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Author:Bayart, D.
Title:The fact-theory dialogue in an industrial context: the case of statistical quality control
Journal:European management review
2006 : SUM, VOL. 3:2, p. 87-99
Index terms:cognitive processes
knowledge
theories
Language:eng
Abstract:Statistical control of quality provides an useful example of the way in which industry practices a pragmatic-scientific approach for managing production operations. Knowledge, applied to action, has limited theories with means-end constraints, feedback deadlines, and information economies. These have led to further original and fruitful theoretical questions. In addition, the need to adapt to scientific methods to a little-qualified workforce produced innovative cognitive tools. This article investigates these aspects of the knowledge-creation processes in an industrial activity and shows that the metaphor of a "dialogue" organised between facts and theory is more accurate than the model of hypothesis testing and planned experiment.
SCIMA record nr: 262868
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