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EDEA: An expert knowledge-based tool...

Bala, Kamel.

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EDEA: An expert knowledge-based tool for performance measurement.

Record Type:	Electronic resources : Monograph/item
Title/Author:	EDEA: An expert knowledge-based tool for performance measurement./
Author:	Bala, Kamel.
Description:	156 p.
Notes:	Source: Dissertation Abstracts International, Volume: 63-02, Section: A, page: 0655.
Contained By:	Dissertation Abstracts International63-02A.
Subject:	Business Administration, Banking. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ66342
ISBN:	0612663426

EDEA: An expert knowledge-based tool for performance measurement.
Bala, Kamel.

EDEA: An expert knowledge-based tool for performance measurement. - 156 p.

Source: Dissertation Abstracts International, Volume: 63-02, Section: A, page: 0655.

Thesis (Ph.D.)--York University (Canada), 2001.

This thesis presents an improved measurement tool for evaluating performance of branches within a major Canadian bank. While there have been numerous previous studies of performance at a branch level, within the banking industry, this study is different in a very significant way: specifically two kinds of data are used to develop the model.

ISBN: 0612663426Subjects--Topical Terms:

1018458
Business Administration, Banking.

EDEA: An expert knowledge-based tool for performance measurement.
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020 $a 0612663426
035 $a (UnM)AAINQ66342
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040 $a UnM $c UnM
100 1 $a Bala, Kamel. $3 1945835
245 1 0 $a EDEA: An expert knowledge-based tool for performance measurement.
300 $a 156 p.
500 $a Source: Dissertation Abstracts International, Volume: 63-02, Section: A, page: 0655.
500 $a Adviser: Wade D. Cook.
502 $a Thesis (Ph.D.)--York University (Canada), 2001.
520 $a This thesis presents an improved measurement tool for evaluating performance of branches within a major Canadian bank. While there have been numerous previous studies of performance at a branch level, within the banking industry, this study is different in a very significant way: specifically two kinds of data are used to develop the model.
520 $a The first type of data is standard transaction data available from any bank. Such data have formed the basis of previous studies. The second type of data, obtained from the site studied, is what can be called classification information, based on branch consultant/expert judgment as to good or poor performance of branches.
520 $a The purpose here is to develop an expert knowledge-based version of an existing benchmarking model. Data Envelopment Analysis (DEA), and to show how this tool is applied in the banking industry. To reflect this extension of the basic DEA model, we adopt the acronym <bold>EDEA</bold>.
520 $a Chapter 1 presents the context of the research and briefly describes knowledge acquisition techniques.
520 $a Chapter 2 introduces the DEA theory, with its major models, and describes three different discriminant techniques, namely: (1) Logistic regression, which is based on the Maximum Likelihood concept; (2) Discriminant analysis, based on centroids and groups; (3) Goal programming, a powerful extension of linear programming.
520 $a Chapter 3 builds classification concepts into the <italic>additive</italic> DEA model. It demonstrates how DEA measures can be enhanced, by incorporating expert judgement into the structure. This enhancement facilitates variable selection, as part of the modeling exercise. This new methodology is tested using a set of data provided by a major Canadian bank.
520 $a Chapter 4 extends the ideas of Chapter 3 to a nonlinear (<italic>input-oriented </italic>) DEA model structure. As well, this chapter extends the expert system structure, by adding further knowledge information in the form of a specification of the status (output or input), of a subset of the variables.
520 $a Chapter 5 investigates a number of extensions of the models of the two previous chapters. Specifically, an investigation is performed regarding the imposition of certain constraints into the earlier models.
520 $a Conclusions are presented in Chapter 6.
590 $a School code: 0267.
650 4 $a Business Administration, Banking. $3 1018458
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Business Administration, Management. $3 626628
690 $a 0770
690 $a 0800
690 $a 0454
710 2 0 $a York University (Canada). $3 1017889
773 0 $t Dissertation Abstracts International $g 63-02A.
790 1 0 $a Cook, Wade D., $e advisor
790 $a 0267
791 $a Ph.D.
792 $a 2001
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ66342