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MBNQA criteria in education: assigning weights from a Malaysian perspective and proposition for an alternative evaluation scheme
Author(s) -
Islam Rafikul
Publication year - 2007
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/j.1475-3995.2007.00596.x
Subject(s) - analytic hierarchy process , nist , order (exchange) , quality (philosophy) , marketing , profitability index , operations research , computer science , management science , engineering management , business , knowledge management , engineering , philosophy , finance , epistemology , natural language processing
In order to improve quality and productivity among American companies, the Malcolm Baldrige National Quality Award (MBNQA) was launched by the National Institute of Standards and Technology (NIST) under the US Department of Commerce in 1987. Over the years, the award has proved to be effective in improving companies' market share, customer satisfaction, employee morale, and also profitability. MBNQA has been a ‘role model’ in developing a national quality award for many other countries in the world. Furthermore, for organizational self‐assessment, the criteria framework of MBNQA has been in use throughout the world. Presently, the award is offered in three categories: Business, Education, and Health care. The present paper is concerned with MBNQA in Education. NIST has developed a comprehensive set of criteria to be fulfilled in order to be eligible to win the award. However, in the existing literature, it is not clear how the weights are assigned to the criteria and subcriteria. The present paper uses the analytic hierarchy process (AHP) to reassign criteria weights from a Malaysian perspective. Furthermore, the paper points out the fallacy of the present evaluation scheme and proposes an alternative one based upon the absolute measurement procedure of AHP. The modified scheme is expected to enhance the fairness of the evaluation of the award aspirants. The paper also shares the experiences gathered in data collection using AHP.