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Unraveling collaborative learning stimuli and effective dynamic capability integration on MNCs: the global capabilities administration model (GCAM)
Review of International Business and Strategy Pub Date : 2022-04-15 , DOI: 10.1108/ribs-06-2021-0085
Bruno F. Abrantes 1 , Miguel Torres Preto 2 , Nelson Antonio 3
Affiliation  

Purpose

Dynamic capabilities yield positive effects to firm-specific advantage formation. Paradoxically, the body of literature on capability diffusion is scarce. The purpose of this study is to focus, thus, on this dearth of literature with an emphasis on exploring the transferability function.

Design/methodology/approach

An integrative review of literature on the dynamic capabilities view covers the organizational context determining capability sharing, supported by strategic communication and business networking theories for the fashioning of global capabilities’ administration model (GCAM).

Findings

Individual motivations and formal modelling of capabilities’ transference have been overlooked in previous research. Largely with a top-down orientation, the current paradigm of their diffusion is profoundly shaped by the organizational structure and its global governance practices.

Research limitations/implications

The GCAM’s architecture, based on transnational administration and hybrid transferability, opens horizons for multinational companies to develop their own capability management systems and is at the same time a new scholarly avenue in the field.

Originality/value

This study explores an untapped research gap and the formal modelling of a GCAM, while reconciling some of the weaknesses of academic research and industry practices.



中文翻译:

揭示跨国公司的协作学习刺激和有效的动态能力整合:全球能力管理模型 (GCAM)

目的

动态能力对公司特定优势的形成产生积极影响。矛盾的是,关于能力扩散的文献很少。因此,本研究的目的是关注文献的缺乏,重点是探索可转移性函数。

设计/方法/途径

对关于动态能力观点的文献的综合审查涵盖了组织环境决定能力共享,由战略沟通和业务网络理论支持,以形成全球能力管理模型 (GCAM)。

发现

以前的研究忽略了个人动机和能力转移的正式模型。目前的传播范式主要是自上而下的,其传播范式深受组织结构及其全球治理实践的影响。

研究局限性/影响

GCAM 的架构基于跨国管理和混合可转移性,为跨国公司开发自己的能力管理系统开辟了视野,同时也是该领域的一条新的学术途径。

原创性/价值

本研究探索了一个尚未开发的研究差距和 GCAM 的正式建模,同时调和了学术研究和行业实践的一些弱点。

更新日期:2022-04-15
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