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Jurnal Manajemen Indonesia (Vol 24(1), pp.45-56, 2024)
Online ISSN: 2502-3713 | Print ISSN: 1411-7835
Article info
Received (28/01/2023)
Revised (19/12/2023)
Accepted (01/04/2024)
Corresponding_mohamadrizan72@unj.ac.id
DOI: 10.25124/jmi.v24i1.5788
Copyright@2024. Published by School of Economics and Business – Telkom University
This Journal is available in Telkom University Online Journals
Jurnal Manajemen Indonesia
Journal homepage: journals.telkomuniversity.ac.id/ijm
Antecedents of Customer Loyalty: Study from Digital Transaction of E-
Wallet Apps
Mohamad Rizan1, Agung Kresnamurti Rivai1, Farah Chalida Hanoum Tejanagara1, Rianti Dea Rizky1
1 Faculty of Economics, Universitas Negeri Jakarta, Jakarta, Indonesia
Abstract
The purpose of this study is to explore the effect of service quality and perceived utility on customer loyalty in the
digital money business, with particular emphasis on the intervening function of consumer satisfaction. The
research method is quantitative, employing survey methodology. The sample for this study was made up of e-
wallet users who reside in DKI Jakarta and have made at least two online digital transactions with their e-wallet
in the last six months. All variables were trustworthy, valid, and met the standards of the investigation. SPSS and
Structural Equation Modeling were used to analyze the data (SEM). The data reveals that, first and foremost,
service quality and perceived utility affect customer satisfaction positively. Second, customer satisfaction
functions as a moderator between service quality, perceived utility, and client loyalty. Third, customer loyalty is
linked to service quality and perceived value, but only in a small way. As a result of this finding, consumer
satisfaction plays a critical role in fostering loyalty. The conclusion is that in the digital money business, superior
quality and utility may impact clients positively but do not always result in loyalty. To accomplish this, digital
currency players must place a premium on client pleasure.
Keywords— Customer Satisfaction; Perceived Usefulness,Service; Quality; Customer Loyalty
Abstrak
Tujuan dari penelitian ini adalah untuk mengeksplorasi pengaruh kualitas layanan dan persepsi utilitas terhadap
loyalitas pelanggan dalam bisnis uang digital, dengan penekanan khusus pada fungsi intervening kepuasan
konsumen. Metode penelitian yang digunakan adalah kuantitatif dengan menggunakan metodologi survei. Sampel
penelitian ini terdiri dari pengguna e-wallet yang berdomisili di DKI Jakarta dan telah melakukan setidaknya dua
kali transaksi digital online dengan e-wallet mereka dalam enam bulan terakhir. Seluruh variabel dapat dipercaya,
valid, dan memenuhi standar penyelidikan. SPSS dan Structural Equation Modeling digunakan untuk
menganalisis data (SEM). Data menunjukkan bahwa, yang pertama dan terpenting, kualitas layanan dan persepsi
utilitas mempengaruhi kepuasan pelanggan secara positif. Kedua, kepuasan pelanggan berfungsi sebagai
moderator antara kualitas layanan, utilitas yang dirasakan, dan loyalitas klien. Ketiga, loyalitas pelanggan
berhubungan dengan kualitas layanan dan nilai yang dirasakan, namun hanya dalam jumlah kecil. Sebagai hasil
dari temuan ini, kepuasan konsumen memainkan peran penting dalam menumbuhkan loyalitas. Kesimpulannya
adalah dalam bisnis uang digital, kualitas dan utilitas yang unggul dapat berdampak positif pada klien namun tidak
selalu menghasilkan loyalitas. Untuk mencapai hal ini, pemain mata uang digital harus mengutamakan
kesenangan klien.
Kata Kunci— Kepuasan Pelanggan; Kegunaan yang Dirasakan; Pelayanan; Kualitas; Kesetiaan pelanggan
I. INTRODUCTION
The Internet has been generating consumer empowerment for over a decade (Pires et al., 2006). One of the
advancements that we feel strongly about at this time is technology support. Data for 2020 shows that Indonesia
ranks the third highest growth in the world after India and China with a total growth of 17% of the population
accessing the internet, or the equivalent of 25.3 million accesses in a period of one year (wearesocial.com). The
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rapid development of internet technology for community displacement creates various support functions that are
easy to use, one of which is the payment function, which has now created non-cash payments via electronic money
(Statista, 2018).
Electronic payments continue to grow to meet consumer needs and demands as well as the needs of payment
systems in the e-commerce business. Therefore, electronic payments today have many functions, such as micro-
payments, electronic cash or digital money, smart cards, electronic checks, and e-wallets. Of course, it has
different functions, features, and advantages (Mahribi, 2016).Indonesians currently use several electronic wallets,
but based on data collected from Iprice, it can be concluded that the top three e-wallet holders with the most users
in Indonesia in 2019 are Go-Pay, OVO, and DANA (Iprice.co.id, 2019 ). DANA, OVO, Gopay to LinkAja are
electronic wallets that can be used for digital products such as credit cards, home shopping, e-Samsat, backups,
bank transfers, PLN electricity, PDAM water, postpaid, telecommunications, Internet, cable TV, natural gas,
games, providing payment services, digital certificates and other financial transactions (dana. id)
The primary problem with digital transactions is ensuring consumer satisfaction and loyalty. A service-
oriented strategy is critical for survival in today's intensely competitive technological economy. The company
must deliver an exceptional level of service to its consumers in order for them to return and remain loyal to the
company (Gounaris et al., 2010). To maintain high levels of client satisfaction, it is vital to provide high-quality
services, which often result in positive behavioral intentions (Brady & Robertson, 2001). Applications that
incorporate high-quality systems, information, and electronic services are required for digital businesses to
succeed (Sharma & Lijuan, 2015).
Numerous studies have been conducted on the subject of e-service quality. Customer satisfaction and
repurchase proclivity are intricately connected to service quality attributes. Additionally, through an assessment
of online buying experiences, Cao et al. (2009) evaluated the effect of service quality on online loyalty. They
discovered that the quality of computer systems and electronic services has a significant impact on perceived
value, particularly perceived utility, which significantly impacts web consumer loyalty. This is why the study was
conducted.
This is corroborated by a study (Reddy & Sambaiah, 2019) that examines a variety of factors affecting e-wallet
users' loyalty in India, including perceived value, ease of use, trust, perceived security, and self. Previously, Kumar
et al (2018) demonstrated that while branding can help increase security perceptions, trust and customer
satisfaction have a significant influence on repurchase intentions. Wong et al. (2014) did the research. This shows
that how easy and useful an electronic service is to use has a big impact on how long people stay loyal and satisfied
with it. Additionally, it is vital to pay attention to the quality of services provided to clients, since this directly
affects the customer's perception of the brand or organization. El-Adly and Eid (2016) say that service quality
should be a marketing theme because it is linked to customer satisfaction, which is very important. Customer
satisfaction will grow as a result of positive service perceptions. In other words, service satisfaction and service
quality are related. Customer satisfaction is influenced by service quality. This is because it enables the company
to exceed consumer expectations, thereby pleasing customers and convincing them to choose the company's
services over competitors. With visible service quality or a high level of service quality and practicality, it is
reasonable to believe that customers will be satisfied and prefer the company's product above that of competitors.
This sense of satisfaction will influence consumer purchasing behavior in the future, fostering a sense of loyalty
since consumers tend to repurchase the company's items.
The purpose of this study is to contribute to the body of knowledge by examining the effects of service quality
and perceived utility on customer loyalty, with a focus on customer satisfaction as a moderating factor.
Additionally, this study will evaluate the relationship between perceived worth and loyalty. A previous study
indicated that customer perception has an indirect influence and that the effect is greater when satisfaction serves
as a mediator (Praditya et al., 2018).The other studies also state that product quality cannot directly affect loyalty
(Rizan et al., 2020). While other studies say that quality is one of the factors that determine customer loyalty
(Caluana, 2002). Therefore, this study will describe the differences between the two variables by examining the
relationship between the mediating variables. The goals of this research are as follows: (1) to analyze the impact
of service quality and perceived usefulness on satisfaction and loyalty and (2) to analyze the relationship and
impact of satisfaction as an intervening variable.
This research is important to do to develop the quality of digital wallets in Indonesia so that ease of transactions
can be achieved, one of which is by increasing customer trust and satisfaction to encourage their attractiveness in
switching to digital products.The novelty of this study focuses on the effect of intervening variables on customer
perceptions of using digital wallets or online transactions.
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II. LITERATURE REVIEW
A. Service Quality
The quality of services (such as online purchasing in e-commerce) with Internet digital-related applications is
frequently referred to as the quality of electronic services or the quality of electronic services. According to Wu
(2014), "electronic service quality" refers to an Internet network service that is an extension of a website's ability
to promote shopping, purchasing, and distribution operations successfully and efficiently.
To ensure client satisfaction and loyalty, the organization in this study must be able to provide high-quality
service. Businesses must be able to see their clients' demands and tailor their sales to satisfy those wants.
According to Kotler (2001, p. 175), the quality of a product (service or item) is "its capacity to perform its
functions, which include durability, reliability, strength, ease of use, and product maintenance, as well as other
desirable attributes. Tjiptono (2004) defines service quality as the desired level of excellence and the strictest
control essential to meet client expectations. Customers' expectations and how they have behaved are two of the
most important things affecting customer service.
Customer satisfaction indicates that customers believe a service has the potential or power to provide positive
sentiments or outcomes (Kuo et al., 2009). Earlier research has established a significant correlation between
service quality and client satisfaction (Kuo et al., 2009; Gounaris et al., 2010; Rizan et al., 2019; Kresnamurti et
al., 2020). An earlier study on conventional shopping indicates that service quality does affect customer
satisfaction (Cronin & Taylor, 1992; Jumawan, 2018). However, the same study (Kuo et al., 2003; Lee & Lin,
2005; Park & Leee, 2011; Kho, 2005; Rizan et al., 2020) demonstrated this effect with research on websites and
online shopping.
Loyalty is an old word that has been used for a long time to describe a person's loyalty to a country, a cause,
or humanity. (Lovelock, 2016). Loyalty in a business environment describes the willingness of customers to
continue patronizing the company for a long time (especially in exclusive situations) and recommending company
products to friends and colleagues (Lovelock, 2016). Customer loyalty is not limited to buying behavior; it makes
the company a priority, a favorite, and a future intention.
According to studies, service quality is a distinct criterion for evaluating a business's services. Customer
loyalty to particular services results in repurchases that benefit the business. Additionally, research indicates that
customer loyalty is determined by the consumer's perception of the service's quality (Chang et al., 2014; Kedah
et al., 2015; Jeon & Jeong, 2017; Mihajlovic, 2017; Pee et al., 2018; Rizan et al., 2019; Rizan et al., 2020). It has
been demonstrated that service quality has a significant impact on customer satisfaction and loyalty (Parasuraman
et al., 1985). It was found by Caruana (2002) and Zeithaml (1988), both of whom looked at customer satisfaction
as an intermediate or intervention variable, that customer loyalty was linked to satisfaction as an intermediate or
intervention variable.
According to the service literature (Taylor & Baker, 1994), customer satisfaction is an intervening variable in
the link between service quality and customer loyalty. Furthermore, research by Rizan et al. (2020) shows that
customer satisfaction and customer loyalty play a big role in online business.
Online transactions, which include buying and selling electronically, are greatly affected by the smoothness
of the application, the features provided, and the ease of payment. The completeness and convenience of the
product can increase satisfaction and make customers return to buy the product or visit the site. (Rizan et al., 2020)
The result shows that online transactions Therefore, it is hypothesized that:
H1: Service quality affects Customer satisfaction.
H4: Service quality affects Customer loyalty.
H6: Service quality affects customer loyalty mediated by customer satisfaction
B. Perceived Usefulness
Perceived usefulness is the estimation of the amount of benefit that can be received (Selli et al., 2016;
Trisnawati et al., 2019). Simultaneously, Revels et al (2014) state in Amin et al. (2014) that perceived practicality
is a critical component of innovation use and is tied to the practical value of cellular technology offered to clients.
Wang et al in Wida (2019), define perceived usefulness as the belief that adopting a certain system will improve
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one's performance. Perceived usefulness refers to a customer's perception or belief about the benefits of utilizing
a product or service to enhance their performance.
Service quality refers to one or more services provided to customers to meet customer needs, and it is expected
that these services can meet or exceed expectations. Perceived usefulness is a customer's view or belief about the
benefits of using this product or service to improve their performance.
According to Gloria and Achyar's (2016) research, when it comes to advertising mobile instant messaging, the
perceived utility has a significant impact on user satisfaction. According to previous research conducted by Zhou
and Lu (2011), perceived usefulness has a significant effect on customer satisfaction. Simultaneously, another
study (Trisnawati et al., 2019) discovered that perceived usefulness was acceptable but had no effect on customer
satisfaction among Grab users in Jambi. Gloria and Achyar (2016) revealed that perceived utility has a substantial
effect on customer loyalty toward mobile instant message promotions. Zhou and Lu's (2011) studies corroborate
this, demonstrating that perceived utility and customer loyalty are related. Previous research shows that when
people don't think their products are worth as much as they used to, they start buying them from other corporate
brands, which shows that they are less loyal to them. The usefulness of customer opinions has also been shown to
improve customer loyalty (Muflihadi & Rubiyanti, 2016; Yogananda & Dirgantara 2017; Ashghar & Nurlatifah,
2020), as well as other research.
According to Parreira et al. (2016), electronic client loyalty is assumed to indicate website repurchase intents
or revisiting behavior. It has been called customer loyalty, or online consumer loyalty, lately because it is a
customer's commitment to a website, making transactions through the website, and recommending the website to
other people (Suhartanto et al., 2019).
Reddy and Sambaiah's (2019) research, the relationship between security perceptions and customer loyalty is
influenced by customer pleasure. Additionally, this study shows that by integrating customer satisfaction as a
mediating or intervening component, the relationship between consumer-perceived usefulness and loyalty is better
explained. In addition, multiple studies have shown that customer loyalty is indirectly affected by a company's
perceived usefulness (Praditya et al., 2018; El-Adly & Idul Fitri, 2016; Rizan et al., 2020). The following
hypotheses are proposed as a result of these findings:
H2: Perceived usefulness affects customer satisfaction
H5: Perceived usefulness affects customer loyalty
H7: Perceived usefulness affects customer loyalty mediated by customer satisfaction
C. Customer Satisfaction
Customer satisfaction is viewed as a predictor of loyalty, which is derived from earlier consumer interactions
(Anderson & Srinivasan, 2003; Wu & Wang, 2005). Additionally, numerous studies have established that
customer satisfaction plays a role in loyalty and that boosting customer satisfaction can result in increased
customer loyalty (Srinivasan et al., 2002; Anderson & Srinivasan, 2003; Balbanis et al., 2006). Additionally,
numerous research studies reveal a strong and clear link between customer satisfaction and loyalty (El-Adly &
Eid, 2016; Rizan et al., 2014; Rizan et al., 2019; Rizan et al., 2020). Loyalty can be defined as consistent and
long-lasting purchasing behavior that encourages firms to maintain a favorable attitude (Chang & Chen, 2009).
Additionally, customer loyalty can be defined as a business's commitment to purchasing or disregarding a product
or service that is certain to remain popular in the future. Various factors impact this behavior, including the
website's influence and marketing efforts (Li, 2013). As a result, the following is hypothesized:
H3: Customer satisfaction affects customer loyalty
III. RESEARCH METHODOLOGY
A. Research Design
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Figure 1. The research framework
This study employs a quantitative methodology. This study aims to combine descriptive and causal approaches
(Malhotra, 2010). The survey sampled digital wallet users who reside in Jabodetabek (Jakarta, Bogor, Depok,
Tangerang, and Bekasi) and have completed at least two online transactions in the last six months.
B. Participants and Data Collection
The sample size was limited to 200 participants in order to minimize mistakes (Hair et al., 2011). The r-table
values are 0.138 at a 5% significance level, and the reliability is more significant than 0.6. All variable statuses
are valid and dependable if the prerequisites are met.
C. Instrument Development and Data Analysis
The Pearson Product Moment Correlation approach was used to establish validity, and the Cronbach Alpha
technique was used to determine reliability, both of which were completed using SPSS 22. Meanwhile, the
analysis was conducted using the SEM (Structural Equation Model) technique and the LISREL 8.8 program. This
study surveyed 145 people.
This study uses Structural equation model analysis because this analysis can validate the variables in the study,
which often results in unclear conclusions, thus requiring structural equation modeling that can be used to create
variable indicators simultaneously.
Structural equation modeling can estimate measurement errors by explicitly incorporating a variable for
measurement errors that match the observed variable's measurement errors. It can also be used to model and test
complex interaction patterns, like many different hypotheses.
IV. RESULT/FINDING
A. Confirmatory Factor Analysis
The Pearson test can be used to verify the investigation's validity. Pearson coefficients are considered valid if
they exceed the value specified in the r-table. The significance level for the r table in this study is 5%, and the
sample size is 200. Additionally, the researchers determined the reliability of each variable using the Cronbach's
Alpha test. Cronbach's alpha is deemed undesirable if it is less than 0.6, acceptable if it is 0.7, and good if it is 0.8.
(Ghozali & Latan, 2012). Each indication has an r value greater than or equal to 0.318. As a result, each research
metric is reliable. Each variable has a Cronbach's alpha value of more than 0.6 and more than 0.8, which means it
is good.
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Figure 2. Structural Equation Model Results
E-Service Quality. The service quality variable has 12 signs in the instrument test findings. Because their
values are less than 0.5, four indicators are removed from the model after the first-order construct. Their Goodness
of Fit Indices values don't meet the index value, so they are removed from the model.
Perceived Usefulness. Six indicators are included in the instrument test findings for the variable "perceived
usefulness." After processing the model in the first-order construct, no indicators are discarded, and evaluating
good fit indicators is considered to be successful because all assessments have marginal fit-to-fit values.
Customer Satisfaction. Customer satisfaction has five indicators in the instrument test findings. No indicators
were discarded after the model was processed in the first-order build. All of the results appear to be genuine, as
each indicator has a value greater than 0.5.
Customer Loyalty. The customer loyalty variable contains six signs in the instrument test findings. No
indicators were discarded after the model was processed in the first-order build. All of the results appear to be
genuine, as each indicator has a value greater than 0.5.
Table 1. First Order Construct
Variable
Goodness of Fit Indices
Cut-off Value
Result
Model Of Evaluations
E-Service
Quality
Chi-Square
< 3
0,00
Perfect Fit
CFI
≥ 0,90
0,97
Good Fit
RMSEA
≤ 0,08
0,08
Close Fit
RMSR
< 0,05
0,02
Goot Fit
TLI/NNFI
≥ 0,90
0,96
Good Fit
AGFI
≥ 0,90
0,89
Marginal Fit
GFI
≥ 0,90
0,94
Fit
Perceived
Chi Square
< 3
0,01
Perfect Fit
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Usefulness
CFI
≥ 0,90
0,98
Good Fit
RMSEA
≤ 0,08
0,08
close Fit
RMSR
< 0,05
0,01
Good Fit
TLI/NNFI
≥ 0,90
0,97
Good Fit
AGFI
≥ 0,90
0,85
Marginal Fit
GFI
≥ 0,90
0,94
Fit
Customer
satisfaction
Chi Square
< 3
0,5
Perfect Fit
CFI
≥ 0,90
1
Good Fit
RMSEA
≤ 0,08
0,02
Close Fit
RMSR
< 0,05
0,00
Good Fit
TLI/NNFI
≥ 0,90
1
Good Fit
AGFI
≥ 0,90
0,97
Good Fit
GFI
≥ 0,90
0,99
Fit
Customer
Loyalty
Chi-Square
< 3
0,08
Perfect Fit
CFI
≥ 0,90
1
Good Fit
RMSEA
≤ 0,08
0,04
Good Fit
RMSR
< 0,05
0,01
Close Fit
TLI/NNFI
≥ 0,90
1
Good Fit
AGFI
≥ 0,90
0,94
Good Fit
GFI
≥ 0,90
0,97
Fit
4.1. Test for Direct and Indirect Effects.
The results of the direct and indirect effects of the independent factors on the dependent variable are shown in
Table 2. As can be shown, service quality (X1) has a direct effect on customer satisfaction (Y) of 0.32, whereas
perceived usefulness (X2) has a direct effect on customer contentment of 0.59 (Y). Additionally, customer
satisfaction (Y) has a direct effect on customer loyalty of 0.59 (Z).
Table 2. Summary of hypothesis testing
Hypothesis
Variable
Standardized
Total Effect
t-Values
Interpretation
H1
CS
<—
SQ
0,32
2,03
Has a significant positive effect
H2
CS
<—
PU
0,59
2,84
Has a significant positive effect
H3
CL
<—
CS
0,59
2,55
Has a significant positive effect
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H4
CL
<—
SQ
0,28
0,54
Has a unsignificant positive effect
H5
CL
<—
PU
0,44
0,46
Has a unsignificant positive effect
H6
CL
CS
SQ
0,19
2,22
Has a significant positive effect
H7
CL
CS
PU
0,34
2,56
Has a significant positive effect
The effect of service quality (X1) on customer loyalty (Z) is 0.09 in the direct direction and 0.19 in the indirect
direction, for a total effect of 0.09 on customer satisfaction is 0.28 (0.19 + 0,9). While perceived usefulness (X2)
has a direct influence of 0.10 and an indirect effect of 0.34 on customer loyalty (Z), the total effect of perceived
usefulness on customer loyalty is 0.44. The customer satisfaction variable in this study model also plays a role in
explaining how much of an indirect effect there is. It acts as a link between service quality, perceived value, and
customer loyalty (see Table 2).
V. DISCUSSION
The goal of this study was to evaluate customer loyalty in online money transactions and to develop new
knowledge about the single most important factor affecting customer loyalty via satisfaction: customer loyalty.
Additionally, the study attempted to expand existing knowledge about how service quality and perceived
usefulness affect customer pleasure and loyalty in digital firms, particularly those that involve e-wallet
transactions. Table 5 summarizes the results of this study's hypotheses testing. Rita et al. (2019) and Ningsing et
al. (2019) suggested adapting the service quality instrument to other digital businesses in order to see if the quality
variable worked the same way across different sectors and industries, including the cultural industry.
The study revealed a favorable correlation between service quality (website design, security/privacy, and
fulfillment) and consumer satisfaction in the digital business market. As a result, a firm must pay increased
attention to these elements and seek out innovations that will improve their performance and service quality. As
demonstrated by the literature, there is a strong association between service quality and user satisfaction in digital
transactions. Not only did service quality have an effect on client satisfaction in this study, but another instrument
did as well. Perceived usefulness also had an impact on customer satisfaction, in which fulfillment of customer
needs is the highest indicator was given an impact (El-Adly, 2019; Konuk, 2019)
Surprisingly, in the e-money transaction as a digital wallet industry, service quality did not significantly directly
impact building customer loyalty. According to Wen and Fang (2014), customer service could be positive and
significantly build loyalty through satisfaction. In the same way, the study showed that digital wallet users choose
to be loyal just if they feel satisfied.
The same result was also found on the perceived usefulness of e-wallet customers. Wang and Prompanyo
(2020) found that usefulness, especially about function for upgrading performance transaction activity, builds an
un-significantly direct effect on customer loyalty instead of an effect through customer satisfaction. Contrarily,
this study found that satisfaction truly helps to build loyalty in digital wallet users. Customer who is satisfied
would positively and directly significantly impact their loyalty to e-products (Pereira, 2016). Customer
satisfaction could also operate as a mediator for another variable, such as service quality or perceived utility, in
order to increase customer loyalty.
Diverse digital business domains can provide a variety of outcomes depending on the characteristics and
dimensions of e-service quality that contribute to client loyalty. Thus, the findings of this study were compared to
those of a previous investigation that examined the same variable. Rizan et al., 2020 conducted an analysis of
online transactions, specifically those involving e-commerce customers, and concluded that each company's
service quality has a unique assessment aspect that determines the customer's decision to repurchase the goods.
According to this study, service quality improves customer loyalty, specifically the fulfillment index. Perceived
usefulness has a tremendous impact on a customer's loyalty from the customer's perspective (Wang et al., 2019).
Customer evaluations of utility show that utility has a big impact on customer loyalty to mobile instant message
ads (Gloria & Achyar, 2016). According to this study, individuals who believe their transactions would benefit
them will be more loyal.
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VI. CONCLUSION AND RECOMMENDATION
This study is a comprehensive examination of client loyalty in online commerce. This analysis is exploratory
in nature and seeks to determine the effect of service quality and perceived customer value on transaction-based
online digital wallets. In this model, Wang and Prompanyo (2020), Konuk (2019), and Rasheed (2014) use the
four seven dimensions of service quality and three dimensions of perceived usefulness to figure out how each
variable affects customer satisfaction, which in turn affects customer loyalty, which in turn affects customer
satisfaction and loyalty.
This research develops service quality models that are more predictive of client loyalty than other frequently
used scales. The findings are likely to contribute to the expansion of knowledge in several fields of digital
transactions via e-wallet. The research shows that service quality and perceived usefulness are important for e-
wallet users to become more loyal to their company, with customer satisfaction acting as a mediator.
On the other hand, service quality and perceived utility have no direct impact on customer loyalty. Customers
are more likely to remain loyal when customer pleasure is a mediator between the two concepts of loyalty.
According to previous research, the quality of a product and how people think about it affects customer loyalty
through satisfaction.
The conclusion of the paper makes various practical and theoretical recommendations for future research and
discusses the ramifications of company-related regulation. Several of these solutions place a premium on
enhancing service quality through the elimination of errors. In addition, businesses that make digital transactions,
like e-wallet businesses, need to focus more on exceeding customer expectations in order to keep customers.
Relationship marketing, as proposed by Rizan et al. (2014), and product customization, as proposed by Chang and
Chen (2008), should be incorporated into theories of customer loyalty in new research. We can better understand
how the components interact and what the main effect is if we add another element
REFERENCES
Anderson, R.E., & Srinivasan,S.S., (2003). E-satisfaction and e-Loyalty: acontingency framework.
Psychol.Mark. 20(2),123–138.
Bloemer, J., De Ruyter, K. O., & Wetzels, M. (1999). Linking perceived service quality and service loyalty: A
multi-dimensional perspective. European Journal of Marketing, 33(11/12), 1082–1106.
Bloemer, J., & Odekerken-Schröder, G. (2002). Store satisfaction and store loyalty explained by customer- and
store-related factors. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 15, 68–
80.
Cho, J.E., Hu, H., 2009. The effect of service quality on trust and commitment varying across generations. Int.
J. Consum. Stud. 33 (4), 468–476.
Chang, H. H., & Chen, S. W. (2008). The impact of customer interface quality, satisfaction and switching costs
on e-loyalty: Internet experience as a moderator. Computers in Human Behavior, 24(6), 2927–2944.
https://doi.org/10.1016/j.chb.2008.04.014
Chang, H. H., & Chen, S. W. (2009). Consumer perception of interface quality, security, and loyalty in electronic
commerce. Information and Management, 46(7), 411–417. https://doi.org/10.1016/j.im.2009.08.002
Chang, S.-C., Chou, P.-Y., & Lo, W.-C. (2014). Evaluation of satisfaction and repurchase intention in online
food group-buying, using Taiwan as an example. British Food Journal, 116(1), 44–61. doi:10.1108/BFJ-
03-2012-0058
Chin, W. W., & Todd, P. A. (1995). One the use usefulness, and erase of use of structural equation modeling in
MIS research: a note of caution. MIS Quarterly, 237–246
Cronin, J. J., & Taylor, S. A. (1992). Measuring service quality: A reexamination and extension. Journal of
Marketing, 56(3), 55–68.
El-Adly, M. I., & Eid, R. (2016). An empirical study of the relationship between shopping environment,
customer perceived value, satisfaction, and loyalty in the UAE malls context. Journal of Retailing and
Consumer Services, 31, 217–227. https://doi.org/10.1016/j.jretconser.2016.04.002
Gounaris, S., Dimitriadis, S., & Stathakopoulos, V. (2010). An examination of the effects of service quality and
satisfaction on customers’ behavioral intentions in e-shopping. Journal of Services Marketing, 24(2), 142–
156. https://doi.org/10.1108/08876041011031118
Rizan et.al Jurnal Manajemen Indonesia (Vol 24(1), pp.45-56, 2024)
54
Hair, J. F., Ringle, C. M. & Sarstedt, M. (2011). PLS-SEM: indeed a silver bullet. Journal of Marketing Theory
and Practice, Vol. 19 No. 2, pp. 139-151.
Ha, S. & Stoel, L. (2012). Online Apparel Retailing: Roles of E-shopping Quality and Experiential E-shopping
Motives. Journal of Service Management, 23(2), 197-215.
Hsin Chang, H., & Wang, H. W. (2011). The moderating effect of customer perceived value on online shopping
behaviour. In Online Information Review (Vol. 35, Issue 3). https://doi.org/10.1108/14684521111151414
Jeon, M. M., & Jeong, M. (2017). Customers’ perceived website service quality and its effects on e-loyalty.
International Journal of Contemporary Hospitality Management, 29(1), 438–457. doi:10.1108/IJCHM-02-
2015-0054
Jumawan, J. (2018). The Effect of Service Quality on Loyalty using Satisfaction as an Intervening Variable
(Study on Entrepreneurs in Bekasi Bonded Zone). International Journal of Advanced Engineering,
Management and Science, 4(5), 389–394. https://doi.org/10.22161/ijaems.4.5.9
Kedah, Z., Ismail, Y., Haque, A., & Ahmed, S. (2015). Key success factors of online food ordering services: An
empirical study. Malaysian Management Review, 50(2), 19–36.
Kho, J. (2005). Analisis Pengaruh Websitedesign, Reliability, Customer Service, dan Trust Terhadap Online
Shopping pada Toko Gramedia Online. Journal of Management and Business Research, 6(10), 1-14.
Kotler, P., Armstrong G., S., J. & Wong, V. (2001). ‘Principles of Marketing,’ Harlow: Prentice Hall Europe
Kotler, P., & Keller, K. L. (2005). Marketing Management 12th Global Edition. Upper: Pearson Education
Limited
Kotler, P., & Keller, K. L. (2016). Marketing Management 15th Global Edition. Harlow: Pearson Education
Limited
Kresnamurti, A., Rivai, P., Rizan, M., & Wibowo, A. (2020). The Effect of Service Quality and Servicescape
on Behavioural Intention Intervening with Customer Satisfaction. International Journal of Innovation,
Creativity and Change, 12(12), 244–261.
Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value,
customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human
Behavior, 25(4), 887–896. https://doi.org/10.1016/j.chb.2009.03.003
Lee, G. G., & Lin, H. F. (2005). Customer perceptions of e-service quality in online shopping. International
Journal of Retail and Distribution Management, 33(2), 161–176.
https://doi.org/10.1108/09590550510581485
Li, J. (2013). Factors Affecting Customer Satisfaction and Customer Loyalty towards Belle Footwear Company
in Lanzhou City, Gansu Province of the People’s Republic of China. IOSR Journal of Business and
Management, 14(2), 41–48. https://doi.org/10.9790/487x-1424148
Lin, H. H., & Wang, Y. S. (2006). An examination of the determinants of customer loyalty in mobile commerce
contexts. Information & Management, 43, 271-282
Lovelock, C., & Wirtz, J. (2016). Services marketing: people, technology, strategy 8 e. Pearson Oliver, R.L.
(1997), Satisfaction. A Behavioral Perspective on the Consumer, McGraw-Hill, Boston, MA. New Jersey:
World Scientific Publishing Co. Inc
Magdalena, A., & Jaolis, F. (2018). Analisis Antara E-Service Quality, E-Satisfaction, dan E-Loyalty Dalam
Konteks E-Commerce Blibli. Program Manajemen Pemasaran, Universitas Kristen Petra, 5(2), 1–11.
Malhotra, N. K. (2010). Marketing Research An Applied Orientation. London: Pearson Education Inc.
Muhammadiyah, S., & Nurlaela, S. (2021). Entrepreuneurship Learning Based on Business Model Canvas
Creates Competitive Advantage.Academy of Strategic Management Journal, 20(1), 1-10.
Ningsih, E. R., Haryono, T., Sawitri, H. S. R., & Harsono, M. (2019). Measuring Perceived e-Services Quality
on Satisfaction of Islamic Saving and Credit Cooperatives. Addin, 13(1), 181.
https://doi.org/10.21043/addin.v13i2.5793
Parasuraman, A., Zeithaml, V. A., & Berry, L. (1985). A conceptual model of service quality and its implications
for future research. Journal of Marketing, Vol. 49, 41-50.
Parasuraman, A., Zeithaml, V. A., & Malhotra. (2002). Service quality deliver through web site: a critical review
of extant knowledge. Journal of Academy of Marketing Science, 30 (4), 362-375
Rizan et.al Jurnal Manajemen Indonesia (Vol 24(1), pp.45-56, 2024)
55
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL: A multiple item scale for assessing
electronic service quality. Journal of Service Research, 7(3), 213-233.
Park, B.W. & Lee, K.C. (2011). Exploring the Value of Purchasing Online Items. Journal of Computer in Human
Behavior, Vol. 27, pp. 2178-2185.
Pee, L., Jiang, J., & Klein, G. (2018). E-store loyalty: Longitudinal comparison of website usefulness and
satisfaction. International Journal of Market Research, 12, 1–17. doi:10.1177/1470785317752045
Pires, G.D., Stanton, J., Rita, P., 2006. The internet, consumer empowerment and marketing strategies. Eur. J.
Market. 40 (9/10), 936–949.
Praditya, A. D., Rahayu, S., & Astuti, T. (2018). The Impact of Service Quality , Customer Perceived Value ,
and Brand Esperience on Loyalty with Customer Satisfaction as Intervening Variable ( A Study on Lion
Air Customers in Java ). 7(2), 1–11.
Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer
behavior in online shopping. Heliyon, 5(10), e02690. https://doi.org/10.1016/j.heliyon.2019.e02690
Rizan, M., Febrilia, I., Wibowo, A., & Pratiwi R. D. R. (2020). Antecedents of Customer Loyalty: Study from
the Indonesia’s Largest E-commerce. Journal of Asian Finance, Economics and Business Vol 7 No 10
(2020) 283–293 doi:10.13106/jafeb.2020.vol7.n10.28
Rizan, M., Mukhtar, S., Nurani, V., Astuti, R. D., & Wibowo, A. (2019). The influence of service quality and
perception of large financing margin on financing aplication decisions and their impact on customer
satisfaction. In K. S. Soliman (Ed.), Proceedings of the 33rd International Business Information
Management Association Conference, IBIMA 2019: Education Excellence and Innovation Management
through Vision 2020 (pp. 2446-2457). (Proceedings of the 33rd International Business Information
Management Association Conference, IBIMA 2019: Education Excellence and Innovation Management
through Vision 2020). International Business Information Management Association, IBIMA.
Rizan, M., Mukhtar, S., Wulan, L. D., & Astuti, R. D. (2019). The impact of word of mouth and service quality
toward customer loyalty: The mediating role of customer trust. In K. S. Soliman (Ed.), Proceedings of the
33rd International Business Information Management Association Conference, IBIMA 2019: Education
Excellence and Innovation Management through Vision 2020 (pp. 2881-2891). (Proceedings of the 33rd
International Business Information Management Association Conference, IBIMA 2019: Education
Excellence and Innovation Management through Vision 2020). International Business Information
Management Association, IBIMA.
Rizan, M., Warokka, A., & Listyawati, D. (2013). Relationship marketing and customer loyalty: Do customer
satisfaction and customer trust really serve as intervening variables? Vision 2020: Innovation,
Development Sustainability, and Economic Growth - Proceedings of the 21st International Business
Information Management Association Conference, IBIMA 2013, 2, 1285–1295.
https://doi.org/10.5171/2014.724178
Sekaran, U,& Bougie, R. (2013). Research Method for Business: A Skill-Building Approach. Chichester: Wiley
Sharma, G., Lijuan, W., 2015. The effects of online service quality of e-commerce websites
on user satisfaction. Electron. Libr. 33 (3), 468–485.
Srinivasan, S.S., Anderson, R., & Ponnavolu, K., (2002). Customer Loyalty in ecommerce: an exploration of its
antecedents and consequences. Journal of Retail.78(1), 41–50.
Statista, 2018a. Number of Digital Buyers in indonesia from 2016-2022 (In Millions). Statista, 2018b. Number
of Internet Users in indonesia from 2015 to 2022.
Suhartanto, D., Helmi Ali, M., Tan, K. H., Sjahroeddin, F., & Kusdibyo, L. (2019). Loyalty toward online food
delivery service: the role of e-service quality and food quality. Journal of Foodservice Business Research,
22(1), 81–97. https://doi.org/10.1080/15378020.2018.1546076
Sukardi. (2015). Metodologi Penelitian Pendidikan. Jakarta: PT. Bumi Aksara
Tankovic, A. C., & Benazic, D. (2018). The perception of e-servicescape and its influence on perceived e-
shopping value and customer loyalty. Online Information Review, 42(7), 1124–1145.
https://doi.org/10.1108/OIR-12-2016-0354
Tajpour, M., Salamzadeh, A., Salamzadeh, Y. and Braga, V. (2021), "Investigating social capital, trust and
commitment in family business: case of media firms", Journal of Family Business Management, Vol.
ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JFBM-02-2021-0013
Rizan et.al Jurnal Manajemen Indonesia (Vol 24(1), pp.45-56, 2024)
56
Taylor, S. A., & Baker, T. L. (1994). An assessment of the relationship between service quality and customer
satisfaction in the formation of consumers’ purchase intentions. Journal of Retailing, 70, 163–178.
Utami, R. A. (2016). Pengaruh Kualitas Sistem dan Layanan, Kepercayaan, Presepsi Manfaat, Presepsi
Kemudahan dan Presepsi Risiko terhadap Sikap Penggunaan E-Money (Studi Kasus: Mahasiswa Prodi
AKuntansi Universitas Islam Indonesia). Universitas Islam Indonesia
Winarno, M. (2013). Metodologi Penelitian. Malang: Universitas Negeri Malang
Wu, L.Y., Chen, K.Y., Chen, P.Y., & Cheng, S.L. (2014), Perceived Value, Transaction Cost, and Repurchase-
Intention in Online Shopping: A Relational Exchange Pers-pective. Journal of Business Research, 67(1),
2768-2776.
Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? An empirical evaluation of the revised
technology acceptance model. Journal of Information & Management, 42(5), 719–729.
Yang, Z. & Peterson, R.T. (2004), Customer perceived value, satisfaction, and loyalty: the role of switching
costs. Psychology & Marketing, Vol. 21 No.10, pp.799-822
Yogananda, A. S., & Dirgantara, I. M. B. (2017). Pengaruh persepsi manfaat, persepsi kemudahan penggunaan,
kepercayaan dan persepsi risiko terhadap minat untuk menggunakan instrumen uang elektronik.
Diponegoro Journal of Management, 6(4), 1–7.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis
of evidence. The Journal of Marketing, 52, 2–22.
Zeithaml, V.A., Bitner, M. J., & Gremler, D. D. (2017), Service Marketing: Integrating Customer Focus Across
the Firm 7e. Dubuque: McGraw-Hill Education
Ziyae, B., Sadeghi, H., Shahamat Nejad, M. and Tajpour, M. (2021), "A framework of urban entrepreneurship
for women breadwinners", Foresight, Vol. 23 No. 5, pp. 597-609. https://doi.org/10.1108/FS-12-2020-
0137