Studying the impact of system quality and procedural
efficiency on sustained use of digital payment systems
Amit Kumar Agrawal,
Anshu Dutta
Commerce
Department, Agrasen Mahavidyalaya, Purani Basti, Raipur, Chhattisgarh, India
Abstract
This study examines the impact of system quality and
procedural efficiency on the sustained use of digital payment systems. System
quality includes stability, accuracy, reliability, and clear transaction
display, while procedural efficiency refers to simple payment processes.
Sustained use refers to continued use of digital payment systems for
transactions. The study is required to understand how system quality and
procedural efficiency influence continued usage behavior in digital payment
platforms. A quantitative and explanatory research design was used. Data were
collected through a structured questionnaire using a five-point Likert scale.
Out of 150 distributed questionnaires, 102 valid responses were collected
through Google Forms and analyzed using Structural Equation Modeling–Partial
Least Squares (SEM-PLS). The measurement model confirmed reliability and
validity through Cronbach’s alpha, composite reliability, Average Variance
Extracted (AVE), and HTMT ratio. Hypothesis testing results show that system
quality has a significant positive effect on sustained use, and procedural
efficiency also has a significant positive effect, with procedural efficiency
showing a stronger impact. The combined effect is reflected through the
R-square value of 0.586, explaining 58.6% variance in sustained use. The effect
size (f-square) shows procedural efficiency has a large effect and system
quality a moderate effect. The study is limited by sample size, cross-sectional
design, and scope. Future research may explore usability, transaction speed,
emerging technologies, and system performance under peak load conditions. Based
on findings, improving system reliability and simplifying processes can enhance
user experience and continued usage.
Keywords : Digital
Payment Systems, System Quality, Procedural Efficiency, Sustained Use, and
Structural Equation Modeling (SEM-PLS).
Introduction
The rapid advancement of financial technology has
significantly reshaped the structure of financial transactions in the modern
digital economy. Digital payment systems, supported by mobile technologies,
internet connectivity, and integrated financial infrastructures, have
accelerated the shift from traditional cash-based transactions to electronic
and mobile payment platforms. These technologies enable faster, more
convenient, and secure financial transactions, thereby improving financial
accessibility and operational efficiency across financial systems.
A substantial body of literature has explored the
determinants influencing the adoption and usage of digital payment
technologies. Previous studies suggest that technological convenience and
economic value significantly influence users’ behavioral engagement with
digital payment platforms. For example, Nguyen and Ha (2025) reported that effort
expectancy, price value, and perceived time–cost savings significantly
strengthen digital payment usage behavior. Similarly, Indrijawati et al. (2024) emphasized that perceived usefulness and perceived ease of use improve
operational efficiency and enhance user engagement with digital payment
systems. These findings indicate that technological and operational
characteristics of payment platforms play a crucial role in shaping users’
behavioral responses.
Technological reliability and security have also been
identified as critical factors influencing the continuous use of digital
payment systems. Zhang et al.
(2019) demonstrated that perceived security significantly affects users’ intention
to continue using mobile payment services, while interface design and perceived
user control strengthen security perceptions. Likewise, Fakriah et al. (2025) found that perceived ease of use and perceived security are important
determinants of digital payment adoption, with trust acting as a mediating
factor. Khairunnisa et al. (2025) further highlighted
that perceived security strengthens the relationship between trust and digital
payment usage. From a broader perspective, Khanin et al. (2022) emphasized that innovation development, risk management improvement, and
ecosystem strengthening are fundamental for enhancing the efficiency and
sustainable operation of electronic payment systems.
In addition to technological reliability, the efficiency
of transaction procedures plays an important role in shaping users’ engagement
with digital payment platforms. Previous research indicates that ease of use,
self-efficacy, and operational simplicity significantly influence users’
perceptions toward digital payment technologies Adhikari et al. (2025). Similarly, Song et al. (2023) reported that
perceived usefulness and perceived ease of use positively influence behavioral
outcomes related to mobile payment usage and sustainable consumption behavior.
These findings suggest that efficient and user-friendly transaction procedures
encourage repeated engagement and long-term usage of digital payment services.
Despite the growing body of research on digital payment
adoption and usage, existing studies have primarily examined individual
determinants such as perceived security, trust, ease of use, and technological
infrastructure. However, the combined influence of system quality and
procedural efficiency on the sustained usage of digital payment systems remains
relatively underexplored in the existing literature. In rapidly expanding
digital financial environments, sustained usage is not determined solely by technological
reliability or operational convenience in isolation; rather, it emerges from
the interaction between the structural quality of digital payment systems and
the efficiency of transaction procedures.
Addressing this gap, the present study investigates the
influence of system quality and procedural efficiency on the sustained usage of
digital payment systems. By examining these factors simultaneously, this study
contributes to the existing literature by providing a deeper understanding of
how technological reliability and procedural effectiveness jointly shape
long-term digital payment engagement. The findings of this research may assist
policymakers, financial institutions, and digital service providers in
developing more reliable, efficient, and sustainable digital payment
infrastructures that support the continued growth of digital financial
ecosystems.
Rationale
of the Study
The
increasing adoption of digital payment systems has transformed daily financial
transactions, but sustained use is still influenced by system performance and
ease of use. Users often face issues related to reliability and complexity,
which may reduce continued usage. System quality ensures stable, accurate, and
reliable transactions, while procedural efficiency simplifies the payment
process and improves convenience. Understanding these aspects is important to
examine their impact on continued usage behavior. Therefore, this study is
significant as it provides empirical evidence on the relationship between
system quality, procedural efficiency, and sustained use of digital payment
systems. The findings are expected to support improvements in system design,
enhance user experience, and promote long-term adoption of digital payment
technologies.
Review of Literature
1. System
Quality and Sustained Use
System
quality in digital payment systems reflects technological reliability, security
strength, interface design effectiveness, infrastructural robustness, and risk
management capability. A high-quality system reduces perceived uncertainty,
strengthens user confidence, and supports long-term engagement behavior.
Jiaxin Zhang, Yan Luximon, and Yao Song
(2019) demonstrated that perceived
security plays a decisive role in shaping users’ sustained intention to use
mobile payment services. Their findings further indicate that interface design
and perceived control significantly enhance perceived security, confirming that
structural and technical attributes of the system are essential for maintaining
sustained usage behavior. Similarly, Fakriah R. A., Alfhito M. D., and Mardiyani (2025) identified
perceived security and perceived ease of use as critical determinants of
digital payment adoption, with trust functioning as a mediating mechanism. This
suggests that secure and well-designed systems foster stable user engagement.
Khairunnisa F., Ramadhani E., and Alfi
Ningtyas F. (2025) further emphasized
that perceived security strengthens the relationship between trust and digital
payment usage, underscoring the structural importance of secure system
architecture. From a broader infrastructure perspective, Khanin I., Bilozubenko V., and Sopin
Y. (2022) highlighted that innovation development, risk management
improvement, and ecosystem strengthening are fundamental for enhancing the
quality and sustainable operation of electronic payment systems. Supporting
this view, Asrihapsari, A.,
Putri, I. S., and Anaege, A. E. (2025) stressed
that secure governance mechanisms and reliable QR-based infrastructures are
necessary to sustain national digital payment ecosystems.
Collectively,
these empirical findings indicate that strong system quality enhances
reliability, reduces risk perceptions, and promotes long-term engagement with
digital payment platforms.
2. Procedural
Efficiency and Sustained Use
Procedural
efficiency refers to the extent to which digital payment systems provide speed,
simplicity, cost-effectiveness, operational clarity, and ease of transaction
completion. Efficient procedures reduce user effort and enhance perceived
usefulness, thereby encouraging repeated behavioral engagement.
Nguyen T. T. and Ha V. D. (2025) found that effort expectancy, price
value, and perceived time–cost savings significantly strengthen digital payment
usage behavior. Their findings indicate that transactional efficiency directly
contributes to actual usage outcomes. Likewise, Aini Indrijawati, Mediaty, Arham, Sri Damayanti, and
Muhammad Zulfadli Wahid (2024) identified perceived usefulness and perceived ease of use as
dominant determinants of digital payment adoption, emphasizing efficiency, cost
savings, and user-centric design as drivers of engagement.
Adhikari G. M., Rai B., and Bhattarai G.
(2025) reported that ease of use and
self-efficacy significantly shape positive perceptions toward digital payment
systems, confirming that functional simplicity reinforces usage behavior.
Furthermore, Jing Yuan,
Songyu Jiang, and Bethzaida Mary Joy Dela Cruz (2023) demonstrated that perceived
usefulness and perceived ease of use positively influence behavioral outcomes,
reinforcing the importance of operational efficiency in shaping payment-related
actions. At the sectoral level, Inese Mavlutova, Aivars Spilbergs, Atis Verdenhofs, Andris Natrins, Ilja
Arefjevs, and Tatjana Volkova (2023) established
that digital payments enhance operational efficiency within the financial
sector, contributing to sustainable financial development.
Together,
these findings consistently show that efficient and user-friendly transaction
processes strengthen behavioral engagement with digital payment platforms.
3.
Combined Impact of System Quality and Procedural Efficiency on Sustained Use
Sustained
use of digital payments is not shaped by isolated technological attributes
alone; rather, it emerges from the interaction between system robustness and
procedural efficiency. While system quality ensures reliability, security, and
infrastructural strength, procedural efficiency enhances usability, speed, and
transactional convenience.
Khanin I., Bilozubenko V., and Sopin Y.
(2022) emphasized that innovation,
ecosystem development, and risk management collectively improve the
effectiveness and sustainable functioning of electronic payment systems,
suggesting that structural and operational dimensions are interdependent. Purnawan S. O., Hermawan S., and
Alabdullah T. T. Y. (2025) demonstrated that digital payment methods
and accessibility improvements jointly enhance service quality and user
satisfaction, indicating that system infrastructure and procedural
accessibility operate together to strengthen engagement.
These
empirical insights suggest that system quality and procedural efficiency
function synergistically in influencing sustained digital payment behavior.
Objectives
of the study
1. To
study the influence of system quality of digital payments on sustained use.
2. To
study the impact of procedural efficiency of digital payments on sustained use.
3. To
study the combined impact of system quality and procedural efficiency of
digital payments on sustained use.
Hypothesis
|
S.
No.
|
Null
Hypothesis (H0)
|
Alternate
Hypothesis (H1)
|
|
1.
|
The
system quality of digital payments has no significant influence on sustained
use.
|
The
system quality of digital payments positively influences sustained use.
|
|
2.
|
The
procedural efficiency of digital payments has no significant impact on
sustained use.
|
The
procedural efficiency of digital payments positively impacts sustained use.
|
|
3.
|
System
quality and procedural efficiency of digital payments do not have a combined
significant impact on sustained use.
|
System
quality and procedural efficiency of digital payments have a combined impact
on sustained use.
|
Research
Methodology
This
study adopts a quantitative and explanatory research design to investigate the
relationships among the selected constructs, with Structural Equation
Modeling–Partial Least Squares (SEM-PLS) used as the primary analytical
technique. The research is based on primary data collected through a structured
and standardized questionnaire developed using a five-point Likert scale,
anchored from “strongly disagree” to “strongly agree.” The survey instrument
was administered through Google Forms to a sample of respondents, where 150
questionnaires were distributed and 102 valid responses were obtained. A random
sampling technique was adopted for data collection. The study incorporates
System Quality and Procedural Efficiency as independent variables, while Sustained
Use is treated as the dependent variable.
The
data analysis procedure follows a two-stage approach consistent with SEM-PLS
methodology. In the first stage, the measurement model is assessed to evaluate
the reliability and validity of the constructs using Cronbach’s Alpha,
Composite Reliability, and Average Variance Extracted (AVE), along with
discriminant validity measures such as the HTMT ratio and the Fornell–Larcker
criterion. In the second stage, the structural model is analyzed to examine the
hypothesized relationships among the variables using path coefficients,
t-statistics, p-values, and the coefficient of determination (R²). This
approach ensures a systematic and rigorous assessment of the proposed research
model.
Result
and Discussion
This
section reports the findings derived from the application of Structural
Equation Modeling–Partial Least Squares (SEM-PLS) technique. The analysis is
conducted in two sequential stages: first, the evaluation of the measurement
model, and second, the assessment of the structural model. The purpose of this
analysis is to examine the relationships among system quality, procedural
efficiency, and sustained use of digital payments, and to interpret the results
in line with the study’s objectives and proposed hypotheses. This analysis is
based on respondents’ evaluation of the measurement items included in the
questionnaire.
Analysis
of data
The
analysis of data is based on the responses collected for system quality,
procedural efficiency, and sustained use of digital payment systems. It helps
in understanding how users perceive and evaluate digital payment usage.
Table
No. - 1 Respondents
Perceptions of System Quality of Digital Payment System
|
S.
No.
|
Measurement
Items
|
Strongly Disagree %
|
Disagree %
|
Neutral %
|
Agree %
|
Strongly Agree %
|
|
1.
|
The digital payment system remains technically stable during
transactions.
|
2.94%
|
4.91%
|
2.94%
|
57.84%
|
31.37%
|
|
2.
|
The system operates accurately and reliably during the payment
process.
|
1.96%
|
6.86%
|
2.94%
|
71.57%
|
16.67%
|
|
3.
|
The system displays transaction information clearly and
accurately.
|
1.96%
|
0
|
1.96%
|
61.76%
|
34.32%
|
|
4.
|
The system maintains efficient and fast performance even under
high transaction volumes.
|
2.94%
|
10.78%
|
10.78%
|
49.03%
|
26.47%
|
The
findings for System Quality suggest a moderately positive perception among
users, where most respondents show agreement, but certain concerns are still
visible.
For
the first statement, “The digital payment system remains technically stable
during transactions,” a majority of respondents (57.84%) agreed and 31.37%
strongly agreed. This indicates that the system is generally stable during
transactions. However, the presence of a small percentage of disagreement and
neutral responses shows that technical stability is not experienced equally by
all users.
In
the second statement, “The system operates accurately and reliably during the
payment process,” most respondents expressed agreement (71.57%), while 16.67%
strongly agreed. This reflects a good level of trust in the system’s accuracy
and reliability. At the same time, a small share of negative responses suggests
that occasional errors or reliability issues may still occur.
For
the third statement, “The system displays transaction information clearly and
accurately,” a strong proportion of respondents agreed (61.76%) and strongly
agreed (34.32%). This shows that the system is generally effective in
presenting transaction details. However, the slight presence of neutral
responses indicates that clarity may not be perfect in all situations.
The
fourth statement, “The system maintains efficient and fast performance even
under high transaction volumes,” shows comparatively lower agreement. While
49.03% agreed and 26.47% strongly agreed, a noticeable number of respondents
were neutral (10.78%) or disagreed (10.78%). This suggests that system speed
and efficiency may decline during peak usage for some users.
Overall,
the results indicate that system quality is at a moderate level, with users
generally satisfied but not completely convinced. Stability, accuracy, and
clarity are relatively strong, whereas performance under heavy load remains an
area that requires improvement.
Table
No. - 2 Respondents
Perceptions of Procedural Efficiency of Digital Payment System
|
S.No.
|
Measurement
Items
|
Strongly Disagree %
|
Disagree %
|
Neutral %
|
Agree %
|
Strongly Agree %
|
|
1.
|
The
payment process can be completed in a few simple steps.
|
1.96
%
|
5.88%
|
3.92
%
|
54.90
%
|
33.34
%
|
|
2.
|
The
payment process requires minimal effort.
|
1.96
%
|
0.98
%
|
3.92
%
|
66.67
%
|
26.47
%
|
|
3.
|
The
payment process is clear and easy to understand.
|
1.96
%
|
3.92
%
|
4.90
%
|
64.71
%
|
24.51
%
|
The
analysis of Procedural Efficiency shows that a large proportion of respondents
have expressed agreement with all the given statements, indicating a positive
perception of the payment process.
For
the first statement, “The payment process can be completed in a few simple
steps,” 54.90% of respondents agreed and 33.34% strongly agreed. Only a small
percentage expressed disagreement (5.88%) or remained neutral (3.92%), while
very few strongly disagreed (1.96%). This indicates that most users find the
payment process simple and manageable.
For
the second statement, “The payment process requires minimal effort,” 66.67% of
respondents agreed and 26.47% strongly agreed. Very few respondents showed
disagreement (0.98%) or strong disagreement (1.96%), and only 3.92% remained
neutral. This suggests that users generally perceive the payment process as
requiring very little effort.
For
the third statement, “The payment process is clear and easy to understand,”
64.71% of respondents agreed and 24.51% strongly agreed. A small proportion of
respondents were neutral (4.90%) or disagreed (3.92%), while 1.96% strongly
disagreed. This indicates that the payment process is considered clear and
understandable by most users.
Overall,
the results show that the majority of respondents fall under the “agree” and
“strongly agree” categories for all statements, while only a small percentage
fall under neutral or disagreement categories. This reflects a generally
positive perception of procedural efficiency among users.
Table
No. - 3 Respondents
Perceptions of Sustained Use of Digital Payment System
|
S.No.
|
Measurement
Items
|
Strongly Disagree %
|
Disagree %
|
Neutral %
|
Agree %
|
Strongly Agree %
|
|
1.
|
Digital
payments are consistently used for day-to-day transactions.
|
1.96 %
|
3.92
%
|
6.86
%
|
52.94
%
|
34.32
%
|
|
2.
|
Digital
payments currently serve as the primary mode for most transactions.
|
3.92
%
|
3.92
%
|
1.96
%
|
56.86
%
|
33.34
%
|
|
3.
|
Despite
the availability of alternative payment options, digital payments are used
more frequently.
|
2.94
%
|
2.94
%
|
1.96
%
|
58.82
%
|
33.34
%
|
|
4.
|
Digital
payments have become the dominant method for conducting transactions.
|
1.96
%
|
3.92
%
|
1.96
%
|
58.82
%
|
33.34
%
|
The analysis of Sustained Use indicates that most
respondents report frequent and continuous use of digital payment systems
across different situations.
For the first statement, “Digital payments are
consistently used for day-to-day transactions,” 52.94% of respondents selected
“agree” and 34.32% selected “strongly agree.” Only a small share chose neutral
(6.86%), disagree (3.92%), or strongly disagree (1.96%). This pattern shows
that regular use in everyday transactions is common among users.
For the second statement, “Digital payments currently
serve as the primary mode for most transactions,” 56.86% agreed and 33.34%
strongly agreed. A limited proportion of respondents expressed disagreement
(3.92%) or strong disagreement (3.92%), while 1.96% remained neutral. These
responses suggest that digital payments are widely used as the main transaction
method.
For the third statement, “Despite the availability of
alternative payment options, digital payments are used more frequently,” 58.82%
agreed and 33.34% strongly agreed. Only 2.94% disagreed, 2.94% strongly
disagreed, and 1.96% selected neutral. This indicates that users tend to prefer
digital payments even when other options are available.
For the fourth statement, “Digital payments have become
the dominant method for conducting transactions,” 58.82% agreed and 33.34%
strongly agreed. A small percentage reported disagreement (3.92%) or strong
disagreement (1.96%), and 1.96% remained neutral. This reflects a general view
that digital payments are the leading mode of transaction.
Overall, the distribution of responses shows that most
participants fall within the “agree” and “strongly agree” categories for all
items, while only a small proportion selected neutral or negative options. This
demonstrates a consistent and widespread use of digital payment systems among
respondents.
Measurement
Model
The
measurement model was evaluated to examine the reliability and validity of the
constructs used in the study. This assessment focuses on internal consistency,
convergent validity, and discriminant validity to ensure that the measurement
items appropriately represent their respective constructs.
Reliability
and Convergent Validity
Table
No. - 4 Construct
reliability and validity - Overview
|
Variables
|
Cronbach's
alpha
|
Composite
reliability (rho_a)
|
Composite
reliability (rho_c)
|
Average
variance extracted (AVE)
|
|
Procedural
Efficiency
|
0.786
|
0.805
|
0.875
|
0.700
|
|
Sustainaed Use
|
0.856
|
0.860
|
0.903
|
0.700
|
|
System
Quality
|
0.725
|
0.740
|
0.825
|
0.542
|
Reliability
was assessed using Cronbach’s alpha, composite reliability (rho_a and rho_c),
and internal consistency measures. The values of Cronbach’s alpha for all constructs
were found to be above the acceptable threshold, indicating satisfactory
internal consistency. Similarly, the composite reliability values (rho_a and
rho_c) exceeded the recommended level of 0.70, demonstrating strong reliability
of the constructs.
Convergent
validity was examined using the Average Variance Extracted (AVE). The AVE
values for all constructs were greater than the threshold value of 0.50, which
indicates that the indicators share a high proportion of variance with their
respective constructs. This confirms that the measurement items adequately
represent the intended constructs.
Table
No. - 5 Discriminant
validity - Fornell - Laraker criterion
|
Variables
|
Procedural
Efficiency
|
Sustained Use
|
System
Quality
|
|
Procedural
Efficiency
|
0.837
|
|
|
|
Sustained Use
|
0.703
|
0.837
|
|
|
System
Quality
|
0.534
|
0.631
|
0.736
|
Discriminant
validity was assessed using the Fornell–Larcker criterion. The findings show
that the square root of the Average Variance Extracted (AVE) for each construct
is greater than its correlation with other constructs. This indicates that the
constructs are clearly distinct from one another and represent separate
concepts within the model.
Table No. – 6 Discriminant
Validity (HTMT Ratio)
Discriminant
validity - Heterotrait - monorate ratio (HTMT)- Matrix
|
Variables
|
Procedural
Efficiency
|
Sustained Use
|
System
Quality
|
|
Procedural
Efficiency
|
|
|
|
|
Sustainable
Use
|
0.850
|
|
|
|
System
Quality
|
0.683
|
0.771
|
|
Discriminant
validity was further evaluated using the Heterotrait–Monotrait (HTMT) ratio. As
per the standard criterion, HTMT values should be below 0.90 to establish
acceptable discriminant validity. The results show that all HTMT values fall
within this recommended limit, indicating that the constructs are sufficiently
distinct and there is no significant overlap among them.
Structural
Model
The
structural model was developed to examine the relationships among the
constructs and to evaluate the proposed hypotheses
Structural Model
Representation
The
structural model is presented to show the relationships among system quality,
procedural efficiency, and sustained use. It illustrates the direction and
strength of the relationships and forms the basis for hypothesis testing.
Hypothesis
Testing
The
hypotheses were tested using SEM-PLS results based on path coefficients,
t-values, and p-values. This section presents the significance of relationships
among the constructs in the model.
Table
No. – 7 Path
Coefficients for System Quality → Sustained Use
|
Variables
|
Original
sample (O)
|
Sample
mean (M)
|
Standard
deviation (STDEV)
|
T
statistics (|O/STDEV|)
|
P
values
|
|
System
Quality -> Sustained Use
|
0.357
|
0.364
|
0.119
|
3.006
|
0.003
|
System
quality shows a significant positive effect on sustained use with a
standardized path coefficient (β = 0.357), indicating that an increase in
system quality leads to a corresponding increase in sustained use. The t-value
of 3.006 is greater than the critical value of 1.96, which confirms that the
effect is statistically significant, while the p-value of 0.003 is below the
0.05 significance level, further supporting the reliability of the result.
Therefore, the relationship is statistically significant, and the alternative hypothesis
is accepted.
Table
No. – 8 Path
Coefficients for Procedural Efficiency → Sustained Use
|
Variables
|
Original
sample (O)
|
Sample
mean (M)
|
Standard
deviation (STDEV)
|
T
statistics (|O/STDEV|)
|
P
values
|
|
Procedural
Efficiency -> Sustained Use
|
0.512
|
0.501
|
0.139
|
3.689
|
0.000
|
Procedural
efficiency shows a significant positive effect on sustained use with a
standardized path coefficient (β = 0.512), indicating that higher procedural
efficiency leads to an increase in sustained use. The t-value of 3.689 is
greater than the critical value of 1.96, confirming that the relationship is
statistically significant, while the p-value of 0.000 is below the 0.05 level
of significance, further strengthening the result. Therefore, the relationship
is statistically significant, and the alternative hypothesis is accepted.
Table
No. – 9 Combined
Effect (System Quality and Procedural Efficiency → Sustained Use)
|
Variable
|
R-square
|
R-square
adjusted
|
|
Sustained Use
|
0.586
|
0.578
|
The
R-square value of 0.586 indicates that system quality and procedural efficiency
together explain 58.6% of the variance in sustained use. The adjusted R-square
value of 0.578 shows a stable explanatory capacity of the model after
adjustment for the number of predictors.
Table
No. – 10 f-square
|
Variables
|
f-square
|
|
Procedural
Efficiency -> Sustained Use
|
0.453
|
|
System
Quality -> Sustained Use
|
0.221
|
The
effect size (f²) was examined to assess the individual contribution of each
predictor to sustained use. The results indicate that procedural efficiency
exhibits a large effect size (f² = 0.453), suggesting a strong influence on
sustained use. System quality shows a medium effect size (f² = 0.221),
indicating a moderate contribution. These findings suggest that both constructs
contribute meaningfully to sustained use, with procedural efficiency
demonstrating a relatively stronger impact compared to system quality.
Conclusion
The present study highlights that both system quality and
procedural efficiency play an important role in encouraging the continued use
of digital payment systems. System quality ensures that the platform remains
reliable, secure, and technically stable during transactions, which builds user
confidence. On the other hand, procedural efficiency makes the payment process
simple, fast, and easy to understand, which reduces user effort and improves
convenience. The empirical findings confirm that both factors significantly and
positively influence sustained use. However, procedural efficiency shows a
comparatively stronger impact, indicating that users give more importance to
ease and speed of transactions in their daily payment activities.
Overall, it can be concluded that sustained use of
digital payment systems depends on the combined effect of strong system
performance and smooth transaction processes. When both aspects are effectively
improved, users are more likely to trust the system, feel satisfied, and
continue using digital payment platforms in the long run.
Suggestions
1. Improve system reliability, data protection, and
stability to enhance user trust in digital payment systems.
2. Simplify the transaction process to make digital
payments faster and easier to use.
3. Ensure regular system updates and maintenance to
reduce technical errors.
4. Provide clear instructions and user-friendly
interfaces for better understanding.
5. Promote user awareness programs to improve digital
payment literacy.
6. Integrate advanced technologies to enhance efficiency
and user experience.
Limitations
1. The study is based on a limited sample size of 102
valid responses.
2. Data were collected through a structured questionnaire
using Google Forms, which may involve response bias.
3. The study includes only selected indicators of system
quality and procedural efficiency, which may not represent all aspects
influencing sustained use of digital payment systems.
4. This study is cross-sectional in nature and does not
capture changes in user behavior over time.
5. The findings may not be fully generalizable to all
digital payment users due to the limited sample size and study scope.
Directions for Future Research
1. Further research can focus on system usability,
interface design, and user experience as key determinants of sustained use of
digital payment systems.
2. Additional investigations may examine the role of
service efficiency, transaction speed, and perceived convenience in influencing
digital payment adoption.
3. The influence of emerging technologies and advanced
security mechanisms on digital payment usage can be explored in future studies.
4. Future research may examine how payment reliability
during peak transaction periods affects user continuity and system preference.
5. Further studies can investigate the role of system
errors and technical glitches in affecting user trust and continued usage of
digital payment systems.
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