Research Repository

A multivariate model of integrated branch performance and potential focusing on personal banking

Avkiran, Necmi Kemal (1995) A multivariate model of integrated branch performance and potential focusing on personal banking. PhD thesis, Victoria University of Technology.

[img] Text
Avkiran_1995_compressed.pdf

Download (6MB)

Abstract

Existing methodologies of bank branch performance analysis are dominated by accounting and financial measures that inherently generate information of a retrospective nature. The outcomes are a possible misleading assessment of a branch's economic viability and misguided planning decisions in reconfiguring a branch. ... This study develops three principal models for an integrated analysis of personal banking performance, based on data collected from branches of a major Australian trading bank. In conclusion, the study delivers a model of overall performance comprised of eight variables; a model of overall potential also comprised of eight variables,- and, a discriminant model comprised of five predictors and two functions with validated coefficients, and a cross-validated correct classification rate. In addition, scales developed for such constructs as customer service quality and managerial competence can be applied independent of regression analysis and discriminant analysis models. It is submitted that the findings of the study can be used in decisions concerning reconfiguring, closing, or opening branches. Furthermore, the study could assist in minimising the gap between current branch performance and branch potential, by focusing attention on the treatment of variables that are controllable by bank management.

Item Type: Thesis (PhD thesis)
Additional Information:

Includes bibliographical references: pp.305-327

Uncontrolled Keywords: Branch banks, Evaluation, customer services
Subjects: Faculty/School/Research Centre/Department > School of Economics and Finance
FOR Classification > 1402 Applied Economics
Depositing User: VU Library
Date Deposited: 20 Apr 2010 23:25
Last Modified: 23 May 2013 16:42
URI: http://vuir.vu.edu.au/id/eprint/15434
ePrint Statistics: View download statistics for this item

Repository staff only

View Item View Item

Search Google Scholar