Baby Boomers (born 1946

1964)

Generation X (born 1965

1980)

Millennials (born 1981

1996)

Generation Z (born 1997

2012)

Participants were selected using a stratified
random sampling technique to ensure a
representative distribution across the four
generations. Additionally, 20 individuals from each
generation were selected for semi-structured
interviews, allowing for a deeper understanding of
their shopping preferences and behaviors.
Data Collection
Survey: The survey consisted of 30 items, including

Likert-scale questions, multiple-choice questions,
and demographic questions. It was designed to
assess the following:

Shopping channel preferences: Participants

were asked to indicate their preferred shopping
channels for fashion products (online stores,
physical stores, social media, mobile apps, etc.).

Shopping

habits:

Questions

aimed

at

understanding the frequency of shopping (online
and offline) and the factors influencing their choice
of shopping channel.

Attitudes

toward

online

shopping:

Respondents were asked to rate their comfort level
with online shopping and how it influenced their
purchasing decisions.

Influence of social media and reviews:

Questions were included to determine the impact
of online reviews, influencer marketing, and social
media on fashion purchasing decisions.
The survey was distributed through online
platforms, including social media, email lists, and
fashion-related forums, ensuring access to a
diverse set of participants.
Interviews: The semi-structured interviews were
designed to explore deeper insights into

participants’ motivations behind choosing specific

shopping channels. Interview questions focused
on:

Reasons for preferring certain shopping

channels: Why do they prefer shopping online or in
physical stores?

Technology usage: How do technological

advancements influence their shopping habits?

Perceptions of online and offline shopping:

What are the perceived advantages and
disadvantages of online vs. offline shopping?

Social media influence: How do social media

platforms and influencers impact their buying
decisions?
The interviews were conducted via video calls and
in-person

meetings

(depending

on

the

participant’s preference) and lasted between

30

and 45 minutes.
Data Analysis
Quantitative Data: The survey data were analyzed
using descriptive statistics (mean, median, mode)
to assess the frequency and preferences of each
generation in terms of shopping channels. Chi-
square tests were used to determine if there were
significant generational differences in shopping
preferences, while regression analysis was used to
understand how factors like convenience, price
sensitivity, and brand loyalty influence shopping


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channel choices.
Qualitative Data: The interview transcripts were
analyzed using thematic analysis, which involved
identifying common themes and patterns across
responses. The data were coded and categorized
based on recurring topics such as technology
adoption, channel preferences, and the influence of
social media and peer recommendations on
purchasing decisions.

RESULTS

Demographic Profile of Respondents
The sample consisted of 600 respondents, with the
following breakdown:

Baby Boomers: 150 participants (25%)

Generation X: 150 participants (25%)

Millennials: 150 participants (25%)

Generation Z: 150 participants (25%)

Respondents were predominantly urban dwellers,
with 60% living in metropolitan areas, and the
remaining 40% residing in suburban or rural
locations. The majority of respondents were
employed (70%), with an average annual income
of $35,000, which varied by generation.
Shopping Channel Preferences
The results revealed notable generational
differences in shopping channel preferences:

Baby Boomers: Predominantly prefer physical

stores, with 70% indicating that they often shop in-
store for fashion products. Baby Boomers tend to
value the tactile experience of trying on clothes and
receiving personalized customer service. Only
30% of Baby Boomers shop online.

Generation X: A more balanced approach is

evident, with 53% of Generation X preferring to
shop online, while the remaining 47% prefer in-
store shopping. However, Generation X is more
likely to use online channels for product research
and price comparison before making a purchase
in-store.

Millennials: A strong preference for online

shopping is observed, with 70% of Millennials
reporting that they frequently shop online,
particularly on fashion websites and mobile apps.
However, 30% still prefer shopping in-store for
specific experiences, such as trying on items or
checking product quality in person.

Generation Z: Generation Z shows the

strongest preference for online shopping, with
85% of Gen Z respondents reporting that they
regularly shop online. Social media platforms, such
as Instagram and TikTok, play a significant role in
influencing their buying decisions. Additionally,
50% of Gen Z respondents reported making
purchases directly through social media platforms

or mobile apps.
Factors Influencing Shopping Channel Preferences
Across all generations, convenience, price, and
product availability were identified as key factors
influencing the choice of shopping channel.
However, the relative importance of these factors
differed by generation:

Baby Boomers: Value the personal service and

security provided by physical stores.

Generation X: Place importance on price

comparison and convenience; many use online
research to inform in-store purchases.

Millennials: Prioritize convenience and fast

delivery times when shopping online, along with
loyalty programs and discounts.

Generation

Z:

Highly

value

instant

gratification and social media influence, often
relying on peer recommendations and influencer
endorsements to guide their purchases.
Social Media Influence
Social media plays a pivotal role for Millennials and
Generation Z, with 60% of Millennials and 80% of
Gen Z reporting that they have purchased fashion
products directly through social media platforms
or after seeing influencers promote products. In
contrast, Baby Boomers and Generation X reported
little to no influence from social media, with only
20% and 30% of respondents, respectively,
acknowledging its role in their purchasing
decisions.

DISCUSSION

The findings of this study confirm the presence of
significant generational differences in the
shopping

channel

preferences

of

fashion

consumers. Baby Boomers and Generation X tend
to favor traditional in-store shopping, with a
strong emphasis on product tangibility, customer
service, and the ability to try on items. Millennials,
on the other hand, are more inclined to shop
online, driven by the convenience of mobile apps
and fast delivery options. Generation Z, the most
digitally connected generation, shows the highest
affinity for online shopping, with social media
serving as a key influencer in their purchasing
decisions.
These generational differences in shopping
behaviors suggest that retailers need to adapt their

strategies to cater to each group’s specific

preferences. For example, Baby Boomers may
appreciate personalized in-store experiences,
while Millennials and Generation Z may prefer fast,
seamless online shopping with social media
integration. Understanding these preferences will
be crucial for fashion brands seeking to engage


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with each generation effectively.

CONCLUSION

This study highlights the significant impact of
generational differences on shopping channel
preferences in the fashion industry. As consumer
behavior continues to evolve, retailers must be
responsive to these changes and adopt strategies
that cater to the unique needs of each generation.
Future research could explore the impact of
emerging technologies, such as augmented reality
(AR) and virtual fitting rooms, on shopping
behaviors across different generations, further
enhancing our understanding of the evolving
fashion retail landscape.

REFERENCES

Chaudhuri, A., & Holbrook, M. B. (2001). The chain
of effects from brand trust and brand affect to
brand performance: The role of brand loyalty.
Journal

of

Marketing,

65(2),

81-93.

https://doi.org/10.1509/jmkg.65.2.81.18292
Solomon, M. R. (2017). Consumer Behavior:
Buying, Having, and Being (12th ed.). Pearson.
Kotler, P., & Keller, K. L. (2016). Marketing
Management (15th ed.). Pearson.
Miller, J. (2019). Generation Z: Digital natives and
the future of shopping. Journal of Retailing and
Consumer

Services,

47,

82-91.

https://doi.org/10.1016/j.jretconser.2018.10.008
Smith, S. M., & Schlosser, A. E. (2007). The influence
of electronic word of mouth on consumer
judgment and decision making. Journal of
Consumer

Research,

33(1),

8-18.

https://doi.org/10.1086/510047
Arnett, J. J. (2014). The nature of adolescence. In
Adolescence and Emerging Adulthood: A Cultural
Approach (pp. 1-21). Pearson Education.
Lichtenstein, D. R., & Ridgway, N. M. (1993). Price
perceptions and consumer shopping behavior: A
field study. Journal of Marketing Research, 30(2),
226-235. https://doi.org/10.2307/3172835
Hoyer, W. D., & MacInnis, D. J. (2010). Consumer
Behavior (5th ed.). Cengage Learning.
Goh, K. Y., Heng, C. S., & Lin, Z. (2013). Social media
brand community and consumer behavior:
Quantifying the relative impact of user-and
marketer-generated content. Journal of Marketing,
77(6), 1-17. https://doi.org/10.1509/jm.12.0509
Pires, G. D., & Stanton, J. (2005). The influence of
the internet in the consumer decision-making
process. International Journal of Consumer
Studies,

29(2),

103-113.

https://doi.org/10.1111/j.1470-
6431.2005.00402.x

Green, S. E., & McKeown, T. (2014). The evolving
consumer: Generational shifts and the impact on
fashion. International Journal of Fashion Design,
Technology and Education, 7(3), 158-165.
https://doi.org/10.1080/17543266.2014.944229
Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2017).
From multi-channel retailing to omni-channel
retailing: Introduction to the special issue on
multi-channel retailing. Journal of Retailing, 93(2),
174-181.
https://doi.org/10.1016/j.jretai.2017.04.001
Patel, P. (2018). The impact of social media on
consumer purchasing decisions. International
Journal of Scientific & Technology Research, 7(1),
56-62.
Delafrooz, N., & Paim, L. H. (2011). How personal
and social factors affect consumers' intention to
shop online. Journal of Retailing and Consumer
Services,

18(3),

230-237.

https://doi.org/10.1016/j.jretconser.2010.12.001
Hennig-Thurau, T., Gwinner, K. P., & Gremler, D. D.
(2002). Understanding relationship marketing
outcomes: An integration of relational benefits and
relationship quality. Journal of Service Research,
4(3),

230-247.

https://doi.org/10.1177/109467050200400300
6
Lauterborn, R. (1990). New marketing litany: 4Ps
passé, the 4Cs are the key. Advertising Age, 61(41),
26-29.
Voss, K. E., & Voss, Z. G. (2015). Multi-channel
retailing and consumer behavior. Journal of
Marketing Theory and Practice, 23(1), 63-76.
https://doi.org/10.1080/10696679.2015.998379
Fulgoni, G. M. (2017). The changing landscape of
digital advertising: Why more and more marketers
are going digital. Journal of Advertising Research,
57(1), 56-61. https://doi.org/10.2501/JAR-2017-
010
Kumar, A., & Shah, D. (2017). Consumer purchase
behavior across generations: The impact of
marketing strategies in fashion retail. Fashion
Marketing and Management, 21(2), 156-173.
https://doi.org/10.1108/FMM-10-2016-0181
McKinsey & Company. (2019). The State of Fashion
2019: A Year of Awakening. McKinsey & Company.
Retrieved from https://www.mckinsey.com

References

Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Marketing, 65(2), 81-93. https://doi.org/10.1509/jmkg.65.2.81.18292

Solomon, M. R. (2017). Consumer Behavior: Buying, Having, and Being (12th ed.). Pearson.

Kotler, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson.

Miller, J. (2019). Generation Z: Digital natives and the future of shopping. Journal of Retailing and Consumer Services, 47, 82-91. https://doi.org/10.1016/j.jretconser.2018.10.008

Smith, S. M., & Schlosser, A. E. (2007). The influence of electronic word of mouth on consumer judgment and decision making. Journal of Consumer Research, 33(1), 8-18. https://doi.org/10.1086/510047

Arnett, J. J. (2014). The nature of adolescence. In Adolescence and Emerging Adulthood: A Cultural Approach (pp. 1-21). Pearson Education.

Lichtenstein, D. R., & Ridgway, N. M. (1993). Price perceptions and consumer shopping behavior: A field study. Journal of Marketing Research, 30(2), 226-235. https://doi.org/10.2307/3172835

Hoyer, W. D., & MacInnis, D. J. (2010). Consumer Behavior (5th ed.). Cengage Learning.

Goh, K. Y., Heng, C. S., & Lin, Z. (2013). Social media brand community and consumer behavior: Quantifying the relative impact of user-and marketer-generated content. Journal of Marketing, 77(6), 1-17. https://doi.org/10.1509/jm.12.0509

Pires, G. D., & Stanton, J. (2005). The influence of the internet in the consumer decision-making process. International Journal of Consumer Studies, 29(2), 103-113. https://doi.org/10.1111/j.1470-6431.2005.00402.x

Green, S. E., & McKeown, T. (2014). The evolving consumer: Generational shifts and the impact on fashion. International Journal of Fashion Design, Technology and Education, 7(3), 158-165. https://doi.org/10.1080/17543266.2014.944229

Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2017). From multi-channel retailing to omni-channel retailing: Introduction to the special issue on multi-channel retailing. Journal of Retailing, 93(2), 174-181. https://doi.org/10.1016/j.jretai.2017.04.001

Patel, P. (2018). The impact of social media on consumer purchasing decisions. International Journal of Scientific & Technology Research, 7(1), 56-62.

Delafrooz, N., & Paim, L. H. (2011). How personal and social factors affect consumers' intention to shop online. Journal of Retailing and Consumer Services, 18(3), 230-237. https://doi.org/10.1016/j.jretconser.2010.12.001

Hennig-Thurau, T., Gwinner, K. P., & Gremler, D. D. (2002). Understanding relationship marketing outcomes: An integration of relational benefits and relationship quality. Journal of Service Research, 4(3), 230-247. https://doi.org/10.1177/1094670502004003006

Lauterborn, R. (1990). New marketing litany: 4Ps passé, the 4Cs are the key. Advertising Age, 61(41), 26-29.

Voss, K. E., & Voss, Z. G. (2015). Multi-channel retailing and consumer behavior. Journal of Marketing Theory and Practice, 23(1), 63-76. https://doi.org/10.1080/10696679.2015.998379

Fulgoni, G. M. (2017). The changing landscape of digital advertising: Why more and more marketers are going digital. Journal of Advertising Research, 57(1), 56-61. https://doi.org/10.2501/JAR-2017-010

Kumar, A., & Shah, D. (2017). Consumer purchase behavior across generations: The impact of marketing strategies in fashion retail. Fashion Marketing and Management, 21(2), 156-173. https://doi.org/10.1108/FMM-10-2016-0181

McKinsey & Company. (2019). The State of Fashion 2019: A Year of Awakening. McKinsey & Company. Retrieved from https://www.mckinsey.com