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The media and consumer research groups have been keeping the Millennials in spotlight for many years now; perhaps it is time to turn some of the attention on Gen Z, which began its foray into mainstream consumption. This exploratory study examines the shopping orientation of Gen Z online shoppers using the generational cohort theory (GCT) as a framework and provides insights to e-retailers to understand how this generation approaches the online shopping. The penetration of Internet and accelerated growth of online shopping have enthused the e-retailers to offer a wide range of goods at greater efficiency than the traditional players. By cluster analysis (K-means) of nine online shopping orientation factors (two were eliminated prior due to low factor loading scores), four segments were identified: (a) ‘Economic-quality seekers’, (b) ‘Convenience shoppers’, (c) ‘Deal hunting-convenience seekers’ and (d) ‘Brand and quality conscious shoppers’, and the study profiled each segment based on the demographic data through chi-square analysis. Finally, implications for online retailers and marketing practitioners are enumerated towards the end of the article.
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Original Article
Consumer Decision-making Style
of Gen Z: A Generational
Cohort Analysis
Packiaraj Thangavel1
Pramod Pathak1
Bibhas Chandra1
The media and consumer research groups have been keeping the Millennials in spotlight for many years
now; perhaps it is time to turn some of the attention on Gen Z, which began its foray into mainstream
consumption. This exploratory study examines the shopping orientation of Gen Z online shoppers
using the generational cohort theory (GCT) as a framework and provides insights to e-retailers to
understand how this generation approaches the online shopping. The penetration of Internet and
accelerated growth of online shopping have enthused the e-retailers to offer a wide range of goods
at greater efficiency than the traditional players. By cluster analysis (K-means) of nine online shopping
orientation factors (two were eliminated prior due to low factor loading scores), four segments were
identified: (a) ‘Economic-quality seekers’, (b) ‘Convenience shoppers’, (c) ‘Deal hunting-convenience
seekers’ and (d) ‘Brand and quality conscious shoppers’, and the study profiled each segment based on
the demographic data through chi-square analysis. Finally, implications for online retailers and marketing
practitioners are enumerated towards the end of the article.
Generation Z, consumer behaviour, shopping style inventory, generational cohort, e-commerce,
customer profiling, Asia
The digital revolution has influenced the life of all the generations, especially Gen Y and Z. The
emergence of Internet, Smart devices and Social media brought in new approaches to life and changed
the way people reach out to each other and the shopping-related decisions they make (Iorgulescu, 2016;
Singh, Chaudhuri, & Verma, 2017; Turner, 2015). This study aims to segment Gen Z (the generation
Global Business Review
© 2019 IMI
Reprints and permissions:
DOI: 10.1177/0972150919880128
1 Department of Management Studies, Indian Institute of Technology (ISM), Dhanbad, Jharkhand, India.
Corresponding author:
Packiaraj Thangavel, Doctoral student, Department of Management Studies, Indian Institute of Technology (ISM), Dhanbad, Jharkhand
826004, India.
2 Global Business Review
after the Millennials) online shoppers into unique shopping orientation groups and establish a profile for
each of them. Shopping behaviour of today’s young generation tends to be quite different from that of
preceding generations owing to the constant political, cultural and socio-economic changes that occur in
the society as a continuum (Delafrooz, Paim, & Khatibi, 2010). As the use and popularity of e-commerce
continues to increase, the question of why the young consumers prefer to buy on the Internet needs to be
understood. Moreover, the recent researches by Puiu (2016) and Desai and Lele (2017) established that
Gen Z exhibits different consumer values, preferences and ideas from those of earlier generations;
therefore identifying the consumption characteristics of Gen Z is essential. Further, understanding who
shops online and what drives them to do so have been important and challenging questions for both
marketing practitioners and academics (Rehman, 2017). Shopping orientations or shopping style
inventory have been found to be reliable predictors of consumers’ buying behaviour in physical retail
formats such as mall shopping and catalogue shopping (Gehrt & Shim, 1998). Additionally, many studies
have been carried out in the past to predict the shopping behaviour of Gen X and Millennials (otherwise
referred to as Gen Y) using the shopping style inventory (Shopping orientations) in the e-commerce
platform too (e.g., Girard, Korgaonkar, & Silverblatt, 2003; Loureiro & Breazeale, 2016; Vijayasarathy
& Jones, 2000). Against this backdrop, this study employs a tool—shopping style inventory—to segment
and profile Gen Z E-shoppers. Further, the study of Kantar Millward Brown (Multinational market
research firm) also asserted that Gen Z have adopted different media consumption and shopping values
compared to that of Millennials (Southgate, 2017). Despite this compelling opportunity, there is paucity
of research focusing on Generation Z. Therefore, it is expected that the exploration of shopping orientation
of emerging consumer group, that is, Gen Z in the e-commerce platform could bring out new implications
to the practitioners and contribute to the existing literature. This article is organized as follows: After the
introduction, the article critically reviews the literature on generational cohort theory (GCT), Gen Z,
existing researches on shopping style inventory and the status of online shopping in Asia and India. The
second section deals with rationale of the study and its propositions. We then describe our methodology
and research findings. Finally, conclusion and managerial implications are drawn.
Review of Literature
Generational Cohort Theory
This study brings together two areas of literature, that is, GCT and shopping orientation to explore the
online shopping behaviour of Gen Z. Generation is denoted as an ‘identifiable sect of people who share
common birth years, experience similar life events and grow up in comparably alike environment with
equal resources, opportunities and challenges’ (Krbová & Pavelek, 2015; Kupperschmidt, 2000;
Seemiller & Grace, 2017). As each generation matures through such identical events and exposures, they
tend to develop uniform belief system, values and personality traits that differ from that of preceding and
succeeding generations. This generational difference is also believed to be impacting the communication
style, knowledge, skills and all other aspects of life including socializing and purchasing (Howe &
Strauss, 1992; Srinivasan, 2012). Often, generational studies are criticized as an upper middle-class
phenomenon and fail to reflect the true essence of the society. However, the study of Anderson and Jiang
(2018) found that 90 per cent of the youngsters (Gen Z) from median and below median income families
have Smartphones and their preference to shop online is in increasing trend (Anderson & Jiang, 2018).
Looking at these statistics, we can assert that access to the technology is no more restricted only to upper
class individuals and the differences in the society are closing down.
Thangavel et al. 3
Generation Z
Gen Z is the generation after the Millennials, often referred as iGeneration, Post-Millennials, Gen Wii or
NextGen (Raphelson, 2014; Turner, 2015). There is a considerable dispute and debate about the definition
of this generation. Demographers place its beginning anywhere from early 1990s to until 2000 (Addor,
2011; Iorgulescu, 2016; Seemiller & Grace, 2017; Tulgan, 2013). Gen Z are the descendants of Baby
boomers and a fraction of them have Millennials as their parents too. Almost a third of this generation
was born with Internet-technology and ‘being virtually connected’ was the way it had always been for
them (Kebritchi & Sharifi, 2016; Turner, 2015). The revolution of web and the unprecedented access to
information have equipped them to understand the global imperatives (Rehman, 2017). This generation
is uniquely diverse than any other preceding generations in the USA (Shatto & Erwin, 2016). The
Accenture (2017) survey states that social media has greater influence on Gen Z than it does on Gen Y,
and three factors based on which Gen Z consumers generally make purchase decisions: lowest price/best
deal, display of the merchandise and reviews of users. They were also found to be placing greater
emphasis on turning to friends and family members for their suggestions before deciding what to buy
(Accenture, 2017). The study conducted by Ernst and Young (2015) compared the online shopping
behaviour of Millennials (Gen Y) and Gen Z. The results portrayed that Gen Z is less brand loyal than
Gen Y, whereas Gen Y cares more about prices than Gen Z does. It is slightly contradictory to the
findings of Accenture study (2017). Further, Seemiller and Grace (2017) stated in their study that while
Generation Z shares some characteristics with Millennials, it is quite a different generational cohort with
its own specifics and characteristics. This young generation is ‘the next big disrupter for apparel and
retail industry’ according to a Women’s wear daily and they are also widely perceived and reported as
possessing great purchasing power due to the widespread opportunities opened up by digitalization and
globalization of economies, and it is estimated that they would constitute about 40 per cent of all
consumers globally and 22 per cent of the workforce world over by the year 2020 (Lanvin & Evans,
2016). Though they seem to be such a potential segment, research on Generation Z remains thin and
there is lot to be explored about them (Chillakuri & Mahanandia, 2018; Haddouche & Salomone, 2018).
Shopping Orientation or Purchase Decision-Making Style
A consumer’s predisposition to the function of shopping can be referred as shopping orientation and it is
otherwise known as ‘purchase decision-making style’. It is defined by Sprotles and Kendall (1986) as ‘a
mental orientation characterizing a consumer’s approach to making choices’, and they asserted that
consumers embrace a ‘shopping personality’ that is relatively permanent and predictable in the same way
Psychologists look at the personality. Researchers have found that shopping orientation impacts all
aspects of consumers’ decision-making behaviour right from recognition of need to post-consumption
evaluation (Hiu, Siu, Wang, & Chang, 2001). The basic principle on which shopping orientation works
is that consumers with different orientations have different consumption attributes with unique market
behaviours including distinctive requirement for information (Girard et al., 2003), different psychographic
characteristics (with regard to Product and allied services) and demographics (Brosdahl & Carpenter,
2011) with different emphases on store attributes (Lumpkin, 1985).
Among the earlier shopping orientation studies, Stone (1954) was first to state that consumers
purchase from a retailer for other than just economic reasons and identified four types of shoppers:
‘economic shoppers’, ‘personalizing shoppers’, ‘apathetic shoppers’ and ‘ethical shoppers’. Following
Stone’s footsteps, Lumpkin (1985) segmented the elderly consumers into three groups such as ‘active
4 Global Business Review
apparel shoppers’, ‘economic shoppers’ and ‘apathetic shoppers’. Sprotles and Kendall (1986) established
eight consumer decision-making styles through literature survey and validated those eight factors
through empirical factor analysis. Shim and Kotsiopulos (1993) examined shopping orientation among
female apparel shoppers and unearthed three distinct shopping orientations: ‘highly involved apparel
shoppers’, ‘apathetic apparel shoppers’ and ‘convenience-oriented catalogue shoppers’, and nine
shopping orientations were found in the study of in-home shoppers of Singapore consumers by
Shamdasani and Yeow (1995). The study of shopping orientations of French shoppers (Gehrt & Shim,
1998) resulted in five segments, namely ‘catalogue shoppers’, ‘store segment’, ‘apathetic segment’,
‘relationship segment’ and ‘non-aesthetic segment’. The empirical exploration of Chinese consumers’
decision-making style by Hiu et al. (2001) resulted in five orientations: ‘Perfectionist’, ‘novelty-fashion
conscious’, ‘recreational’, ‘price-cconscious’ and ‘confused by over-choice’. The study of Indian
consumers by Sinha (2003) unearthed two shopping styles such as ‘the fun shoppers’ and ‘the work
shoppers’. Moreover, Bakewell and Mitchell (2003) studied the consumer decision-making style of Gen
Y female shoppers, identifying five distinct consumer groups, namely ‘recreational quality seekers’,
‘recreational discount seekers’, ‘trend-setting loyals’, ‘shopping and fashion uninterested’ and ‘confused
time/money conserving’. The examination of Japanese online shoppers by Gehrt, Onzo, Fujita, and
Rajan (2007) resulted in four segments such as ‘shopping enjoyment segment’, ‘brand browsers’, ‘price
browsers’ and ‘shopping dislikes’, and Brosdahl and Carpenter (2011) studied the shopping orientations
amid US male shoppers, identifying eight shopping orientations: ‘shopping enjoyment/recreational/
market mavenism’, ‘price-conscious/frugality’, ‘shopping antipathy’, ‘brand loyalty’, ‘confused by
over-choice’, ‘store loyalty’, ‘shopping confidence’, ‘brand consciousness’. Consecutively, Loureiro and
Breazeale (2016) studied Generation Y’s clothing shopping in the e-commerce platform and suggested
that ‘in-home shopping tendency’, ‘convenience consciousness’ and ‘impulse purchase’ are the most
important factors that drive consumers’ Internet shopping orientation. Krbová and Pavelek (2015)
examined the shopping orientation of Gen Y consumers based on the importance of e-commerce shopping
attributes and clustered them into three distinct groups: ‘quality and reliability’, ‘free delivery’ and ‘extra
services’. While adequate researches exist on shopping orientations of other generational cohorts in the
context of online and offline retailing environment, attention needs to be paid to the emerging cohort,
that is, Gen Z.
Online Shopping
E-commerce continues to demonstrate accelerated growth across the globe. As of February 2019, Internet
penetration was reported to be 57 per cent of global population with the growth rate of 13 per cent
between 2014 and 2018 (Lamb, 2019). Internet has proliferated in Asia, with approximately little over
two and half billion users and it is expected to grow multifold in the coming years (Agarwal, 2018). One
of the Asia’s biggest nations in terms of population—India; its total consumption is forecasted to be
tripled from US$1.3 trillion in 2016 to US$3.6 trillion in 2027, of which a significant chunk to take place
over the Internet due to the strong IT infrastructure the country has been building over the years (India
Brand Equity Foundation [IBEF], 2018). The surge in women entering workforce, emergence of double
income households coupled with strong appetite for convenience were some of the drivers behind
changing consumer trends (Kartik, Willis, & Jones, 2016). These market characteristics present
opportunities for online retailers. Besides, the greater efficiency and the convenience that e-commerce
brings to the purchasers help in reducing the cost of search that leads to overall low consolidated price
for a range of goods compared to their offline counterparts (Kumar & Sadarangani, 2018; Nagar &
Thangavel et al. 5
Gandotra, 2016). This could be the reason why online shoppers often found to be exhibiting the price
consciousness (Vijayasarathy & Jones, 2000). The most important online shopping attributes for Gen Z
are found to be reviews of customers who bought and used the item and the ability to compare the
competing products (Van den Bergh & Pallini, 2018). Male shoppers stated that the width of assortments
in the e-commerce platform was a more important attribute than the female consumers (Krbová &
Pavelek, 2015). Experts and the market research firms indicate that Gen Z would be a viable consumer
sect for online retailing in Asian and other developing economies due to the penetration of cheap Chinese
Smartphones and the ever-increasing appetite for sophistication. Consequently, the shopping orientations
of new generation must reflect the socio-economic and cultural changes in the society. Despite this
compelling opportunity, there is a paucity of research on this front and that prompted the researchers to
explore this generational cohort.
While substantial research exists with respect to consumer decision-making styles of other generational
cohorts (Gen X and Millennials), attention needs to be paid to the purchasing style of Gen Z as they are
the emerging consumer segment. Therefore, the first objective of the study is to determine the shopping
orientation styles that exist among Gen Z consumers using factor-analytic examination. The second
objective is to segment them into different consumer groups through cluster analysis technique. The final
objective is to profile each of those segments based on demographic data, employing chi-square analysis.
Rationale of Study
From the above section, it is clear that today’s young consumers (Gen Z) carry different consumer values
from those of other generational cohorts (Gen X and Millennials) owing to the constant socio-economic
and technological changes that the human society underwent. As a generational cohort, Gen Z is expected
to account for about 40 per cent of all consumers worldwide by 2020 and recognized as the next consumer
power house (Heitzman, 2018)). Although a number of blogs and columns have been written on
shopping behaviour of Gen Z, no empirical studies have been found. Moreover, they are important not
only because of their buying power but also because they directly influence the buying decision of their
parents (Batra & Ali, 2015). Therefore, the study addresses the following research propositions,
The Era of E-Commerce: Does the Concept of
Brand Loyalty Exist Among Gen Z?
‘Brand loyalty’ is the tendency of customers to choose one brand consistently over its competitors for
products and services. There are evidences which suggest that brand loyalty is losing its significance
among Gen Z consumers. The Internet made access to information (reviews, product comparisons, etc.)
so easy that almost no young consumer buys a product just because of the brand name. The Deloitte
study, which was conducted of late, claims that Millennials are prone to make a purchase based on value
for money and are least loyal to the brands (Deloitte, 2018). The younger generation has more choices
than any generation had ever before (Taylor, 2018). With low-involvement products, most people are
6 Global Business Review
brand loyal as long as it is convenient to them. The idea of working for a single company for decades,
for instance, seems archaic now. People are loyal to quality now, not to names. So it is rational that Gen
Z would choose less expensive and convenient products over the well-established expensive brands.
Taylor (2018) in his study of generations and impact of advertising suggested that ‘consumers today
have become more critical and cynical about the advertisements and they have difficulty trusting a
brand’s intentions, and if they do not get what they expect, one will certainly hear about it on social
media’. This led to our first proposition that ‘Many Generation Z shoppers tend to consistently switch
between brands that is convenient to them’.
Choice Overload: Is Gen Z Drowning in Choices?
Everybody gets so much information all day long that they lose their common sense.
Gertrude Stein, ‘Reection on the Atomic Bomb’ (1946)
The term ‘information overload’ had first appeared in the work of Bertram M. Gross (1964) ‘The
Managing of Organizations: The Administrative Struggle’. Gen Z lives in a world of continuous updates
and processes lot more information than any other generation did at their age. According to Gao and
Simonson (2016), the current phenomenon in the online retail environment is that ‘an abundance of
choice, perhaps too much’. For many years, Fast-moving consumer goods (FMCG) businesses were
convinced that consumers prefer to have many choices. But the research studies lately suggest that too
many choices often lead to ‘analysis paralysis and indecision’. The academic research conducted by
Iyengar and Lepper (2000) has indicated that abundance of choices is bad to consumers as it results in a
kind of ‘mind freeze’ at the point of purchase. The young consumers (Gen Z) face the dilemma that
whatever they select, the other options seem to be better (Tugend, 2010). This leads to our second
proposition that Gen Z consumers tend to be ‘confused by over-choice’ and many of them will limit their
product search using the filters in the e-commerce platforms.
Rivalry Among E-Retailers: Does it Make Gen Z to
Feel That Deals/Discounts as Their Birthright?
In a survey conducted in 2016 among the Gen Z European consumers, it was found that the popularity of
the virtual retailing is attributed to the flexibility, enhanced convenience, wider outreach, low cost and
huge collection of products and services. The revolutionary growth and success of the virtual mode of
retailing are attributed to the fact that it eliminates the need to have a well-maintained physical store in a
posh location, which costs a fortune for the seller, and the tragedy is that this cost is passed on to the
customers to pay. The e-commerce has eliminated these overheads and inadequacies of offline retailing to
a greater extent possible across the value chain (Lieber & Syverson, 2012). The study conducted by Kartik
et al. (2016) found that youths from developing nations are thriftier when it comes to shopping, as they
wait for the right deal to pop up and do extensive search and compare before making up their mind to
ensure that every penny is spent worthily. Many business columnists and practitioners too asserted that
Gen Z want material gain—some free products or a good discount and it is increasingly encouraged by
predatory pricing or deep discounting by competing rivals to win them over. This led to the third
proposition that ‘many of the Gen Z consumers will show value consciousness when they shop’.
Thangavel et al. 7
Data Source
A three-page questionnaire was used as the survey instrument. It was pilot tested among the fellow
scholars, professors and professional friends from other disciplines. Validity of the research instrument
can be appraised by a panel of able professionals whose expertise can judge whether the scale measures
what it intends to measure (Zikmund, Babin, Carr, & Griffin, 2013). Based on the input received, few
items in the questionnaire, which were considered unnecessary, were removed and wordings changed to
enhance the understandability. Data were collected among the online shoppers aged between 16 and 23
(Gen Z), including high school and college students and the individuals those who just began corporate
career. Convenient sampling was used to obtain the sample and care was taken to have equal representation
from high school, college and those who just entered the workforce. Moreover, to elicit the honest and true
responses from the chosen sample, each respondent was gifted with a ballpoint pen (Cello—Butterflow)
worth 20 when they began to fill up the questionnaire. Offering gifts (Coupons, Cash incentives and
Samples) is widely in practice among the researchers to motivate survey respondents (Chen, Lei, Li,
Huang, & Mu, 2015; Guo, Kopec, Cibere, Li, & Goldsmith, 2016; Jackson, Stoel, & Brantley, 2011; Kolb,
2008; National Research Council, 2013; Park & Kim, 2003; Singer, 2002; Toepoel, 2015). Besides
motivation, respondents are bound to be honest and legitimate in their responses as they owe something
in return for the kind gesture extended by the survey administrators (Falk & Fischbacher, 2006).
Considering the online shopping context and the literature review, the following 11 shopping orientations
were employed in the survey: ‘quality consciousness’, ‘brand loyalty’, ‘influence of reference group’, ‘online
shopping confidence’, ‘convenience consciousness’, ‘impulsiveness’, ‘brand consciousness’, ‘market
mavenism’, ‘price/value-conscious/economic shoppers’, ‘online store loyalty’, and ‘confused by over-
choice’. Items representing the shopping orientations were not ordered sequentially so that the statements
from one category do not get grouped together in the questionnaire. Respondents were specifically requested
to reflect on online shopping context, while responding to the questions. The questionnaire also included
demographics factors such as gender, age, current status, monthly family income, years of Internet usage,
average amount of money spent in E-shopping (in the last 12 months) and the frequency of shopping.
Respondent Profile
A total of 244 workable questionnaires with complete information were received. Table 1 provides the
demographic profile of the sample. The respondent pool comprised 138 (56.5%) males and 106 (43.5%)
of females; 78 (32%) were high school students, 104 (43%) were college goers and 62 (25%) were in the
beginning of their career. A majority of the sample (79%) were in the age group between 16 and 19. A
sizeable number (67%) of the chosen sample revealed that they shopped online for about 19 times on an
average in the last 12 months and spent about 18,000.
Exploratory Factor Analysis of Shopping Orientations
The survey questionnaire consisted of 37 psychographic statements and 7 demographic measures.
Psychographics are the components employed in the analysis of shopping orientation. The demographic
8 Global Business Review
data were gathered to aid in establishing the profile of the personnel associated with each segment.
Although all the items employed in this study to measure the orientation were adopted from various past
studies, none of them have used all those orientation constructs in the same single study. Moreover, not
all those orientations were employed to study the Gen Z consumers in the e-commerce environment.
Therefore, considering the exploratory nature of the work, EFA (Exploratory Factor Analysis) was to be
carried out. Thus, to ensure the factorability of the collected data, the inter-item correlations were
examined to ascertain that the items under a construct are significantly correlated (>0.30) as the lower
correlation (<0.30) suggest items that are unreliable and have weaker relation with the rest (Churchill Jr,
1979). The correlation matrix revealed numerous higher-to-moderate correlations, which is an indication
that the matrix is factorable. Subsequently, the data were also subjected to ‘Kaiser-Meyer-Olkin’ (KMO)
measure for sampling adequacy (Kaiser, 1974) and ‘Bartlett’s test of sphericity’. The study obtained the
value of 0.745 for KMO measure and χ2 = 3646.706 with the significance level (p) of < 0.001 for
‘Bartlett’s test of sphericity’ (Table 2). The meritorious KMO value coupled with high significance level
of ‘Bartlett’s test of sphericity’ suggests that the given dataset is fit for factor analysis.
Table 1. Demographic Profile of Respondents and Their Internet Usage and Shopping Frequency
Variable Frequency Valid Frequency Percentage
Current status
At High school
At College
At Work
Family’s monthly income ()
Below 30,000
Above 90,000
Years of Internet usage
Less than 3 years
4–6 years
Above 6 years
Frequency of online shopping in
the past 12 months
1–4 times
5–8 times
9–12 times
13–16 times
17–20 times
21 and more
(Table 1 Continued)
Thangavel et al. 9
Variable Frequency Valid Frequency Percentage
Money spent on online shopping in
the past 12 months
Less than 4000
Above 20,000
Source: The authors.
Table 2. KMO and Bartlett’s Test for Shopping Orientation Attributes
‘Kaiser–Meyer–Olkin’ measure of sampling adequacy 0.745
Approx. chi-square 3646.706
‘Bartlett’s test of sphericity’ df 435
Sig. 0.000
Source: The authors (Factor Analysis Data Reduction, SPSS 20.0).
‘Principal factor analysis with promax’ method of factor extraction was performed on 37 shopping
orientation variables that were expected to represent the 11 dimensions. This technique was
employed as it includes only the shared variance in the solution and for the items to be retained
factor loading of 0.50 or more were required (Hair Jr, Wolfinbarger, Money, Samouel, & Page,
2015). Further, the promax rotation was chosen as it is better able to identify the simple structure
than varimax rotation in a context where there is moderate-to-high inter-component correlation
(Finch, 2006). The analysis produced nine dimensions with factor loading of 0.50 or more and
explaining 63.4 per cent of cumulative variance. The nine factors were: ‘brand loyal shoppers’,
‘brand consciousness’, ‘quality consciousness’, ‘confused by over-choice’, ‘Price consciousness’,
‘convenience consciousness’, ‘online store loyal’, ‘online shopping confidence’ and ‘socially
desirable shopping tendency’. A total of seven items that did not demonstrate high internal validity
were eliminated (One item in ‘online shopping confidence’, and three items each in ‘Impulse
purchase’ and ‘Market mavenism’ that led to their elimination from further processing). Table 3
illustrates the loading of the 30 items and Cronbach’s alpha for the nine retained components.
Segmentation Using Cluster Analysis
K-means, a non-hierarchical clustering algorithm has been used to categorize the shopping segments, as
it is suitable for large dataset and overcomes the limitations of other algorithms by selecting initial
cluster centres with well-separated values unlike other cluster methods that rely on random initial
assignments (Hair, Black, Babin, & Anderson, 2015; Norusis, 2008). The supremacy of K-means
algorithm lies in the fact that it iteratively re-assigns observations to clusters until the optimized clustering
solution is achieved. This optimization procedure allows for reassignment of observations, with the goal
to create most distinct clusters (Hair, Black, Babin, & Anderson, 2015). Thus, the validity and stability
of the cluster solution is enhanced.
(Table 1 Continued)
10 Global Business Review
Table 3. Exploratory Factor Analysis of Shopping Orientations of Gen Z
Factor Labels
(Cronbach’s alpha) Items
Brand loyal shoppers
(α = 0.84)
I don’t like to buy the same brand every time*
I buy my favourite brands over and over
Once I find a brand I like, I stick to it
I try to stick to certain brands
15.9 3.4
Brand consciousness
(α = 0.89)
The higher the price of the product, better the quality is
Even though it may be costly, I prefer to buy popular
I purchase only branded items
10.1 3.2
Quality consciousness
(α = 0.82)
I do not mind to pay a higher price if I can get a quality
I carefully considers the quality of products I buy
I make special efforts to choose the best quality
My expectations from the products I buy are very high
7.8 3.9
Confused by over-
(α = 0.87)
All the information I get on different products confuses me
The more I learn about different brands, the harder it
seems to choose one
Availability of many brands often make me confused
when I shop
6.8 3.5
Price consciousness
(α = 0.84)
I pay attention to the advertisements announces discounts
I usually use discounts to save money
I carefully watch how much I spend
6.3 3.3
(α = 0.84)
I prefer to shop online because it helps me to save time
I like to get things delivered home than go and buy
from shop
Offline shopping takes lot of effort in terms of travel,
parking and carrying back the items
5.2 3.2
Online store loyalty
(α = 0.82)
I tend to buy mostly from a particular online store
Only my favourite online store provides me the best
I like to try new online shopping sites*
4.3 3.5
Online shopping
(α = 0.77)
I think I am a good online shopper
I have the ability to choose the right products online
I feel comfortable with the level of security online
stores provide
3.7 3.6
Influence of reference
(α = 0.76)
I seek the opinion of others before buying something
What others may think of my purchases often
influences my shopping decision
I like to buy things that people I admire use
I would discuss with others before deciding on the
3.3 4.0
Source: The authors.
Note: *Reversed items were re-coded before the principal component analysis.
Thangavel et al. 11
Cluster solutions of three to six groups were generated. The obtained solutions were assessed based
on the significance level of univariate F-ratio (see Table 4) for each of the nine shopping orientations for
each cluster solutions (three to six). The F-ratio was not significant for three-cluster solution, so it was
not considered as a probable solution. The 6-cluster solution had significant F-ratio but has picked up
small numbers 10 (cluster 1) and 11 (cluster 4) in ‘number of cases in each cluster’, so it got disqualified
to be an effective cluster solution. Thus, the focus was shifted to four- and five-cluster solutions. Finally,
the four-cluster solution was chosen as the optimal solution, as it had better pairwise differences compared
to five-cluster solution. The examination of F-ratios associated with the extent to which each of the
shopping orientations that differed across the four shopping segments reveals that quality consciousness
has the largest value, that is, 68.1 (Table 4). This was followed by Price/value consciousness (F-ratio =
50.1), convenience seeking (F-ratio = 46.3), being socially desirable (F-ratio = 43.4), online store loyalty
(F-ratio = 34.7), brand consciousness (F-ratio = 30.7), online shopping confidence (F-ratio = 23), brand
loyalty (F-ratio = 19.9), confused by over-choice (F-ratio = 9.9). All of them were significant at ≤0.001
level, which is an indication that shopping orientations robustly differentiate between the identified
shopping segments. The final cluster centres for each of the nine dimensions for respective segments are
given in Table 4.
Table 4. Cluster Analysis with Cluster Centres on Shopping Orientation Criteria
Segments ANOVA
Shopping Orientation
(Listed based on factor loading
scores—descending order)
quality Seekers
Brand- and
conscious F p-Value
I. Brand loyal shoppers
II. Brand-conscious shoppers
III. Quality-conscious shoppers
IV. Confused by over-choice/
availability of too many choices
V. Price/value-conscious/
economic shoppers
VI. Convenience (Time and
energy conserving) Shoppers
VII. Online store loyal shoppers
VIII. Online shopping confidence
IX. Influence of reference
group/socially desirable/
information seeking
Source: The authors.
12 Global Business Review
Table 5. Chi-square Analysis of Demographics, Internet Usage and Shopping Behaviour
‘Deal Hunting-
‘Brand and
Quality Conscious
Gender (not significant)
% within Cluster
% within Cluster
Age (not significant)
Current status (not
At high school
At college
At work
Monthly family income
(=0.1 significant)
Years of Internet usage
(0.05 significant)
<3 years
4–6 years
>6 years
(Table 5 Continued)
Thangavel et al. 13
‘Deal Hunting-
‘Brand and
Quality Conscious
Online shopping frequency
in the past 12 months (not
1–4 times
5–8 times
9–12 times
13–16 times
17–20 times
21 times
Average amount of money
spent shopping online in
the past 12 months (not
>4,001 to <8,000
>8,001 to <12,000
>12,001 to <16,000
>16,001 to <20,001
Discussion and Managerial Implications
Profiling the Shopping Segments
This study segments the Gen Z online shoppers based on their predisposition towards shopping and
develops a profile for each segment. Gen Z consumers enjoy shopping significantly; this due to the fact
that they have been brought up by both working parents and were socialized at the very young age to
assist with the family shopping shores (Deloitte, 2018; Kebritchi & Sharifi, 2016; Turner, 2015). In
addition to their age, the informational era they live in drives them to be more savvy consumers than any
other preceding generational cohorts. From the nine psychographic-based shopping orientation
constructs, Gen Z online buyers have been classified into four segments, 1. ‘Economic-quality seekers’
(Table 5 Continued)
14 Global Business Review
(25%), 2. ‘Convenience shoppers’ (14.3%), 3. ‘Deal hunting-convenience seekers’ (30.3%) and 4. ‘Brand
and quality-conscious shoppers’ (30.3%). The profile of each segment is described as follows:
Economic-quality seekers: The first segment has been named as the ‘economic quality seekers’ (25%
of subjects). This cluster indicates that about one-fourth of Gen Z shoppers seek out for quality products
at a reasonable price, and they are most likely to ‘compare and contrast’ available products in the
e-commerce platforms before they make the final purchase. The online sellers who target this segment
must try and offer quality products at competitive prices. Since this segment is large enough, the sellers
could take advantage of economies of scale. Sellers are also cautioned not to displease this segment with
quality as they are hardcore switchers and least guilty about returning the product. This segment is also
noteworthy as it had the highest negative score for the convenience orientation (–0.84368) and brand
consciousness (–0.68304). These negative scores suggest that this segment has the audience who are
least likely to be influenced by brand names and convenience. It leads to further implication to e-retailers
that they can make this segment to collect their products at the common pick-up point rather than
delivering at their doorsteps. So, the cost saved can be handed over to these shoppers in terms of reduced
price to win their loyalty. About 47 per cent of this segment is in the college and a greater portion of them
(63.9%) shopped online about 17–20 times in the past 12 months. They were also found to be above
average spenders in e-commerce platform and about 45.9 per cent of them belong to the working-class
families, and this segment is found to be equivalent with respect to gender across the sample (see Table
5). The segment reaffirms our first research proposition that ‘many Generation Z buyers tend to
consistently switch between brands that suits them’. This segment also reinforces our third proposition
that ‘many of the Gen Z consumers will exhibit value consciousness when they shop online’.
Source: The authors.
Convenience shoppers: The second segment has been designated as the ‘convenience shoppers’ (14.3
% of the subjects), as it had the positive score only for the convenience orientation (0.10808) in this
cluster. It indicates that the personnel associated with this segment value convenience more than anything,
and this segment’s highest negative score for the ‘Loyalty’ (–1.17031), further reinforced their
convenience orientation. Van den Bergh and Pallini (2018) suggested that Gen Z are least loyal to
retailers and tend to choose them more wisely than any other preceding generations, and long-term
benefits like loyalty cards or coupons to redeem in the subsequent purchases seem to hold little value for
Gen Z, while the short-term benefits such as discounts, freebies and free delivery were rated by this
cohort as very attractive. Thus, this segment seems to be attractive to the online retailers. The door-step
delivery and paid-fast delivery seem to be effective means to satisfy this segment’s convenience
orientation needs. Moreover, easy return policy and flexible delivery schemes of e-retailers are also
appealing to this segment. Hence, e-retailers need to focus more on those convenience and flexibility
attributes of serving this segment. Chi-square analysis (Table 5) reveals that this segment possesses
maximum number of shoppers (77.7%) with above average online shopping frequency compared to
other segments. They are relatively younger compared to other segments, with higher percentage of them
in the age group of 16–17 years (45.7%) and it has the highest percentage of males (62.9%). Additionally,
it is also to be noted that this segment has the maximum number of shoppers with middle-class status
compared to other segments which explains why the individuals associated with this segment are
convenience oriented.
Deal hunting-convenience seekers: The third segment termed as the ‘deal hunting convenience
seekers’ (30.3% of the subjects) had the highest scores for the price consciousness (0.71281) and
Thangavel et al. 15
convenience orientation (0.67651). These scores suggest that the personnel associated with this segment
value the discounts and the convenience attributes. They quite often might look out for ‘lightening deals’
and ‘discounted sales’ to reap the maximum value for their money. The e-retailers can e-mail the ‘daily
deals’ and discounts to this consumer segment directly, which the e-commerce industry in Asia at present
does to the extent of irritating the customers with inundating e-mails, and this segment also detest going
out for shopping facing the traffic and waiting in the queue to get their items billed. The online retailers
who target this segment must focus on the convenience attributes which are elaborated above. This
segment’s lowest score for the ‘Confusion by over-choice’ (0.21794) lead to the inference that they are
tech-savvy. Moreover, this segment also has the highest number of shoppers with longer period of
Internet usage (6 Years or more) compared to other segments. With respect to age and current status, this
segment was found to be equivalent to the overall sample but differs with gender. This cluster carries the
highest representation of males (60.8%). This is in line with the study of Leggatt-Cook’s (2007) who
stated that men indulge in more shopping than women do, and about a half of this segment belongs to the
middle-class families. This cluster’s lowest score for the factor ‘confusion by over-choice’ gives no
support for our second proposition that ‘Gen Z shoppers likely to be confused by over-choice’. This
probably would be true as this generation was early introduced to the ‘era of information’ and ‘social
media’ that would have made them to get accustomed with constant updates and navigate through large
information with ease.
Brand- and quality-conscious shoppers: The last segment has been designated as the ‘Brand- and
quality-conscious shoppers’ (30.3% of the subjects), as it had the highest scores for Brand consciousness
(0.53744) and quality consciousness (0.44237). The scores suggest that the individuals in this segment
are brand-conscious, as they might believe that only the well-known brands offer them the best quality.
This segment’s negative score for ‘Price consciousness’ (–0.78623), further reinforcing their orientation
towards brand and quality. This leads to the inference that the online retailers who target this segment
may try and build a reputation for their private label brands through advertising, celebrity endorsement
and associating their brand with social causes. Further to building reputation for their brand, they should
not compromise on the quality of the product, as it might backfire if they prefer one over the other. The
segment’s online shopping frequency and money spent in e-shopping for the past 12 months was found
to be above average. With respect to gender, this segment is more or less equivalent to the overall
sample. In addition, about 48 per cent of the shoppers in this cluster have been using the Internet for more
than 6 years now.
The study contributes to the theory of shopping motivation and generational cohort approach in consumer
segmentation. The empirical findings of the study suggest that value consciousness and convenience
driven are the dominant shopping orientations that drive the Gen Z consumers. This could be the prime
reason why they overtly favour e-retailers. At the same time, they are most likely to ‘compare and
contrast’ available products in the e-commerce platforms before they make the final purchase. So the
e-retailers should continue to look for ways to enhance these features to lead the disruption they caused
in the retailing industry. This also leads to the assertion that Gen Z are less brand loyal compared to the
previous generations and the same is validated by this study. Therefore, instead of spending millions of
dollars in advertising and promotion to reinstate the brand consciousness and loyalty among the
customers, the marketers should adopt the approach that ‘the fortune at the bottom of the pyramid’
(Prahalad, 2009), whereby serving the large number of aspiring poor and middle-income people the
16 Global Business Review
company can realize growth and profitability through volume (What Sam Walton’s Walmart had done to
the country people of USA in the 1970s and 1980s (Walton & Huey, 1993) to be repeated in Asia by the
e-commerce players). Finally, the authors conclude that the shopping orientations of Gen Z differs
substantially from that of preceding generations, and the marketing strategies that target the Gen Z online
shoppers must be customized.
Limitations and Scope for Future Research
Although the present study contributes significantly to the literature on generational studies and
e-retailing, it too can be seen with some limitations. This study had survey participants who live in one
Asian country, as it has been widely reported that people from different countries will go through
different events during their growing up years and those events will have strong bearing on their attitude,
belief and value system, hence this study which was primarily conducted among the shoppers who are
from an Asian country cannot be generalized for consumers across the globe. Future research work is
suggested into shopping orientation between Asian Gen Z consumers and those of other continents. We
used only three to four items to measure each shopping orientation construct, so the questionnaire would
be at reasonable length and the respondents’ irk is not evoked. Ideally, we should have employed more
than five items to measure each of those 11 shopping orientations. Given the humungous socio-economic
and demographic differences that prevail in this country, the sample drawn for this study is not true
representative of the population. Similar research can be done on a larger population. The respondents
were specifically requested to reflect on online shopping context, while responding to the questions, is
another limitation of the study. Future studies could evaluate the shopping orientations, specific to
product categories (e.g. clothing, footwear, cosmetic and consumable (pantry) product categories) in the
e-commerce environment. Even though previous studies have added to the researchers’ understanding,
no other published work has studied the shopping orientation of Gen Z in the Asian context.
The authors are grateful to the anonymous referees of the journal for their extremely useful suggestions to improve
the quality of the article. Usual disclaimers apply.
Declaration of Conflicting Interests
The author(s) declared no potential conicts of interest with respect to the research, authorship and/or publication of
this article.
The author(s) received no nancial support for the research, authorship and/or publication of this article.
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... They even create new styles of communication and interaction (Ajmain, Hehsan, Mohamad, 2020;Wielki, 2020). For Generation Z, social media and instant messaging are the primary channel of communication, sources of information, a way to share opinions and manifest attitudes, as well as a space for making purchasing decisions (Thangavel, Pathak, Chandra, 2019). According to consumer research conducted in Poland in 2020, almost half (44%) of Generation Z made a purchase decision based on an influencer's recommendation, compared to 26% of the general population (Kantar, 2022). ...
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The development of civilization and technological advances have led to fundamental changes in the use of marketing tools. The evolution of the concept from Marketing 1.0 to Marketing 5.0 has contributed to a change in the perception of the role of modern technologies in advertising. This is reflected, among other things, in the change in the structure of advertising expenditures. It is important to note that in 2021, for the first time, Internet advertising accounted for the largest share of the overall advertising expenditure. The evolution of online advertising is characteristic – from traditional display formats, through mailing, to more and more sophisticated forms of advertising in social media. The purpose of the chapter is to analyze the perception of online advertising and its impact on Generation Z consumers. The considerations contained in this paper are based on the findings of a survey conducted among Polish Internet users, representatives of Generation Z, which was carried out in 2022. The results showed Generation Z’s relatively high criticism towards online advertising. It appears that the representatives of this generation are critical of the number of online ads and reluctant to respond to them. Also, they do not value highly their motivational qualities or recognize the impact they may exert on purchase decisions. At the same time, it is worth noting that women surveyed in the study present a more positive attitude in this case. They are less skeptical of online advertising activities (or at least express less critical opinions about them). This is particularly true in the case of social media advertising: it performs better compared to other forms of online advertising, primarily due to the greater involvement of young people in social media.
... Dąbrowski & S roda-Murawska, 2021). However, fundamental differences between a Western social culture dominated by individualistic values and an Eastern social culture dominated by collectivist values may influence Generation Z's differences in behavior and consumption preferences (Ho et al., 2022;Thangavel, Pathak, & Chandra, 2022). Moreover, the understanding of Generation Z's subjective opinions in the context of pandemic positive strategies that ennoble city image remains scarce. ...
Purpose This study aims to uncover marketing strategies to restore a positive image in times of pandemic crisis to bring tourists back to a popularly affected tourism city in China, Wuhan in Hubei Province. The paper argues that the process of restoring city image requires understanding the perceptions of Generation Z, a segment of the population who have a high propensity to travel after COVID-19. Design/methodology/approach This study employed a constructivist grounded theory approach to explore the perspectives of China’s Generation Z consumers of Wuhan’s future image to restart tourism. The data is collected through semi-structured interview of 29 respondents and analyzed with the initial, focused and theoretical coding process. Findings Start by narrowing the gap between projected and perceived image, the findings suggest that Generation Z could be pulled to visit Wuhan city through four core products such as dark tourism activities, special-interest leisure, heroism and storytelling. Originality/value The destination image restoration framework after health-related crisis is creatively proposed. It combines the analysis of crisis and urban characteristics from the perspective of the target audience (Generation Z) and provides specific strategies to restore the tourism city image from cognitive, affective and conative dimensions. Significantly, two novel characteristics of Generation Z (i.e. lighthearted and patriotic) emerge in addition to the typical features of this generational cohort. This study also found a high preference for a technologically oriented type of attraction that reverses the morbid COVID-19 memories into an entertainment tool.
... Perkembangan zaman telah membuat promosi yang di lakukan perusahaan mengalami pergeseran, di mana banyak perusahaan yang beralih dari promosi melalui media cetak dan elektronik beralih ke promosi melalui internet yang salah satunya adalah media sosial. Belanja online pertama kali di temukan oleh Michael Aldrich, pada tahun 1979, hingga pada akhirnya berkembang pesat sampai sekarang (Thangavel, 2022). Belanja online adalah sebuah teknologi yang berkaitan dengan jualbeli suatu produk atau jasa, melalui sebuah sistem elektronik seperti internet atau jaringan komputer lainnya. ...
Web-based handmade shoe sales are made to make it easier for people to find information about the latest handmade shoe products and those who want to have shoes with unique designs. This study uses research methods such as observation, interviews, literature study. As for the system development method using the System Development Lyfe Cycle (SDLC). Based on the results of the research, the design of this information system can make it easier for buyers to introduce information about the latest handmade shoe products and make it easier to process sales transaction data and be able to overcome problems if an error occurs in ordering a product.
Purpose The purpose of this study is to identify segments in the Gen Z population (born between 1996 and 2010) in Europe, the USA and Australia, based on brand- and lifestyle-related variables and perceptions about their online activities. This study explores how these segments differ and provide insights into cross-country similarities and differences. Design/methodology/approach An online survey was conducted with 4,304 participants, and cluster analysis and analysis of variance were used to identify and profile Gen Z segments in each of three geographical areas. Findings Five segments in Europe and four segments in the USA and in Australia were identified. Segments differ in terms of the importance they attach to exclusivity, inclusivity and sustainability of brands, how Gen Z members perceive money issues and stand in life and how they perceive their online activities. Similar segments are found in the three geographical areas. Research limitations/implications This study proposes a conceptual and analytical approach for exploring intra-cohort diversity. Future research can apply this approach to different generational cohorts and use it to study intra-cohort diversity in other parts of the world. Practical implications This study provides input for marketing practitioners to create better focused and more effective campaigns. Originality/value Cross-country generational cohort research is scarce, and especially intra-cohort diversity is under-researched. This study offers a deep and fine-grained insight into the diversity of the Gen Z cohort across three geographical areas, based on representative samples in these areas.
An increasing number of e-commerce sites offering products globally have created a highly competitive marketplace across various market segments. E-retailers look to update their sites regularly to facilitate consumer decision-making. This article examines consumers’ motivational factors when shopping online and their association with online shopping sites offering different product lines delineating one online shopping site from another. Significant online shopping motivational factors identified through the literature review such as ease of navigation and website content, personalized services, discounts/promotional offers, range of products, familiarity with an e-store, reviews on-site, cancellation and returns policy, product quality and logistics were mapped with a few popular e-commerce sites in India offering different product lines, using correspondence analysis. Findings suggest consumers give more importance to quality, ease of navigation and website content, and personalized services when shopping at e-commerce platforms offering limited product lines like grocery/apparel. In contrast, good reviews, good logistics, clear order cancellations and return policy are more important when shopping at e-commerce sites providing an extensive product line. Such information can assist e-retailers in improvising their services to gain customer satisfaction and differentiate their website from others.
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Generation Z makes up the largest proportion of the world’s population and owns active spending power. Born in the internet information age, they have diverse values and consumer behaviors compared to other cohorts of generations. While there has been a significant increase in research on the purchasing behavior of Generation Z in recent years, there are particularly few bibliometric studies in this field. This study aims to sort out the current research status on the purchasing behavior of Generation Z, identify the evolution of purchasing behavior research of Generation Z, determine key research hotspots, and explore future research directions and priority suggestions by analyzing the current literature. The bibliometric analysis is based on the citation information of 638 literature items about Generation Z purchasing behavior in the Scopus database. The results sort out the knowledge structure of the purchasing behavior domain of Generation Z and draw a visual map of the network. Four popular research themes are identified based on keyword co-occurrence analysis, namely the influencing factors of Generation Z consumption behavior, the comparative study with other generations of consumers, the analysis from the perspective of human demography, and the study of sustainable consumption behavior. Studies on Generation Z consumers’ spending habits from 2001 to 2022 may be divided into three stages related to the growth process of Generation Z. Future research should focus on the influence of social media on the purchasing behavior of Generation Z and the sustainability of their consumption patterns.
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Purpose The purpose of this paper is to understand the characteristics of the cohort Generation Z and identify strategies for maximizing their talent. The study emphasizes that it is critical for the organization to revisit their strategies so as to accommodate this cohort group. With Generation Z entering the workforce, the nature of entry-level jobs is changing; hence, HR needs to redesign their strategies to attract and engage Generation Z. Design/methodology/approach The research design adopted for the study is exploratory in nature. The research analysis is based on the information/data collected from the journal articles, newspapers and various conferences and majorly from in-person discussions with the Generation Z cohort group. Findings Generation Z believes in multitasking and likes to learn everything on their own, underscoring their individuality. They believe in doing more in less time, and thus, efficiency and effectiveness are attributed to be part of their DNA. Research limitations/implications It has to be accepted that very little is known about Generation Z as they have just started to enter the workforce. The next two years will have this cohort joining organizations in entry-level jobs. Organizations have to carefully watch and redesign their strategies to effectively engage this group, as they have no choice except to accept the new generation. Practical implications The literature on Generation Z is scanty, as much of the scholarly research is done in isolation. However, prior studies indicate that Generation Z is tech-savvy and wants everything connected. Organizations will be forced to accept technology as the preferred medium of communication when Generation Z enters the organization. Originality/value The study presents an alternative for managing the Generation Z, thereby maximizing their talent in the workplace.
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Purpose The purpose of this paper is to understand Gen Zers’ tourism experiences and more specifically, through their tourist practices and their use of social networks. It also explores how Gen Zers apprehends the concept of sustainable tourism. Design/methodology/approach The authors used a qualitative research approach. The study protocol was conducted in two phases. First, the authors did six semi-directive interviews of young people born between 1995 and 2002. For the second stage of the research, the authors chose the narrative research technique by asking 34 students born between 1995 and 1997 to write a micro story from their travel experience. Findings Although it is often presented as a narcissistic generation, seeking to put forward their “selves”, for example by posting selfies, this study reveals that Generation Z seems to show a great modesty during their tourist experiences. The results also show that sustainable tourism is not a key concept for the young people interviewed. Research limitations/implications Thus, it would be useful to carry out more interviews and to extend the fields of analysis. While certain rules have been respected in the selection of young respondents, the sample does not necessarily reflect all the dimensions characterizing this complex young generation. Social implications We know that Generation Y has been exposed to social networks, often without a filter. The results show that Generation Z is much more suspicious and vigilant with regard to social networks and their use. Originality/value This research used an innovative method. It shows how multidimensional this generation is and opens up many ways of research.
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Generation Z is a common name for the most recent generation at the labor market. Members of generation Z, born after 1990, are characterized as highly connected, active use of communications and media technologies such as World Wide Web or YouTube. They are accustomed to collaborate, share and distribute images and information. Besides, they are often described as instant minded with faster life rhythm, and tending to be more individualistic and self-directed. With the advent of technological innovations, the generation Z is constantly connected with their friends, peers, family, relatives and acquaintances. They are born and brought up with idea of a connected world and want to connect and share their accomplishments with all. This being said, the generation Z do not shy off from work and have a set of predefined ideologies towards their workplace. The workplace includes all the aspects such as team, superiors, subordinates, freedom of speech, etc.
The purpose of the study is to examine the relationship between shopping motivation and purchase intention. This study examines the impact of antecedents of utilitarian motivation and hedonic motivations on purchase intention among Generation Y Indian. The study follows the quantitative approach and collects the data through the survey questionnaire. A total of 229 responses are collected and analysed by using the structural equation modeling. Both hedonic motivations and utilitarian motivations are found to be influencing the purchase intention of foreign brand clothing. The antecedent of utilitarian motivations customized advertisements, and convenience and the antecedent of hedonic motivations adventure, authority and status are found to be significant. The findings are applicable to marketers as while designing the integrated marketing communications, management may emphases the hedonic dimensions of adventure, authority and status along with the utilitarian dimensions of customized advertisements and convenience for greater impact on consumers. The study contributes to the theory of shopping motivation and generational approach in marketing. The article adds value to the literature not only by validating previous work but also by offering new insights into shopping motivation and Generation Y India.
We interviewed 26 senior marketing executives to hear how Gen Z is changing their businesses and marketing strategies today.