Knowledge Management as a Moderator in Developing Digital Finance
in Timor Leste
MARCIA YOLANDA SOARES DAS NEVES
Department of Business Administration,
Telkom University,
Jalan Terusan Buah Batu, Bandung 40257,
INDONESIA
MAHIR PRADANA
Department of Business Administration,
Telkom University
Jalan Terusan Buah Batu, Bandung 40257
INDONESIA
ELSA NATALICIA DE JESUS SOARES
Universidade Nacional Timor Lorosa'e,
Av. Cidade de Lisboa, Dili,
TIMOR LESTE
RIKY RAMADANI PRABOWO
Institut Komunikasi dan Bisnis LSPR,
Sudirman Park Campus, Jl. Jend. Sudirman 32, Jakarta,
INDONESIA
DIAN GITA UTAMI
Politeknik Negeri Ujung Pandang,
Jalan Perintis Kemerdekaan, Makassar,
INDONESIA
Abstract: - This study observes the impact of knowledge management in moderating the perceived usability,
perceived ease of use, and perceived risk on the intention of Dili (Timor Leste) residents to use a digital
transaction application. The sample size for this study, which uses quantitative approaches, is 350 respondents.
Additionally, they are using SmartPLS software to manage data from questionnaires issued online. This study
shows that there is a positive and statistically significant relationship between moderating effects and intention
to use. Additionally, the intention to use is significantly impacted by perceived risk.
Key-Words: - Digital Payment, Finance, Digital Business, Knowledge management, Fintech, Timor Leste
Received: May 15, 2022. Revised: January 25, 2023. Accepted: February 21, 2023. Published: March 7, 2023.
1 Introduction
In this digital era, technical advancements and
human life are inextricably linked. In particular,
when it comes to internet-related technologies, the
advancement of advanced technology drives us to
adopt new advancements and learn more about the
technologies themselves, [1]. Today, we always
utilize the internet as a media tool to carry out our
everyday tasks and to communicate with others.
Consequently, the internet has assimilated into
everyday life. The world now uses a variety of
technologies in the domains of communication,
medicine, construction, and information, [2].
However, technological advancement is not just
confined to those purposes. In recent years, financial
technology (fintech) has also become a new area of
technical innovation in the world of economy, [3].
Fintech is a combination of financial services and
technology that transforms the traditional business
model into a contemporary one, [4]. Whereas before
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2023.22.18
Marcia Yolanda Soares Das Neves,
Mahir Pradana, Elsa Natalicia De Jesus Soares,
Riky Ramadani Prabowo, Dian Gita Utami
E-ISSN: 2224-2678
186
Volume 22, 2023
a payment transaction required face-to-face
interaction and required a small sum of money,
payments can now be conducted instantly and
remotely, [5]. Fintech payment techniques are
electronic payment tools that allow for the storage
of money on a specific electronic medium, or "E-
money" (Electronic Money).
Timor-Leste is still in the early phases of true
fintech, according to Statista.com, as the future
effects of cloud computing, IoT, AI, and blockchain
cannot even be predicted at this point. Tech
businesses continue to explore more of the financial
services value chain each year while also generating
new market structures in underbanked developing
nations, [6]. Now, certain banks that offer
innovative, digitally friendly banking services and
incorporate digital payments, microfinancing, and
robot advisor services into current bank accounts
share the market alongside pure FinTech businesses,
[7].
Fintech in Timor-Leste started to grow at the end of
2019 and is currently seeing a significant increase in
clients, as a result of the COVID-19 epidemic,
which was exacerbated by the lack of customer
service and social connection at that time, [8]. This
is evident from the availability of several digital
transactions in Timor-Leste that facilitate people
doing transactions via smartphones at anytime and
anywhere, [9].
The culture of the Timorese people, who prefer to
hold cash, continues to impede the growth of digital
payment to build an efficient and effective payment
system, despite the rise in users, [10]. The payment
system still heavily relies on cash transactions.
However, there has been a noticeable rise in recent
years in the number of transactions using digital
payment methods. Some publications believe that
Timor-Leste is a nation that is already developing
and has a millennial population that is very active in
using technology; therefore, fintech such as ‘TPAY’
may be used as a platform to help drive the
economy's wheels during and after the epidemic,
[10]. The information provided above leads to the
conclusion that technical advancements affect
society's existence, particularly with the emergence
of money transaction mechanisms, [11].
Due to its effective use in saving time and
enhancing personal happiness, FinTech will
continue to grow and develop in relation to the use
of digital payments, [12]. Fintech has been
beneficial for start-up companies and e-commerce
companies in Timor Leste, [10]. There are already a
number of businesses in Timor-Leste that offer
instruments for cashless transactions. Due to their
simplicity of use and suitability for people from all
levels of society, e-Wallet is gradually gaining
popularity in the community, [13].
Therefore, this article tries to explore fintech in
terms of digital payment in Timor Leste. By
incorporating several existing education and
technological acceptance theory then combining
them with the variable of knowledge management,
we conduct this quantitative research. It is highly
challenging but fascinating to conduct a study given
the current phenomenon of the development of the
digital economy that is expanding and developing in
Timor-Leste.
2 Literature Review
Perceived Usefulness
Usefulness is an advantage that technology users
look for when performing their tasks, [14]. The
frequency of use and variety of applications used to
measure these advantages, [15]. The amount to
which technology will enhance work performance is
known as perceived usefulness, [16]. The user's
perception of a system's usefulness is their
expectation that using it will boost their professional
performance, [17]. Additionally, a belief regarding
the decision-making process is Perceived
Usefulness, [18]. Therefore, a person will use
information systems if he feels that they are
valuable. Consumer impression of the outcomes of
the encounter is influenced by perceived usefulness,
[19]. Furthermore, perceived usefulness is the
degree to which a person's level of confidence in
something; if a person believes that something is
useful, and useful, he will use it; nevertheless, if he
believes that something is not beneficial, he will not
use it, [20]. The profitability of a potential user
using a specific application system will increase its
performance is described as perceived usefulness,
[21].
Perceived Ease of Use
When something is easy to use, it can be thought of
as something that is liked or sought as the
foundation for something that is thought to be
valuable or contains useful components, [19]. On
the other side, the degree to which consumers
(users) think that technology may be simply
understood is also referred to as ease of use, [22].
Users believe that the simplicity the of use of
information technology systems will make them feel
more comfortable while working by making them
feel that the system has a purpose. Even if it's the
other way around, a difficult-to-control system will
offer less convenience, [20]. One of the elements
determining the degree of positive sentiments
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DOI: 10.37394/23202.2023.22.18
Marcia Yolanda Soares Das Neves,
Mahir Pradana, Elsa Natalicia De Jesus Soares,
Riky Ramadani Prabowo, Dian Gita Utami
E-ISSN: 2224-2678
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Volume 22, 2023
toward use is perceived ease of use, [22]. The
degree to which prospective users anticipate being
able to utilize the new system without regard to
universality is the basis for perceived ease of use.
Another belief about decision-making is perceived
usability. A user will use a new system if they
believe it to be simple to use, and vice versa, [23].
The perceived ease of use aspects includes trouble-
free, straightforward, and simple to use. The
intensity of use and the interaction between users
with a system can be used to explain the ease of
measurements, [24]. Systems that are used more
frequently indicate that the user knows them better
and that they are simpler to use. Several factors,
including user experience of using similar
technology, the use of technology that is easy to
understand, easy to control, clear and easy to
understand, flexible, easy to be skilled, and
reputation for the technology obtained by the user,
affect users' perceptions of how easy it is to use
technology, [20]. A positive reputation that people
will hear will boost their trust in the technology's
use.
Perceived Risk
According to a recent study, there are two types of
uncertainty that may arise during the adoption of
new technologies: environmental uncertainty and
behavioral ambiguity, [22]. Network
communication methods that are out of the users
control cause environmental uncertainty. Even
information technology employees are challenging
to manage, [21]. In line with this viewpoint, this
study defines risk perception as the users subjective
belief that there is a chance for the emergence of
risk to experience losses when using services
provided by electronic wallet applications, [20]. The
degree of loss experienced by technology users
might be thought of as a perceived risk, [21]. When
using technology, it is possible for fraud, subpar
goods to be delivered, deliveries to be delayed, and
criminal acts including the exploitation of personal
data to take place, [20].
Intention to Use
One of the features of human psychology that tends
to draw attention to or make an object more
pleasurable to use is interest, and this tendency can
motivate a person to pursue their goals, [20].
Interest in using is characterized as a person's
circumstances just prior to acting. Additionally, a
person's interest in utilizing can be utilized to
forecast their behavior or activities, [27]. In relation
to this, post-purchase behavior is the position of
interest in utilizing when evaluated from the
viewpoint of consumer behavior in purchasing
decisions, [28]. Typically, consumers will continue
to remember how they felt when they feel interested
or satisfaction in fulfilling a need.
The relationships between the three variables can be
seen in these hypotheses:
Hypothesis 1: Perceived of Ease Use has a
positive and significant relationship with the
Intention to Use
Hypothesis 2: Perceived Risk has a
positive and significant relationship with the
Intention to Use
Hypothesis 3: Perceived Usefulness has a
positive and significant relationship with the
Intention to Use
Post-purchase behavior comprises product use, post-
purchase behaviors, and post-purchase interest in
applying Technology Acceptance Model (TAM),
[2]. The TAM model, which has been shown to be a
valuable theoretical model in understanding and
explaining the behavior of consumers (users) in
implementing an information system, is now the
most popular model in anticipating consumer
acceptance behavior toward information technology,
[2]. The essential premise of this study is that a
person's behavior in using or accepting a technology
is influenced by two main variables, namely
perceived usefulness and perceived ease of use.
Behavioural Intention to Use, or in this study is
regarded as interest in using. Three indicators make
up the interest indicator, [29]. Of the three
indications, interest in the subject of interest,
happiness, and propensity to employ research, the
researcher uses this one to gauge their desire in
conducting research, [29].
The Moderating Role of Knowledge Management
Users and individuals who promote knowledge
sharing themselves are included in the concept of
knowledge management, together with their
accessibility, [24]. Support for organization
members is a function of the own organization in
knowledge creation, since previously held data,
information, and knowledge are used to build the
foundation for new knowledge, [25]. Knowledge
creation among organization members requires the
capacity to create new information, investigate the
potential of new skills, and generate new ideas,
plans, and methodologies for replacing outdated
knowledge with new knowledge, [26]. Knowledge
production refers to the results of the successful
application of new knowledge, and innovation and
knowledge production are linked, [26]. When it
comes to perceived risk, utility, and usability, [24],
the ability to gather employee knowledge, including
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2023.22.18
Marcia Yolanda Soares Das Neves,
Mahir Pradana, Elsa Natalicia De Jesus Soares,
Riky Ramadani Prabowo, Dian Gita Utami
E-ISSN: 2224-2678
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Volume 22, 2023
knowledge of work experience, ideas, skills, and
contextual information, is crucial. Therefore, the last
hypothesis is:
Hypothesis 4: Knowledge Management
moderates the relationship between
Perceived Usefulness and Intention to Use
Based on the elaboration regarding the five
variables we are using for this research, we build
four hypotheses and a research model, which can be
seen in Figure 1.
Fig. 1: Research Model
3 Methodology
Research Design
The author of this study employs a causal
descriptive kind of research along with a
quantitative strategy. The sampling technique is
often carried out by calculating specific acceptable
sampling strategies. Quantitative and statistical data
are collected to evaluate the specified hypothesis.
The research method is a method based on the
concept of positivism, [30]. A Likert scale is used in
this investigation. The Likert scale is used to assess
peoples' and groups' attitudes, views, and
perceptions of social phenomena, [31]. A Likert
scale is used to translate the variables that need to be
assessed into variable indicators, which are then
used as a starting point for creating instrument
items, which can take the shape of statements or
questions.
The Structural Equation Modeling (SEM method) is
used in this study. A combination of factor analysis
methods, structural models, and path analysis is
used in the interpretation of the structural equation
model (Structural Equation Model), [32]. As a
variant-based SEM statistical technique, Partial
Least Square (PLS) is used in this investigation. A
technique for predicting constructs in models with
numerous components and collinear interactions is
known as partial least square (PLS), [33]. Latent
variables, or variables that cannot be measured
directly, and the specification of routes that connect
variables are commonly combined in a composite
model using smartPLS software. PLS has the benefit
of being able to model numerous dependent and
independent variables (complex models), and the
findings are still reliable even in the presence of
aberrant and missing data (missing values), [34].
3.1 Respondents’ Profiles
Our set of questionnaires was distributed to
respondents in Timor Leste. The questionnaire
includes various items related to the usage patterns
as indicated in the literature review, as well as
several other relevant variables identified during the
follow up. In the end, we collected responses from
384 respondents which can be seen in table 1.
Table 1. Respondents’ Profiles
Variabl
es
Categories
Frequ
ency
Gender
Male
229
Female
155
Total
384
Educati
on
High School
178
Bachelor
169
Graduate
37
Total
384
Age
< 20 Years
14
20-29 Years
126
30-39 Years
148
40-49 Years
74
> 50 Years
22
Total
384
4 Results
Evaluation of the Measurement
The measured model, is used to assess the
association between indicator variables and
associated constructs. It specifies the measurement
indicators and the directional link between the
concept and the measurement indicator. The
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2023.22.18
Marcia Yolanda Soares Das Neves,
Mahir Pradana, Elsa Natalicia De Jesus Soares,
Riky Ramadani Prabowo, Dian Gita Utami
E-ISSN: 2224-2678
189
Volume 22, 2023
measurement’s validity and reliability can be seen in
table 2.
Table 2. Evaluation of the Measurement
Factors
Cronbach's
Alpha
Composite
Reliability
Average
Variance
Extracted
(AVE)
Intention to
Use
0.889
0.930
0.768
Knowledge
Management*
0.947
0.957
0.861
Perceived of
Ease Use
0.919
0.935
0.673
Perceived of
Risk
0.882
0.927
0.809
Perceived of
Usefulness
0.908
0.925
0.607
The table above displays the overall findings for
reliability and validity. All Composite Reliability
(CR) and Cronbach's Alpha (CA) values are better
than 0.7, as predicted, and the AVE value is greater
than 0.5. Therefore, it may be stated that the
variable is dependable, has a high level of
dependability, and meets the conditions for validity.
Next, we evaluated the indicators’ loading in table
3.
Table 3. Outer Loading
Variables
Indicator
Factor
Loading
Results
Intention to
Use
IU1
0.850
Valid
IU2
0.888
Valid
IU3
0.912
Valid
IU4
0.854
Valid
Perceived
Ease Use
PE1
0.784
Valid
PE2
0.800
Valid
PE3
0.825
Valid
PE4
0.839
Valid
PE5
0.869
Valid
PE6
0.787
Valid
PE7
0.836
Valid
Perceived
Risk
PR1
0.909
Valid
PR2
0.904
Valid
PR3
0.886
Valid
Perceived
Usefulness
PU1
0.787
Valid
PU2
0.795
Valid
PU3
0.767
Valid
PU4
0.771
Valid
PU5
0.811
Valid
PU6
0.763
Valid
PU7
0.793
Valid
PU8
0.744
Valid
Knowledge
Management*
KM1
0.876
Valid
KM2
0.895
Valid
KM3
0.891
Valid
KM4
0.895
Valid
KM5
0.826
Valid
KM6
0.830
Valid
KM7
0.889
Valid
According to table 3, there is no outside loading
indication with a value of 0.70. This indicates that
the indicator has been deemed legitimate for
research and may be utilized for further
investigation.
Hypothesis Test
We subsequently examine the t-statistic value
between the independent and dependent variables to
determine the predictive model's importance in
evaluating the structural model. The t-statistic
between the independent and dependent variables in
the path coefficient table in the SmartPLS output
can be used to determine the importance of the
prediction model in testing the structural model.
(table 4).
Table 4. Hypothesis Test
Hypothesis
Path
Coefficie
nt
t-
value
s
p-
value
s
Verdict
H
1
Perceived
Ease Use -
> Intention
to Use
0.121
1.659
0.098
Rejecte
d
H
2
Perceived
Risk ->
Intention
to Use
0.499
9.912
0.000
Accepte
d
H
3
Perceived
of
Usefulness
->
Intention
to Use
-0.062
1.250
0.212
Rejecte
d
H
4
Knowledg
e
Manageme
nt ->
Intention
to Use
0.476
10.34
8
0.000
Accepte
d
Table 4 suggests that the perceived ease of use has
an effect on the intention to use, but the effect is not
significant considering the p-value is higher than the
cut-off value. The p-value of H1 is 0.098, which is
higher than the considerable p-value (must be below
0.05). Therefore, H1 is rejected. For the same
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2023.22.18
Marcia Yolanda Soares Das Neves,
Mahir Pradana, Elsa Natalicia De Jesus Soares,
Riky Ramadani Prabowo, Dian Gita Utami
E-ISSN: 2224-2678
190
Volume 22, 2023
reason, H3 is also rejected (p-value 0.212). These
two verdicts mean that perceived ease of use and
perceived usefulness do not have significant effects
on intention to use.
Meanwhile, H2 is accepted, which suggests
intention to use is influenced by perceived risk. The
association between perceived risk and intention to
use has a positive and significant relationship, as
seen by the research significance values of 0.000,
which is smaller than the cut-off value of 0.05, and
0.499 for the positive path coefficient, [35].
Therefore, it can be concluded that hypothesis 2 is
accepted. This result demonstrates how the
perception of risk has an impact on usage intention.
Lastly, the significance level of the moderating
effect of knowledge management is 0.000, which is
smaller than 0.05, and the path coefficient value is
positive 0.476, [36]. Therefore, knowledge
management acts as a strong moderator in the
relationship between perceived ease of use and
intention to use, since the values indicate a
significant and positive association between the
moderating impact and intention to use. Therefore,
H4 is supported. A positive relationship means that
the tendency to use is larger the more the
moderating impact increases, [37]. This result
demonstrates how the moderating influence
significantly affects the intention to use.
5 Conclusion
According to the findings of this study, there is a
substantial positive correlation between the
moderating effect on perceived use and the use of
Digital wallets as a tool for digital transactions.
Therefore, the intention to employ a Digital wallet
increases as the moderating impact increases. On the
other hand, the intention to a utilize Digital wallet as
a digital transaction tool decreases as the
moderating effect increases. Additionally, perceived
ease of use has an effect on the intention to use a
Digital wallet but is not particularly important.
However, this study demonstrates that the intention
of the Dili community to utilize a Digital wallet as a
digital transaction tool is significantly influenced by
perceived risk. There are also additional elements
that can influence the intention to use a Digital
wallet but are not covered in this study, such as
perceived utility, which has no effect but is
substantial on the desire to use a Digital wallet as a
digital payment instrument.
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Mahir Pradana, Elsa Natalicia De Jesus Soares,
Riky Ramadani Prabowo, Dian Gita Utami
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
Marcia Yolanda Soares das Neves carried out the
field survey, data analysis, and the optimization.
Mahir Pradana was responsible for the
conceptualization and review.
Elsa Natalicia de Jesus Soares and Riky Ramadani
Prabowo was responsible for the field survey.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
The authors report no source of funding.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
_US
WSEAS TRANSACTIONS on SYSTEMS
DOI: 10.37394/23202.2023.22.18
Marcia Yolanda Soares Das Neves,
Mahir Pradana, Elsa Natalicia De Jesus Soares,
Riky Ramadani Prabowo, Dian Gita Utami
E-ISSN: 2224-2678
193
Volume 22, 2023
Conflict of Interest
The authors have no conflicts of interest to declare
that are relevant to the content of this article.