In a rapidly changing business environment, the need to constantly adapt is deemed essential to maintain competitive advantage. This requires an optimum balance of quantitative and qualitative measures to monitor progress and performance. This paper provides a framework of thought process that will guide practitioners in developing better qualitative measures and seeks to answer three essential questions: thought process 1 – what is the nature of reality? Provides the answer to the question, can the phenomenon be realistically measured? Thought process 2 – what are the processes used for constructing the measure? Provides answer to the question, are the processes appropriate and sufficiently influential? Thought process 3 – what usefulness and power does this measure provide? Provides answer to the question, is it powerful in a practical environment? The framework was applied to measurement in learning organization contexts and ten models were reviewed. Conclusions cover deficiencies in the models and suggestions on how they might be improved.
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1 October 2003
Research Article|
October 01 2003
Towards better qualitative performance measurement in organizations Available to Purchase
Peter Yih‐Tong Sun;
Peter Yih‐Tong Sun
Peter Yih‐Tong Sun is Chief Executive Officer at Sabre Technologies Ltd, Rapier Consulting Ltd, Dehiwela, Colombo, Sri Lanka.
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John L. Scott
John L. Scott
John L. Scott is Associate Professor at Waikato University, Department of Management Systems, Hamilton, New Zealand.
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Publisher: Emerald Publishing
Online ISSN: 1758-7905
Print ISSN: 0969-6474
© MCB UP Limited
2003
The Learning Organization: An International Journal (2003) 10 (5): 258–271.
Citation
Yih‐Tong Sun P, Scott JL (2003), "Towards better qualitative performance measurement in organizations". The Learning Organization: An International Journal, Vol. 10 No. 5 pp. 258–271, doi: https://doi.org/10.1108/09696470310486610
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