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Knowledge management (KM) approaches that ignore the principles of operations theory will achieve slow bottom‐line results if any. Many knowledge‐management programs operate under the implicit assumption that all improvements from KM‐enabled learning are equally beneficial. Because of this, organizations spread their KM investments too thin on organization‐wide initiatives that consequently do not produce near‐term business results. In this paper, we propose a knowledge‐management continuous process that first discovers where KM‐enabled learning will address a constraint to business results and then implements an appropriate intervention in the organizational learning process to accelerate the transfer and application of knowledge at the constraint.

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