文献速递—从行动者网络角度评价创新生态系统的R&D链接效率

英文题目：An actor-network perspective on evaluating the R&D linking efficiency of innovation ecosystems,

摘要：研究与发展(R&D)是发达国家和发展中国家经济增长的关键因素之一。因此，实施技术创新战略以加速研究和开发已成为各国政府最重要的产业政策之一。创新系统中行为者之间复杂的相互作用对R&D的绩效有很大影响。非常需要一个包含链接活动影响的评估模型。本研究采用行动者网络理论构建了一个三阶段R&D生产框架，强调基础研究阶段、技术转化阶段和系统开发阶段之间的联系活动。此外，网络数据包络分析(DEA)方法被用来评估全球25个国家的相对R&D效率。分析结果在每个子过程中筛选出专门的效率国家，并进一步构建效率群体进行基准学习。这项研究还指出了研究机构对技术商业化的重要性。还强调了网络数据包络分析和行动者网络理论方法在评估R&D活动效率方面的潜在应用。

Abstract: Research and development (R&D) is one of the key factors contributing to the economic growths in both advanced and developing countries. Implementing technological innovation strategies to accelerate the research and development has thus become one of the most important industrial policies for governments. The R&D performance is highly influenced by the complexities of interactions among actors in an innovation system. An evaluation model that incorporates the influence of linking activities is highly desired. This study employed the actor-network theory to construct a three-stage R&D production framework that emphasizes the linking activities among basic research stage, technology translation stage, and system development stage. In addition, the network data envelopment analysis (DEA) method was used to evaluate the relative R&D efficiency across the global twenty-five countries. The analysis results screened out specialized efficient country at each sub-process and further constructed the efficiency group for benchmark-learning. This study also pointed to the importance of the research institution for technology commercialization. The potential application of network DEA and actor-network theory approach in assessing the efficiency of R&D activities were also highlighted.

来源期刊：Technological Forecasting and Social Change，2016年

参考文献格式：Ping-Chuan Chen, Shiu-Wan Hung,An actor-network perspective on evaluating the R&D linking efficiency of innovation ecosystems,Technological Forecasting and Social Change,Volume 112,2016,Pages 303-312,ISSN 0040-1625,https://doi.org/10.1016/j.techfore.2016.09.016.