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The Impact of Alliance Management Capabilities on Alliance Attributes and Performance: A Literature Review

机译:联盟管理能力对联盟属性和绩效的影响:文献综述

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The literature on alliances has identified a variety of inter-firm antecedents of performance, including information and knowledge sharing between partners, shared partner understanding, and a focus on collective objectives. Recent studies have focused on alliance management capabilities (AMC) - firms' abilities to capture, share, store and apply alliance management knowledge - as an important antecedent of performance. This paper reviews 90 studies on AMC and makes two important contributions to the literature. First, the review provides an overview of and classification scheme for the different types of AMC to better organise the diverse empirical findings that have been presented in the literature. The novel classification distinguishes between general and partner-specific AMC and between AMC stored within the firm and within the alliance. Second, consistent with the dynamic capabilities perspective, this paper offers a more detailed understanding of why AMC improve performance, by highlighting the intermediate impact of AMC on alliance attributes. In particular, the review demonstrates how the different categories of AMC influence alliances in terms of information and knowledge-sharing between partners, shared partner understanding and the pursuit of collective goals. The review also demonstrates that these attributes improve performance. The authors note promising avenues for future empirical research that involve combining the classification scheme with research on the impact of AMC on alliance attributes and performance.
机译:有关联盟的文献确定了公司间业绩的各种前提,包括伙伴之间的信息和知识共享,伙伴的共同理解以及对集体目标的关注。最近的研究集中于联盟管理能力(AMC),即企业获取,共享,存储和应用联盟管理知识的能力,这是绩效的重要前提。本文回顾了有关AMC的90项研究,并对文献做出了两个重要贡献。首先,本综述概述了不同类型的AMC并对其分类方案,以更好地组织文献中提出的各种经验发现。新颖的分类区分了普通AMC和特定于合作伙伴的AMC,以及存储在公司内和联盟内的AMC。其次,与动态能力观点一致,本文通过强调AMC对联盟属性的中间影响,提供了对AMC为什么提高绩效的更详细的理解。尤其是,这篇综述展示了AMC的不同类别如何在合作伙伴之间的信息和知识共享,共享的合作伙伴理解以及追求集体目标方面对联盟产生影响。审查还表明,这些属性可以提高性能。作者指出,未来的实证研究有希望的途径,包括将分类方案与AMC对联盟属性和绩效的影响研究相结合。

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