The Effect of Ease of Use, Usefulness, Trust, Self-efficacy, and
Security on Adoption Technology
Dyah Sugandini, Mohamad Irhas Effendi, Yuni Istanto
Universitas Pembangunan Nasional Veteran Yogyakarta
Keywords: PEOU, PU, self-efficacy, trust, security, and adoption
Abstract: This study aims to determine the effect of perceived ease of use, usefulness, trust, self-efficacy, and security
towards the decision to use e-payment, namely GO-PAY. This study uses 200 respondents. Data collection
techniques using purposive sampling. The data analysis tool used is structural equation modeling (SEM).
The results of this study indicate that the hypotheses proposed are not all supported. Perceived ease does not
influence trust. Other hypotheses proposed are supported. That is, the adoption model GOPAY in this study
is influenced by perceptions of usefulness, self-efficacy, trust, and security.
1 INTRODUCTION
Digital transformation 4.0 has changed many aspects
of human life. Advances in technology have an
impact on lifestyle changes in the digital age
consumers. Transformation makes it easy for
consumers to adapt to the world of technology with
various conveniences in the media. The use of
technology requires consumers to pay more attention
to security from various aspects of information,
personal data, and financial transactions. Millward
(2014) shows that 51% of the total population in
Indonesia has used the internet through smartphones,
and noted that almost 75% of internet users in
Indonesia are aged 15-34 years. The rapid
development of the internet also makes it easy to do
various kinds of financial transactions, such as
making payments and transfers. E-payment system
(EPS) offers a variety of benefits by speeding up the
transaction process and selling products at lower
prices. GO-PAY is one of the vendors providing e-
payment. GO-PAY is an electronic money or digital
wallet or virtual wallet in the form of a GO-JEK
balance and can be used to pay for various GO-JEK
services and other transactions. EPS can be
classified into cash-based and account-based
systems. Electronic cash and prepaid cards are cash-
based systems, whereas credit cards, debit cards, and
electronic checks are account-based payment
systems. EPS has been used throughout the
world,with some countries having fully developed
systems and others continuing to improve (Kim et
al., 2010; Barkhordari et al., 2016).
Adoption EPS by customers can be influenced
by security and trust (Hanafizadeh et al., 2014;
Junadi, 2015), but there is still a lack of in-depth
studies to investigate the perceived trust and safety
of EPS customers (Barkhordari et al., 2016).
Existing studies (Sanayei and Noroozi, 2009;
Alikhani and Davarzani, 2014) do not have a broad
analysis of the various factors that influence the
adoption of EPS, and the focus is only on trust and
security limited to a group of customers. Maroofi et
al. (2012) also add that there is little research on the
direct relationship between perceived consumer
security and trust in EPS. This study analyzes EPS
adoption by adding variables PEOU, PU, and self-
efficacy. This research develops several factors that
influence adoption using the TAM 3 model
(Venkatesh and Bala, 2008), which extends TAM in
the e-commerce context.
2 LITERATURE REVIEW
2.1 e-Payment and e-Commerce
E-commerce refers to purchases and sales
transactions made through the Internet. E-commerce
includes communication to send information,
Products, services, or payments by electronic means,
technology applications towards transaction
Sugandini, D., Effendi, M. and Istanto, Y.
The Effect of Ease of Use, Usefulness, Trust, Self-efficacy, and Security on Adoption Technology.
DOI: 10.5220/0009964400890093
In Proceedings of the International Conference of Business, Economy, Entrepreneurship and Management (ICBEEM 2019), pages 89-93
ISBN: 978-989-758-471-8
Copyright
c
2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
89
automation, and services to improve the speed and
quality of shipping that can cut costs (Yang, 2017).
In an e-commerce environment, payments are made
in electronic form, so it is called an e-payment
system (EPS). Mukherjee & Roy (2017) points out
some of the main benefits of the system e-
commerce, namely: e-commerce is a modern
business system, it can be used anytime and
anywhere in the global market immediately,
requiring dedicated human resources, purchasing or
selling systems as electronic, only requires an
internet connection, PC and knowledge, information
can be shared with partners in just a few moments.
2.2 Perceived Ease of Use (PEOU) and
Trust
Gefen, Karahanna, and Straub (2003) broaden the
Technology Acceptance Model model (TAM) by
adding trust factors in the e-commerce context.
TAM states that PEOU can influence the level of
customer adoption in using information technology.
However, because customer behavior online cannot
be easily predicted and the risk of adopting payment
transactions via the Internet is also high, trust is a
factor that must be considered in adoption e-
commerce (Chinomona, 2013; Beldad & Hegner,
2018). The risk and uncertainty of using a mobile
application are because the application can
jeopardize user privacy (Giota & Kleftaras, 2014;
Keith, Lewis & Wyatt, 2014). The risks and
uncertainties associated with the decision to use
mobile applications in transactions online require
trust. Beldad & Hegner (2018); Sugandini et al.,
(2018a) show that the risks and uncertainties
associated with the decision to use a mobile
application require trust, given its relevance in
situations where the positive results of an action
cannot be ascertained precisely and when certain
technologies can be exploited to damage its users.
H1: Perceived Ease of Use influences trust H2:
Trust influences adoption technology
2.3 Perceived Usefulness and the Trust
Technology Acceptance Model (TAM) has been
widely used to explain the perceived usefulness that
affects consumers' online shopping behavior (Davis,
1989). Sugandini et al., (2018b); Diop et al., (2019)
show that perceived usefulness in using certain
technologies will improve performance. Trust is
another factor that is believed to influence consumer
online shopping behavior (Jin et al.,2015). Trust is a
multidimensional concept because trust is based on a
rational assessment of individual abilities and
integrity. In the online environment, trust is mainly
built from the site through person-to-person
communication, which is mediated by technology.
Trust is important because online shoppers and
retailers cannot physically see each other during
interactions. Lack of trust is one of the main reasons
why customers don't buy online (Beldad & Hegner,
2017).
H3: Perceived Usefulness Influences Trust
2.4 Self-efficacy and Security
Ozer and Bandura defined self-efficacy as one's
belief in their ability to mobilize the motivation,
cognitive resources, and actions needed to control
events. Self-efficacy affects one's motivation and
actions, self-regulation, initiation, and perseverance
in adapting to face obstacles (Vance et al., 2012).
Shahri and Mohanna (2016) state that self-efficacy
affects the security of user information. Self-efficacy
Users can benefit the effectiveness of information
security programs. Hameed & Arachchilage (2018)
states that self- efficacy is one of the main predictors
of information system security.
H4: Self-Efficacy influences security
2.5 Security and Trust
Access to security guidelines in e-payment systems
is among the important factors that influence
customer trust (Barkhordari, 2016). Customers who
understand security measures, security policies,
electronic payment systems will increase customer
confidence (Lim, 2008). Ease of security access,
resolve security issues through the guidelines
available on the EPS website. Ease of access and
visibility regarding security on the EPS website can
increase online transactions (Sanayei and Noroozi,
2009). Maroofi et al. (2012) conclude that online
regulations are subject to several security threats and
propose that consumer confidence in transactions
online is influenced by the security of the website.
Maroofi et al., (2012); Sugandini et al., (2018a;
2018b) show a positive and significant relationship
between the concept of online security and trust.
Barkhordari, (2016) states that e-payment service
providers must consider trust and security as
important characteristics of the use of EPS.
H5: Security influences Trust
ICBEEM 2019 - International Conference on Business, Economy, Entrepreneurship and Management
90
3 RESEARCH METHOD
The study was conducted in the form of a survey,
using an explanatory research approach, namely,
research that explains the causal relationship
between variables through hypothesis testing
(Creswell and Clark, 2017), as well as with survey
samples, i.e., samples taken from a population and
using a questionnaire as a tool principal data
collection and individual analysis units. Respondents
in this study include all GO-PAY users in the
Special Region of Yogyakarta who are over 17 years
old. The number of samples in this study was 200
people. The direct effect (Path coefficient) is
observed from standardized regression weights by
testing the comparative significance of CR (Critical
Ratio). Testing of models developed with various
criteria Goodness of Fit (Hair, Anderson, Tatham, &
Black, 1998).
4 RESULTS
4.1 Hypothesis Testing Results
The measurement model test results in this study are
relatively good, so they can proceed to the structural
model analysis stage without modification. The
results of the structural equation model analysis
showed that the resulting goodness of fit index value
showed fit results. Value of 0.015; GFI 0.913;
RMSEA 0.100; TLI 0.973; CFI 0.994 and CMIN /
DF of 3,087. The results of testing the structural
model presented in table 1 show that not all
hypotheses are supported.
Table 1. Path coefficients
The complete model about GO-PAY adoption
can be seen in Figure 1.
Figure 1. Model of technology adoption GO-PAY
4.2 Discussion
This study could explain the model adoption of GO-
PAY technology that is influenced by usefulness,
ease of use, self-efficacy, security, and trust. Nearly
all of the hypotheses proposed in the research were
supported; only the first hypothesis in this study was
unsupported. This study does not support the
hypothesis that ease of use influences trust. This is
because going pay users already feel the ease of use,
but the convenience obtained is not able to increase
trust in using GO-PAY. This mistrust is caused by
GO-PAY users being the initial perpetrators in terms
of e-payment. So there are still doubts regarding the
use of GO-PAY. So the results of this research
cannot support the opinion of Chinomona, (2013);
Giota & Kleftaras, (2014); Keith et al., (2014), and
Beldad & Hegner, (2018).
The second hypothesis states that trust influences
the adoption of supported GO-PAY technology. This
shows that actually even though GO-PAY users
have a level of trust that is not too high, but because
of the need for high use of GO-PAY so this trust can
increase adoption of GO-PAY, even though it is still
limited payment transactions that exist in the
GOJEK application. The results of this study support
Keith et al., (2014); Sugandini et al., (2018a, 2018b),
and Beldad & Hegner (2018). The third hypothesis
which explains that there is an influence of PU on
supported trusts. Customers who already feel the
benefits of using GO-PAY will trust more.
Customers can feel that the benefits of using GO-
PAY are relatively numerous; among other things,
customers have no trouble paying if they don't carry
cash, GO-PAY can handle payments with just one
click so that the results of this study support Diop et
al., (2019) and Jin et al., (2015).
The fourth hypothesis which states that efficacy
has an influence on security supported. This can
indicate that the ability to control attitudes and
behavior towards the desired course of action can
increase perceptions about the safety of using GO-
H
ypothesis
E
stimate S.E. C.R P
n
formation
H1 0.445 0.055 8.106 ***
S
upporte
d
H2 0.022 0.094 0.231 0.817 Not
S
upporte
d
H3 0.752 0.094 7.982 ***
S
upporte
d
H4 0.285 0.075 3.789 ***
S
upporte
d
H5 0.645 0.085 7.607 ***
S
upporte
d
The Effect of Ease of Use, Usefulness, Trust, Self-efficacy, and Security on Adoption Technology
91
PAY. Users who feel confident that they can use the
GO- PAY application properly feel comfortable and
safe using GO-PAY. This study supports Vance et
al. (2012), Shahri & Mohanna (2016), and Hameed
& Arachchilage (2018). The fifth hypothesis states
that security influences supported trust. Customers
who understand the security system in electronic
payments can increase trust in e-payment. GO-PAY
customers mostly already understand the good use of
GO-PAY. Proficiency in handling risk and ease of
accessing security systems from GO-PAY can
increase customer confidence in using GO-PAY. So
that by increasingly perceiving that GO-PAY is safe
to use, then trust in GO-PAY also increases. The
results of this study support Maroofi et al. (2012):
Barkhordari (2016), who states that e-payment must
consider trust and security as important factors in the
adoption of GO-PAY.
5 LIMITATIONS AND
SUGGESTIONS
This study only analyzes the use of GO-PAY for
payment transactions, although there are many other
forms of payment that can be used in online
transactions. Further research is expected to further
analyze the adoption of GO-PAY by taking a
complete set so that it can revise the findings of this
research, which are not significant. Taking more
complex e-payment settings can increase the
generalization of the research findings. Some
research variables can also be used in analyzing GO-
PAY adoption as a form of e-payment. These
variables are the Technical & Transaction Procedure
(Barkhordari et al., 2016), compatibility, and
network externalities (Maxim Lundh & Alexander
Svensson, 2018).
REFERENCES
Alikhani, A., & Davarzani, M. H., 2014. “An investigation
on factors influencing electronic banking adoption in
private banks versus public banks”. Management
Science Letters, 4 (1): 37-42.
Barkhordaria, M., Nourollaha, Z., Mashayekhib, H.,
Mashayekhic, Y., Ahangar, M.S., 2016. “Factors
influencing adoption of e-payment systems: an
empirical study on Iranian
customers", Information Systems and e- Business
Management. March, pp 1-26. DOI: 10.1007 / s10257-
016-0311-1
Beldad, Ardion D., & Hegner, Sabrina. M., 2017.
"Expanding the technology acceptance model with the
inclusion of trust, social influence, and health
valuation to determine the predictors of German users'
willingness to continue using a fitness app: a structural
equation modeling approach". International Journal of
Human – Computer Interaction. Vol. 34, Issue 9. Nov,
pp. 882-893. https://doi.org/10.1080/10447318.
2017.1403220.
Chinomona, R.. 2013. “The influence of perceived ease of
use and perceived usefulness on trust and intention to
use mobile social software”, African Journal for
Physical, Health Education, Recreation and Dance
(AJPHERD), Volume 19 (2), June. pp. 258-273.
Creswell, J. W., & Clark, Vicki L. Plano., 2017.
“Designing and Conducting Mixed Methods
Research”. SAGE Publications Inc. Publication City /
Country Thousand Oaks, United States ISBN-10
1483344371. 9781483344379
Davis, F. D., 1989. “Perceived usefulness, perceived ease
of use, and user acceptance”, MIS Quarterly. Vol.13
(3), pp. 319–39.
Diop, E.B, Zhao S., & Duy, T.V., 2019. “An
extension of the technology acceptance model for
understanding travelers' adoption of variable
message signs”, PLoS ONE, 14 (4):
e0216007https://doi.org/10.1371/journal.pone.
0216007
Fatonah, S., Yulandari, A., & Wibowo, F.W., 2018. “A
Review of E-Payment Systems in E- Commerce”,
Journal of Physics Conference Series. December,
DOI: 10.1088 / 1742-6596 / 1140/1/012033
Hameed, M.A., & Arachchilage, N. A. G., 2018.
“Understanding the influence of individual, self-
efficacy for information systems security innovation
adoption: A systematic literature review”, 17th
Australian Cyber Warfare Conference (CWAR),
October 10-11th, Melbourne, Victoria, Australia.
arXiv: 1809.10890
Hair Jr., Anderson, R.E, Tatham, R.L., & Black, W.C.,
1998. “Multivariate Data Analysis”, New Jersey:
Prentice-Hall International, Inc. Hawkins DI, Best.
Hanafizadeh, P., Behboudi, M., Koshksaray, A., & Tabar,
J. S. M., 2014. “Mobile-banking adoption by Iranian
bank clients”, Telematics and Informatics. 31 (1): 62-
78.
Junadi, S., 2015. “A model of factors influencing
consumer's intention to use e-payment systems in
Indonesia". Procedia Computer Science. Vol. 59, p.
214-220.
Karamjeet Kaur., & Ashutosh Pathak., 2015. “E- Payment
System on E-Commerce in India”, Journal of
Engineering Research and Applications. Vol. 5, Issue
2, (Part -1) February, pp.79-87.
Kim, C., Tao, W., Shin, N., & Kim, K. S., 2010. “An
empirical study of customers' perceptions of security and
trust in e-payment systems”, Electronic Commerce
Research and Applications. Vol. 9 (1), pp. 84-95.
ICBEEM 2019 - International Conference on Business, Economy, Entrepreneurship and Management
92
Lim, A. S., 2008. “Inter-consortia battles in mobile
payments standardization”, Electronic. Commerce.
Vol.7, pp. 202-213.
Lim, Yi-Jin., Osman, A., & Suberi, M., 2014. “Perceived
usefulness and trust towards consumer behavior: a
perspective of consumer online shopping”, Asian
Journal of Scientific Research. Vol. 4 (10), pp. 541-
546. http://www.aessweb.com/journals/5003
Maroofi, F., Hashemi, R., & Nargesi, Z., 2012. “Survey of
customers' conceptions of security and trust in e-
payment systems”, Asian Journal of Business
Management. Vol. 4 (3): 275-285
Maxim., & Alexander., 2018. “Exploring the consumer
adoption of alternative e-payment methods: A study of
the Swedish market”, Bachelor of Thesis in Business
Administration, Jonkoping University.
Mukherjee, Momin., & Roy, Sahadev., 2017. “E-
commerce and online payments in the modern era”,
Volume 7, Issue 5, May, pp 1-5. DOI: 10.23956 /
ijarcsse / SV7I5 / 0250.
Sanayei, A., & Noroozi, A., 2009. “Security of Internet
banking services and its linkage with users' trust: A
case study of Parsian banks of Iran and CIMB banks
of Malaysia”, International Conference on Information
Management and Engineering, IEEE press, pp. 3-7.
Shahri, A.B., & Mohanna, S., 2016. “The Impact of the
Security Competency on "Self-efficacy in Information
Security" for Effective Health Information Security in
Iran. In: Rocha Á., Correia A., Adeli H., Reis L.,
Mendonça Teixeira M (eds), New Advances in
Information Systems and Technologies. Advances in
Intelligent Systems and Computing, Vol 445.
Springer, Cham
Sugandini D., Sudiarto., Surjanti, J., Maroah, S., &
Muafi. (2018a). “Intention to delay: The
context of technology adoption based on android”,
International Journal of Civil Engineering and
Technology, Vol 9, Issue 3, p. 736-746.
Sugandini D., Purwoko., Pambudi, A., Resmi, S., Reniati.,
Muafi., and Kusumawati, R.A (2018b). “The Role of
Uncertainty, Perceived Easy of Use, and Perceived
Usefulness Towards the Technology Adoption”,
International Journal of Civil Engineering and
Technology, Vol 9, Issue 4, p. 660-669
Vance, A., Siponen, M., & Pahnila, S., 2012. “Motivating
IS security, compliance: insights from habit and
protection motivation theory”, Information &
Management. Vol. 49, pp. 190- 198.
Venkatesh, V., & Bala, H., 2008. “Technology acceptance
model 3 and a research agenda on interventions”.
Decision sciences. 39 (2): 273-315.
Yang, Wenjing., 2017. “Analysis on online payment
systems of e-commerce”. Bachelor's Thesis. Business
Information Technology, Oulu University of Applied
Sciences
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