23
Millennials' Purchase Intention Towards Online Travel Agent in Indonesia
1
Ruth Srininta Tarigan,
2
Jacqueline
1
Lecturer of International Business Management, Petra Christian University
2
Graduate Students of International Business Management, Petra Christian University
Jl. Siwalankerto 121-131 Surabaya 60236, INDONESIA
Email: ruth.tarigan@peter.petra.ac.id
Abstract
This study investigates the factors that impact Indonesian millennials when purchasing airline tickets
through the Online Travel Agent. Millennialsmillennial
is half of financially strong population and is tech-savvy. Thus this generation is very likely to
shop online. Four factors proposed in this study, namely ease of payment, trust, benefits of online shopping,
and information quality, were hypothesized to affect millennial's purchasing decision. Data is gathered from
millennials who have bought airline tickets online. The questionnaire is spread online, and data from 94 valid
respondents is collected. To test the hypotheses, the data is analyzed with Multiple Linear Regression using
SPSS. The adjusted r-square result is 0.483, which means that 48.3% of the variability of the dependent
variable is explained by the four independent variables. While the t-test result suggests that, out of the four
factors previously found to affect purchase intention in general, only three affect millennials
intention, namely ease of payment, trust, and benefits of online shopping. Information quality is found to have
an insignificant effect towards millennialsintention.
Keywords: Ease of payment, Trust, Benefits of online, Information quality, Purchase Intention.
1. Introduction
Indonesia, the biggest country with the highest
number of populations in the South East Asia region,
is known as the most attractive market, not only for
business in general but also for e-commerce. 35% of
the population use the internet in 2015, and 53% is
projected in 2020. With a total population of 260
million, growing smartphone penetration, and the
growing internet user and middle class, Indonesia is
the most attractive markets for e-commerce in the
area (Rahadiana, 2018). This is one reason why there
is a number of foreign investors and companies
-commerce platform. Last
year Alibaba spent USD 1.1 Billion in Tokopedia,
Expedia put US$ 350 Million in Traveloka, while
Tencent invested US$1.2 billion to GO-JEK (Russel,
2017). In fact, four out of seven unicorns in South
East Asia is from Indonesia, namely GO-JEK,
Traveloka, Tokopedia, and Bukalapak (Agung,
2017).
Despite all the fact above, only 9.25% of
Indonesian ever shopped online (Statista, 2018).
Compared to the number of Indonesians who use the
internet, this number suggests that Indonesians are
online, but not to shop. A survey by Indonesia's e-
commerce association (iDEA), research firm MARS
Indonesia, and marketing magazine SWA revealed
that a third of respondent out of three thousand
respondents did not trust the online shop. Contributing
to this lag is the lack of an easy payment method
(Freischlad, 2017). E-commerce in Indonesia needs to
address concerns that Indonesian have when shop
online because it needs buyers, not browsers.
There have been multiple researches done on e-
commerce purchase intention, but most of them are
done in different cultures or countries. For example,
empathy and trust directly influence customer pur-
chase intention in Malaysia (Sam & Tahir, 2009),
Website Quality in the U.S (Wells, Valacich, & Hess,
2011), and perceived enjoyment, perceived useful-
ness, firm reputation and social influence in Iran
(Abadi, Hafshejani, & Zadeh, 2011). Other researches
made in a different country or culture provides
different factors.
Among many factors researched, there is a need
to find factors influencing purchase intention in the
Indonesian context. Research by Pujani (2011) found
that quality of system and information, feature, and
satisfaction affect the use of e-commerce websites.
VOL. 1, NO. 1, JUNE 2018, 2334 DOI: 10.9744/ijbs.1.1.2334
INTERNATIONAL JOURNAL OF BUSINESS STUDIES, VOL. 1, NO. 1, JUNE 2018: 2334
24
However, this research did not distinguish between
browsers and buyers. Another analysis by Napitupulu
& Kartavianus (2014) tried to resolve this issue. Their
research finds four factors that influence purchase
intention in Indonesia, namely trust, ease of online
payments, benefits of online shopping, and infor-
mation quality. However, the finding is still very
general as it mentions e-commerce in Indonesia. It is
not clear whether all variables influence purchase
intention if it is used in the more specific area, such as
industry, demographic, or e-commerce types. There-
fore, as the extension of Napitupulu & Kartavianus
(2014), this work tests their findings in Online Travel
Agent.
This research focuses on B2C e-commerce
inside the travel and tourism industry, that is Online
Travel Agent (OTA). The travel and tourism industry,
in general, is growing in Indonesia. It contributed
1.8% of total GDP in 2016 and is forecasted to keep
growing by 5.6% p.a from 2017-2027 (World Travel
and Tourism Council, 2017). Specific to OTA,
Traveloka is the most significant player in Indonesia,
followed by Tiket.com (Yan, 2016; Agung, 2017).
This two alone capture the significant portion of the
market (Agung, 2017). Traveloka has more than 80%
flight market share in Indonesia, while Tiket.com has
5-10% flight market share in Indonesia (Agung, 2017;
Safenson, 2017). This research will use Traveloka and
Tiket.com as the object since the significant market
share of the two combined can represent the market as
a whole.
Population for this research is Indonesian millen-
nials who have used at least one of OTA mentioned
above in the last three months. Millennials are
important
population are millennials (Money and Finance,
2018). They are the new tourists who seek for the
experience by traveling to destinations around the
world. This generation is social media users and is
tech savvy (Chigne, 2017), and social media and
internet are their primary source of information. It is
very likely they use OTA as in general there is a shift
in which booking are now made online and on-the-go
rather than using offline intermediaries (Euromonitor,
2017). Therefore, it is essential to know if ease of
payment, trust, benefits of online shopping, and
info
intention when buying airline tickets from OTA. The
findings of this research should make an important
contribution to the field of human behavior online,
specifically the purchase intention of millennials.
2. Literature Review
2.1 Purchase Intention
Pavlou (2003) defines purchase intention in the
context of e-
engage in an online exchange relationship with a Web
includes sharing information, maintaining relation-
ships, and conducting transactions. For the B2C
business, the exchange relationship between the
customer and the retailer includes browsing, gathering
information, and making product and price compa-
rison. Sam and Tahir (2009) define purchase intention
have the motivation that engages them to take action.
When customers have a strong motivation, they will
be pushed to have the product or service. Conversely,
having a weak motivation, they are more likely to
avoid purchasing the product or service. Kim & Hong
(2010) even suggest that understand purchase inten-
tion can help build and maintain a relationship with
customers. Therefore, it is essential for any e-com-
merce to understand what drives purchase intention.
In this research, purchase intention is implied as
to whether the customers have the willingness to
purchase or reserve an airline ticket through
Traveloka or Tiket.com. According to Pavlou (2003),
there are two measurements from TAM that can be
used to measure the purchase intention of an
individual: the intention to use the website and the
prediction that the customers will use the site near in
the future. Indicators to measure purchase intention in
this research are: I intend to use Traveloka or
Tiket.com's website and prediction that I will use
2.2 Ease of Payment
Online payment is defined as a payment made
via a web browser using debit or credit card. The
online payment system is growing to improve
information infrastructure and to achieve a paperless
transaction. Past research has found that one reason
customers shop online is that they are concerned with
efficiency, or time-saving (Anderson, Knight,
Pookulangara, & Josiam, 2014; Kwon & Jain, 2009).
This applies to payment as well, and that's why when
there are too many payment procedures, customers
get frustrated and end up canceling the transaction
(Rianto, Nugroho, & Santosa, 2015). Customers can
Tarigan: Millennials' Purchase Intention Towards Online Travel Agent in Indonesia
25
change their mind and look for another website which
has fewer payment procedures.
Compared to the traditional payment, online
payment is considered - and cost-efficient,
convenient, and flexible for customers and busi-
(He & Mykytyn, 2008). Harris and Goode
(2010) argue that compare to offline, online custo-
mers expect payment system to be easier. Therefore,
ease of payment is essential for e-commerce (Ganesh,
Reynold, Luckett, & Pomirleanu, 2010).
This research uses the number of payment
method as one measurement of ease of payment.
Montague (2010) mention that alternative payment
method other than credit cards is getting popular for
the online shopper. When shop online, the customer
can choose the method of payment he/she is familiar
with. In the case of Indonesian, this factor might be
significant since the penetration of credit card, the
most accepted online payment method, is as low as
4% (KPMG, 2017). Indonesian is also not savvy
when it comes to another method of payment such as
internet banking (5% of adults) and debit cards (8% of
adults), and Indonesia is still considered as a cash-
economy (KPMG, 2017). E-commerce needs to
innovate and introduce other kinds of payment
method such as cash-on-delivery, debit card, online
transfer, escrow account, etc. In fact, the two most
common payment methods for e-commerce in
Indonesia are ATM transfers and COD (Freischlad,
2017). Hence this research will include the number of
payment method accepted by the seller.
the author argues that
ease of payment should include easiness, time, and
the number of procedures. Therefore, on top of
multiple payment methods, this research will use the
work of Chen and Chang (2003) to add the measure-
ment of ease of payment: the payment facilities are
easy to use, its procedures do not take a long time, and
it is straightforward. Indicators to measure ease of
payment in this research are: I can pay the airline
tickets through many methods (credit card, debit card,
etc.), I can choose the best paying methods, paying for
airline tickets is straightforward, payment procedures
not take a long time, and the payment facilities of this
2.3 Trust
It is not easy to define trust, and researchers have
defined trust according to their discipline. In a
business context, Pavlou (2003) describes trust
belief that the other party will behave in a socially
responsible manner, and by doing so, fulfills the
ations without taking advantage
of its vulnerabilities Jevons and Gabbott (2000) go
further by defining trust as the willingness of the
customer to engage in a transaction and be vulnerable
to the actions of the seller, while Audi (2008) believes
impossible Trust is one of the critical factors for
voluntary market transactions characterized by
uncertainty and risk, such as those transactions in the
online environment
Trust is arguably more important in the online
environment as there are more uncertainties in it if
compared to the offline market. In the offline market,
a customer can feel the product, communicate directly
with the seller or salesperson, and during this interac-
tion, can gather information about the trustworthiness
of the store prior to the transaction. These activities
are absent in an online transaction, leaving customers
to rely heavily on the information and cues provided
in the website. On top of that, customers need to
provide their confidential information, such as date of
birth and passport number, and financial information
when buying tickets online. Thus, trust in this context
is even more important, and the enormous potential of
OTA can only be realized if customers have the trust
to buy tickets over the Internet.
The work by McKnight, Choudhury, and Kac-
mar (2002) develop and validate trust measurement
for e-commerce. They argue that trust is a perception
of an e-
McCole, & Ramsey (2007; 2008) add reputation and
brand can signal cues to generate trust. Among many
types of trusting belief exist in the literature, three are
utilized most often: competence, benevolence, and
integrity (Bhattacherjee, 2002; Mayer, Davis, &
Schoorman, 1995). Competence means that the
customer believes that the seller has the ability to
deliver what it promises. Benevolence implies that
customer believes that the seller does care and
that the customer believes that the seller is honest and
keep its promise. Indicators to measure trust in this
research are: Traveloka or Tiket.com has the ability to
do their promises, Traveloka or Tiket.com will do
their promises, Traveloka or Tiket.com can be trusted,
characterize Traveloka or Tiket.com as honest and
Traveloka or Tiket.com is interested in my well-
being, not just its own.
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2.4 Benefits of Online Shopping.
Benefits of online shopping are defined as the
customer's thoughts on gaining something from
online shopping (Forsythe, Liu, Shannon, & Gardner,
2006). In the online airline ticket purchases, benefits
of online shopping are considered as one of the
motivations that make the individuals purchase online
(Bigné, Hernández, Ruiz, & Andreu, 2010). Babin,
Darden, Griffin, and Mitch (1994) develop two
measurements for the benefits of online shopping,
namely utilitarian and hedonic. Utilitarian includes
convenience and variety and range of services.
Convenience can eliminate the unpleasant problems
the customers can purchase their airline tickets
wherever and whenever they want. It will save their
time because they do not need to leave their home. In
variety and range of services, the OTA offers a wide
range of services. On top of selling tickets, it provides
another service such as the check-in online through
the website and compare-and-contrast between
airlines. It also provides a broad selection of airlines
on their Website.
individuals for enjoyable and interesting shopping
(Sarkar, 2011). In the context of e-
commerce, the pleasant experience during the pur-
chase has become important (Bigné et al., 2010). The
enjoyable experience can engage the customers in
having more unplanned purchases and staying on the
website to browse more products and categories. It
can engage purchase
and browse more products and categories. However,
hedonic consumption itself still limited in the case of
online shopping because the customers cannot touch,
smell, or taste a product online (Sarkar, 2011). In this
research, the researchers are not going to use
hedonism as the measurement. In the case of buying
airline tickets, it will be hard to define the hedonism
because the customers only place an order online, but
the actual pleasant feeling occurs after using the flight.
Indicators to measure benefits of online shopping in
this research are: I can shop wherever I want, can
shop whenever I want, can save my time by buying
tickets from Traveloka or Tiket.com, Traveloka or
Tiket.com provides many services (e.g. online check-
in) and a broader selection of airline available.
2.5 Information Quality
To be effective, information must have quality.
Nusair and Kandampully (2008) refer information
quality to the amount, accuracy and the form of
information about the products and services offered
on a website. The purpose of information quality is to
attract the potential customers through the information
provided on the site (Sam & Tahir, 2009). The web-
site design is important to attract the customers to
open the website, but the information quality on the
website is the one that is crucial to the online
purchase. An e-commerce website can have a fancy
design and presentation, but the absence of good
information quality can make customers think twice
before purchasing (Sam & Tahir, 2009).
Managing information quality is a continuous
work because information keeps changing every time.
A website that provides a high quality of information
will increase its customer's shopping experience
satisfaction and help individuals to make better online
decisions (Miller, 1996; Ghasemaghaei & Hassanein,
2015). According to McKinney et al., (2002), four
factors are mostly used to allow managers to under-
stand and meet the customer's information quality
needs: relevance, timeliness, reliability, and scope.
Relevance is about the relevancy of the informa-
tion. When a customer is looking for information
from an e-commerce website, it should give an
appropriate response and answer. Timeliness is about
the accuracy of the information at present. Informa-
tion needs to be continuously updated. Since the
airline ticket prices are fluctuating, the Website needs
to be up-to-date. Reliability is the degree of accuracy.
It means that the information provided needs to be
accurate. Not only that, the information needs to be
believable. For example, the information regarding
refund or rescheduling the airline tickets needs to be
accurate. The scope is about the range of information
and level of detail provided. It means the com-
pleteness of the information provided on the website.
OTA needs to give the complete and detailed
information about the airline ticket prices and flight
schedules. Indicators to measure information quality
in this research are: Traveloka or Tiket.com is
referring related information in customers, informa-
tion o -to-
website is accurate, information on Traveloka or
Traveloka or
Tiket.com is detailed in providing information about
price and Traveloka or Tiket.com is detailed in
providing information about the schedule.
Tarigan: Millennials' Purchase Intention Towards Online Travel Agent in Indonesia
27
2.6 Theoretical Framework
In the previous sections, the researcher has
discussed all the variables, namely purchase intention
as the dependent variable, as well as ease of payment,
trust, benefits of online shopping, and information
quality as the independent variables. In this section,
the researcher will discuss the theoretical framework
used to answer the research questions.
The researcher uses the model seen in
(Kartavianus & Napitupulu, 2014). It is built on the
previous researches where those elements are affect-
ing purchase intention. Based on the model, four
independent variables are expected to affect one
dependent variable.
Developing the theoretical framework, it is
important to examine the relationships between
variables.
Figure 1. Conceptual Framework
The first one is the effect ease of payment to
purchase intention. Research by Napitupulu and
Kartavianus (2014) find that ease of payment has a
intention through e-commerce in Indonesia. Harris
and Goode (2010) also find that customers are
thinking about the security and ease of payment
online than offline services.
H
1
: Ease of payment impacts millennials purchase
intention.
The second one is the effect of trust to purchase
intention. Sam and Tahir (2009) find that trust has a
intention and it happens across cultures including the
Indonesian context (Napitupulu & Kartavianus,
2014). Pavlou (2003) argues that perhaps trust is the
most important variable in doing transactions. Trust
plays the most important role in determining the
y. It is
consistent with the Theory of Planned Behavior
(Ajzen, 1991) intention is influenced by trust. Past
purchase intention (Harris & Goode, 2010; Delafrooz,
Paim, & Khatibi, 2010; Heijden, Verhagen, &
Creemers, 2003). When the customers perceive that
they can trust the website or the company, they would
be more inclined to make a purchase from it
(Monsour, Kooli, & Utama, 2014).
H
2
:
The third one is the effect benefits of online
shopping to purchase intention. A study in Malaysia
conducted by Delafrooz, Paim, and Khatibi (2010)
finds out that there is a strong indirect effect of the
benefits of online shopping towards customers'
purchase intentions. Al-maghrabi, Dennis, and
Halliday (2011) also find that the benefits of online
shopping are the strongest variable, even stronger than
perceived usefulness and subjective norms. When the
customers perceive that buying online will give them
benefits, they would be more intended to buy it.
H
3
: Benefits of online shopping impact
purchase intention.
The fourth one is the effect of information
quality to purchase intention. Sam and Tahir (2009)
find that information quality affect customers'
purchase intention. Liang & Chen (2009) also found
that information quality affects behavioral intention in
the online financial service. When the company is not
providing the customers with good quality of
information, the customers will abandon the website
and move to another website that provides better
information (Sam & Tahir, 2009).
H
4
: -
chase intention.
2.7 Research Method
The research design is a process of collecting,
measuring, and analysis data that will be used to
answer the research questions as plain as possible
(Sekaran & Bougie, 2016). The quality of research
design depends on how carefully the alternatives are
chosen. In choosing the alternatives, there are four
things that need to be considered, which are data
collection method used, the type of sample, how
variables will be measured, and how they will be
analyzed.
This research uses survey through online self-
administered questionnaire since the researcher is a
Ease of Payment
Purchase
Intention
Trust
Benefits of
Online Shopping
Information
Quality
H
1
H
2
H
3
H
4
INTERNATIONAL JOURNAL OF BUSINESS STUDIES, VOL. 1, NO. 1, JUNE 2018: 2334
28
positivist and needs to collect a large number of
quantitative data. Research population is millennials
who have ever bought airline tickets online through
Traveloka or Tiket.com for the last three months. The
research uses a simple random sampling technique
since all population has the chance to be selected as
the participants. Since the total population size for this
research is unknown, therefore the researcher will use
a formula by Green (1991) to determine the sample
size, which is minimum 82. There will be some
screening questions to ensure that they fulfill all the
population criteria needed for this research.
Three data types are used in this research,
namely nominal, ordinal, and interval. In addition,
three data scaling that are going to be used, namely
dichotomous, category, and Likert scale. All of them
are categorized as rating scale, where each object is
scaled independently (Sekaran & Bougie, 2016). The
variables of this research will be measured using
interval data using a five-point Likert scale. They are
classified as interval data because the score for all
items of each variable will be averaged (Sekaran &
Bougie, 2016). Before the questionnaire was distri-
buted, piloting was done to ensure the validity and
reliability.
Before proceeding with analytical procedures,
validity and reliability tests should be done to ensure
the variables have accurate and consistent mea-
surement items (Sekaran & Bougie, 2016). For the
analytical procedures, the researcher will first conduct
classical assumption tests, then multiple linear
regression analysis using SPSS to find the significant
factors.
2.8 Findings and Discussions
This research has collected data from 150
respondents, but only 94 passed all the screening
questions. Respondents are in the age group of 14-19
years old (5%), 77 respondents are in the age group of
20-25 years old (82%), 11 respondents are in the age
group of 26-31 years old (12%), and one respondent
is in the age group of 32-36 years old (1%). Based on
the highest level of education, 34 respondents are high
school graduate (36%), 54 respondents have com-
6 respon-
The first step is to test the validity and reliability.
For validity, the r-value needs to be above 0.2028 to
be said valid. All indicators for all variables have r-
value >0.3. Therefore all variables are valid. For
be
follow: 0.893 for ease or payment, 0.910 for trust,
0.837 for benefits of online shopping, 0.872 for
information quality, and 0.949 for purchase intention.
Therefore, all variables are reliable.
After passing through the validity and reliability
tests and classical assumption tests, the data is
processed using multiple linear regression analysis to
know the effect the independent variables and the
dependent variable. Adjusted R-square is used to
measure the proportion of the variation in the
dependent variable explained by the independent
variables. The adjusted R-square result is 0.483,
meaning that 48.3% of the variance in purchase
intention of buying airline tickets online is explained
by the ease of payment, trust, benefits of online
shopping, and information quality. The rest 0.517 is
explained by other factors not covered in this
research.
To answer the first four hypotheses, the t-test is
used to know if the independent variables individually
impact the dependent variable (Table 1).
Table 1. Coefficient Matrix of Independent Variable
Model
Unstandardized
Coefficients
Standar-
dized
Coeffici-
ents
t
Sig.
B
Std. Error
Beta
1
(Constant)
.102
.466
.220
.827
EOPAVG
.289
.107
.256
2.710
.008
TAVG
.307
.105
.290
2.929
.004
BOSAVG
.478
.140
.379
3.408
.001
IQAVG
-.086
.137
-.073
-.630
.530
a. Dependent Variable: PIAVG
For the first hypothesis, ease of payment impacts
millennials purchase intention, the significance value
of the t-test of ease of payment is 0.008, which is
below 0.05. Therefore, H
0
is rejected. The unstandar-
dized coefficient of ease of payment tells us that
purchase intention is increased by 0.289 points for
each point increase in ease of payment. Ease of
payment significantly and positively impact millen-
Napitupulu and Kartavianus (2014) where ease of
payment has a significant impact on customer
purchase intention in e-commerce in Indonesia. It is
also supporting the finding of Harris and Goode
(2010), where the customers are thinking about the
ease of payment when doing online purchasing.
When payment is perceived as easy, customers are
Tarigan: Millennials' Purchase Intention Towards Online Travel Agent in Indonesia
29
more inclined to buy. Moreover, having numbers of
payment method are also an important factor to create
the easiness of paying, especially in Indonesia where
the number of people who use debit or credit cards is
low (KPMG, 2017). When the company provides
many methods of payment, the millennials can
choose the most convenient method that works for
them, especially for those people who do not have
credit or debit cards.
For the second hypothesis, trust impacts
, the significance value
of the t-test of trust is 0.004, which is below 0.05.
Therefore, H0 is rejected. The unstandardized coe-
fficient of trust tells us that purchase intention is
increased by 0.307 points for each point increase in
trust. Trust has a significant and positive direct impact
in accordance with the results by Sam and Tahir
(2009) where trust has a positive relationship towards
customers' purchase intention when buying an air
ticket. Harnas (2017) also found that the growth of e-
commerce is in
trust towards the platform. This result also agrees with
Smith (2015) that when the company has a good
reputation in public, millennials will most likely to
have an interaction on the website because they know
that they can trust the company. Millennials in this
research also believe that the company will be able to
do their promises to the customers. Being the most
widely used OTA might explain this finding since
these two companies might have built trust with their
customers (Agencies, 2018).
For the third hypothesis, benefits of online
, the
significance is 0.001, which is below 0.05. The H
0
is
rejected, and the H
4
is accepted. Benefits of online
shopping impacts purchase intention. The
unstandardized coefficient of benefits of online
shopping tells us that purchase intention is increased
by 0.478 points for each point increased in benefits of
online shopping. The result is in accordance with
Delafrooz et al., (2010) where benefits of online
shopping have a direct and indirect effect on online
purchase intention.
According to Babu (2017), millennials also look
for faster and easier ways of doing shopping (in
Rahman, 2017). That is why they mostly do online
shopping. Shopping online also means that millen-
nials can shop whenever and wherever they want.
Besides, having a variety and range of services also
important in increasing the purchase intention because
it can help the millennials in terms of the con-
venience. When they can do everything through the
website, starting from comparing between airlines,
buying the tickets, and online check-ins, it can make
the millennials stay longer on the website because
they do not need to open another website or page to
do the other things. Having broader airlines and
broader destinations available on the website is also
considered as important because the millennials can
choose the best one according to their preferences
(Bigne et at., 2010).
For information quality, the significance is
0.530, which is above 0.05. The H
0
fails to be
rejected. Meaning that information quality does not
impact purchase intention. Information
quality does not have an impact
purchase intention. The result is not in line with the
research result of Sam and Tahir (2009) where
information quality is found to affect customers
purchase intention. In particular industries, informa-
tion quality might have a strong impact towards the
industries. For example, Hasanov and Khalid (2015)
also find that information quality has no significant
correlation to online purchase intention of organic
foods in Malaysia although the previous studies found
that it has the strongest impact to the customers'
purchase intention. In OTA, the information provided
is mostly the same between one another (e.g., flight
tickets schedule & price, rescheduling tickets, and
refunding the tickets). This could explain why infor-
mation quality does not significantly impact the
3. Conclusions
This part will explain the summary and conclu-
sion of the research. The goal of the research is to
know whether ease of online payment, trust, benefits
of online shopping, and information quality have a
-
tions.
To reach those objectives, four hypotheses were
developed. To test the hypotheses, the researcher
created a questionnaire and gathered 94 valid respon-
dents. The data was tested and it passed the validity,
reliability, and classical assumption tests. Next, a
regression analysis was done to find out the adjusted
R-square and the result of the t-test. The adjusted R-
square indicates that 48.3% of the variability in
purchase intention is explained by the ease of
INTERNATIONAL JOURNAL OF BUSINESS STUDIES, VOL. 1, NO. 1, JUNE 2018: 2334
30
payment, trust, benefits of online shopping, and
information quality. This means there are other factors
that affect e intention towards
OTA in Indonesia. The t-test indicates that only ease
of payment, trust, and benefits of online shopping
intention individually, leaving out information quality.
These research results indicate that not all factors
found in the previous study by Napitupulu &
Kartavianus (2014) have a direct impact towards
an airline ticket online. Specific to OTA case and
when the buyer is millennial, only ease of payment,
trust, and benefits of online shopping have a direct
research results give OTA an insight into the factors
which is 48.3% based on the model. It also tells OTA
that it should focus more on ease of payment, trust,
and benefits of online shopping to increase millen-
payment, trust, and benefits of online shopping.
Lastly, academics who are interested in purchase
intention in the Indonesian context can also use the
research result for their reference for further research.
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