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The Importance of Consumer Satisfaction for E-
Commerce Users: How That Affects Consumer Behavior
on Consumer Satisfaction?
Ratih Hadiantini*, Silalahi and H Hendrayati
Faculty of Economic and Business, Universitas Informatika dan Bisnis Indonesia, Bandung, Indonesia
*Corresponding author. Email: ratih.hadiantini@unibi.ac.id
ABSTRACT
E-commerce is a business model that performs transactions using the internet and is implemented digitally to
facilitate transactions between organizations and individuals. E-commerce covers the process from
distribution, sale, purchase, marketing and service of a product which is carried out in an electronic system,
namely the internet. E-commerce competition in Indonesia is very fierce because many e-commerce from
abroad also compete and become the prima donna in Indonesia. In this study, the value of the influence of
customer value, customer experience, user experience, brand image, price, productivity, service quality and
trust in customer satisfaction will be sorted. The research conducted is descriptive analytic which will explain
what factors affect consumer satisfaction in shopping on e-commerce. The approach used in this research is
the cross section approach, in which the measurement of the variable is only done with momentary
observations or in a certain period and each study is only carried out once. The research was conducted on
respondents who had purchased online via e-commerce, either directly from the website or via the mobile
application. The results of data analysis show that there are variables that significantly affect customer
satisfaction. The amount of influence obtained includes user experience, customer experience, promotion,
service quality, brand image, customer value, trust and price. The amount of influence for user experience is
15.3%, customer experience 13.9%, promotion 7.5%, service quality 27.6%, brand image 27.4%, customer
value 18, 4%, trust 10.15 and price 1.2%.
Keywords: E-commerce, consumer satisfaction, Consumer Behavior
1. INTRODUCTION
The development of technology at this time cannot be
denied that it is also supported by the industrial revolution
which has shifted to the digital area increasingly for
consumers and business people to make more use of
technology in their daily lives. Business models that are
increasingly developing by utilizing existing technology
and shifting consumer behavior lead entrepreneurs to be
better at making innovations so as not to be defeated by
their competitors. To increase business and sales, many
company used electronic commerce (e-commerce). E-
commerce is a business model that conducts transactions
using the internet and is implemented digitally to facilitate
transactions between organizations and individuals. E-
commerce covers the process from distribution, sale,
purchase, marketing and service of a product which is
carried out in an electronic system called internet [1].
The role of technology is very important and influences
every business activist in running a business. By utilizing
the role of technology in carrying out business processes,
companies in providing services to their customers will be
faster. Because basically every company has a goal that to
create optimal customer satisfaction. One of the factors
that affect customer satisfaction is service quality, the
aspect that is measured in the quality of service for a
service is whether the user is satisfied or not when using
the service so that from this aspect it can be seen whether
the quality of the service provided is good or not [2].
Service quality is not the only factor that determines
customer satisfaction. Consumers also often viewed in
terms of prices, a lack of compatibility between price and
quality of products or services obtained is one factor that
can determine customer satisfaction [3]. There are also
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Proceedings of the First International Conference on Science, Technology, Engineering and
Industrial Revolution (ICSTEIR 2020)
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other factors that can affect customer satisfaction,
including brand image, promotion and trust [4].
Consumer trust in online shopping is a difficult obstacle
for dealing with the attitude of consumer behavior. The
number of cyber crimes is one that affects consumer trust
in e-commerce.
Competition in Indonesia is very fierce because many e-
commerce from aboard compete and become in the first
rank on market share in Indonesia. The following is a map
of e-commerce in Indonesia based on the average website
visitors in each quarter, ranking of applications and
followers on social media.
Table 1 Rank E-commerce in Indonesia
Order
Q4 2018
Q4 2019
Q2 2020
1
Tokopedia
Shopee
Shopee
2
Bukalapak
Tokopedia
Tokopedia
3
Shopee
Bukalapak
Bukalapak
4
Lazada
Lazada
Lazada
5
Blibli
Blibli
Blibli
From Table 1 shows that currently e-commerce in the first
rank is Shopee, where we know that Shopee is an e-
commerce merchant that does not come from Indonesia.
Increase rapidly from rank 3 to rank 1 has shifted the e-
commerce which comes from Indonesia, namely
Tokopedia. This sequence is based on the number of visits
a website, app downloaders car and followers on social
media. The consumer experience in shopping on a website
or e-commerce application is the most important thing to
form consumer satisfaction. The user experience is
generated from the product itself used in real life. User
experience is often overlooked even though it is one of the
assessment of whether the product can be considered a
success or not [5]. To retain customer loyalty we need a
strategy that not only focus on quality but also on
customer experience that can increase consumer’s
satisfaction. Customer experience is the internal and
subjective response of consumers as a result of direct or
indirect interactions with the company [6]. Consumer
value is also very important as a consumers overall utility
assessment of the product based on their perception [7].
When a product can meet customer value, the customer
will feel happy and satisfied because of what he hoped for
in accordance with what they have earned.
Based on the phenomenon that has been described in this
study will be sorted the influence of customer value,
customer experience, user experience, brand image, price,
promotion, service quality and trust to customer
satisfaction.
2. LITERATURE REVIEW
2.1 Consumer Satisfaction
Consumer satisfaction is an emotional response that is felt
by consumers on the evaluation of product that their
consumed [7]. According to Kotller and Keller (2012)
satisfaction is a feeling of pleasure or disappointment in
someone who appears after comparing the performance or
results of a product that is thought to the performance or
expected results. If the performance feels below, the
consumer is not satisfied. If the performance exceeds
expectations, the consumer will be very happy or satisfied.
Consumer satisfaction is the perception of a product or
service that has met expectations. Therefore, consumers
will not be satisfied, if consumers have the perception that
met their expectations [8]. Consumer satisfaction is a
response or assessment of the performance of the product
or service. Following are the dimensions of customer
satisfaction according to Tjiptono (2011): (1) Overall
Satisfaction; (2) Confirmation of Expectation and (3)
Comparison to Ideal And indicators of customer
satisfaction are (a) desire or expectation of consumers to
continue using the services; (b) consumers' willingness to
recommend to others and (c) satisfied with the quality of
services provided.
2.2 Customer Value
Zenithal give a definition or understanding of customer
value as an overall assessment of consumer to the utility of
a product based on perceptions of what is acceptable and
what is given [7]. Customer value is the consumer
perception of the value of top quality offered relatively
higher than competitors will affect the level of consumer
loyalty, the higher the value perceived by the customer by
customer, the greater the likelihood of a relationship
(transaction) [9]. Dimensions of customer value according
to Tjiptono (2005:298), among them are: (a) emotional
value; (b) social value; (c) quality / performance value; (d)
price / value of money.
2.3 Customer Experience
Customer experience is the customer feedback internally
and subjectively as a result of interaction directly or
indirectly with the company. This direct relationship is
usually due to the initiative of the consumer. This usually
occurs in the purchasing and service department. While the
indirect relationships often involve unplanned encounters,
such as the appearance of the product and the brand,
advertising, and other promotional events [10]. Customer
experience is as stimulating cognitive recognition or
perception of customer motivation. This recognition or
perception can increase the value of products and services.
Customer experience is the result of consumer interactions
with companies physically and emotionally [11].
Successful businesses are influenced by consumer interest
in the product, service or the company itself, authentic
experiences that create personal value. In this case,
consumer experience is a growing priority in marketing
research, because consumer experience determines the
quality perceived by consumers in competitive
Advances in Social Science, Education and Humanities Research, volume 536
97
competition. Consumer experience has a different concept
with the quality of service because it requires the
appropriate measurement [12]. Here is an indicator of
customer experience : (a) Sense, which is owned by the
human senses as a means to taste the products and services
offered; (B) Feel, the flavor is displayed through ideas,
pleasures, and reputation for customer service; (C) Think,
that intelligence requires experience with the aim of
creating cognitive and problem-solving experience with
creatively engaging consumers; (D) Act, which is designed
to create a consumer experience that relates to the physical
body; (D) Relate, the relationship with other people, other
social groups (such as employment, lifestyle) or a wider
social identity.
2.4 User Experience
User Experience (UX) is the perception and response of
users as a reaction to the use of a product, system or
service. User Experience is how users feel pleasure and
satisfaction from using a product, seeing or holding the
product. UX cannot be designed by a designer but a
designer can design a product that can produce UX. User
experience or user experience is a consequence of the
user's internal state. Usir experience consists of four
elements, namely: usability, valuable, adoptability, and
desirability.
2.5 Brand Image
Brand image is a set of beliefs, ideas, and impressions that
a person has about a brand. Therefore, consumer attitudes
and actions towards a brand are largely determined by the
brand image [4]. Brand image refers to a memory scheme
for a brand, which contains consumer interpretations of the
attributes, advantages, uses, situations, users, and
characteristics of marketers and / or characteristics of the
manufacturer of the product / brand. Brand image is what
consumers think and feel when they hear or see the name
of a brand [13]. Brand image is a set of associations about
a brand that is stored in the mind or memory of consumers.
[14]. Brand image is the consumer's assessment of the
brand in a market. This creation can be created based on
personal experience or hearing its reputation from other
people or the media [15].
2.6 Price
The amount of money charged for a product or service.
From the above definition, it can be concluded that price is
the amount of money paid or exchanged to obtain goods or
services to get the benefits of owning or using goods and
services. Price is something that is needed to get a
combination of services plus products by paying a fixed
amount of money [16]. Price is a monetary unit or other
measure including other goods and services that are
exchanged in order to obtain ownership or user rights for
goods and services [7]. The Price isdimentions are :
Cost oriented pricing, is pricing that is solely to
take into account costs and is not market
oriented. It consists of two types: a. Mark up
pricing and b. Target pricing,
Demand oriented pricing, determining the price
by considering the state of demand, market
conditions and consumer desires, consists of: a.
Perceived value pricing, and b. Demand
differential pricing
Competition oriented pricing, set a selling price
oriented to competitors, consisting of: a. Going
rate pricing, and b. Sealed bid pricing,
2.7 Promotion
Promotion is one of the variables in the marketing mix that
is very important for companies to implement in marketing
their products or services Kotler and Keller (2012: 496)
suggest that promotion is a means by which companies try
to inform, persuade and remind consumers either directly
or indirectly about a product and the brand they sell. The
notion of promotion is one of the priorities of marketing
activities that are notified to consumers that the company
is launching new products that tempt consumers to make
purchases. Promotion means activities that communicate
the merits of the product and persuade targeted customers
to buy it. This means that promotion is an activity that
communicates the benefits of a product and persuades
target consumers to buy the product. Promotion
Dimensions according to Kotler and Keller (2012);
Sales frequency is the number of promotions carried
out at one time through sales promotion media
1. The quality of promotion is a measure of how well the
promotion is carried out, for example, such as content,
attractive design, position and media used, and so on.
2. Timeliness or suitability of targets is a necessary
factor to achieve the desired targets of the company.
3. Time of promotion is the length of time or duration of
the promotion carried out by the company
2.8 Service Quality
Service Quality is something that consistently meets or
exceeds consumer expectations. Any action or activity that
can be offered by one party to another, and basically
services are intangible and do not result in any ownership.
The dimension of service quality according to Tjiptono,
projects a service quality model and divides it into five
Advances in Social Science, Education and Humanities Research, volume 536
98
dimensions: physical evidence, reliability, responsiveness,
assurance, and empathy.
2.9 Trust
Trust is a characteristic that is determined by factors of
uncertainty, volatility and dependence. Trust is defined as
the dimension of a relationship that determines the degree
to which a party feels that they can trust the integrity of the
promises offered by the other party . Trust (trust) in this
case is a feeling to be able to trust the other party for all
the promises that have been given. explained that the
relationship between companies and consumers is largely
determined by trust and commitment [18]. Trust is related
to emotional bonding, namely the ability of a person to
entrust a company or brand to carry out a function, so that
it can be estimated that trust will have a positive
relationship with repurchase interest and loyalty. The
successful business is influenced by consumer interest in
products, services or the company itself, authentic
experiences that create personal value. In this case,
consumer experience is a growing priority in marketing
research, because consumer experience determines the
quality perceived by consumers in competitive
competition. The consumer experience has a different
concept from service quality because it requires
appropriate measurement. Dimensions of trust;
a. Trusting Belief
Trusting belief is the extent to which a person
believes and feels confident about other people
in a situation. Trusting belief is the perception of
the believer (consumers) to trusted parties where
the company has characteristics that will benefit
consumers. In ref [19], states that there are three
elements that build trusting belief, namely
trusting belief, namely benevolence, integrity,
competence.
b. Trusting intention
Trusting intention is a deliberate thing where a
person is ready to depend on others in a
situation. This happens privately and leads
directly to other people. Trusting intention is
based on a person's cognitive trust in others.
state that there are two elements that build
trusting intention, namely the willingness of
consumers to depend on the company and the
willingness of consumers subjectively. 1)
Willingness to depend, 2) Subjective probability
of depending [19].
3. METHODOLOGY
The research conducted is descriptive analytic which will
explain what factors affect consumer satisfaction in
shopping on e-commerce. The approach used in this study
is the cross sectional approach, where the measurement of
the variable is only done by observing a moment or in a
certain period and each study is only carried out once [9].
The research was conducted on respondents who have
purchased online via e-commerce, either directly from the
website or via the mobile application. The variables in this
study are divided into two, namely the graphical variable
and the independent variable. The independent variables
used in this study are customer satisfaction and the
independent variables used are customer value, customer
experience, user experience, brand image, price,
promotion, service quality and trust. Figure 1 below is a
distinguishing framework in this study:
Figure 1. Research Framework
The instrument used in this study was a questionnaire,
where the questionnaire was distributed to 150
respondents, but only 116 respondents returned the
questionnaire. So the sample used in this study were 116
respondents. The hypothesis in this study is:
H0 : There is no significant influence between variables
User Experience (X1), Customer Experience (X2),
Promotion (X3), Service Quality (X4), Brand
Image (X5), Customer Value (X6), Trust (X7), and
Price (X8) to Customer Satisfaction (Y).
H1 : There is a significant influence between variables
User Experience (X1), Customer Experience (X2),
Promotion (X3), Service Quality (X4), Brand
Image (X5), Customer Value (X6), Trust (X7), and
Price (X8) to Customer Satisfaction (Y).
4. RESULTS AND DISCUSSION
Following are the results of the analysis of data that have
been processed using SPSS:
Advances in Social Science, Education and Humanities Research, volume 536
99
4.1 Multicollinearity Test
Multicollinearity test aims to test whether the regression
model found a correlation between independent variables.
A good regression model should be independent, there is
no correlation between the independent variables. If there
is a correlation, then there is a multicollinearity problem.
The value that is commonly used to indicate
multicollinearity is the tolerance value < 0.1 or equal to
value of VIF > 10. otherwise if VIF < 10 then
multicollinearity does not occur.
Table 2 shows that the value of VIF (variance inflation
factor) < 10 then multicollinearity does not occur (non-
multikolinearitas).
Table 2 Multicollinearity Test
Model
Unstandardized
coefficients
T
Sig.
Collinearity
Statistics
B
Std.
Beta
Toler
ance
VIF
Error
(Constant)
4.672
2.090
2.235
.027
X1
.153
.088
.147
1.730
.087
.873
1.146
X2
.139
.121
.102
1.145
.255
.805
1.242
X3
.075
.143
.045
.529
.598
.871
1.148
X4
.276
.101
.250
2.721
.008
.754
1.326
X5
.274
.131
.201
2.088
.039
.687
1.456
X6
.184
.121
.138
1.525
.130
.776
1.289
X7
.101
.176
.050
.573
.568
.830
1.204
X8
.012
.102
.011
.122
.903
.739
1.353
4.2 Heteroscedasticity Test
Heteroscedasticity was tested using the Spearman rank
correlation coefficient test, which was to correlate the
absolute residuals of the regression results with all
independent variables. If the significance of the correlation
results is less than 0.05 (5%) then the regression equation
contains heterocedasticity and vice versa non
heteroscedasticity.
Table 3 Heteroscedasticity Test
No.
Variable
Correlation
Coefficient
Sig
>0.05
1
X1
-.017
.854
2
X2
-.076
.419
3
X3
-.027
.773
4
X4
.108
.248
5
X5
-.152
.104
6
X6
-.094
.318
7
X7
-.005
.958
8
X8
.021
.824
Table 3 shows that the tested variables did not contain
heteroscedasticity. The significance of the correlation
results> 0.05 means that there is no correlation between
the size of the data and the residuals so that if the data is
enlarged it does not cause the residuals (errors) to get
bigger too.
4.3 Autocorrelation Test
This assumption test aims to determine whether in the
regression model there is a correlation between
confounding error in period t and confounding error in
period t-1 (previous). If there is a correlation, it is called an
autocorrelation problem. The criteria for autocorrelation-
free decision making are done by looking at the Durbin-
Watson value, where if the D-W value is close to 2, the
assumption is that there is no autocorrelation.
Table 4 Autocorrelation Test
R Square
Adjusted R Square
Durbin –Watson
2
.321
.271
1.923
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100
Table 4 shows that the dew value is 1,923 then this value
is compared to 2. Because this value is very close to 2, the
assumption of no autocorrelation is fulfilled.
4.4 Normality Test
The normality test is intended to determine whether the
residuals of the regression model studied are normally
distributed or not. The method used to test for normality is
by using the Kolmogorov-Smirov test. If the significance
value of the Kolmogorov-Smirnov test results> 0.05, the
normality assumption is fulfilled.
Table 5. Normality Test
Kolmogorov-Smirnov Z
Significance
> 0.05
.548
.925
Based on Table 5, it shows that the result of significance is
0.548 > 0.05, the normality assumption is fulfilled. The
value of the Kolmogorov-Smirnov Z test results asymp.sig.
(2-tailed) of 0.548, so it can be concluded that the residuals
are normally distributed. This means that the equation built
by variable X on variable Y gives a normal distribution
because the probability is> 0.05 so it is feasible to use
further tests.
Figure 2 Normal P-P Plots
The residual normality test using the graphical method is by
looking at the distribution of data on the diagonal sources
on the Normal P-P Plot of regression standardized residual
graphs. As a basis for decision making, if the points spread
around the line and follow the diagonal line, the residual
value is normally distributed.
Figure 2 shows the Normal P-P Plot Graph, it can be seen
that the points spread around the line and follow the
diagonal line, then the residual value has a normal
distribution.
4.5 Multiple Linear Regression Analysis
Multiple linear regression analysis is used to determine the
influence of the User Experience (X1), Customer
Experience (X2), Promotion (X3), Service Quality (X4),
Brand Image (X5), Customer Value (X6), Trust (X7)
variables. , and Price (X8) to Customer Satisfaction (Y).
The results of these calculations can be seen in Table 6.
Based on the results of Table 6, it can be seen that the
results of the multiple linear regression model are as
follows: Y = 4.672 + 0.153X1 + 0.139X2 + 0.075X3 +
0.276X4 + 0.274X5 + 0.184X6 + 0.101X7 + 0.012X8
Based on the multiple linear regression model above, it is
described as follows:
1. Each contribution made by the user experience will
affect customer satisfaction (Y) by 15.3% with the
assumption that attractiveness, efficiency, convenience
and trust can increase customer satisfaction by 15.3%.
2. Each contribution made by customer experience will
affect consumer satisfaction (Y) by 13.9% with the
assumption that sensory experience, emotional
experience, and social experience can increase
customer satisfaction by 13.9%.
3. Each contribution made by the promotion will affect
consumer satisfaction (Y) by 7.5% with the
assumption that using promotion through advertising
and promotion by giving gifts can increase customer
satisfaction by 7.5%.
4. Each contribution made by service quality will affect
customer satisfaction (Y) by 27.6% with the
assumption that reliability, responsiveness, assurance
and empathy can increase customer satisfaction by
27.6%.
5. Each contribution made by the brand image will affect
customer satisfaction (Y) by 27.4% with the
assumption that favorable competition and benefits
can increase customer satisfaction by 27.4%.
6. Each contribution made by customer value will affect
customer satisfaction (Y) by 18.4% with the
assumption that the functional indicators, performance
and sacrifices provided by Tokopedia can increase
customer satisfaction by 18.4%.
7. Every contribution made by trust will affect customer
satisfaction (Y) by 10.1% with the assumption that
sincerity, integrity and the existence of a harmony can
increase customer satisfaction by 10.1%.
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101
Table 6. Recapitulation of the Results of Multiple Linear Regression Analysis
8. Each contribution made by price will affect customer
satisfaction (Y) by 1.2% with the assumption that price
compatibility and price competitiveness can increase
customer satisfaction by 1.2%.
9. The value of Adjusted R Square (Coefficient of
Determination) shows a value of 0.271 or 27.1%
indicating that the ability to explain the independent
variables is User Experience (X1), Customer
Experience (X2), Promotion (X3), Service Quality
(X4), Brand Image (X5). ), Customer Value (X6),
Trust (X7), and Price (X8) to Customer Satisfaction
(Y) of 27.1%, while the remaining 72.9% is explained
by other variables outside the 8 independent variables
which are not included in the model.
10. Standard Error of Estimates is 2.64005 in this case the
smaller the SEE makes the regression model more
precise in predicting the dependent variable.
4.6 Hypothesis Testing
There are two hypotheses to be tested by using multiple
linear regression analysis. The aim is to test and find out
about the influence of User Experience (X1), Customer
Experience (X2), Promotion (X3), Service Quality (X4),
Brand Image (X5), Customer Value (X6), Trust (X7), and
Price ( X8) on Customer Satisfaction (Y) to show whether
all the independent variables included in the model have a
significant effect together (Simultaneously) on the
dependent variable, the F test is used to determine whether
individual independent variables have a significant effect
on the dependent variable and to prove the variable which
one is the most dominant then the standardized t test and
Beta Coefficient are used. Based on the results of SPSS ver
26.0, the following results were obtained.
The F test is used to test whether all the independent
variables are jointly or simultaneously, namely User
Experience (X1), Customer Experience (X2), Promotion
(X3), Service Quality (X4), Brand Image (X5), Customer
Value (X6), Trust (X7), and Price (X8) on Customer
Satisfaction (Y).
The analysis above has 9 variables, namely Y, X1, X2, X3,
X4, X5, X6, X7 and X8, then you will get the value of k =
9 and the number of samples is 116. So you will get the
degree of numerator k-1 = 9- 1 = 8, for the denominator the
value (nK) will be obtained 116-9 = 107 with a real level of
5%. Then it will be found the value of the F table with the
numerator degree 8 and the denominator degree 107 is
2.02. Shows that the calculated F value is greater than the F
table (F count ≥ F table).
Based on Table 7, it shows that the simultaneous
hypothesis test results (F test) from the calculation results
obtained the calculated F value of 6.336 (significance F =
0.000). So F count> F table (6.336> 2.02) or sig F <5%
(0.000 <0.05). This means that together the independent
variables consisting of User Experience (X1), Customer
Experience (X2), Promotion (X3), Service Quality (X4),
Brand Image (X5), Customer Value (X6), Trust (X7) ), and
Price (X8) has a significant effect on Customer Satisfaction
(Y).
Model
Unstandardized
coefficients
T
Sig.
Collinearity
Statistics
B
Std.
Beta
Tolerance
VIF
Error
(Constant)
4.672
2.090
2.235
.027
4.672
2.090
X1
.153
.088
.147
1.730
.087
.153
.088
X2
.139
.121
.102
1.145
.255
.139
.121
X3
.075
.143
.045
.529
.598
.075
.143
X4
.276
.101
.250
2.721
.008
.276
.101
X5
.274
.131
.201
2.088
.039
.274
.131
X6
.184
.121
.138
1.525
.130
.184
.121
X7
.101
.176
.050
.573
.568
.101
.176
X8
.012
.102
.011
.122
.903
.012
.102
R
567
R Square
321
Adjusted R Square
271
Fhitung
6.336
Ftabel
2.02
Sig F
0
Ttabel
1.98
N
166
Advances in Social Science, Education and Humanities Research, volume 536
102
Table 7. Simultaneous Hypothesis Test for Regression Model
5. CONCLUSION
The results of data analysis show that there are variables
that significantly affect customer satisfaction. The amount
of influence obtained includes user experience, customer
experience, promotion, service quality, brand image,
customer value, trust and price. The amount of influence
for user experience is 15.3%, customer experience 13.9%,
promotion 7.5%, service quality 27.6%, brand image
27.4%, customer value 18.4%, trust 10.15 and price 1.2%.
If ordered, the value of the greatest influence on customer
satisfaction is service quality, brand image, customer value,
user experience, customer experience, trust, promotion, and
finally price. This result proves that consumers who shop in
e-commerce really prioritize the services provided.
It is proven from the results of the influence test that
service quality is the most important thing, even price is the
last one. This proves that if the service is good, the price is
not a problem. In line with Lovelock's opinion, service
quality is something that consistently meets or exceeds
consumer expectations. So as long as they meet or even
exceed consumer expectations, consumers will not hesitate
to pay for the products and services they buy because they
feel satisfied, it can be seen from the value of the influence
of customer value on customer satisfaction.
Experience in visiting or using e-commerce applications is
also one of the factors that affect customer satisfaction,
because from these interactions consumers form an
impression of an e-commerce.
REFERENCES
[1] S. Santoso, J. Kauf, N. C. Aristo. The Information
System of Name Card Sales Based on Digital
Marketing to Improve Creativepreneur on College E-
Commerce Website. Aptisi Transactions On
Technopreneurship (ATT), 1 (1) (2019) 64-72. DOI:
https://doi.org/10.34306/att.v1i1.15
[2] M. Pakurár, H. Haddad, J. Nagy, J. Popp, J. Oláh.
The service quality dimensions that affect customer
satisfaction in the Jordanian banking
sector. Sustainability, 11(4) (2019) 1113. DOI: https://
doi.org/10.3390/su11041113
[3] T. M. Nisar, G. Prabhakar. What factors determine
e-satisfaction and consumer spending in e-commerce
retailing?. Journal of retailing and consumer
services, 39 (2017) 135-144. DOI: https://doi.org/10.1
016/j.jretconser.2017.07.010
[4] Kotler, Philip, K. L. Keller. Marketing Management
(13rd Edition). New Jersey: Pearson Prentice Hall,
International, 2012.
[5] Garrett, Jesse James. The Element of User
Experience: User Centered Design for the Web and
Beyond (Second Edition), Berkeley: Pearson Education,
2011.
[6] E. V. Bueno, T. B. B. Weber,E. L. Bomfim, H. T.
Kato. Measuring customer experience in service: A
systematic review. The Service Industries Journal, 39
(11-12) (2019) 779-798. DOI: https://doi.org/10.1080
/02642069.2018.1561873
[7] F. Tjiptono. Strategi pemasaran. Yogyakarta : Andi
Offset. 2008.
[8] H. Alzoubi, M. Alshurideh, B. Kurdi, M. Inairat. Do
perceived service value, quality, price fairness and
service recovery shape customer satisfaction and
delight? A practical study in the service
telecommunication context. Uncertain Supply Chain
Management, 8 (3) (2020) 579-588. DOI :10.5267/j.usc
m.2020.2.005
Hypothesis
Value
Judgment
H0: (there is no significant influence between User Experience
(X1), Customer Experience (X2), Promotion (X3), Service Quality
(X4), Brand Image (X5), Customer Value (X6), Trust (X7), and
Price (X8) to Consumer Satisfaction (Y).
H1: (there is a significant influence between User Experience (X1),
Customer Experience (X2), Promotion (X3), Service Quality (X4),
Brand Image (X5), Customer Value (X6), Trust (X7), and Price
(X8) to Consumer Satisfaction (Y).
F = 6.336
Sig = 0.000
Ftabel = 2.02
α = 0.05
Reject H0
Accept H1
Advances in Social Science, Education and Humanities Research, volume 536
103
[9] O. S. Itani, A. N. Kassar, S. M. C. Loureiro. Value
get, value give: The relationships among perceived
value, relationship quality, customer engagement, and
value consciousness. International Journal of
Hospitality Management, 80 (2019) 78-90. DOI: https://
doi.org/10.1016/j.ijhm.2019.01.014
[10] K. Cleeren, M. G. Dekimpe, H. J. van Heerde.
Marketing research on product-harm crises: a review,
managerial implications, and an agenda for future
research. Journal of the Academy of Marketing
Science, 45 (5) (2017) 593-615.
[11] D. Grewal, M. Kroschke, M. Mende, A. L.
Roggeveen, M. L. Scott. Frontline cyborgs at your
service: How human enhancement technologies affect
customer experiences in retail, sales, and service
settings. Journal of Interactive Marketing, 51 (2020) 9-
25. DOI: https://doi.org/10.1016/j.intmar.2020.03.001
[12] M. Yoshida. Consumer experience quality: A
review and extension of the sport management
literature. Sport Management Review, 20 (5) (2017)
427-442. DOI: https://doi.org/10.1016/j.smr.2017.01.0
02
[13] H. Song, J. Wang, H. Han. Effect of image,
satisfaction, trust, love, and respect on loyalty
formation for name-brand coffee shops. International
Journal of Hospitality Management, 79 (2019) 50-59.
DOI: https://doi.org/10.1016/j.ijhm.2018.12.011
[14] Schiffman, Kanuk. Perilaku kosumen, Jakarta: PT.
INDEK, 2010.
[15] R. A. Raji, S. Mohd Rashid, S. Mohd Ishak.
Consumer-based brand equity (CBBE) and the role of
social media communications: qualitative findings from
the Malaysian automotive industry. Journal of
Marketing Communications, 25 (5) (2019) 511-534.
DOI: https://doi.org/10.1080/13527266.2018.1455066
[16] H. Boz, A. Arslan, E. Koc. Neuromarketing aspect
of tourısm pricing psychology. Tourism Management
Perspectives, 23 (2017) 119-128. DOI: https://doi.org/
10.1016/j.tmp.2017.06.002
[17] B. Chen, J. Chen. Compete in price or service?—a
study of personalized pricing and money back
guarantees. Journal of Retailing, 93 (2) (2017) 154-171.
DOI: https://doi.org/10.1016/j.jretai.2016.12.005
[18] E. Park, K. J. Kim, S. J. Kwon. Corporate social
responsibility as a determinant of consumer loyalty: An
examination of ethical standard, satisfaction, and
trust. Journal of Business Research, 76 (2017) 8-13.
DOI: https://doi.org/10.1016/j.jbusres.2017.02.017
[19] Z. Shao, L. Zhang, X. Li, Y. Guo. Antecedents of
trust and continuance intention in mobile payment
platforms: The moderating effect of gender. Electronic
Commerce Research and Applications, 33 (2019)
100823. DOI: https://doi.org/10.1016/j.elerap.2018.10
0823
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