Cross System Bank Branch Evaluation Using Clustering and Data Envelopment Analysis

2010 ◽  
pp. 238-245 ◽  
Author(s):  
Zijiang Yang
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Bank Branch ◽  
Cross System

Two-stage evaluation of bank branch efficiency using data envelopment analysis

Omega ◽  
2011 ◽  
Vol 39 (1) ◽  
pp. 99-109 ◽  
Author(s):  
Joseph C. Paradi ◽  
Stephen Rouatt ◽  
Haiyan Zhu
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Two Stage ◽  
Bank Branch ◽  
Using Data

scholarly journals Application of Electre III and DEA methods in the BPR of a bank branch network

2005 ◽  
Vol 15 (2) ◽  
pp. 259-276 ◽  
Author(s):  
Xenofon Damaskos ◽  
Glykeria Kalfakakou
Keyword(s):  
Data Envelopment Analysis ◽  
Human Resources ◽  
Relative Efficiency ◽  
Operational Research ◽  
Data Envelopment ◽  
Research Methodologies ◽  
Bank Branch ◽  
Electre Iii ◽  
Ongoing Effort ◽  
Future Business

Operational research methodologies are a powerful tool assisting managers in their effort to critically review business data and decide on future business actions. This paper presents the application of Electre multi-criteria methodology and Data Envelopment Analysis, as a part of a small commercial bank's ongoing effort to reengineer its branch network. We focus on two particular problems: first, categorization of the branches so as to apply adequate equivalent organizational schemas and second the assessment of relative efficiency of human resources.

Assessing Canadian Bank Branch Operating Efficiency Using Data Envelopment Analysis

2009 ◽  
Author(s):  
Zijiang Yang ◽  
Sio-Iong Ao ◽  
Alan Hoi-Shou Chan ◽  
Hideki Katagiri ◽  
Li Xu
Keyword(s):  
Data Envelopment Analysis ◽  
Operating Efficiency ◽  
Data Envelopment ◽  
Bank Branch ◽  
Using Data

Evaluation of Branch-Based Efficiency in Turkish Deposit Banks

2015 ◽  
pp. 64-74 ◽  
Author(s):  
Ümit Hacıoğlu ◽  
Hasan Dinçer ◽  
Özlem Olgu
Keyword(s):  
Data Envelopment Analysis ◽  
Banking Sector ◽  
Returns To Scale ◽  
Scale Model ◽  
Data Envelopment ◽  
Bank Branch ◽  
Empirical Results ◽  
Efficiency Performance ◽  
Constant Returns To Scale ◽  
Privately Owned

The aim of the chapter is to measure the non-interest income based branch efficiency among privately-owned banks in the Turkish banking sector between 2008 and 2012. The chapter is built on the three inputs and three outputs model of bank branch efficiency and empirical results are constructed with the data envelopment analysis (DEA) in the limitation of input-orientated constant returns to scale model. The results demonstrate that all privately-owned banks improve non-interest based efficiency performance by the years and mean efficiency in the sector regularly rises due to the increasing overall competitive factors.

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