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.

中文翻译：

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P会怎么样？网络行动学习研究的教训

摘要

本文探讨了 Revans 公式 L=P + Q 中的 P（程序化学习）如何从一个行动学习研究计划累积到另一个。利用三个组织间行动学习研究计划，它展示了在一个网络中的一项计划中进行行动学习的 L（学习）如何在网络行动学习研究中建立新的 P，并将其应用于两个后续计划。这篇文章有助于理解 P 如何从学习主动性积累到学习主动性，以及它的应用如何有助于可操作知识的 L。