EVALUATION OF DIGITAL BANKING EFFICIENCY IN INDONESIAN BANKING SECTOR USING DATA ENVELOPMENT ANALYSIS (DEA)
In the last few years, the digital banking industry in Indonesia has experienced significant growth due to customers changing demands. Indonesian banks have been rapidly adopting digital technologies in order to enhance their efficiency, mainly because of the fast adoption of digital technologies...
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Format: | Theses |
Language: | Indonesia |
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Online Access: | https://digilib.itb.ac.id/gdl/view/75718 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | In the last few years, the digital banking industry in Indonesia has experienced
significant growth due to customers changing demands. Indonesian banks have
been rapidly adopting digital technologies in order to enhance their efficiency,
mainly because of the fast adoption of digital technologies, the growing usage of
mobile devices, and the COVID-19 pandemic, which forced several activities to be
done online. The digitalization of the banking industry is also supported by the
authority’s regulations, including Peraturan Bank Indonesia Nomor 20/6/PBI/2018
regarding electronic money and Peraturan Otoritas Jasa Keuangan Nomor
12/POJK.03/2021 regarding digital banks. There are several types of digital banks
in Indonesia, consisting of digital bank as a business unit of an incumbent bank and
neo-bank as a full digital bank. Digital transformation in the banking industry may
reduce several operating expenses since the characteristics of a digital bank are that
it only has a few office branches, reduces the number of employees, and is expected
to increase efficiency.
This research aims to measure the efficiency of Indonesian commercial banks using
the Data Envelopment Analysis (DEA) method with a Variable Return-to-Scale
(VRS) model, using the production approach and input-orientation, because the
purpose of this research is to minimize the input. The variables used in this research
are labor expenses (x1), earning assets (x2), and fixed assets and equipment (x3) as
the input variables, and loans (y1), Third-Party Funds (y2), and non-interest income
(y3) as the output variables. The research evaluates the efficiency of 39 Indonesian
commercial banks, including 7 digital banks as business units, 5 neo-banks, and the
rest as the bank population. The observation period of this research is from 2012 to
2022, with the earliest digital transformation in the Indonesian banking industry
occurring in 2016. The results show that the overall banks’ efficiency is fluctuating
over time. During the observation period, the efficiency of digital banks as a
business unit and neo-banks, both are more efficient than non-digital banks.
Meanwhile, only several digital banks and neo-banks are operated more efficiently
after digitalization. Furthermore, the results of Mann-Whitney U test indicated that
there is a significant difference of the banks’ efficiency before and after digital
transformation in the Indonesian banking industry because all the test results
rejected the null hypothesis, even if the banks’ efficiency prior to digitalization was
better. The result of this research might be used as an insight for each stakeholder, such as
Indonesian commercial banks, and the authorities, including Bank Indonesia and
OJK. Each bank may utilize this information to better plan its short-, medium-, and
long-term strategies in order to reduce operating costs and increase efficiency. For
the financial services authorities as the regulator and supervisor, it can be used to
establish regulations and guidelines for Indonesian digital banks. This research also
can be extended to categorize the commercial banks based on their core capital
categories and considered the distraction of macroeconomy factors, such as the
COVID-19 pandemic to the downfall of the banks’ efficiency in 2020, which has
not been applied in this research.
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