Trends in Financial Management Research in Indonesia:
Bibliometric Analysis
Daris Purba
1a
, Suratman
1b
, Yuliadi
1c
, Yossi Hendriati
1d
and Zara Tania Rahmadi
2e
1
Sekolah Tinggi Ilmu Ekonomi Galileo, Batu Ampar, Batam, Indonesia
2
Institut Bisnis dan Informatika Kosgoro 1957, Lenteng Agung, Jakarta, Indonesia
Keywords: Financial Management, Bibliometric Analysis, Indonesia, Research.
Abstract: The purpose of this research is to analyze the current trends in financial management research in Indonesia.
The aim is to gain insight into the research themes and focus in this field. In this study, bibliometric analysis
is employed, which involves four stages of analysis: defining the research objectives and scope, selecting
bibliometric analysis tools, collecting data, and analyzing the data to reach a conclusion. The data was
collected from the Google Scholar database using the keywords "financial management." Specifically, data
from journals and proceedings published between 2020 and 2022 were analyzed, resulting in 254 data points.
The VOS Viewer Application's performance and network analysis techniques were used to analyze 64 of
those. The findings indicate that financial management research trends in Indonesia strongly focus on the
influence of financial literacy on financial attitudes if data used were primary data and company value and
performance if data used were secondary.
1 INTRODUCTION
There could still be a lack of research in financial
management science in Indonesia. Research in this
field is needed to support economic growth. There
should be a lot of research in this area.
From the observations made, the major themes of
research in the field of financial management in
Indonesia are confirmation of theories or previous
findings with facts that are currently available. The
themes that are often encountered are the effect of
income on profits, the effect of debt on income, and
the like. The majority of research only confirms
existing theories and does not generate new ideas.
There is more research expected to be done on
emerging phenomena in Indonesia. The number of
small and medium enterprises, the growth of
companies and business fields, and companies in
remote areas are phenomena that require further
study. Preliminary observations indicate that these
phenomena are rarely studied.
a
https://orcid.org/0000-0003-4756-8333
b
https://orcid.org/0009-0000-2692-658X
c
https://orcid.org/0009-0004-4686-4194
d
https://orcid.org/0009-0005-7490-3792
e
https://orcid.org/0009-0009-3065-8931
To come to a conclusion about the themes
discussed in financial management in Indonesia,
research is necessary. This study aims to analyze and
conclude this.
2 LITERATURE REVIEW
Baker's research (Baker et al., 2023) shows several
trends in JIFMA (Journal of International Financial
Management and Accounting. The main aspects of
financial management include corporate governance,
equity valuation, foreign equity ownership, cost of
capital, triple-bottom-line disclosure, and managerial
ownership and earnings management. Based on these
themes, it can be inferred that more investigation is
being conducted in the realm of the company's
financial management.
Baker et al. also conducted bibliometric research
in the Global Finance Journal previously. The
conclusion is that the research trend is contained in
Purba, D., Suratman, ., Yuliadi, ., Hendriati, Y. and Tania Rahmadi, Z.
Trends in Financial Management Research in Indonesia (Bibliometric Analysis).
DOI: 10.5220/0012629200003798
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 2nd Maritime, Economics and Business International Conference (MEBIC 2023) - Sustainable Recovery: Green Economy Based Action, pages 111-114
ISBN: 978-989-758-704-7
Proceedings Copyright © 2024 by SCITEPRESS Science and Technology Publications, Lda.
111
two clusters; the first is the impact of country-specific
factors on finance such as the impact of financial
ratios, stock price movements, and financial risks; the
second is the impact of macro and microeconomic
factors on stock earnings (Baker et al., 2021)
There is a growing body of research on the impact
of technological advances on financial management
in other studies. Here are the studies in question. A
study using bibliometric study found 4 main themes
dominate research in finance, namely: applications
and settings, critical technologies, digital finance, and
their impact on Companies (Zou et al., 2023).
One of the latest developments in financial
technology is Blockchain. The research on
Blockchain has been reported to be fresh. Blockchain
can allegedly form new patterns and dynamics in
finance (Boakye et al., 2022).
Research in the field of blockchain is on the rise.
The topic of discussion is the impact on financial
institutions, financial applications, regulation, and
cybersecurity. Future research is how to monitor
blockchain implementation, this requires cross-
country analysis using a multi-disciplinary approach
(Patel et al., 2022).
In addition to research on technological
developments' impacts, research on finance also
raises new variables that allegedly improve financial
performance. A study shows that several new
variables are interesting to be used in future research,
such as'stakeholder engagement', 'integrated
reporting', and 'voluntary disclosure'. (Murdayanti &
Khan, 2021).
From the literature review above, it can be
concluded that research trends in financial
management science can be grouped into three
clusters sequentially, namely: the impact of
technological developments, new theories and
variables, old theories and variables.
3 METHOD
This research is about literature. This study aims to
identify previous research related to financial
management by using the keyword 'financial
management'. This study used the Publish or Perish
application to find a list of journals that use the
keyword 'financial management'.
A study concluded Bibliometric technique is an
important research tool for mapping emerging studies
(Khan et al., 2022) From this mapping, research can
be carried out to further develop science.
Data from Publish or Perish is then processed
using the Mendeley application. Journals that do not
match the criteria are then removed from the
database. The criteria were removed because they
were deemed unsuitable for community service
journals, sharia field journals, and non-financial
management journals.
From Mendeley, the data is then processed using
the VOS Viewer application to see the mapping.
From the results of the mapping, analysis, and
conclusions were then drawn.
4 RESULT & DISCUSSION
The results of data processing using VOS viewer
found that those topics that are often discussed and
related to other themes are 'Financial Literacy' and
'Financial Attitudes'. More details are presented in the
following table.
Table 1: Total links for most keywords.
Ke
y
word Links
Profitabilit
y
13
Financial Attitude 23
Financial Literacy 38
SME 19
Financial Performance 18
Com
p
an
y
Value 14
Table 1 shows the number of links from the 6 most
popular keywords. Financial Literacy is the ones with
the most links, amounting to 38 links.
4.1 Result
Network analysis serves to see the relationship
between keywords. The analysis reveals the number
of keywords that appear in research, the relationship
between keywords, and the mapping and clustering of
relationships. For this, a computer application is used
which is the VOS Viewer. The application is used for
mapping and clustering. Mapping and clustering are
complementary to each other. Mapping is used to
visualize network structures in bibliometrics. while
the clustering is not bound to dimensional constraints
(Waltman et al., 2010).
The stage in bibliometric analysis is to look at the
network, overlay, and density taken from article
metadata. A bibliometric network consists of dots and
lines. Points are drawn in circles, while lines depict
relationships between points.
The results of the network analysis can be seen in
the figure in Figure 1.
MEBIC 2023 - MARITIME, ECONOMICS AND BUSINESSINTERNATIONAL CONFERENCE
112
Figure 1: Network Analysis Result.
The topic that is most talked about is financial
literacy and financial attitudes. Each color in the
analysis network describes its cluster. Data analysis
yielded 14 clusters and 102 keywords. Keyword
clustering is presented in Table 2.
Table 2: Clusters and Keywords.
Cluste
r
Keywor
d
1
(red)
IDX, corporate governance rating, JCI,
financial management decisions, rupiah
exchange rate, leverage, liquidity, stock
liquidity, literature review, company value,
growth, stock return, solvency, interest rate,
inflation rate, company size
2
(Dark
green)
Socioeconomic demography, fintech,
lifestyle hedonism, Generation Y, spiritual
intelligence, financial literacy, personal
financial management, practice model, future
orientation, payment gateway, financial
learnin
g
, financial
b
ehavio
r
, income level
3
(Dark
blue)
assets, manufacturing industry, information,
financial performance, asset management,
profit management, working capital
management, working capital, bond ratings,
manufacturing companies, transportation
sector com
anies,
rofitabilit
, financial ratios
4
(yellow)
Survey analysis, family farmers, welfare,
financial management, digital marketing,
accountin
g
p
ractices, MSMEs.
5
(Dark
purple)
Employee class, personality, MSME actors,
financial knowledge, financial behavior of
workers, financial management behavior,
attitude, financial attitude
6 (Light
b
lue)
Lifestyle, millennials, self-control, locus of
control, students, income,
b
ehavio
r
7
(orange)
EPS, share price, NPM, ROA, ROE, literature
study
8 (light
p
ur
p
le
)
Covid-19, innovation, family economy,
financial mana
g
ement
p
ractices
9 (light
p
ink)
Investment interest, investment motivation,
return perception, risk perception.
10 (dark
p
ink)
GPA, gender, management students
11(light
g
reen
)
Financial self-efficacy, locus of control, parental
income, financial mana
g
ement
b
ehavio
r
12 Di
g
ital marketin
g
, fashion, businessmen
13 Concept, scope, goals, and principles
14 Famil
y
environment, colle
g
e learnin
g
Table 2 above gives an explanation of the
characteristics of each cluster. Cluster 1 is related to
the Company's finances. Cluster 2 is related to
financial management in Generation Y. Cluster 3 is
related to financial management in the Company's
accounting. Cluster 4 is related to the use of financial
management in the community, especially in the
farming community. Cluster 5 deals with finances for
employees. Cluster 6 is a finance cluster in the
millennial generation. Cluster 7 relates to financial
ratios in the company. Cluster 8 is related to finances
during COVID-19. Cluster 9 deals with investment,
risk, and return. Cluster 10 is related to students,
GPA, Batch, and finance. Cluster 11 deals with
personal finances on a person-by-person basis.
Cluster 12 is related to digital marketing. Cluster 13
concepts, scope, objectives, and principles. Cluster 14
is related to the family environment and learning in
universities.
The cluster shown in Table 2 explains that
research trends in Indonesia when referring to the
conclusions of literature studies then fall into the
group of old theories research using classical
variables.
In addition to showing research clusters, network
analysis methods can also show research trends.
Using VOS Viewer, network analysis can show
trends that have become research topics from year to
year. The study pulled data from 2020 to 2022, or
over 3 years. Figure 2 shows the colors of each topic.
The bright color indicates that the research is new,
and is approaching 2022. The dark color indicates that
the study is an old study that is approaching 2020.
Figure 2: Overlay Visualization.
The Company's value and performance were
widely talked about in 2020. The topic of discussion
in 2022 is financial attitudes and financial literacy.
This can also be seen in the Density Visualization in
Figure 3.
The type of data used affects research trends, as
suggested by trend analysis. If the type of data is
secondary data, then the research theme is on the
Trends in Financial Management Research in Indonesia (Bibliometric Analysis)
113
value and performance of the Company. If the type of
data is primary data, then the research theme is on
financial attitudes and financial literacy.
Using the data on the number of keyword links in
Table 1, it can be seen that financial literacy is the one
with the most links. Thus, it can be concluded that in
general, financial management research in Indonesia
uses primary data rather than secondary data as
previously discussed.
Figure 3: Density Visualization.
4.2 Discussion
From the results of the study, it was found that the
research trend in the field of financial management is
focused on the topics of financial attitudes and
financial literacy. These topics are widely researched
using influence tests. A title for research could be The
Influence of Financial Literacy on Financial Attitudes
in Object X.
This kind of research is just research that confirms
previous research. Research like this does not lead to
new findings or studies. This may be due to the rise
of quantitative research using regression tests among
students and lecturers.
The comparison between review literature taken
from abroad is quite different. In the literature review
discussed above, it is known that international
research trends are on the topic of blockchain, how to
create a secure system, how to monitor it, and how it
impacts the existing financial system. This research is
indeed needed at this time considering the widespread
use of blockchain as a transaction tool.
5 CONCLUSION
The trend in research in the field of financial
management is in research on company value and
performance and influences of financial literacy on
financial attitudes. The kind of research that does not
produce new findings but only confirms the results of
research from one object to another.
It is suspected that trends on financial
management research in Indonesia depends on the
type of data used. The value and performance of the
company is the theme if the data used is secondary. If
the data is primary data then the theme is attitudes and
financial literacy.
This research recommends to financial
management scientists to look the trends that exist
internationally which are currently on the theme of
technological impact and new variables in the
financial field.
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