Digitalization and Efficiency: Technology-based Service of Indonesia Sharia Commercial Banks

Firsty Izzata Bella, M. F. Himmawan
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引用次数: 1

Abstract

This study aims to assess the technology-based service effectiveness on bank profitability as well as to evaluate the efficiency and stability of Islamic Commercial Banks in Indonesia. The model was analyzed by using multiple linear regressions with generalized least square estimation technique and Data Envelopment Analysis (DEA) with data are gathered from Q1 2017 to Q2 2020. The exogenous variables included were Branchless Banking (BB), Third-party Funds (DPK), and Technology Service Quality (TSQ), with banking operational income (PENDOP) as endogenous variable. The DEA method analyses the VRS and CRS scale while using output orientation. Using the inputs of DPK, operational expenses, and total funding, with the outputs of operational earnings and total assets. The main finding suggests that DPK played as a dominant variable, following by TSQ and BB on bank operational income. Moreover, the results of the DEA models showed in four quadrants in each CRS and VRS model. Respectively, 1 and 5 banks are highly efficient and stable, 5 and 2 banks have high efficiency but low stability, 4 and 2 banks have low efficiency but high stability, 4 and 5 banks have low efficiency and stability in the CRS and VRS model.
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数字化与效率:印尼Sharia商业银行的技术服务
本研究旨在评估基于技术的服务对银行盈利能力的有效性,并评估印度尼西亚伊斯兰商业银行的效率和稳定性。该模型采用多元线性回归和广义最小二乘估计技术进行分析,数据包络分析(DEA)收集了2017年第一季度至2020年第二季度的数据。外生变量包括无分行银行(BB)、第三方基金(DPK)和技术服务质量(TSQ),银行运营收入(PENDOP)为内生变量。DEA方法在使用输出定向的情况下分析VRS和CRS规模。使用DPK、运营费用和总资金的投入,以及运营收益和总资产的产出。主要研究结果表明,DPK是银行营业收入的主导变量,其次是TSQ和BB。此外,DEA模型的结果显示在每个CRS和VRS模型的四个象限中。在CRS和VRS模型中,分别有1个和5个银行高效且稳定,5个和2个银行高效但稳定性低,4个和2个中效率低但稳定性高,4个银行和5个中效率低且稳定性低。
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审稿时长
8 weeks
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