Does E-Business Services Enhance Bank Efficiency in Taiwan?

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Data Envelopment Analysis ◽  
Crucial Role ◽  
Data Envelopment ◽  
Mobile Banking ◽  
Business Services ◽  
Bank Efficiency ◽  
Banking Services ◽  
Positive Effects ◽  
The Impact ◽  
Better Than

This study investigates the impact of e-business services on bank efficiency in Taiwan from 2008 to 2019, using the Data Envelopment Analysis (DEA) technique concerning e-business activities as outputs or do not. Comparing two models, these findings show that efficiency scores with e-business output were significantly better than those without e-business outputs, implying that e-business outputs play a crucial role in evaluating bank efficiency. The findings show that e-payment services have brought positive effects to bank efficiency, and that mobile banking services increase the frequency of banking transactions performed by customers, leading to increased bank efficiency.

Determinants of Efficiency in the Malaysian Banking Sector: Evidence from Semi-parametric Data Envelopment Analysis Method

2016 ◽  
Vol 4 (2) ◽  
pp. 151-172 ◽  
Author(s):  
Fadzlan Sufian
Keyword(s):  
Data Envelopment Analysis ◽  
Banking Sector ◽  
Productive Efficiency ◽  
Data Envelopment ◽  
Panel Regression ◽  
Analysis Method ◽  
Bank Efficiency ◽  
Panel Regressions ◽  
Parametric Data ◽  
The Impact

This article follows Simar and Wilson’s (2007 , Journal of Econometrics, 136(1), 31–64) two-stage procedure to analyse the efficiency of the Malaysian banking sector. In the first stage, we employ the data envelopment analysis (DEA) method to compute the efficiency of individual banks during the period 1999–2008. We then use panel regressions to examine the impact of ownership on bank efficiency while controlling for the potential impacts of contextual variables. The DEA results indicate an increase in efficiency over the sample period. The results from the panel regression suggest that productive efficiency is positively related to bank size, capitalization and foreign ownership. On the other hand, the publicly listed and government-owned banks have been relatively inefficient in their intermediation function.

scholarly journals Analisis efisiensi industri perbankan Indonesia setelah merger dan akuisisi: Pendekatan data envelopment analysis

2020 ◽  
Vol 19 (2) ◽  
pp. 159-168
Author(s):  
Yoshua Harbyanto Sipangkar ◽  
Estro Dariatno Sihaloho
Keyword(s):  
Data Envelopment Analysis ◽  
Mergers And Acquisitions ◽  
Credit Risk ◽  
Capital Adequacy ◽  
Data Envelopment ◽  
Risk Capital ◽  
Bank Efficiency ◽  
Section Method ◽  
Efficiency Calculation ◽  
The Impact

This article de termines the factor that influences bank efficiency after mergers and termines the factor that influences bank efficiency after mergers and termines the factor that influences bank efficiency after mergers and acquisitions. The efficiency calculation uses Data Envelopment Analysis (DEA) approach. To test the factors, we use crossacquisitions. The efficiency calculation uses Data Envelopment Analysis (DEA) approach. To test the section method in the first three years after mergers and acquis acquisitions. The efficiency calculation uses Data Envelopment Analysis (DEA) approach. To test the section method in the first three years after mergers and acquis itions. The studies are analyzing the impact of identical factors with bank characteristics such as governance, credit risk, capital adequacy, and loan intensity on bank efficiency, herewith total assets as a control section method in the first three years after mergers and acquis studies are analyzing the impact of identical factors with bank characteristics such as governance, credit risk, capital adequacy, and loan intensity on bank efficiency, herewith total assets as a control variable. The result shows that governa studies are analyzing the impact of identical factors with bank characteristics such as governance, credit risk, capital adequacy, and loan intensity on bank efficiency, herewith total assets as a control variable. The result shows that governa nce and credit risk have no significant effect on bank efficiency nce and credit risk have no significant effect on bank efficiency after mergers and acquisitions. Capital adequacy has a positive and significant effect on bank efficiency in the first three years after mergers and acquisitions. Loan intensity has a positi ve and after mergers and acquisitions. Capital adequacy has a positive and significant effect on bank efficiency in the first three years after mergers and acquisitions. Loan intensity has a positi significant effect on bank efficiency in the second and third years.

Impact of Digitalization on Service Work in Knowledge-Intensive Business Services: An Empirical Study in Tax Consultancies

2019 ◽  
Vol 3 (4) ◽  
pp. 209-222
Author(s):  
Philipp K. Görs ◽  
Henning Hummert ◽  
Anne Traum ◽  
Friedemann W. Nerdinger
Keyword(s):  
Work Engagement ◽  
Service Work ◽  
Psychological Consequences ◽  
Business Services ◽  
Knowledge Intensive Business Services ◽  
Positive Effects ◽  
Knowledge Intensive ◽  
The Impact ◽  
Positive Effect ◽  
Special Case

Digitalization is a megatrend, but there is relatively little knowledge about its consequences for service work in general and specifically in knowledge-intensive business services (KIBS). We studied the impact of digitalization on psychological consequences for employees in tax consultancies as a special case of KIBS. We compare two tax consulting jobs with very different job demands, those of tax consultants (TCs) and assistant tax consultants (ATCs). The results show that the extent of digitalization at the workplace level for ATCs correlates significantly positively with their job satisfaction. For TCs, the same variable correlates positively with their work engagement. These positive effects of digitalization are mediated in the case of ATCs by the impact on important job characteristics. In the case of TCs, which already have very good working conditions, the impact is mediated by the positive effect on self-efficacy. Theoretical and practical consequences of these results are discussed.

Penilaian Efisiensi Bank dengan Data Envelopment Analysis pada 10 Bank Berperingkat Besar di Indonesia

2015 ◽  
Vol 2 (02) ◽  
pp. 113-126
Author(s):  
J.M.V. Mulyadi
Keyword(s):  
Data Envelopment Analysis ◽  
Detailed Analysis ◽  
Jel Classification ◽  
Financial Ratios ◽  
Data Envelopment ◽  
Bank Efficiency ◽  
Efficiency Assessment ◽  
Production Approach

A B S T R A C T Bank efficiency are important in the assessment of the health of banks. Data Envelopment Analysis is a model of efficiency assessment bank that is widely used because it provides a more detailed analysis of the results compared to financial ratios. Analysis carried out by the production approach, intermediation, revenues and profits. This study assesses the 10 major banks in Indonesia. The results showed that of the 10 large banks are still found inefficiencies. DEA resulted in a recommendation that development can be done bank to achieve optimum efficiency. Based on the recommendation expected the bank to maximize the desired profit through efficiency. A B S T R A K Efisiensi bank merupakan hal penting dalam penilaian kesehatan bank. Data Envelopment Analysis adalah model penilaian efisiensi bank yang banyak digunakan karena memberikan hasil analisis yang lebih detil dibandingkan rasio keuangan. Analisi dilakukan dengan pendekatan produksi, intermediasi, pendapatan dan laba. Penelitian ini melakukan penilaian pada 10 bank besar di Indonesia. Hasil penelitian menujukkan bahwa dari 10 bank besar tersebut masih ditemukan inefisiensi. DEA menghasilkan rekomendasi pengembangan yang dapat dilakukan bank untuk mencapai efisiensi optimum. Berdasarkan rekomendasi tersebut diharapkan bank dapat memaksimumkan profit yang diinginkan melalui efisiensi. JEL Classification: G29, O33

Benchmarking the efficiencies of Indonesia’s municipal water utilities using Stackelberg data envelopment analysis

2015 ◽  
Vol 22 (4) ◽  
pp. 588-609 ◽  
Author(s):  
Andreas Wibowo ◽  
Hans Wilhelm Alfen
Keyword(s):  
Data Envelopment Analysis ◽  
The Body ◽  
Water Utilities ◽  
Data Envelopment ◽  
Two Stage ◽  
Restrictive Assumption ◽  
Content Type ◽  
Second Stage ◽  
Municipal Water ◽  
The Impact

Purpose – The purpose of this paper is to present a yardstick efficiency comparison of 269 Indonesian municipal water utilities (MWUs) and measures the impact of exogenous environmental variables on efficiency scores. Design/methodology/approach – Two-stage Stackelberg leader-follower data envelopment analysis (DEA) and artificial neural networks (ANN) were employed. Findings – Given that serviceability was treated as the leader and profitability as the follower, the first and second stage DEA scores were 55 and 32 percent (0 percent = totally inefficient, 100 percent = perfectly efficient), respectively. This indicates sizeable opportunities for improvement, with 39 percent of the total sample facing serious problems in both first- and second-stage efficiencies. When profitability instead leads serviceability, this results in more decreased efficiency. The size of the population served was the most important exogenous environmental variable affecting DEA efficiency scores in both the first and second stages. Research limitations/implications – The present study was limited by the overly restrictive assumption that all MWUs operate at a constant-return-to-scale. Practical implications – These research findings will enable better management of the MWUs in question, allowing their current level of performance to be objectively compared with that of their peers, both in terms of scale and area of operation. These findings will also help the government prioritize assistance measures for MWUs that are suffering from acute performance gaps, and to devise a strategic national plan to revitalize Indonesia’s water sector. Originality/value – This paper enriches the body of knowledge by filling in knowledge gaps relating to benchmarking in Indonesia’s water industry, as well as in the application of ensemble two-stage DEA and ANN, which are still rare in the literature.

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