ABSTRACT

This paper highlights an effect of firms’ strategic mix in research and development (R&D) collaboration shown by their accumulated collaboration behaviours on efficiency, which has not received proper attention in the literature, which has focused on network effects – size, diversity – assuming homogeneity of partners. With a strategic perspective, we try to catch differences among partner portfolios at the level of collaboration types. We cluster firms into strategic groups by using the K-means clustering technique based on the firms’ R&D partner selection portfolios and estimate each group’s frontier function and meta-frontier function to measure each firm’s technical efficiency and technology gap ratio. We conduct multiple regressions to identify the factors affecting firms’ efficiency and found there can be a significant difference in firms’ efficiency given the same amount of input when firms have evolved toward different strategic groups determined by their accumulated R&D partner portfolios. The effects can also vary by firms’ R&D scales, sizes, and the industries to which they belong. The current study contributes to enriching the empirical bodies in the strategic group and innovation studies and by giving managerial implications to corporate leaders and policymakers for the smart strategic mix in selecting R&D collaboration partners.

摘要

本文重点介绍了企业在研发（R＆D）合作中的战略组合对企业累积的合作行为对效率的影响，这在文献中并未得到应有的重视，而文献集中在网络效应（规模，多样性）（假设同质性）上。合作伙伴。从战略角度来看，我们尝试在协作类型级别上捕获合作伙伴投资组合之间的差异。我们使用基于公司研发合作伙伴选择投资组合的K-means聚类技术，将公司分为战略组，并估计每个组的前沿功能和元前沿功能，以衡量每个公司的技术效率和技术差距比。我们进行了多元回归分析，以确定影响企业效率的因素，并发现，当企业向由积累的研发合作伙伴投资组合决定的不同战略集团发展时，如果投入相同的投入，企业效率可能存在显着差异。影响还可能因公司的研发规模，规模和所属行业而异。本研究有助于丰富战略小组和创新研究中的经验机构，并为企业领导者和决策者在选择研发合作伙伴时明智的战略组合提供管理方面的意义。影响还可能因公司的研发规模，规模和所属行业而异。本研究有助于丰富战略小组和创新研究中的经验机构，并为企业领导者和决策者在选择研发合作伙伴时明智的战略组合提供管理方面的意义。影响还可能因公司的研发规模，规模以及所属行业而异。本研究有助于丰富战略小组和创新研究中的经验机构，并为企业领导者和决策者在选择研发合作伙伴时明智的战略组合提供管理方面的意义。