JRSSEM 2023, Vol. 02, No. 8, 1706 1721
E-ISSN: 2807 - 6311, P-ISSN: 2807 - 6494
DOI : 10.36418/jrssem.v2i08.380 https://jrssem.publikasiindonesia.id/index.php/jrssem/index
MILLENNIAL AND GENERATION Z ONLINE PURCHASING
DECISIONS ON INDONESIAN MARKETPLACE
Virgo Simamora
1
Paras Islami
2
1,2
Program Studi Administrasi Bisnis, Universitas 17 Agustus 1945 Jakarta, Indonesia
*
e-mail: virgosimamora@gmail.com, parasislami08@gmail.com
*Correspondence: virgosimamora@gmail.com
Submitted
: February 11
th
2023
Revised
: March 14
th
2023
Accepted
: March 23
th
2023
Abstract: The COVID-19 epidemic, as well as advancements in information technology, have both
led to a shift in consumer behavior, with consumers increasingly preferring to purchase things
online. This study is an explanatory study that aims to evaluate the impact of e-customer reviews,
e-customer ratings, and e-payment on the online purchase decisions of Millennials and Generation
Z in Indonesian marketplaces. The populations studied in this research include the Millennial
Generation and Generation Z, both of which purchase products from Indonesian marketplaces in
unknown, large numbers. Purposive sampling was employed in this investigation to gather 420
samples that fulfilled the specific criteria used in this study. This study employed a questionnaire
to collect data, which was emailed using Google Forms and distributed between December 8, 2022,
and January 16, 2023. According to the findings of this research, e-customer reviews have no
impact on online purchasing decisions. In contrast, this study shows that e-customer ratings have
an impact on online purchasing decisions. Finally, this research discovered that e-payment affected
online purchasing decisions. The findings of this study are crucial because they provide insight into
the preferences and attitudes of Generation Z and Millennials about e-customer reviews, e-
customer ratings, and e-payment systems.
Keywords: E-payment; E-customer review; E-rating; Online Purchasing Decisions.
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INTRODUCTION
The COVID-19 pandemic and
technological advancements have both
contributed to recent rises in online
transactions in Indonesia. People bought
products online during the COVID-19
pandemic since the government prohibited
outside activity. As a result, the overall value
of e-commerce transactions has increased
significantly, rising from IDR 106 billion in
2018 to IDR 206 billion in 2019, and IDR 279
billion in 2022, and is expected to reach IDR
572 billion by 2023. ((Annur, 2022).
Furthermore, the availability of information
technology enables enterprises to adopt
digital business practices, resulting in a rise
in online transactions. Entrepreneurs may
use information technology to sell their
products at a lesser cost and reach a larger
market (Simamora & Sulistianingsih, 2021).
Additionally, when visiting virtual stores,
shoppers may have a wealth of information
about the products they need (Harahap,
2018). According to (Rahayu & Susanti,
2022), research, customer visits to virtual
stores during COVID-19 impacted the
growth of online transactions in Indonesia.
With a population of 275,773 million
(Statistik, 2022) and an internet penetration
rate of 77.02% (Association of Internet
Service Providers, 2022), Indonesia has
emerged as a prospective market for a
global marketplace. In this circumstance,
the millennial generation (born 19811996)
and generation Z (born 19972012) have a
crucial role since they account for 53.91%
of Indonesia's overall population (Saeno,
2022). Millennials play an important role
since they are growing up with technology
and using the internet in their everyday
lives (Praharjo, 2019). Another reason
customers choose online purchasing is
Indonesia's inexpensive internet costs.
Indonesia has the 12th lowest internet
costs out of the 230 countries included in
the list of internet tariffs and fees (Annur,
2022).
Due to the abundance of opportunities
in the e-commerce business, competition
among e-commerce platforms has risen in
Indonesia. Shopee, Tokopedia, Lazada,
Blibli, and Bukalapak are the five e-
commerce platforms that compete in the e-
commerce industry in Indonesia. According
to SimilarWeb, citing (Annur, 2022), Shopee
was the most popular e-commerce
platform in Indonesia in 2022, with 190.7
million visits. Furthermore, according to
Alvara's 2022 study findings, Shopee is the
most preferred e-commerce site among
millennials. Tokopedia is the second-
biggest e-commerce site with 147.7 million
visitors, behind Lazada with 64.01 million
visits, Blibli with 24.9 million visits, and
Bukalapak with 24.9 million visits.
To stay competitive, online stores have
released a variety of tools that may entice
customers to make more purchases via
online marketplaces. They provide many
different applications, such as e-customer
reviews, e-customer ratings, and e-
payment, to get people to buy stuff from
their marketplace. E-payment (Lestari &
Ramadani, 2022; Pringgadini & Basiya,
2022), customer ratings (Julianti & Aini,
2019; Pustap Shaddai & Wulandari, 2020),
and product reviews (Hanifah & Wulandari,
2021; Latief & Ayustira, 2019) are all factors
that impact online purchases. Before
1708 | Millennial and Generation Z Online Purchasing Decisions on Indonesian Marketplace
making a purchasing decision, many
people go to customer reviews for
reassurance and guidance (Ramadhana &
Ratumbuysang, 2022). When consumers
share their thoughts about a product or
service online, they sometimes utilize a star
rating system instead of words to
communicate their opinions (Fransiscus et
al., 2022). In an electronic payment, or "e-
payment," the value of the transaction is
saved digitally on some kind of electronic
media, such as a server or a microcircuit
(Shobri et al., 2022).
The purpose of this study is to
investigate how Millennials and Generation
Z make purchasing choices in online
marketplaces in the context of e-customer
reviews, e-customer ratings, and e-
payment. The findings of this study are
crucial because they provide insight into
the preferences and attitudes of Generation
Z and Millennials about e-customer
reviews, e-customer ratings, and e-
payment systems.
E-customers review
According to (Mulyati & Gesitera,
2020), e-customer reviews are a kind of
electronic word of mouth (eWOM) that
consists of product information provided
by other customers and posted online. E-
customer reviews are reviews given by
consumers about a product from various
aspects (Hariyanto & Trisunarno, 2021).
Customer reviews may be positive or
negative (Sianipar & Yoestini, 2021).
Consumers offer information in the form of
product reviews or suggestions that are
posted online (Agesti et al., 2021). If
customer reviews are positive, future
consumers will be interested in trying and
purchasing the products being reviewed
((Fransiscus et al., 2022). Comments
submitted by a customer are comments
that represent his experience and are
delivered in an easy-to-understand format
(Askalidis & Malthouse, 2016). Moreover,
((Fransiscus et al., 2022) argue that online
customer reviews play a crucial role in
online transactions as they provide
customer references. E-customer reviews
employed in marketplaces are expected to
influence consumer purchasing decisions
((Suryani et al., 2022). According to (Fahrozi
et al., 2022), customer reviews increase
consumer trust and influence online
consumer purchasing. In other words,
consumers place a high value on the
opinions of other customers in a product
review (Harli et al., 2021).
Based on prior research, this study
defines e-customer reviews as consumer
evaluations of a product published based
on experience, and from these reviews,
other consumers may assume the quality of
a product to assist reduce risks in acquiring
items online.
Several factors are used to explain
consumer reviews based on previous
studies. In the research of (Fransiscus et al.,
2022), e-customer reviews of Scarlett
Whitening are described as indicators of
credibility, trustworthiness, and honesty. E-
customer reviews of electronic products are
described by (Tran et al., 2022) as a source
of information, receiver, and message.
Furthermore, (Rinaja et al., 2022) define
e-customer reviews in terms of perceived
advantages, source credibility, argument
quality, valence, and review volume. In this
study, the indicators utilized to explain e-
customer evaluations include credibility,
trustworthiness, and honesty. Credibility
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refers to a statement that is thought to be
true or accurate and reliable if the
information is free of mistakes.
Trustworthiness, or whether information
can be believed, is decided by the extent to
which the source is perceived, to be honest,
and trustworthy. Honesty is the expressing
of one's ideas and sentiments about
utilizing a product in an honest evaluation
without manipulating, plagiarizing, or
deceiving others for personal advantage.
E-customer rating
E-customer rating describes a
product's rating, which is presented in the
form of a star symbol rather than words
(Priangga & Munawar, 2021). The ratings
given describe consumer opinions based
on their experiences with sellers (Fransiscus
et al., 2022). E-customer ratings are
incredibly essential and crucial in online
transactions since it indicates the quality of
a product that users directly advocate
((Mulyono, 2021). According to the study of
(Anggraini, Abid, Akhlis, Yuhronuri, and
Deddi, 2022) and (Martini et al., 2022), e-
customer ratings have a favorable influence
on consumer confidence. Therefore, the e-
customer rating is a source of information
primarily for prospective customers and
first-time customers who do not know a
product they want to purchase (Chatterjee,
2019).
According to this study, e-customer
ratings are consumer opinions regarding
the rating of a product that explains that a
product is better than other items and is
communicated online in the form of a star
icon, as explained in earlier studies.
Following some research findings,
several indicators can provide information
regarding e-customer ratings. Based on
(Ridwan et al., 2015), three indicators can
be used to describe e-customer ratings on
Shopee: perceived usefulness, perceived
enjoyment, and perceived control. In
research on e-customer rating done by
(Putri et al., 2022), three factors were
utilized to explain e-customer rating on
Tokopedia: perceived usefulness, perceived
trustworthiness, and perceived enjoyment.
According to Mandasari and (Astarina et al.,
2018; Wahyuni et al., 2019), the e-customer
rating of Gojek is defined by two indicators:
perceived usefulness and perceived ease of
use. In the (Hariyanto & Trisunarno, 2021)
study, three e-customer rating indicators
are used to define Shopee's e-customer
rating: benefit, cost, and number of users.
The indicators employed in this study
were adapted from (Ridwan et al., 2015),
including perceived usefulness, perceived
enjoyment, and perceived control.
Perceived usefulness emphasizes the
benefits that may be felt immediately after
reading online ratings. Perceived delight
occurs when consumers readily
comprehend the meaning to be conveyed
while viewing or reading online ratings and
favor displays that make it simple to view
and read online ratings. Consumers may
improve their buying self-control by
utilizing internet ratings to obtain the
information they need to make a purchase
as well as vital information about the goods
they wish to buy.
E-payment
With an electronic payment, the
monetary value of the transaction is
recorded digitally, usually on a server or a
microcircuit (Shobri et al., 2022). There
must be a very high level of trust between
the people engaged in an electronic
1710 | Millennial and Generation Z Online Purchasing Decisions on Indonesian Marketplace
payment since sensitive information and
money are being sent over the internet
without any personal contact between the
persons involved (Alshurideh et al., 2021).
Most often used are various forms of
electronic cash, electronic checks, and
electronic wallets. Digital wallets, as defined
by (Purwaningtias et al., 2020) are used to
store information on different payment
instruments such as credit cards, debit
cards, and digital currencies like bitcoin.
Another kind of electronic money that may
be used on cell phones without the
requirement for a bank account is e-checks,
also known as digitally issued and signed
checks.
E-payment is a significant tool that
may encourage customers to buy online, as
shown by the findings of (Lestari &
Ramadani, 2022; Naufalia, 2022). E-
payment is also helpful since it streamlines
the payment process, boosts consumer
loyalty, makes financial transactions more
secure than using cash, saves time and
money, and allows for a wider variety of
payment methods (Purwaningtias et al.,
2020). E-payment allows people to make
payments whenever and wherever they'd
like, regardless of time or place; it's free for
all merchants, customers, and vendors; and
it helps cut down on criminal behavior and
fraud (Al-Sabaawi et al., 2021). Security,
perceived risk, trust, perceived advantages,
the official website, and website usability
are all factors that might sway customers
toward using electronic payment methods
(Özkan et al., 2010).
Several indicators are used to explain
e-payments. The indicators utilized to
explain e-payments in Turban and King's
study (2019) include independence,
interoperability, portability, security,
anonymity, ease of use, transaction fees,
and regulation. The indicators used to
describe e-payments (Pringgadini & Basiya,
2022) are indicators of trust and security.
(Lestari & Ramadani, 2022) provide four
variables that may be used to explain e-
payments: usage and dependability,
confidence and safety, awareness and
perception, and form of e-payment.
This study applies the same Turban and
King-recommended indicators to explain e-
payment, namely safety and ease of use.
One indicator taken from the research of
(Lestari & Ramadani, 2022) study, namely
awareness, and perception, and one
indicator from the research of (Pringgadini
& Basiya, 2022) namely a trust indicator, are
also included in this study. Therefore, the
four indications of security and ease of use,
awareness, perception, and trust are
utilized to explain e-payment in the
marketplace.
Online purchasing decision.
According to Kotler and Keller (2012),
consumer behavior research focuses on the
behavior of people, community groups,
and organizations in selecting, purchasing,
using, and using products or services to
meet consumer wants and preferences. A
consumer's choice to choose and buy a
product is a reaction to a stimulus (Nofri &
Hafifah, 2018). (Anjani & Simamora, 2022)
defines purchasing decisions as customer
behavior in choosing a product from
several alternatives supplied by vendors.
People started to turn to internet shopping,
selecting and purchasing the products they
desired and required online, as information
technology advanced (Harahap, 2018).
According to ((Abdilla & Agus, 2021) online
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buying choices are actions of buying
products or services through the internet.
According to (Le et al., 2022), online buying
choices are purchases made by customers
from firms through online channels.
Based on a review of previous research,
this study describes buying decisions as the
process by which people choose and buy
products when they shop online.
Several factors cause consumers to choose
to buy products or services online,
including the convenience they feel when
shopping, the lower costs incurred by
consumers, the ability to save time, and the
fact that they can shop anytime and
anywhere without stopping (Hartanto et al.,
2021). According to (Andhini, 2017), online
purchasing decisions are made because
online shopping transactions are safer,
have more diverse choice preferences, and
provide a better transaction experience for
consumers and e-commerce players.
Based on previous research, the
indicators used according to this study in
explaining purchasing decisions are
transaction security, diverse product
preferences, ease of access in transactions,
and saving costs and time (Hartanto et al.,
2021); (Andhini, 2017).
Several factors cause consumers to
choose to buy products or services online,
including the convenience they feel when
shopping, lower costs incurred by
consumers, saving time, and they can shop
anytime and anywhere without stopping
(Hartanto et al., 2021). According to
Andhini, 2017) online purchasing decisions
are made because online shopping
transactions are safer, have more diverse
choice preferences, and provide a better
transaction experience for consumers and
e-commerce players.
Based on the previous research, the
indicators used according to this study in
explaining purchasing decisions are
transaction security, diverse product
preferences, ease of access in transactions,
and saving costs and time ((Hartanto et al.,
2021)(Andhini, 2017).
MATERIALS AND METHODS
This is a type of explanatory study in
which theories or hypotheses are tested to
reinforce or weaken existing theories or
hypotheses. The purpose of this study is to
explain Millennial and Generation Z online
purchase decisions on marketplaces in
Indonesia based on e-customer reviews, e-
customer ratings, and e-payments. The
populations in this include the Millennial
Generation and Generation Z who buy
products from Indonesian marketplaces,
the number of whom is enormous and
unknown. To gather the 420 samples, the
purposive sampling approach was used,
which includes obtaining samples from the
population and defining specific criteria to
generate a representative sample. The age
range of 1641 years and having
transactions in the Indonesian marketplace
were the criteria employed in this research.
To collect data, this research used a
questionnaire, which was sent through
Google Forms and distributed from
December 8, 2022, to January 16, 2023, to
gather data.
RESULTS AND DISCUSSION
The profile of respondent
The results of this study indicate that
1712 | Millennial and Generation Z Online Purchasing Decisions on Indonesian Marketplace
the respondents were users of the Shopee
marketplace (59%), Tokopedia (13%),
Lazada (10%), Bukalapak (10%), and Blibli
(8%). The majority of respondents were
women (60%), followed by men (40%).
Based on respondent age, 16% of
respondents are from the millennial
generation (age 2741 years) and 84% are
from Generation Z (age 1626 years).
According to the results of this study, 3% of
respondents had a junior high school
education, 42% had a high school
education or its equivalent, 12% had a
diploma, 40% had a bachelor's degree, and
3% had a master's degree. According to the
research results, product categories that are
often purchased by consumers are fashion
products (39%), electronic goods (14%),
care and beauty (14%), automotive (9%),
household appliances (9%), food and drink
(8%), health (6%), and others (1%).
Evaluation of the outer model
There are 17 indicators used to
measure constructs in this research,
including 5 e-customer reviews (ECR)
indicators, 3 e-customer ratings (ER)
indicators, 4 e-payment indicators (EP), and
5 online purchasing decisions (OPD)
indicators. By using the Smart PLS
application, the first PLS Algorithm model
with 17 indicators and 22 questions is
presented below :
Figure 1. PLS Algorithm Structural Model
Sources: Processed Data (2023)
Validity test
The validity test is performed to
determine whether the measuring tool can
ensure the thing that needs to be
measured. As all indicators are self-
reflective, convergent validity and
discriminant validity are used to assess the
validity of the measurement instrument.
The loading factor value is the reference
used in the validity test. The acceptable
limit for the loading factor to achieve the
convergent validity criterion is 0.7. (Ghozali,
2021). The results show that all indicators
have a loading factor value of more than
0.70, indicating that the convergent validity
criteria have been fulfilled (See Table 1.)
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Table 1. Outer Loading
Indicators
Outer Loadings
EP.1
0.803
EP.2
0.856
EP.3
0.752
EP.4
0.846
EP.5
0.790
EP.6
0.820
ECR.1
0.791
ECR.2
0.789
ECR.3
0.802
ECR.4
0.821
ECR.5
0.816
ER.1
0.772
ER.2
0.840
ER.3
0.851
ER.4
0.863
ER.5
0.820
OPD.1
0.829
OPD.2
0.821
OPD.3
0.795
OPD.4
0.806
OPD.5
0.760
OPD.6
0.781
Sources: processed data (2023)
The validity test is continued by
conducting a discriminant validity test, The
discriminant validity test ensures that each
indicator of each latent model is different
from other variables. The cross-loading
value and the Average Variance Extracted
(AVE) value serve as a benchmark for
assessing discriminant validity (Ghozali,
2021). Based on table 2
Table 2. Cross Loading
E-Cutomers
Review (ECR)
E-Payment (EP)
E-Rating
(ER)
Online Purchasing
Decisions (OPD)
ECR.1
0,791
0,560
0,522
0,522
ECR.2
0,789
0,568
0,580
0,551
ECR.3
0,802
0,568
0,583
0,558
ECR.4
0,821
0,574
0,624
0,558
ECR.5
0,816
0,593
0,634
0,526
1714 | Millennial and Generation Z Online Purchasing Decisions on Indonesian Marketplace
EP.1
0,605
0,803
0,573
0,642
EP.2
0,593
0,856
0,599
0,671
EP.3
0,594
0,752
0,527
0,508
EP.4
0,558
0,846
0,521
0,595
EP.5
0,507
0,790
0,546
0,632
EP.6
0,615
0,820
0,649
0,685
ER.1
0,572
0,556
0,772
0,538
ER.2
0,660
0,619
0,840
0,616
ER.3
0,641
0,583
0,851
0,601
ER.4
0,577
0,589
0,863
0,568
ER.5
0,584
0,569
0,820
0,558
OPD.1
0,536
0,650
0,563
0,829
OPD.2
0,539
0,613
0,543
0,821
OPD.3
0,552
0,594
0,567
0,795
OPD.4
0,569
0,635
0,576
0,806
OPD.5
0,512
0,619
0,528
0,760
OPD.6
0,531
0,585
0,558
0,781
Sources : processed data (2023)
Table 2 shows that the loading value
for each indicator on its construct is higher
than the crossloading value. This means
that the latent variable measures the
indicator better than the other blocked
indicators. The next test is continued by
using the Average Variance Extracted (AVE)
approach. In this study, the minimum AVE
value was greater than 0.5, indicating that
the requirements for discriminate validity
were met (SeeTable 3.)
Table 3. Average Variance Extracted (AVE)
Average Variance Extracted
(AVE)
0,646
0,659
0,689
0,639
Sources : processed data (2023)
Reliability test
Composite Reliability and Cronbach's
Alpha were used to do the reliability test for
this study. The indicators are reliable if both
the value composite reliability coefficient
and Cronbach's alpha are greater than 0.70.
(Ghozali, 2021).
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Table 4. Reliability test
Variable
Cronbach's
alpha
Composite Reliability
E-Customers Review (X2)
0,863
0,864
E-Payment (X1)
0,896
0,901
E-Rating (X3)
0,887
0,889
Online Purchasing Decisions (X3)
0,887
0,887
Sources: processed data (2023)
The composite reliability value for each
of the following constructs is more than 0.7,
according to table 4: e-customer review, e-
customer rating, e-payment, and online
buying behavior. Similarly, Cronbach's
alpha values greater than 0.70 for each
construct indicate that the indicators
utilized in this research are credible.
Evaluation of inner model
The evaluation of the inner model
aims to determine whether the relationship
between exogenous variables and
endogenous variables provides the answer
to the question of the relationship between
latent variables that are hypothesized. In
this research, the inner was assessed based
on the value of R- square, the value of path
coefficient, and the goodness of fit.
Table 5. R-Square (R
2
)
Variable
R-square
Adjusted R-square
Online Purchasing Decisions
0,650
0,647
Sources: processed data (2023)
As stated in table 5 above, the value of
R-Square (R2) in this research is 0.650. This
model's R-Square model shows that e-
payment (X1), e-customer reviews (X2), and
e-rating (X3) have a 65% impact on online
purchasing decisions (Y), with the rest
affected by factors not investigated in this
research (See table 5)
Hypothesis testing
In this study, the path coefficient, which
is the t-statistic value between the
independent variable and the dependent
variable (direct effect), was used to judge
how important the predictive model was in
structural testing.
Table 7. Path Coefficients
Hypothesis
Original
Sample
Sample
Mean
Standard
Deviation
T
statistics
P values
Decision
E-CR -> OPD
0.146
0.155
0.078
1.874
0.062
Rejected
E-R -> OPD
0.235
0.230
0.077
3.060
0.002
Accepted
E-P -> OPD
0.502
0.497
0.085
5.884
0.000
Accepted
Sources: processed data (2023)
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This study found that e-customer
review (E-P) positively impacts online
purchasing decisions (OPD) as the p-value
is 0.0000 < 0.005 meaning that the first
hypothesis in this research is accepted. On
the contrary, according to this study, there
is no effect of e-customer review (E-CR) on
online purchasing decisions (OPD) as the p-
values are 0.062 greater than 0.005.
meaning that the second hypothesis in this
research is accepted. Finally, this study
found that e-customer rating (E-R)
positively impacts online purchasing
decisions (OPD) as the p-value is 0.0000 <
0.005 meaning that the third hypothesis in
this research is accepted.
DISCUSSIONS
The impact of online consumer reviews on
purchase decisions
The findings of testing the first hypothesis
(H1) show that e-customer reviews did not
influence online purchasing decisions, with
a t statistic value of 1.874 t = 1.90. The
findings of this research contrast earlier
findings, which indicate that e-customer
reviews have an impact on online
purchasing decisions (Fransiscus et al.,
2022; Priangga & Munawar, 2021; Sianipar
& Yoestini, 2021; Suryani et al., 2022). This
explains why e-customer reviews have yet
to become a consumer reference in the
Indonesian marketplace (Fransiscus et al.,
2022). In other words, in the Indonesian
market, e-customer reviews are not yet a
promotional media that might influence
online purchase decisions
The impact of e-rating on online
purchasing decisions
The results of proving the second
hypothesis (H2) show that e-customer
rating has a positive and significant
influence on online buying behavior,
particularly purchase decisions, with a t
statistic value of 3,060 > t table value of
1,960. This indicates that e-ratings have a
significant impact on online purchasing
decisions because the rating feature allows
individuals to compare a product to other
products based on their own experience.
Positive consumer ratings may foster a
feeling of confidence or trust in new
prospective customers when making online
purchasing decisions. Thus, the results of
this study are supporting the results of the
previous studies (Hanifah & Wulandari,
2021; Julianti & Aini, 2019; Pustap Shaddai
& Wulandari, 2020).
The impact of e-payment on online
purchasing decisions.
With a t statistic value of 5,884 > the t table
value of 1,960, the findings of the third
hypothesis test (H3) demonstrate that e-
payment has a positive and substantial
influence on online buying behavior,
particularly purchase choices. E-payment
has a significant impact on buying choices
since it provides several benefits to
customers, such as the convenience of
transactions and application of features,
transaction security, and privacy.
Furthermore, when customers make online
purchases, the ease and security of
payment in the marketplace impact the
majority of purchase decisions. As a result,
this data confirms and supplements
previous studies (Astuti & Diansyah, 2022;
Virgo Simamora
1
Paras Islami
2
| 1717
Lestari & Ramadani, 2022; Naufalia, 2022).
CONCLUSIONS
The results of this research explain the
preferences and behaviors of millennials
and members of Generation Z when it
comes to purchasing online. This study's
findings suggest that online customer
reviews do not prove to affect consumers'
choices to make purchases online. The
results of this research explain the
preferences and behaviors of millennials
and members of Generation Z when it
comes to purchasing online. Furthermore,
this study's findings indicate that e-
customer ratings have a positive and
significant impact on online purchasing
behavior, especially in the context of
making a purchase decision. Finally, this
analysis shows that generation Z and
millennials' online buying behavior is
affected positively and significantly by the
availability of e-payment options in the
Indonesian market. Many of these features
would be helpful to prospective buyers, but
they are underutilized for a variety of
reasons. These include the fact that current
buyers lack the expertise to make use of
them and the fact that new buyers put too
much stock in the opinions of existing
buyers on the marketplace.
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