Authors

  • Yeterina Widi Nugrahanti
    Faculty of Economics and Business, Universitas Kristen Satya Wacana. Indonesia
  • Maria Rio Rita
    Faculty of Economics and Business, Universitas Kristen Satya Wacana. Indonesia
  • Mitha Dwi Restuti
    Faculty of Economics and Business, Universitas Kristen Satya Wacana. Indonesia
  • Andrew T. Thren
    Faculty of Humanities, Universitas Bina Nusantara. Indonesia

DOI:

https://doi.org/10.37547/ijmef/Volume04Issue12-03

Keywords:

Theory of planned behavior paylater hedonic conformity family financial education financial risk tolerance self-control

Abstract

This study aims to empirically test the interrelationship of Paylater use which is suspected to be influenced by hedonic conformity and family financial education, as moderated by financial risk tolerance and self-control among students. This study applies the Theory of Planned Behavior (TPB) by modifying the determinant variables as determinants of Paylater usage behavior. By applying the purposive sampling method, 117 undergraduate and postgraduate students were selected as respondents. The findings revealed that hedonic conformity has a positive effect on the use of Paylater, while family financial education has a negative effect on the use of Paylater. Furthermore, financial risk tolerance has been shown to moderate the hedonic conformity pathway on the use of Paylater, but self-control has not been demonstrated to moderate the effect of family financial education on the usage of Paylater.


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ABSTRACT

This study aims to empirically test the interrelationship of Paylater use which is suspected to be influenced by

hedonic conformity and family financial education, as moderated by financial risk tolerance and self-control among

students. This study applies the Theory of Planned Behavior (TPB) by modifying the determinant variables as

determinants of Paylater usage behavior. By applying the purposive sampling method, 117 undergraduate and

postgraduate students were selected as respondents. The findings revealed that hedonic conformity has a positive

effect on the use of Paylater, while family financial education has a negative effect on the use of Paylater.

Furthermore, financial risk tolerance has been shown to moderate the hedonic conformity pathway on the use of

Paylater, but self-control has not been demonstrated to moderate the effect of family financial education on the

usage of Paylater.

Research Article

PAYLATER USAGE BEHAVIOR AMONG UNIVERSITY STUDENTS: A
MODIFICATION OF THE THEORY OF PLANNED BEHAVIOR

Submission Date:

November 06, 2024,

Accepted Date:

November 20, 2024,

Published Date:

December 07, 2024

Crossref doi:

https://doi.org/10.37547/ijmef/Volume04Issue12-03


Yeterina Widi Nugrahanti

Faculty of Economics and Business, Universitas Kristen Satya Wacana. Indonesia

Maria Rio Rita

Faculty of Economics and Business, Universitas Kristen Satya Wacana. Indonesia

Mitha Dwi Restuti

Faculty of Economics and Business, Universitas Kristen Satya Wacana. Indonesia

Andrew T. Thren

Faculty of Humanities, Universitas Bina Nusantara. Indonesia

Journal

Website:

https://theusajournals.c
om/index.php/ijmef

Copyright:

Original

content from this work
may be used under the
terms of the creative
commons

attributes

4.0 licence.


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KEYWORDS

Theory of planned behavior, paylater, hedonic conformity, family financial education, financial risk tolerance, self-

control.

INTRODUCTION

A lifestyle that prioritizes practicality and efficiency

encourages an increased use of e-commerce in society

(Gao et al., 2022), including in Indonesia. In 2020, e-

commerce users in Indonesia reached 138.09 million,

then increased by 15% to 158.65 in 2021, followed by an

increase of 13% to 178.94 million users in 2022 (Statista

Research Departement, 2024). E-commerce service

features are equipped with various facilities to

simplify consumer transactions, one of which is the

Paylater facility. The results of a Katadata Insight

Center survey in 2023 showed that there was a

significant increase in the use of Paylater services in e-

commerce, namely from 28.2% in 2022 to 45.9% in 2023

(Lavinda, 2023).

However, ironically, Paylater is not only accessed by

people who already have a steady income, but it is

also used by university students, most of whom do

not yet have a steady income (Maulida et al., 2023;

Yulianto & Wijaya, 2023). University students use the

service because they believe it is easier to make

purchases without having complicated requirements

when experiencing liquidity constraints (Yasmin &

Asmandani, 2023). Therefore, it is not surprising that

problems eventually arise with installment payments

which threaten their financial well-being (Dhahana &

Ulpah, 2023; Prijadi et al., 2022), and even risk the

users’ reputations when they want to apply for jobs or

scholarships in the future (Pratika et al., 2021).

As reported from data from the Financial Services

Authority (OJK) in 2023, the number of Paylater non-

performing loans has reached 7.61%, where the

majority of non-performing loan cases occurred in

users under the age of 19 who did not have an

income, with an average non-performing loan ratio of

IDR 2.8 million per person (www.bbcnews.com, 2023).

This phenomenon actually depicts good financial

inclusion, but if it is not accompanied by adequate

financial literacy and financial capabilities, it risks

eroding the financial and psychological well-being of

Paylater service users in the future (Lusardi &

Streeter, 2023). Therefore, it is interesting to examine

what factors contribute to the use of Paylater among

students, so that this problem can be minimized.

There are several theories that explain how a behavior

can be formed based on the factors that influence it.

One theory that is often used in studies that predict

human behavior is the Theory of Planned Behavior

(TPB). TPB has been used in previous studies to


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predict financial intentions and behavior, for example

in retirement planning (Kumaraguru & Geetha, 2021),

investment decisions (Warsame & Ireri, 2016),

financing decisions (Ibrahim et al., 2017), and product

purchases (Tarigan et al., 2021). TPB is a development

of the Theory of Reasoned Action (TRA) which

explains that a person’s behavior is determined by

one’s attitudes and subjective norms (Ajzen &

Fishbein, 1980). TRA was developed by adding a

determinant of behavior, which is perceived

behavioral control. TPB clarifies that humans tend to

behave in specific ways according to their intentions

and perceptions of control which come from three

components, namely their attitudes, subjective

norms, and perceptions of behavioral control (Ajzen,

1991).

Previous studies examining the determinants of an

individual’s intentions and behavior have used the

variables in the original version of the TPB model

(Ajzen, 1991), including attitude, subjective norms, and

perceived behavioral control. Meanwhile, the

development of the theory and the scope of research

allows for the modification of other measurements

and the addition of other variables in determining a

person’s intentions and behavior (Ali et al., 2017;

Cooke et al., 2007; Oteng-Peprah et al., 2020). This

paper aims to accommodate the development of TPB

by using other proxy variables according to the

context of the object being studied. However, the

intention variable was not observed in this study,

because several findings failed to prove the role of

intention on certain behaviors (Norberg et al., 2007;

Sutton, 1998). A person can act without having to

initiate a specific intention (Fishbein et al., 2003) but is

influenced by other factors such as behavioral

routines and heuristic effects in the decision-making

process (Norberg et al., 2007; Ouellette & Wood,

1998).

According to TPB, an individual’s specific behavior is

influenced by internal and external factors. One of the

internal factors is attitude, which is defined as an

individual’s positive or negative feelings towards the

behavior one performs (McIvor & Paton, 2007). In this

study, an individual’s evaluation of Paylater usage

behavior can be proxied by the financial risk tolerance

variable. When someone has a wider risk acceptance

range, they tend to choose to use debt and are willing

to bear the credit interest from this service (Yulianto

& Wijaya, 2023), including the risk of debt default (Li,

2023). The next internal factor is perceived behavioral

control, which indicates the degree to which a person

feels that whether or not a behavior is performed is

within his or her control (Krueger & Carsrud, 1993). A

person’s control in taking an action is often influenced

by one’s past/ childhood experiences in the family.

Family financial education gained during childhood

can be a strong consideration for someone in deciding

whether or not to use Paylater. In accordance with

the theory of social learning where someone learns by

imitating events in the family environment, one’s


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learning starts from the family (Pahlevi & Nasrhullah,

2020). Another proxy for perceived behavioral control

is self-control. When someone has a good foundation

of family financial education and is supported by high

self-control, the individual will tend to reduce debt

behavior (Stromback et al., 2017). In this case, self-

control strengthens the negative effects of family

financial education on the use of Paylater.

Apart from the two internal factors above, the

motivation for a person’s behavior is caused by

external factors, namely subjective norms, which

express an individual’s beliefs about how they will be

viewed by their reference group if they carry out a

certain behavior (Al-Swidi et al., 2014). In this study,

one of the external influences that is suspected of

contributing to someone using Paylater is hedonic

conformity. Hedonic conformity is the tendency of an

individual’s attitude and behavior to adjust to their

reference group to make pleasure or enjoyment the

goal of life and to fulfill prestige (Oktafikasari &

Mahmud, 2017). Technological advances that are

realized in digital-based debt services increasingly

facilitate this hedonistic behavior, especially when

reinforced by the financial risk tolerance that it has.

The interactions between external factors in the form

of hedonic conformity and internal factors, namely

financial risk tolerance, will strengthen the influence

of hedonic conformity on the use of Paylater.

Based on the study conducted by the researcher,

there is no known proxies for attitude, subjective

norms, and perceived behavioral control as proposed

in this study. First, the use of the financial risk

tolerance variable as a representation of an attitude

that acts as a moderator in the hedonic conformity

path towards the use of Paylater has not been found;

second, the placement of self-control as a proxy for

perceived behavioral control that can moderate the

influence of family financial education on the use of

Paylater has also not been done in previous studies.

The findings of this study are expected to expand the

application of TPB in the field of personal financial

management, especially in the behavior of Paylater

usage among students.

Based on the background described above, there are

several research questions proposed in this study: a)

Does hedonic conformity have a positive effect on the

use of Paylater?; b) Does family financial education

have a positive effect on the use of Paylater?; c) Does

financial risk tolerance strengthen the effect of

hedonic conformity on the use of Paylater?; and d)

Does self-control strengthen the negative effect of

family financial education on the use of Paylater?.

LITERATURE

REVIEW

AND

HYPOTHESIS

DEVELOPMENT

Theory of Planned Behavior (TPB)

The Theory of Planned Behavior was developed by

Ajzen (Ajzen, 1991). It describes a person’s intention

to perform a certain behavior. Intention is an

indication of how hard a person is willing to try

various efforts to perform the behavior (Ajzen &


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Driver, 1992). Intention to behave is determined by (a)

attitude, which is the belief that the behavior will

produce a desired or undesired outcome, (b)

subjective norm, which is the belief that the behavior

is desired by others and a person is motivated to do it,

and (c) perceived control behavior, which is an

individual’s belief about the ease of performing the

behavior becomes important when the behavior is not

entirely of one’s own volition (Ajzen, 2005). In this

study, the researcher modified TPB to test the

determinants of Paylater usage behavior by applying

proxy variables that are different from the original

theory and other theories, namely financial risk

tolerance, hedonic conformity, and family financial

education.

Paylater Usage

Paylater is a means of financing to obtain goods and

services that people can buy now and pay later.

Paylater is an alternative payment method that

adopts an online installment system without requiring

a credit card with a repayment due date of less than

or even more than a year (Salamah, 2022). Currently,

Paylater is widely adopted by e-commerce in

Indonesia, starting from entertainment companies,

ticket and hotel bookings, marketplaces, to online

transportation service providers (Prastiwi & Fitria,

2021).

Hedonic Conformity

Conformity is a type of social influence in which

individuals change their attitudes and behavior to

conform to existing social/group norms, due to

pressure from the group (Tannur & Roswiyani, 2021).

Conformity occurs when a number of people in a

group say or do something, and there is a tendency

for members to say and do the same thing. A person

conforms to his/her reference group because the

individual wants to get recognition from the group

(Capuano & Chekroun, 2024). Hedonism is a view that

prioritizes the pleasures of life in order to adapt one’s

attitudes and behavior to those of one’s group

(Kurniaputri & Fatwa (2022); Oktafikasari & Mahmud

(2017).

Family Financial Education

The first education for children is the family, including

knowledge about finances. By providing financial

management education from the family, children will

learn several positive lessons related to spending,

saving, and investing money correctly (Lusardi &

Streeter, 2023). Parents are the main socialization

agents of financial knowledge and provide direct role

models in financial management. This will form a

pattern of financial management for children that will

be applied when they already have an income (Bucciol

et al., 2022).

Self-control

Self-control is defined as a person’s ability to stop bad

habits, resist temptation, and overcome first impulses

(Stromback et al., 2017). Self-control is the ability to

organize, guide, regulate, and direct forms of

behavior that can lead to positive consequences,


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including in dealing with conditions in the surrounding

environment (Lopez et al., 2024). Self-control is

inherent in an individual and can be used when the

individual is faced with purchasing and debt decisions.

Financial Risk Tolerance

Financial risk tolerance is the maximum amount of

uncertainty a person is willing to accept when making

financial decisions (Grable & Joo, 2004). It refers to

the extent to which a person is willing to accept

investment risk (Ainia & Lutfi, 2019). Financial risk

tolerance will be applied in the assessment of

investment, debt, and other financial decisions. When

associated with investor preferences in taking and

accepting risks, investors can be divided into three

types, namely: (a) a risk seeker/ risk lover is a type of

investor who dares to take risks; (b) a risk neutral

person or investor is one who is neutral in taking risks;

and (c) a risk averter/ risk avoider is one who does not

dare to take risks and even tends to avoid them (Cioca

& Popescu, 2019).

Hedonic Conformity and Paylater Usage

Hedonic conformity can occur in university students

who generally have a community in their social life,

and they are exposed to many examples of luxurious

lifestyles through social media. This is reinforced by

the influence of a community that also pursues the

pleasures of life and has a tendency to make

continuous purchases, have a luxurious lifestyle, and

buy branded products (Oktafikasari & Mahmud, 2017).

University students who enter the group will try to be

accepted into the group by imitating the attitudes and

behavior of the group members(Moorthy et al., 2019).

In other words, students who are in the hedonic

group will also behave by prioritizing the pleasures of

life in order to be accepted in their group. Activities

seeking pleasure are generally done with friends so

that someone tries to be the center of attention and

appear more prominent with what they have (Giuntoli

et al., 2021). Hedonic conformity can make individuals

become consumerist and impulsive people who end

up in debt (Besharat et al., 2015). This impulsive

buying behavior and hedonic conformity are usually

experienced by students who do not yet have stable

financial capabilities but force themselves to fulfill

their lifestyles (Maharani et al., 2024). This can make

someone do various actions to meet their lifestyle

needs, such as borrowing money or making purchases

of goods using debt (Paylater).

H1: Hedonic conformity has a positive influence on the

use of Paylater among university students.

Family Financial Education and Paylater Usage

The family financial education will be internalized in

the child’s attitude when the child already has an

income and then manages it (Bucciol et al., 2022),

including one’s financial condition in old age. Parents’

simple attitude in financial management, the habit of

financial planning and saving, will shape children’s

habits in the future. With good financial planning and

management, children will tend to plan when buying

goods and avoid debt because they tend to prioritize


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basic needs over satisfying consumptive desires. In

accordance with Ahzab et al. (2023), Rohim et al.

(2022) discovered that someone who receives

financial education from one’s family has better

financial management and lower debt levels.

H2: Family financial education has a negative effect on

the use of Paylater among university students.

The Effect of Hedonic Conformity on Paylater Usage

with the Moderation of Financial Risk Tolerance

The greater a person’s risk tolerance is, the more the

person is willing to accept greater risks. When

students have a community that prioritizes the

pleasures of life or a hedonistic lifestyle, they will

follow the group norms or engage in a hedonistic

lifestyle in order to gain recognition from their group

(Moorthy et al., 2019).Among university students who

do not yet have fixed incomes, hedonic conformity

will actually increase the tendency to use Paylater

when accompanied by a high tolerance for financial

risk (Li, 2023; Minh 2020).

H3: Financial risk tolerance strengthens the positive

effect of hedonic conformity on Paylater usage

among university students.

The Effect of Family Financial Education on Paylater

Usage with the Moderation of Self-Control

In daily interactions in the family, parents provide real

examples and act as role models in financial

management such as having a simple attitude,

planning, investing, and saving (Bucciol et al., 2022),

which will form a pattern in a person to avoid debt,

especially for consumptive items. Internal factors such

as self-control also affect individual behavior related

to debt. An individual with strong self-control will be

able to resist the temptation of impulsive behavior, so

that the person will tend to avoid debt especially

consumptive debt (Atchziger et al., 2015; Lopez et al.,

2024). Thus, the negative influence of family financial

education on the use of Paylater will be stronger with

good self-control.

H4: Self-control strengthens the negative effect of

family financial education on Paylater usage among

university students.

Figure 1 below is a visualization of the conceptual framework of this research.


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FIGURE 1. Conceptual Framework

Source: Designed by the Researcher

METHOD

Population and Sample

This study used an explanatory quantitative approach

to test the hypotheses proposed by the researcher. A

total of 117 undergraduate and postgraduate students

of the Faculty of Economics and Business (FEB) of

Universitas Kristen Satya Wacana (UKSW) in Salatiga

were taken as the population. Although Salatiga is a

small city in the Semarang area, Central Java Province,

but the behavior of its people also shows the

widespread use of Paylater as found in big cities.

According to (Hair et al., 2014), the minimum number

of samples required for a model consisting of ≤ 5

variables is 100. The student data that was retrieved

for the sample was obtained from the student

database in each study program of FEB UKSW. There

were 3 undergraduate study programs and 4

postgraduate

study

programs.

The

online

questionnaires were distributed via students’ emails,

and only the respondents who met the criteria set by

the researcher were used as samples for this study. By

using the purposive sampling method, students who

had “ever used” and/or “currently use” Paylater were

selected as samples. This sampling method was

chosen because it provided the best information from

the sample in accordance with the research

objectives, even when some important aspects could

not be ignored (Rai & Thapa, 2015).

Primary data was utilized in this study and obtained

from online surveys to undergraduate – doctorate

degree level students of FEB UKSW by having the

surveys distributed via email to all the students. The

data obtained contained the respondents’ answers to

each question that represented all the latent

variables, as well as the respondents’ personal data.

Research Variables

This study consisted of four latent variables, namely

three exogenous variables (hedonic conformity,


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family financial education, and self-control), one

moderating variable (financial risk tolerance), and one

endogenous

variable

(Paylater

usage).

The

operational definitions of the research variables and

their indicators are explained in Table 1 below.

TABLE 1. Operational Definitions of the Research Variables

Variable

Operational Definition

Indicator

Hedonic
Conformity
(HC)

The tendency to adjust a
person’s

attitudes

and

behavior to those of his/her
reference group with the aim
of achieving pleasure or
enjoyment in life.

(Adapted from Oktafikasari & Mahmud, 2017)

Follow trends

Influence of social information (positioning
information and groups as primary sources of
thought)

Social pressure to be accepted in a group

Group recognition

Family
Financial
Education
(FFE)

Having an understanding that
parents instill in children
about the value of money,
attitudes, and behavior in
managing

one’s

personal

finances.

(Adapted from Syuliswati, 2020)

Teaching to be accustomed to saving

The child is trusted to manage one’s own
finances

The parents encourage their children to discuss
family financial problems

Assist with household chores to earn additional
pocket money

Self-control
(SC)

A person’s ability to stop bad
habits and resist impulses.

(Adapted from Strömbäck et al., 2017).

The habit of saving

Consider risks and advantages before taking an
action

Have a long-term focus in making decisions

Can resist temptations of discount shopping

Financial

An individual’s willingness to

(Adapted from Cordell, 2001)


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Variable

Operational Definition

Indicator

Risk
Tolerance
(FRT)

accept uncertainty and costs in
financial decision making.

I prefer to shop with credit than cash

I am willing to bear additional costs when
shopping online (for instance: shipping costs,
transfer fees, and interest fees)

I do not mind paying more for goods in online
stores than for those in offline stores

I prefer to purchase goods through credit to
secure my cash liquidity now

Paylater
Usage
(PU)

The utilization of a digital-
based

consumer

financing

service.

(Adapted Rahima & Cahyadi, 2022)

Length of usage

Intensity

Credit time period

Late payments

Based on the indicators of each variable above, the

researcher compiled a research instrument using a

closed question model by providing answer options

for the respondents. The answer options were given

in a Likert scale of 6 (six) scores, with the

consideration of avoiding the chance of a social bias

by having the instrument compiled on an even scale

(Garland, 1991). There may be a tendency of

respondents to avoid giving scores that are too low or

too high, so that they will give a middle score,

because the middle value is considered a safe value

for respondents.

ANALYSIS TECHNIQUE

This study used the PLS-SEM method to process the

primary data, because it is considered more suitable

for research aimed at predicting, exploring, or

developing theories; it used a measurement

philosophy in the form of total variance (composite-

based) with reflective and formative model

measurement specifications; it could be used for small

samples (<100) or large samples (>100); and it was not

sensitive to data distribution requirements (Hair et al.,

2017).

The regression equation to be tested in this study was

formulated as follows:

Paylater Usage = α + β1 Hedonic Conformity + β2

Family Financial Education + β3 Financial Risk

Tolerance + β4 Self-Control + β5 Hedonic

Conformity*Financial Risk Tolerance + β6 Family

Financial Education*Self-Control + ε …. (1)

ANALYSIS AND DISCUSSION

Respondents’ Profile

This study obtained 117 students who used Paylater as

respondents. The demographic characteristics of the

respondents are described in Table 2 below.


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TABLE 2. Respondents’ Profile

Demographic Characteristics

Total (%)

Gender:

Male
Female
Total

56 (48%)
61 (52%)
117 (100%)

Age:

≤ 20 years old
21 – 25 years old
26 – 44 years old
Total


32 (27%)
74 (63%)
11 (10%)
117 (100%)

Education Level:

Undergraduate
Postgraduate
Total


96 (82%)
21 (18%)
117 (100%)

Status:

Unemployed
Employed (including part-time)
Total

77 (66%)
40 (34%)
117 (100%)

Ethnic Group:

Outside of Java
Javanese
Chinese
Total


27 (23%)
72 (62%)
18 (15%)
117 (100%)

Paylater Application Used:

GoPay Paylater

Shopee Paylater

11 (10%)
52 (44%)


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Other
Total

54 (46%)
117 (100%)

Source: Processed primary data (2024)

In terms of gender, most of the respondents were

female (52%). When viewed from the age range, 63%

of respondents were between 21-25 years old. This

age range is in line with the level of education of the

respondents where most were undergraduate

students (82%). Most of the respondents were also

unemployed (66%). This is very possible because most

of the respondents in this study were undergraduate

students who were still focused on pursuing their

education. Furthermore, when viewed from ethnicity,

62% of the respondents were Javanese, 23% outside

Java, and 15% Chinese. The types of Paylater used by

most of the respondents were Shopee Paylater (44%)

and GoPay Paylater (10%). Besides that, the

respondents also used Akulaku Paylater, Kredivo

Paylater, Traveloka Paylater, Home Credit, Tokopedia,

Visa, and Mastercard. The student respondents use

Paylater considering the completeness of the

features, the interest rates charged, the ease of use,

the number of discounts offers, the variety of credit

terms, and the ease of obtaining credit.

Validity and Reliability Testing 1

The results of the validity and reliability tests on the

research instrument (Table 3) show that there are two

indicator items, namely FFE2 and FRT2, which have

loading factors below 0.7, so these two indicators

were removed from the next testing process because

they were not valid (Hair et al., 2017). In addition, the

results of the reliability test indicate that all variables

have an AVE score > 0.5, so that they can be declared

reliable. The internal consistency reliability is also met

with CR > 0.7, and there is no multicollinearity as

indicated by the full collinearity of VIF <10 (Hair et al.,

2017).

TABLE 3. First Validity and Reliability Testing

Construct

Item

Loading
Factor

Average
Variance
Extracted
(AVE)

Composite
Reliability
Coefficient
(CR)

Cronbach’s
Alpha

Full
Collinearity
of VIF

Hedonic

Conformity

(HC)

HC1
HC2
HC3
HC4

0.861
0.897
0.902
0.875

0.781

0.934

0.906

2.518
2.967
3.243
2.815

Family

Financial

Education (FFE)

FFE1

FFE2

FFE3
FFE4

0.920

0.684

*

0.776
0.713

0.606

0.859

0.825

1.552
1.518
2.444
2.390

Financial

Risk

Tolerance (FRT)

FRT1

FRT2

FRT3

0.921

0.315

*

0.833

0.602

0.845

0.760

3.076
1.303
2.266


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Construct

Item

Loading
Factor

Average
Variance
Extracted
(AVE)

Composite
Reliability
Coefficient
(CR)

Cronbach’s
Alpha

Full
Collinearity
of VIF

FRT4 0.877

2.463

Self-control (SC)

SC1
SC2
SC3
SC4

0.783
0.877
0.844
0.724

0.655

0.883

0.823

1.683
2.478
2.256
1.519

Paylater Usage (PU)

PU1
PU2
PU3
PU4

0.847
0.896
0.830
0.873

0.743

0.920

0.885

2.353
2.607
2.051
2.503

Explanation: * indicator deleted because the outer loading factor < 0.70

Source: Processed primary data (2024)

Descriptive Statistics

The descriptive statistics of each variable indicator are explained in Table 4. The average respondent has a hedonic

conformity of 3.03, family financial education of 4.22, financial risk tolerance of 3.41, and self-control of 4.23. The

average of the four variables is in the moderate category. In addition, the average use of Paylater is 2.56 and is in the

low category.

TABLE 4. Descriptive Statistics of Each Construct

Construct & Indicator

Average per
Indicator

Construct
Average

Category

Hedonic Conformity:

HC1
HC2
HC3
HC4


3.19
3.43
2.78
2.72


3.03


Moderate

Family Financial
Education:

FFE1
FFE3
FFE4


4.72
3.95


4.22


Moderate

Financial Risk Tolerance:

FRT1
FRT3
FRT4


3.50
3.06
3.67


3.41


Moderate

Self-control:

SC1
SC2
SC3
SC4


4.10
4.49
4.45
3.88


4.23


Moderate


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Paylater Usage:

PU1
PU2
PU3
PU4


2.50
2.81
2.68
2.23



2.56



Low

Explanation: Average scores 1.00-2.67: low perception; >2.67-4.34: moderate perception; >4.34-6.00: high

perception

Source: Processed primary data (2024)

Validity and Reliability Testing 2

Before conducting the hypothesis testing, the validity, reliability, and goodness-of-fit of model 2 were tested first.

Table 5 illustrates the results of the discriminant validity testing using the Fornell-Larcker value (square root of AVE)

for each construct, where the value must be greater than the correlation value between other constructs. Based on

Table 5, it can be seen that all indicators can be said to have good discriminant validity.

TABLE 5. Fornell-Larcker Criterion

Construct

Hedonic
Conformity

Family
Financial
Education

Financial
Risk
Tolerance

Self-
control

Paylater
Usage

Hedonic Conformity

0.884

Family Financial Education

-0.318

0.811

Financial Risk Tolerance

0.662

-0.148

0.880

Self-control

-0.374

0.526

0.809

0.809

Paylater Usage

0.619

-0.317

0.576

-0.382

0.862

Source: Processed primary data (2024)

Next, Table 6 depicts the results of the second convergent validity and reliability test after removing the PKK2 and

TRK2 indicators. The results of the convergent validity test illustrate that the outer loading value for all indicators is >

0.7 and is in the range of 0.701 to 0.955. Likewise, if the AVE value for all constructs is > 0.5, then it can be concluded

that all indicators have met the convergent validity criteria. Furthermore, for the results of the reliability test, it is

also known that all constructs have met the reliability requirements as indicated by the Cronbach’s alpha value >

0.70, composite reliability (CR) > 0.80, and VIF < 10.

TABLE 6. Second Validity and Reliability Testing

Construct

Item

Loading
Factor

Average
Variance
Extracted
(AVE)

Composite
Reliability
Coefficient
(CR)

Cronbach’
s Alpha

Full
Collinearity
of VIF


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Hedonic Conformity

HC1
HC2
HC3
HC4

0.861
0.897
0.902
0.875

0.781

0.934

0.906

2.518
2.967
3.243
2.815

Family

Financial

Education

FFE1
FFE3
FFE4

0.955
0.773
0.701

0.656

0.850

0.813

1.493
2.431
2.166

Financial Risk Tolerance TRK1

TRK3
TRK4

0.934
0.815
0.866

0.774

0.845

0.854

2.923
1.774
2.459

Self-control

SC1
SC2
SC3
SC4

0.783
0.877
0.844
0.724

0.655

0.911

0.823

1.683
2.478
2.256
1.519

Paylater Usage

PU1
PU2
PU3
PU4

0.847
0.896
0.831
0.873

0.743

0.920

0.885

2.353
2.607
2.051
2.503

Source: Processed primary data (2024)

Furthermore, Table 7 presents the results of the goodness-of-fit test. The Standardized Root Mean Square Residual

(SRMR) has a value of 0.087. Meanwhile, the R2 value of 0.510 is greater than 0.1 and the Q2 value of 0.339 is also

greater than 0. Thus, the model can be stated as fit.

TABLE 7. Goodness-of-Fit Testing

Criteria

Measurement

Limitation

Reference

Standardized

Root

Mean Square Residual
(SRMR)

0.076

SRMR < 0.10

(Kock, 2017)

R-Square (R

2

)

of Paylater Usage

0.510

R

2

> 0.10

(Falk & Miller, 1992)

Q-Square (Q

2

)

of Paylater Usage

0.339

Q

2

> 0

(Hair et al., 2011)

Source: Processed primary data (2024)

Hypothesis Testing

The results of the hypothesis testing are explained in Table 8 and Figure 2.

TABLE 8. Hypothesis Testing Results

Regression Path Original Sample

P-value

Conclusion

HC

PU

0.260

0.009**

H1 is supported

FFE

PU

-0.163

0.063*

H2 is supported

HC*FRT

PU

0.226

0.005***

H3 is supported


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FFE*SC

PU

-0.030

0.689

H4 is rejected

Note: *, **, *** are significant at alpha levels of 10%, 5%, and 1%.

Source: Processed primary data (2024)

The coefficient of influence of hedonic conformity on the use of Paylater is 0.260 and the p-value <0.01, so that H1 is

accepted. Thus, it can be stated that hedonic conformity has a positive effect on the use of Paylater. The coefficient

of influence of family financial education on the use of Paylater is -0.163 and the p-value <0.05, so that it is proven

that family financial education has a negative effect on the use of Paylater (H2 is accepted). The testing of financial

risk tolerance as a moderator between hedonic conformity and the use of Paylater produced a coefficient of 0.226

and is significant (p-value <0.01), so that H3 is accepted. Consequently, it is demonstrated that financial risk

tolerance strengthens the influence of hedonic conformity on the use of Paylater. Furthermore, the testing results

of the self-control variable as a moderator between family financial education and the use of Paylater depict a p-

value >0.05, so that H4 is rejected. Hence, it can be stated that self-control does not moderate the influence of

family financial education on the use of Paylater.

FIGURE 2. Output of Full Model Testing

DISCUSSION

Hedonistic conformity has been demonstrated to

have a positive effect on the use of Paylater. The life

of a student who is constantly influenced by one’s

surrounding community will affect his/her lifestyle and

financial behavior. When the community prioritizes

pursuing the pleasures of life, making continuous

purchases, and a luxurious lifestyle, then the student


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will follow suit in order to gain recognition from the

group (Moorthy et al., 2019). The lack of a stable

income and financial capabilities will encourage

students to use debt to fulfill their lifestyles (Shulha et

al., 2023), including debt in the form of Paylater. This

is supported by the ease of getting access to Paylater,

the varying credit terms, and the many discounts

offered. The results of this study are in line with

research by Besharat et al. (2015), who revealed that a

hedonic lifestyle increases the use of debt.

The results of the hypothesis 2 testing convey that

family financial education has a negative effect on the

use of Paylater. The results of this study are in line

with previous research (Ahzab et al., 2023; Rohim et

al., 2022), who proved that better financial

management and lower debt levels will be possessed

by someone who has received financial education

from one’s family. When a student receives financial

education from the family in the form of direct role

models from one’s parents in financial planning,

saving, and investment, then this pattern will be

carried over into the child’s attitude when he is an

adult and has his own income (Bucciol et al., 2022). A

student who is accustomed to receiving financial

education from his/her family will be accustomed to

doing financial planning, avoiding consumer behavior,

and circumventing debt to meet his/her consumer

needs (Lusardi & Streeter, 2023), including not using

Paylater services.

The results of the hypothesis 3 testing reveal that the

level of financial risk tolerance strengthens the

influence of hedonic conformity on the use of

Paylater. The higher the level of risk tolerance of

students, the more willing the students are to accept

greater risks and uncertainties (Grable & Joo, 2004),

such as the risk in using debt (Li, 2023; Minh, 2020).

The tendency of students to adjust their attitudes to

follow group norms, especially groups that prioritize

the pleasures of life (hedonistic lifestyle) and

consumerism will cause students to try to fulfill their

lifestyles in various ways. The absence of a stable

income will encourage students to “buy now and pay

later” to fulfill their lifestyle desires. This will be

further strengthened by the existence of a high level

of risk tolerance because it allows students to dare to

take risks in failing to pay their Paylater debts.

The results of the hypothesis 4 testing indicate that

self-control does not moderate the influence of family

financial education on the use of Paylater. Although

the respondents have a moderate level of self-control,

the majority of the respondents still use Paylater

services, with an average payment period of less than

six months and installment terms of 1-6 times.

(Tangney et al., 2004)revealed that a lack of self-

control can occur. This failure can occur because (1)

there is a conflict between one’s goals and a

weakened self-control, such as a conflict between

feeling better by shopping with the aim of saving; (2)

difficulty in controlling oneself; and (3) self-control


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which depends on resources such as strength and

energy, and the reduction of these resources will

make self-control less effective. The results of the

study reveal that self-control does not support the

negative effect of family financial education on the

use of Paylater. A student decides not to use Paylater

because of the family financial education that has

been obtained, not because of the student’s inherent

self-control.

CONCLUSION

This study, which reveals the use of Paylater among

university students, attests that hedonic conformity

and family financial education are shown to play a role

as determinants, and financial risk tolerance as a

moderator in using Paylater. These findings support

the Theory of Planned Behavior in predicting financial

behavior, especially student debt behavior by using

different proxy variables from previous research. The

subjective norms represented by the hedonic

conformity variable has a positive effect on Paylater

usage. Meanwhile, perceived behavioral control

proxied by the family financial education variable is

able to deter the use of Paylater. Furthermore, the

attitude reflected by the financial risk tolerance

variable is able to moderate the effect of hedonic

conformity on the use of Paylater by students. This

means that attitude strengthens subjective norms in

determining debt behavior in using Paylater services.

This study offers recommendations for students and

higher education curricula at universities regarding

the importance of including elements of financial

literacy and digital literacy in personal financial

management materials for students, both at

undergraduate and postgraduate levels. This content

is not only intended for students of the Faculty of

Economics and Business, but it can also be applied to

multidisciplinary students considering the widespread

phenomenon of abuse of Paylater services that also

occurs among students in both large and small cities.

Limitations and Suggestions for Future Research

This research on Paylater usage applied constructs

from a financial discipline, while the discussion on

financial technology also contains aspects of

information technology. Therefore, further research

can consider including other multidisciplinary

variables such as digital literacy and/ or individual

behavior towards e-commerce. In addition, the

deductions of these findings are limited to the sample

studied. Therefore, it is necessary to consider

comparing the use of Paylater by university students

in large versus small cities and even for non-student

groups.

In

addition,

the

TPB

modification

implemented in this research was only limited to

testing the determinants of Paylater usage; it has not

revealed the positive or negative consequences that

can arise from the use of Paylater. Therefore, this gap

can be an agenda for future research to be

conducted.

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33.

McIvor, D., & Paton, D. (2007). Preparing for

natural hazards: normative and attitudinal

influences. Disaster Prevention and Management,

16(1),

79–88.

https://doi.org/10.1108/09653560710729839

34.

Minh, P. T. (2020). Perceived Risk, Risk Tolerance

and Trust in Debt Decision. Massey University.

35.

Moorthy, K., Yee, T. T., T’ing, L. C., & Kumaran, V.

V. (2019). Habit and hedonic motivation are the

strongest influences in mobile learning behaviours

among higher education students in Malaysia.

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35(4), 174–191. https://doi.org/10.14742/ajet.4432

36.

Norberg, P. A., Horne, D. R., & Horne, D. A. (2007).

The Privacy Paradox: Personal Information

Disclosure Intentions versus Behaviors . Journal of


background image

Volume 04 Issue 12-2024

36


International Journal Of Management And Economics Fundamental
(ISSN

2771-2257)


VOLUME

04

ISSUE

12

P

AGES

:

15-37

OCLC

1121105677

















































Publisher:

Oscar Publishing Services

Servi

Consumer

Affairs,

41(1),

100–126.

https://doi.org/10.1111/j.1745-6606.2006.00070.x

37.

Oktafikasari, E., & Mahmud, A. (2017). Hedonic

Conformity

and

Economic

Literacy

on

Consumptive Behavior Through a Consumptive

Lifestyle. Economic Education Analysis Journal ,

3(1),

684–697.

http://journal.unnes.ac.id/sju/index.php/eeaj

38.

Oteng-Peprah, M., De Vries, N., & Acheampong,

M. A. (2020). Households’ willingness to adopt

greywater treatment technologies in a developing

country–Exploring a modified theory of planned

behaviour (TPB) model including personal norm.

Journal

of

Environmental

Management,

254(109807).

https://doi.org/10.1016/j.jenvman.2019.109807

39.

Ouellette, J. A., & Wood, W. (1998). Habit and

Intention in Everyday Life: The Multiple Processes

by Which Past Behavior Predicts Future Behavior.

Psychological

Bulletin,

124(1),

54–74.

https://doi.org/10.1037/0033-2909.124.1.54

40.

Pahlevi, & Nasrhullah. (2020). Family Financial

Education, Financial Awareness and Personal

Finance. AFRE Accounting and Financial Review,

3(2),

172–179.

https://doi.org/10.26905/afr.v3i2.5840

41.

Prastiwi, I. E., & Fitria, T. N. (2021). The Concept of

Paylater Online Shopping from an Islamic

Economic View. Scientific Journal of Islamic

Economics,

7(1),

425.

https://doi.org/10.29040/jiei.v7i1.1458

42.

Pratika, Y., Salahudin, S., Riyanto, D. W. U., &

Ambarwati, T. (2021). Analysis of Pay Later

Payment System on Online Shopping in Indonesia.

Journal of Economics, Business, & Accountancy

Ventura,

23(3),

329–339.

https://doi.org/10.14414/jebav.v23i3.2343

43.

Prijadi, Wulandari, Pinagara, & Desiana. (2022).

The Dynamics of Micro and Small Enterprises

(MSE) toward Bankability with Coronavirus

Pandemic Adjustment. J. Open Innov. Technol.

Mark.

Complex.,

2022(8),

193–215.

https://doi.org/10.3390/joitmc8040193

44.

Rai, N., & Thapa, B. (2015). A study on purposive

sampling method in research . Kathmandu, 5(1),

8–15.

45.

Rohim, A., Haryono, A., & Wardoyo, C. (2022). The

Effect Of Financial Education, Financial Literature,

And SelfControl On Financial Management

Through Consumption Rationality. Journal of

Economics Education and Entrepreneurship, 3(1),

13–24. https://doi.org/10.20527/jee.v3i1.5131

46.

Salamah, U. (2022). The Effect Of Shopee Paylater

On Student Consumption Behavior. Review Of

Multidisciplinary Education, Culture And Pedagogy

(Romeo),

1(3),

10–21.

https://doi.org/10.55047/romeo.v1i3.229

47.

Sari. (2021). The Influence of Using Paylater on the

Impulse Buying Behavior of E-Commerce Users in


background image

Volume 04 Issue 12-2024

37


International Journal Of Management And Economics Fundamental
(ISSN

2771-2257)


VOLUME

04

ISSUE

12

P

AGES

:

15-37

OCLC

1121105677

















































Publisher:

Oscar Publishing Services

Servi

Indonesia. Business Research and Investment

Jpurnal, 7(1), 44.

48.

Shulha, H., Nugroho, M. T. A., Y, F. H., & Widodo,

Z. D. (2023). The Influence of Financial Literacy

and Lifestyle on Financial Management of

Students at the Faculty of Economics and

Business, UTP Surakarta. Asian Journal of Applied

Business and Management, 2(4), 629–640.

https://doi.org/10.55927/ajabm.v2i4.6859

49.

Statista Research Departement. (2024, July).

Number of users of e-commerce in Indonesia from

2020 to 2029. Www.Statista.Com.

50.

Stromback, C., Lind, T., Skagerlund, K., Vastfjall,

D., & Tinghog, G. (2017). Does self-control predict

financial behavior and financial well-being? Journal

of Behavioral and Experimental Finance, 14, 30–

38. https://doi.org/10.1016/j.jbef.2017.04.002

51.

Sutton, S. (1998). Predicting and explaining

intentions and behavior: How well are we doing? .

Journal of Applied Social Psychology, 28(15), 1317–

1338.

https://doi.org/10.1111/j.1559-

1816.1998.tb01679.x

52.

Syaech, A., & Iramani. (2024). Pengujian Model

Kecenderungan

Berhutang

Masyarakat

Metropolitan . Jurnal Modus, 36(1), 127–142.

53.

Tangney, J., Baumeister, R., & Boone, A. L. (2004).

High Self-Control Predicts Good Adjustment, Less

Pathology, Better Grades, and Interpersonal

Success. Journal of Personality, 72(2), 271–324.

https://doi.org/10.1086/338209

54.

Tannur, V., & Roswiyani, R. (2021). The Correlation

Between Conformity and Self-Confidence Among

Late

Adolescents

in

Jakarta.

https://doi.org/10.2991/assehr.k.210805.062

55.

Tarigan, E. D. S., Putri, Y. S., & Sabrina, H. (2021).

Green Buying Behavior Using Theory of TPB in

Online Shop in Medan City. International Journal

of Science, Technology & Management 604-607.,

2(3),

604–607.

https://doi.org/10.46729/ijstm.v2i3.223

56.

Warsame, M. H., & Ireri, E. M. (2016). Does the

theory of planned behaviour (TPB) matter in

Sukuk investment decisions? Journal of Behavioral

and

Experimental

Finance,

12,

93–100.

https://doi.org/10.1016/j.jbef.2016.10.002

57.

www.bbcnews.com. (2023). Akibat Beli Sekarang

Bayar Nanti’, Banyak Anak Muda Terjerat Utang

Paylater. Www.Bbcnews.Com.

58.

Yasmin, J., & Asmandani, V. (2023). Use of Paylater

Among Taxation Students. Yudishtira Journal:

Indonesian Journal of Finance and Strategy Inside,

3(1). https://doi.org/10.53363/yud.v3i1.64

59.

Yulianto, A., & Wijaya, A. P. (2023). Unlocking the

Impact of Financial Education in Paylater Services:

Investigating the Moderating Effect on Student

Financial Behavior. Migration Letters, 20(8), 651–

661. https://doi.org/10.59670/ml.v20i8.548

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