Customer Loyalty Business Model during the Covid-19 Pandemic:
A Case Study on Bank Syariah Indonesia Post-Merger
Mustika Widowati
1
, Winarto
2
, Atif Windawati
1
and Mella Katrina Sari
1
1
Sharia Banking Study Program, Department of Accounting, Politeknik Negeri Semarang,
Jln. Prof. Soedarto, Semarang, Indonesia
2
Marketing Study Program, Department of Business Administration, Politeknik Negeri Semarang,
Jln. Prof. Soedarto, Semarang, Indonesia
Keywords: Customer knowledge, customer engagement, customer trust, loyalty, merger, sharia banking.
Abstract: Islamic banks are business entities that are growing and developing rapidly in the world. Indonesia is a country
with the largest Muslim population in the world, but the market share achieved is still small. It shows that the
Indonesian people prefer conventional banks to Islamic banks. Indonesian government took the initiative to
merge three state Islamic banks into one Islamic bank. As a bank with a new entity, the adjustment process
will create various complex uncertainties and have the potential to affect customer loyalty. The condition was
exacerbated by the fact that the merger was carried out when the COVID-19 pandemic was sweeping the
world. This study aims to build a loyalty development business model in the context of a recently merged
Islamic bank in Indonesia. Data collection was conducted through a survey that involved 138 Bank Syariah
Indonesia’s customers. Customer knowledge, trust, and engagement variables are used to predict customer
loyalty. The research model was tested using path analysis. The result shows that customer trust affects
customer loyalty is a better model than customer knowledge affects loyalty with customer engagement as a
mediating role.
1 INTRODUCTION
Islamic banks are business entities that are growing
and developing rapidly in the world. Indonesia is the
largest Muslim population in the world. This is a
source of inspiration that the study of the behavior of
Islamic bank customers. The number of Islamic banks
also makes competition between Islamic banks
increasing and inefficient. Therefore, the government
took the initiative to merge three state-owned Islamic
banks into one Islamic bank. The merger was
officially carried out on February 1, 2021, which
merged Bank Rakyat Indonesia Syariah, Bank Negara
Indonesia Syariah, and Bank Syariah Mandiri into
Bank Syariah Indonesia.
As a bank with a new entity, the adjustment
process will inevitably lead to various complex
uncertainties and have the potential to affect customer
loyalty. A critical period occurs at the beginning of
the merger process because the uncertainty and
changes that occur will potentially become a problem
if it is not handled correctly, especially from the
customer aspect. Unfortunately, the case of mergers
of state-owned commercial Islamic banks has never
occurred in Indonesia, so that the empirical studies
and information on best practices are not yet
available.
Consumers have different reactions depending on
the valence of the joining brand; if the valence of the
previous brand is positive but joins a negative brand,
the consumer will react negatively and vice versa
(McLelland et al., 2014). Consumers tend to react
negatively to mergers and acquisitions by devaluing
the acquirer's brand, increasing their intention to
switch, and adjusting their attitude towards the target
brand upwards (brand up-word) (Thorbjørnsen &
Dahlén, 2011). (Sarala et al., 2019) proposes avenues
for further research on the “human side” of global
mergers and acquisitions. The merger will give hope
to customers. (Sharma, 2018) conveyed that from the
customer's point of view, the success of the merger
occurred because the customer benefited from the
economies of scale of the merged bank, the expansion
of the working area and technological sophistication,
as well as the opportunity to obtain a competitive
interest rate due to the increase in authorized capital.
Widowati, M., Winarto, ., Windawati, A. and Katr ina Sari, M.
Customer Loyalty Business Model during the Covid-19 Pandemic: A Case Study on Bank Syariah Indonesia Post-Merger.
DOI: 10.5220/0010934900003255
In Proceedings of the 3rd International Conference on Applied Economics and Social Science (ICAESS 2021), pages 399-407
ISBN: 978-989-758-605-7
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
399
Based on these empirical findings, the vulnerable
points of mergers and acquisitions are on the human
side and psychological resistance due to changes and
uncertainties. The vulnerable conditions at the
beginning of the merger in the case of the Indonesian
Islamic Bank became increasingly interesting to
study because the merger occurred during the Covid-
19 pandemic that was sweeping the world, including
Indonesia. The vulnerable conditions at the beginning
of the merger will be overcome with the right
business model approach. Customer loyalty is one of
a critical points in every merger process. For this
reason, the formulation of a loyalty development
business model is a very important study from both a
theoretical and practical perspective. For Bank
Syariah Indonesia, this loyalty development business
model is a crucial issue.
Retaining customers is believed to provide more
financial benefits for the company because it is
cheaper and saves resources. However, the issue of
loyalty is not a simple matter. The involvement of
customers in business processes and trust is essential
to build so that customers understand the ongoing
process and ensure that the interests and welfare of
customers are the central points (Plé et al., 2010). The
problem that arises is how much knowledge,
engagement, and trust of Bank Syariah Indonesia’s
customers can influence loyalty and how to develop
the suitable loyalty development model.
The purpose of this study is to build a business
model for developing customer loyalty with the
variables of customer knowledge, customer
engagement, customer trust, in the context of a newly
merged Islamic bank. The object of research on
Indonesian Islamic Bank customers is a new thing
because there has been no similar research in
Indonesia, considering that this is the first time the
merger of stated-owned sharia commercial banks has
occurred. The research will make a significant
contribution to the development of customer loyalty
theory with a business model approach that adopts
customer involvement as theorized in Service-
Dominant Logic and Customer Integrated Business
Model theory. This research is also beneficial on a
practical level for developing the loyalty of Bank
Syariah Indonesia to realize the goal of the merger,
which is to become the leading Islamic bank that can
compete in the global arena.
2 LITERATURE REVIEW
2.1 Business Model
Conceptually, Islamic banking operations are carried
out based on Islamic sharia principles, full of meaning
about the social relationship between humans as a
manifestation of worship to Allah. The concept of the
relationship between the interacting parties is also
based on the principle of cooperation partnership.
Each party involved in a balanced, fair, pure,
transparent, and accountable pattern to achieve
benefit and eliminate harm.
The business model was developed very
intensively in theoretical and practical studies to find
the best solution regarding the strategy and its impact
on the company's sustainability. The sservice-
Dominant Logic theory explains that the company's
achieving its goals is a service process to customers
(Vargo & Lusch, 2017). The linkage of the added
value creation process increasingly leads to the
involvement of consumers in the creation of added
value for the resulting product or service. This is
driven well educated and have access to good
information consumers, brave and can convey what
they want. Especially service companies involved
consumer on use of technology in operation
processes. They are determining factor success of the
services will be produced. The concept of consumer
involvement in this business model is very
appropriate be applied in sharia-based businesses.
Applying an appropriate business model is an
essential consideration for companies to deal with
dynamic environmental situations and achieve
superior sustainable performance. In recent years
more and more companies have been involved even
mobilizing customers in their business processes to
increase revenue, reducing costs, and increasing
profits (Plé et al., 2010). Customer participation in the
business process model has been widely studied of
service management and marketing.
The framework of the Customer-Integrated
Business Model, customers are considered as a
resource (Plé et al., 2010). Thus, customers can be
empowered and managed to support the creation of a
sustainable competitive advantage. This is by the
opinion of (Sarala et al., 2019) that the business
model is the embodiment of logic and strategic
choices to capture and create value in the value
network. (Vargo & Lusch, 2017) directs that the value
creation process is one of the embodiments of the
business model in accommodating these two interests
proportionally as a way to create shared value and all
those involved in value creation as service-dominant
ICAESS 2021 - The International Conference on Applied Economics and Social Science
400
logic. The existence of the organization is to integrate
and transform micro-competencies into complex
services demanded by the market. The nature and
characteristics of the business model must be relevant
to market-oriented customers. This implies that the
business model must pay serious attention to the
customers’ interests and not just to realize the
interests of the company to achieve high loyalty.
2.2 Loyalty and Its Antecedents
(Kandampully et al., 2015) stated that loyalty is a
long-term company asset. Customer loyalty is a
severe concern in studies in the field of marketing
because loyalty is seen as the primary source that can
bring long-term profits, so it is expected to be able to
create a competitive advantage for the company.
Loyalty is also seen as the key to marketing success,
so companies must always keep customers loyal.
Loyalty is also seen as a way to create word of mouth
and can create economic benefits such as customer
willingness to pay more, reduced costs due to
increased sales volume.
Loyalty is a process of thinking, behaving, and
behaving a consumer that cannot be separated from
the factors influencing the behavior. Loyalty is
importance aspect for the long-term survival of the
company. Loyalty studies have been carried out from
various perspectives and the factors that influence it.
Loyalty models are widely studied with various
factors that influence it and the context of its
application. (Abu-alhaija et al., 2018) said that there
are three determinants of customer loyalty, namely
the primary determinant, which includes customer
satisfaction, trust, perceived value, and perceived
service quality; secondary determinant, which
includes other factors used by the nature and context
of the research; the last one is loyalty's moral
determinant, which includes spirit.
Several studies use primary determinant loyalty,
such as (Keisidou et al., 2013) found that customer
satisfaction and loyalty had no effect on financial
performance, but satisfaction and image had a
significant effect on loyalty. (Abdullaeva, 2020)
found a positive relationship between customer
satisfaction and loyalty. (Rather et al., 2018) said that
customer–brand identification strengthens affective
commitment, engagement, and brand loyalty. It is
further revealed that trust in service providers, trust in
regulators, economic-based trust, and information-
based trust significantly affect customer engagement,
with trust in service providers and trust in regulators
driving higher levels of customer engagement. The
results also reveal that customer engagement
significantly enriches customer loyalty and mediates
the relationship between the dimensions of trust and
customer loyalty. Customer engagement is a very
relevant variable used as an antecedent of loyalty. In
banking industry, customer engagement is the long-
term nature of customer-bank relationships.
(Monferrer et al., 2019) revealed a strong relationship
between customer engagement and customer loyalty.
(Agyei et al., 2020) highlights the importance of
building compelling customer trust to advance
customer engagement and customer loyalty. The use
of customer engagement variables is based on the
findings of (Ganiyu et al., 2012), which explain that
customer satisfaction cannot achieve the goal of
creating a loyal customer. Customer satisfaction and
loyalty are not directly correlated, especially in a
competitive business environment because there is a
big difference between satisfaction and loyalty.
Satisfaction refers to a passive customer condition,
while loyalty describes an active or proactive
relationship with the organization. These findings
indicate that the selection of loyalty antecedents must
consider the characteristics of the variables and
customer engagement as appropriate as the
antecedent of loyalty because these variables
represent active and proactive customer conditions.
Furthermore, (Hidayat et al., 2015) show that the
quality of service and customer trust of Islamic banks
together have a significant effect on customer
satisfaction and have an indirect effect on customer
loyalty is mediated by customer satisfaction. (Yeh et
al., 2020) shows that the relationship between
physical attractiveness, intellectual competence, and
trust plays a vital role in determining satisfaction, and
loyalty. (Darmawan, 2018) finds evidence that trust
has a positive and significant effect on customer
loyalty, with the indicator of trust being that Islamic
banks are very concerned with Islamic principles,
security, and the products and services offered are
based on Islamic principles. (Ali et al., 2018) find that
understanding, relative advantage, compatibility,
observable uncertainty, complexity, and service
quality have a positive effect on the adoption of
Islamic bank services. Customer knowledge is
important because individuals will go through stages
of mental processing before adopting and receiving
products or services. This variable is important to
shape customer behavior to the stage of loyalty.
Customer Loyalty Business Model during the Covid-19 Pandemic: A Case Study on Bank Syariah Indonesia Post-Merger
401
3 RESEARCH MODEL AND
HYPOTHESES
DEVELOPMENT
3.1 Model I: The Influence of
Customer Knowledge on Customer
Loyalty through Customer
Engagement
The knowledge of customers has a significant
positive relationship with loyalty, it has also a
moderating effect between both satisfaction and
loyalty (Wang, et al., 2016). (Ali et al., 2018),
understanding, relative advantage, compatibility,
observable uncertainty, complexity, and service
quality have a positive effect on the adoption of
Islamic banking services. Furthermore, there is the
influence of customer engagement on loyalty (Fianto
et al., 2020). The strong relationship between
customer engagement and customer loyalty.
Customer engagement has a positive effect on
Customer Loyalty (Harimurti & Suryani, 2019).
Based on the findings of the previous research, the
model I is formulated with the following hypothesis:
H1: Customer Knowledge has a direct effect on
Customer Loyalty. H2: Customer Engagement has a
direct effect on Customer Loyalty. H3: Customer
Knowledge has a direct effect on Customer
Engagement. H4: Customer Knowledge has an
indirect effect on Customer Loyalty through
Customer Engagement.
3.2 Model II: The Influence of
Customer Trust on Customer
Loyalty through Customer
Engagement
Referring to (Ganiyu et al., 2012), the use of customer
engagement as an antecedent of loyalty is more
appropriate because it represents the active and
proactive nature of the customer's condition. Service
quality and the trust of Islamic bank customers
together have a significant effect on customer
satisfaction and an indirect effect on customer loyalty
which is mediated by customer satisfaction (Hidayat
et al., 2015). Trust has a positive and significant effect
on customer loyalty (Darmawan, 2018). The
relationship between physical attractiveness,
intellectual competence, and trust plays an important
role in determining satisfaction and loyalty (Yeh et
al., 2020). Then, (Agyei et al., 2020) highlight the
importance of building compelling trust to advance
customer engagement and loyalty. Based on these
findings, the following hypothesis is formulated: H5:
Customer Trust has a direct effect on Customer
Loyalty. H6: Customer Trust has a direct effect on
Customer Engagement. H7: Customer Engagement
has a direct effect on Customer Loyalty. H8:
Customer Trust has an indirect effect on Customer
Loyalty through Customer Engagement. Figure 1
below is the relationship between the hypothesized
variables.
H1
H3 H4
H2
H6
H8
H7
Figure 1: Research Model.
4 SAMPLE AND DATA
COLLECTION
The research was conducted using a survey technique
with a questionnaire as data collection tool.
Questionnaire were given to the target respondents
using a google form that was sent on personal social
network. This method was carried out considering the
time of research during the COVID 19 pandemic so
that data collection online was the safest way
according to health protocols. Sampling technique
using judgment sampling. The characteristics of the
target respondents are customers who have an account
at Bank Syariah Indonesia, are adults, and have
sources of income. Respondents who responded to
requests for filling out the questionnaire via google-
form were 167 out of 305 given a questionnaire link
via private WhatsApp messages or through WhatsApp
groups. Requests for link forwarding to colleagues
receiving the first link are also made via questionnaire
cover messages. This means that the response rate is
54.75%. Finally, respont from 138 respondents used
in this resarch. The google-form submission period is
July 14 to July 23, 2021. This period is the peak period
of the second wave of the pandemic, and the
CE
C
T
CK
C
L
ICAESS 2021 - The International Conference on Applied Economics and Social Science
402
Indonesian government is implementing the
imposition of restrictions on community activities as
an effort to prevent the spread of COVID 19. The
following table 1 presents data on the characteristics
of respondents in detail.
Table 1: Characteristics of Respondents.
Characteristics Percentage
Gender:
Male
Female
27.5
72.5
Age:
17 - 21
22 - 26
27 - 31
32 - 36
37 - 40
> 40
21
35.5
10
3,6
1.4
27.5
Years with the bank:
< 1
2 - 5
6 - 10
>10
14.5
57.2
18.1
10.1
Occupancy:
Teacher
Businessman
Employee
Student
Othe
r
24.6
5,8
26,8
37.7
5
Table 1 shows that 72.5% of respondents are
women and the rest are men. The highest age range is
22-36 years, respondents have been customers with
accounts for 2-5 years is 57.2% and 37.7% as a
student.
Loyalty is conceptualized based on (Kotler,
1997). Likewise, the customer knowledge construct
was adapted (Ali et al., 2018). Meanwhile, customer
engagement was adapted (MSI-Marketing Science
Institute, 2010), and customer trust (Darmawan,
2018). A five-point Likert scale was used to measure
the question items, namely 1=strongly disagree,
2=disagree, 3=neutral, 4=agree, and 5=strongly
agree. The following are the items used in this study.
Table 2: Validity and Reliability.
Detail Cronbach
Al
p
ha
Correlation
Customer Loyalty (CL):
• Not move to another bank.
• Using of other products.
• Pay more.
• Repeat purchase.
• Recommendation.
• Frequent top-up compared
to other banks.
0.875*
0.739**
0.737**
0.809**
0.779**
0.705**
0.707**
• Invite colleagues to
become customers.
• Do not tell anyone terrible
thin
g
s.
0.765**
0.624**
Customer Knowledge (CK):
• Knowing the merger
• Ownership status
• Leader qualities
• Technology ownership
• Increasing asset ownership
0,628*
Delete
Delete
0.705**
0.682**
0.636**
Customer Engagement
(CE):
• Likes to talk
• Interested in knowing
more.
• Follow more detailed news
about the brand.
• Willing to go the extra
mile to buy the product.
• Talking about the product
to other people.
• Writing reviews &
b
logging.
0,838*
0.809**
0.635**
0.787**
0.754**
0.845**
0,627**
Customer Trust (CT):
• Banks are very concerned
with Islamic principles.
• The promises made
• The contract has a suitable
explanation.
• The employee
performance is getting
better
• Trust fund management
for the benefit
• Trust safe deposits
0,866*
0.796**
0.806**
0.766**
0.748**
0.817**
0.715**
* reliable according to Nunally’s (1967) criteria, in
(Ghozali, 2005).
** Correlation is significant at the 0.01 level (2-tailed).
Based on table 2, it can be concluded that the
reliability of all variables is above 0.60, and all
indicators are valid except for indicators of customer
knowledge: knowing the merger incident and
ownership status which are not significant so they are
deleted and not used in further analysis.
The normality of the data was tested by looking at
the Z Skewness and Z Kurtosis values. The following
table 3 summarizes the results of the two Z scores as
follows:
Table 3: Z Skewness and Z Kurtosis.
Variable ZSkewnes Conclusion
Customer Knowledge -2.869 Moderat
Customer En
g
a
g
ement -2.329 Normal
Customer Trust -0.407 Normal
Customer Lo
y
alt
y
-1.423 Normal
Variable Zkurtosis Conclusion
Customer Loyalty Business Model during the Covid-19 Pandemic: A Case Study on Bank Syariah Indonesia Post-Merger
403
Customer Knowled
e -0.094 Normal
Customer Engagement 1.098 Normal
Customer Trust -2.122 Normal
Customer Lo
y
alt
y
0.609 Normal
Based on table 3, at the 0.01 significance level, all
Z Skewness and Z Kurtosis values are smaller than
2.58 (significance level 0.01) so it can be concluded
that the data is normally distributed except for CK has
Z Skewness -2.869 smaller than three, which means
the data is moderately non-normally distributed at the
significance level of 0.001 Curran et al., 1996 in
(Ghozali, et al., 2005).
5 TESTS OF HYPOTHESIS
Testing the model used the R2 test against model I,
namely customer loyalty, which was predicted by
customer knowledge with customer engagement as a
mediating variable. The R2 value in a model I is
0.3622 (36.22%); this value exceeds 25%, which is
stated as satisfaction and accepted prediction level
Gaur and Gaur, 2006 in (Nawaf Al-Nsour, 2020).
Meanwhile, model II is customer loyalty which is
predicted by customer trust by mediating customer
engagement. The R2 value in model II is 0.5297
(52.97%); this value exceeds 25%, so it can be
considered as a model that is satisfied and accepted.
When viewed R2 in the model I is 0.3622 and the
model II R2 is 0.5297. This means that customer
engagement increases the percentage of R2 by 0.1675
(16.75%) when applied as a mediating variable in this
study with customer trust as a predictor.
Hypothesis testing is done using SPSS software.
Model I is a test of the direct and indirect effect
customer knowledge on customer loyalty by
customer engagement as a mediating variable. Table
4 shows the test results of the model I.
Table 4: Direct effect and indirect effect customer
knowledge on customer loyalty.
Effect Coefficient
p
-value
Direct effect:
CK on CL
CE on CL
CK on CE
0.2917
0.8406
0.8501
0.0000
0.0000
0.0000
Indirect effect: CK on CL 0.7146 0.0000
Total effect: CK on CL 1.0064 0.0000
Note: p value < .05
Based on table 4, it can be seen that the coefficient
of the direct influence of customer knowledge on
customer loyalty is 0.2917, the direct influence of
customer engagement on customer loyalty is 0.8406,
and the direct influence of customer knowledge on
customer engagement is
0.8501. All coefficients are
significant at the 0.05 level. The result support H1,
there is a direct effect of customer knowledge on
customer loyalty. Likewise, H2, which states that
customer engagement, has a direct effect on loyalty,
is also supported. H3, which states that customer
knowledge has a direct effect on customer
engagement is also supported. H4, customer
knowledge has an indirect effect on customer loyalty
through customer engagement is also supported by a
coefficient value of 0.7146 (p <0.05). To ensure the
mediation effect of customer engagement in a model
I is seen from the confidence interval (CI), namely the
Boot LLCI value of 0.3755 and the Boot ULCI value
of 1.0761. These two values are not in the range that
exceeds 0. These result indicates that there is an
influence of customer engagement in mediating effect
of customer knowledge on customer loyalty. The total
effect of customer knowledge on customer loyalty is
1.0064 (p<0.05).
Model II testing is a test of the direct and indirect
effect of customer loyalty which is predicted by
customer trust with customer engagement as a
mediating variable. Table 5 shows the results of
model II testing.
Table 5: Direct and Indirect effect of customer trust on
customer loyalty.
Effect Coefficient
p
-value
Direct effect:
CT on CL
CE on CL
CT on CE
0.3383
0.8406
0.7629
0.0000
0.0000
0.0000
Indirect effet:
CT on CL
0.5807
0.0000
Total effect:
CT on CL
0,9191
0.0000
Note: p value < .05
Based on table 5, it can be seen that the coefficient
of the direct effect of customer trust on customer
loyalty is 0.3383, the direct effect of customer
engagement on customer loyalty is 0.8406, and the
direct effect of customer trust on customer
engagement is 0.7629. All coefficients are significant
at the 0.05 level. These results support H5, there is a
direct effect of customer trust on customer loyalty.
Likewise, H6, which states a direct effect of customer
engagement on loyalty, is also supported. H7, which
states that customer trust has a direct effect on
customer engagement, is also supported. H8, which
states that customer trust has an indirect effect on
customer loyalty mediated by customer engagement,
is also supported by a coefficient value of 0.5807
ICAESS 2021 - The International Conference on Applied Economics and Social Science
404
(p<0.05). The mediation effect of customer
engagement in model II, is seen from the confidence
interval (CI), namely the Boot LLCI value of 0.3843
and the Boot ULCI value of 0.7869. These two values
are not in the range that exceeds 0, so this indicates
that there is an influence of customer engagement in
mediating the effect of customer trust on customer
loyalty. The total effect of customer knowledge on
customer loyalty is
0.9191 (p<0.05).
6 DISCUSSION AND
IMPLICATIONS
6.1 Discussions of Findings
The results of the study show that all hypotheses are
accepted significantly. The result can be concluded
that customer knowledge and customer trust have
direct and indirect effects on customer loyalty by
mediating role of customer engagement. The results
showed that model I gave a more significant total
effect than model II. This means that customer
knowledge affects customer loyalty by mediating
customer engagement, which provides a more
significant total effect than customer trust, which
affects customer loyalty by mediating customer
engagement. This finding indicates that knowledge
plays a more sigificant role in forming loyalty than
trust with mediating engagement. This is in line with
the opinion (Wang et al., 2016) which states that
knowledge has a significant effect on loyalty.
(Suchánek & Králová, 2019) showed the direct
influence of the product-knowledge on customer
expectation and product competitiveness, as well as
the influence on customer loyalty. However,
customer product knowledge negatively moderates
service quality and online customer loyalty and
positively moderates the relationship between
sacrifice and customer loyalty (Xu et al., 2011).
(Nora, 2019) stated that customer knowledge was not
directly able to increase the intention of repeat
purchase but, indirectly effect high customer
knowledge, supported by the high customer intimacy,
it can indirectly increase the high repurchasing
intention.
In the dynamics of a competitive and increasingly
complex business environment, companies are
always required to build and maintain a competitive
advantage. Customers can more accessible and faster
access and disseminate information. It leads to the
formation of a knowledge-based society. This means
that the company's ability to implement and manage
knowledge to improve company performance in
dynamic decision-making is essential. Companies
need to manage customer knowledge through an
integrated system and involve the existence of
customers as an integral part of the system. The flow
of information is a significant part of maintaining
customer knowledge. The customers need to get
reliable news and understanding from trusted sources
before they obtain information from other sources.
Smooth and quality-maintained communication with
customers can be done if the customer has a
comfortable involvement with the company so that
the customer integrated business model is a wise
choice to build loyalty. Reliable customer knowledge
indicators used in this study are: leadership qualities,
technology ownership, increasing asset ownership.
These indicators can be used as a basis for managing
customer knowledge. Companies need to provide
clear and transparent information regarding these
indicators to get a true and accurate understanding.
This study also found a significant direct and
indirect effect between customer trusts toward
customer loyalty. This indicates that trust also plays
an essential role in the formation of customer loyalty.
Especially in the Islamic banking industry, trust is a
fundamental problem. This finding is in line with the
findings, which state that trust affects customer
loyalty in hotels (Haryanto & T.J, 2009), customer
member of the credit unions (Nguyen et al., 2013),
commercial banks (Leninkumar, 2017). (Daud et al.,
2018) stated that there are direct and indirect effects
of trust toward loyalty in ICT customers. The direct
and indirect effect of trust on loyalty in several
industries provides evidence that trust has good
generalization as an antecedent of loyalty.
In a dynamic, transparent, and increasingly digital
business environment, trust is an essential component
in a relationship. Trust is indispensable as a guarantor
of business sustainability in the long term. Therefore,
the company needs to pay attention to building trust
to achieve superior performance. In this study, the
indicators used in the trust are: believing that banks
are very concerned with Islamic principles, believe
in the promises made, believe that the contract has a
suitable explanation, believing in employee
performance is getting better, trust fund management
for the benefit, trust safe deposits. These indicators
are relevant to be used as a basis for increasing
loyalty.
6.2 Theoretical Implications
The research was conducted on a unique case that
happened for the first time in Indonesia, namely the
Customer Loyalty Business Model during the Covid-19 Pandemic: A Case Study on Bank Syariah Indonesia Post-Merger
405
merger of the stated-owned Islamic commercial
banks, which made customer confused. The research
was also carried out at a time when COVID 19
pandemic hit the world and Indonesia, which made
socio-economic conditions worse. The two
conditions of the object of this research provide a very
significant contribution to the development of the
theory of customer behavior, especially the
development of antecedent customer loyalty. The
research findings show the role of customer
engagement in mediating customer knowledge and
customer trust on customer loyalty.
6.3 Managerial Implications
The results of this study provide managerial
implications as follows, first the use of customer
knowledge and trust as the basis for building loyalty.
The study provides an understanding of how
customer knowledge and trust affect customer
engagement and loyalty in the context of Islamic
banks in the early stages of the merger. The research
was conducted during the COVID 19 pandemic, so
the results also provide an understanding of how to
manage customer knowledge and customer trust to
build loyalty by mediating customer engagement.
Second, the important thing in managing customer
loyalty is the ability of Islamic banks to maintain
customer knowledge with relevant and proportional
information so that customers are well-informed and
avoid misleading information. Third, growing
customer trust is an essential part of realizing
engagement and building loyalty. In building trust,
the critical thing that Islamic banks need to do is keep
the promises made and concentrate on the benefit.
Fourth, customer engagement is an important part
plays a role in mediating customer knowledge and
trust toward loyalty.
6.4 Limitation and Future Direction
This study has several limitations as a pathway for
further research. This study examines two models to
build loyalty. Although this research is a case study
in a newly merged Islamic bank, the research model
can be used in other contexts and objects. This
research was conducted during the COVID 19
pandemic, an unstable market condition, so it is
necessary to carry out further research in the future
under normal market conditions. However, this
research can also be used as a reference for similar
research if the market is in a crisis. The use of
customer engagement variables to mediate customer
knowledge and customer trust in customer loyalty can
be developed for further research to be able to
produce consistent findings. The indicators of each
variable need to be further developed by adopting
other findings under the dynamics of customer
behavior development. The data collection
techniques using google forms also need to be
reviewed because although this technique is not
something new, for the case in Indonesia it has not
been widely used, especially for academic research.
The use of other social media besides WhatsApp is
highly recommended to expand the reach of relevant
respondents and generalization of the research result.
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