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Measuring the quality of knowledge work
Author(s) -
Coppola Anthony
Publication year - 1991
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.4680070510
Subject(s) - measure (data warehouse) , quality (philosophy) , variety (cybernetics) , work (physics) , selection (genetic algorithm) , computer science , knowledge management , data science , management science , engineering , data mining , artificial intelligence , mechanical engineering , philosophy , epistemology
There is a variety of ways to measure the quality of knowledge work. The best selection for a particular application depends on how the user defines quality and the intended use of the measure. This paper catalogues possible measures according to five different perspectives on quality and four different uses of quality measures. It concludes with some recommendations for measuring quality in a laboratory.