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首页> 外文期刊>Technological forecasting and social change >Alliance network configurations and the co-evolution of firms' technology profiles: An analysis of the biopharmaceutical industry
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Alliance network configurations and the co-evolution of firms' technology profiles: An analysis of the biopharmaceutical industry

机译：联盟网络配置和企业技术概况的共同演进：生物制药行业分析

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摘要

Many inter-organizational networks exhibit small-world properties in that they consist of close-knit sub-networks or blocks, along with sparse ties spanning those blocks, so that an average firm in the network has short connections to a wide range of partners. While extant literature has shown that networks exhibiting these properties outperform those that do not, little empirical research exists on the process of knowledge exchanges among firms within and across blocks in a network. This paper aims to fill this gap in the context of inter-firm technology alliance networks in the biopharmaceutical industry. Adopting an intertemporal perspective, we examine how particular alliance relationships within a network affect learning and information flows and therefore the co -evolution and similarity of the firms' technology profiles. Results of a Quasi-Maximum Likelihood analysis on a 10-year panel data set consisting of 217 firms reveal that firms in blocks tend to develop similar technology profiles over time. The results further demonstrate that firms located closer to each other in a network (shorter path length) display higher levels of resemblance compared with firms that are farther apart. However, perhaps more importantly and contrary to expectations, our results also show that the length of ties between two firms has a smaller effect on the similarity between their profiles when firms are not members of the same block.
机译：许多组织间网络表现出小规模的性质，因为它们由紧密联系的子网络或块组成，并且跨这些块的关系稀疏，因此，网络中的普通公司与广泛的合作伙伴之间的联系很短。虽然现有文献表明，具有这些属性的网络要优于不具有这些属性的网络，但很少有关于网络内部和跨网络中的企业之间的知识交换过程的实证研究。本文旨在填补生物制药行业企业间技术联盟网络中的空白。从跨时期的角度出发，我们研究了网络中特定的联盟关系如何影响学习和信息流，并因此影响了企业技术概况的共同演化和相似性。在一个由217家公司组成的10年面板数据集上的准最大似然分析结果表明，随着时间的流逝，区块中的公司倾向于发展相似的技术概况。结果进一步证明，与位于较远位置的公司相比，位于网络中彼此靠近的公司（路径长度较短）显示出更高的相似度。但是，也许更重要的是，与预期相反，我们的结果还表明，当公司不是同一区块的成员时，两个公司之间的联系时间长度对其概况之间的相似性影响较小。

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