What happens to P? Lessons from network action learning research

Paul Coughlan and David Coghlan

Action Learning: Research and Practice, 2021, vol. 18, issue 2, 91-101

Abstract: This article explores how P (programmed learning) in Revans’ formula L=P + Q accumulates from one action learning research initiative to another. Drawing on three inter-organizational action learning research initiatives, it shows how the L (learning) from conducting action learning in an initiative in one network built new P on network action learning research which was applied in two subsequent initiatives. The article contributes an understanding of how P accumulates from learning initiative to learning initiative and how its application contributes to the L of actionable knowledge.

Date: 2021
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DOI: 10.1080/14767333.2021.1884044

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