嵌入性
联盟
知识管理
业务
编队网络
空格(标点符号)
产业组织
补语(音乐)
过程(计算)
计算机科学
社会学
政治学
表型
万维网
操作系统
基因
化学
互补
法学
生物化学
人类学
作者
Robin Cowan,Nicolas Jonard,Jean-Benoît Zimmermann
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2007-07-01
卷期号:53 (7): 1051-1067
被引量:252
标识
DOI:10.1287/mnsc.1060.0618
摘要
In this paper, we model the formation of innovation networks as they emerge from bilateral decisions. In contrast to much of the literature, here firms only consider knowledge production, and not network issues, when deciding on partners. Thus, we focus attention on the effects of the knowledge and information regime on network formation. The effectiveness of a bilateral collaboration is determined by cognitive, relational, and structural embeddedness. Innovation results from the recombination of knowledge held by the partners to the collaboration, and its success is determined in part by the extent to which firms’ knowledge complement each other. Previous collaborations (relational embeddedness) increase the probability of a successful collaboration, as does information gained from common third parties (structural embeddedness). Repeated alliance formation creates a network. Two features are central to the innovation process: how firms pool their knowledge resources, and how firms derive information about potential partners. When innovation is decomposable into separate subtasks, networks tend to be dense; when structural embeddedness is important, networks become cliquish. For some regions in this parameter space, small worlds emerge.
科研通智能强力驱动
Strongly Powered by AbleSci AI