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doi:10.1016/S0957-4174(02)00192-6    
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Copyright © 2003 Elsevier Science Ltd. All rights reserved.

Development of a knowledge-based self-assessment system for measuring organisational performance

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Kwai-Sang ChinCorresponding Author Contact Information, E-mail The Corresponding Author, a, Kit-Fai Punb and Henry Lauc

a Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Tat Chee Avenue, Hong Kong, People's Republic of China

b Department of Mechanical Engineering, The University of The West Indies, St Augustine, Trinidad and Tobago

c Department of Manufacturing Engineering, Hong Kong polytechnic University, Hum Hom, Hong kong, People's Republic of China


Available online 20 January 2003.

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.

Author Keywords: Performance measurement; Self-assessment; Knowledge-based system

Article Outline

1. Introduction
2. Notion of performance measures
3. Concepts of total quality management and business excellence
4. The TQM–BE–PM integration and self-assessment
5. Model for knowledge-based expert self-assessment
5.1. A systems framework
5.2. Modelling of self-assessment instruments
5.3. Self-assessment scoring methods
5.4. Interpretation of self-assessment scoring results
6. System requirements of KES
7. Building of knowledge base
7.1. Structuring acquired knowledge with Microsoft Access
7.2. Establishment of ‘if–then’ rules
8. System structure of KES
9. System maintenance
10. Development of training features
10.1. A virtual company for web-based training
10.2. On-line user manual
11. Evaluation of the KES system
12. Conclusion
Acknowledgements
References









Corresponding Author Contact InformationCorresponding author. Fax: +852-2788-8423


 
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