Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26086
Title: Development of a knowledge-based self-assessment system for measuring organisational performance
Authors: Chin, KS
Pun, KF
Lau, H
Keywords: Knowledge-based system
Performance measurement
Self-assessment
Issue Date: 2003
Publisher: Pergamon Press
Source: Expert systems with applications, 2003, v. 24, no. 4, p. 443-455 How to cite?
Journal: Expert systems with applications 
Abstract: Effective performance measurement is an important task in the discipline of engineering management. With the support of City University of Hong Kong, a research project was initiated to develop a knowledge-based expert self-assessment (KES) training toolkit on measuring and assessing organisational performance based on the evaluation criteria of a renowned Business Excellence Model - the Malcolm Baldrige National Quality Award (MBNQA). This paper explains the development of and elaborates the system framework, requirements, design and validation of the toolkit. The project results shows that the toolkit could facilitate the teaching of students of engineering management courses by providing a stimulating learning environment and practical experiences in measuring and assessing enterprise performance. Incorporating the KES model and toolkit into the engineering management curriculum can provide students and industrial users with hands-on experience and insights of organisational PM.
URI: http://hdl.handle.net/10397/26086
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/S0957-4174(02)00192-6
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