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Network learning and interorganizational learning: a theoretical framework of relationship and interdependence

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Figshare2022-11-01 更新2026-04-28 收录
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Abstract “Interorganizational learning” (IOL) and “network learning” (NL) are still frequently interpreted as if they were the same phenomenon, even though Knight (2002) claimed they are different constructs. This study demonstrates the consistency of Knight’s claim based on the analysis of both learning processes. Moreover, it highlights their differences in understanding the constructs in the scope of interorganizational networks and organizational transformations. Based on an integrative review, this article describes the subprocesses of IOL and NL through a multilevel learning lens. As a result, the authors develop five propositions and a theoretical framework showing that IOL and NL are indeed different constructs, and the former is an antecedent of the latter. By being aware of the differences between the two constructs, managers may allocate resources and energy easier to achieve organizational change or network-wide transformation. Moreover, the paper presents the network multilevel coordination as a key dynamic for IOL to evolve to NL.

摘要:尽管奈特(Knight, 2002)明确提出“组织间学习(Interorganizational Learning, IOL)”与“网络学习(Network Learning, NL)”为两种不同的构念,但二者仍常被误判为同一现象。本研究通过对两类学习过程的系统性分析,验证了奈特该论断的合理性。进一步地,本文还剖析了二者在组织间网络范畴内的构念理解差异,以及组织变革维度下的核心区别。基于整合性综述,本文以多层级学习视角梳理了两类学习的子过程,并据此提出五项命题与一套理论框架,证实二者确为独立构念,且组织间学习是网络学习的前置影响因素。厘清二者的本质差异后,管理者可更精准地分配资源与精力,以推进组织变革或全网络转型。此外,本文还提出网络多层级协调是推动组织间学习向网络学习演进的关键动态机制。

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2022-11-01
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