联盟
相关性(法律)
模块化(生物学)
范围(计算机科学)
多样性(控制论)
多样性(政治)
业务
产业组织
营销
模块化设计
分布(数学)
软件部署
知识管理
计算机科学
数学
社会学
政治学
人工智能
程序设计语言
生物
遗传学
操作系统
法学
人类学
数学分析
作者
John Hagedoorn,Boris Lokshin,Ann‐Kristin Zobel
摘要
Abstract Our research extends the current knowledge based view on the configuration of alliance portfolios and their deployment in different external knowledge environments. We study these alliance portfolios in a longitudinal sample (1996–2010) for over three thousand firms that operate in a large number of industries in the Netherlands. Our findings indicate that partner type variety and partner type relevance, as different dimensions of partner diversity in alliance portfolios, both have an inverted U‐shaped association with firm innovation performance. However, alliance portfolios characterized by both high partner type variety and high relevance cause inferior innovation performance. Different external knowledge environments, characterized by different levels of industry modularity and scope of knowledge distribution, moderate the inverted U‐shaped associations of partner type variety and relevance in alliance portfolios with firm innovation performance in opposing directions. While for partner type variety, a high level is found to be optimal in environments with greater modularity or broader scope of knowledge distribution, for partner type relevance it turns out that a low level is optimal under more modular industry conditions.
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