Technological Forecasting & Social Change Government roles in evaluation and arrangement of R & D consortia
Technological Forecasting & Social Change Government roles in evaluation and arrangement of R & D consortia
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技术预测
DOI：
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发表时间：
2014
期刊：
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通讯作者：
Jae
中科院分区：
文献类型：
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作者：
J. Kim;S. Bae;Jae
文章历史记录：2014年1月23日收到修订版2014年5月31日接受2014年6月28日在线2014年7月26日政府在组建和协调研发联盟中的作用经常被引用在韩国和日本等后发国家的经济成功研究中。以前的大多数研究都记录了政府提供资金的努力。在我们的研究政府的作用，在确定创新的质量，我们开发了一个计算模型的基础上遗传算法。本研究探讨的政府参与的两个主要方面是：1）对参与企业进行评估的时机，以及2）这些财团采取的形式。在评估的时机方面，我们发现持续评估始终上级早期评估。此外，联合体形式的效果取决于评估的时机。一个倒金字塔的安排，它强调在创新过程的开始变化，优于一个单一的形式安排，只有当评估是连续的。我们确定多样性和选择之间的紧张关系和和解作为本研究结果的基础力量。我们讨论了这些发现及其对政府在设计创新体系时如何平衡多样性和选择的影响。© 2014爱思唯尔公司All rights reserved.
Article history: Received 23 January 2014 Received in revised form 31 May 2014 Accepted 28 June 2014 Available online 26 July 2014 The role of government in forming and coordinating R&D consortia has often been cited in studies of the economic success of latecomer countries such as Korea and Japan. Most previous studies documented the government's efforts to provide funding. In our research about the government's role in determining the quality of innovation, we develop a computational model based on genetic algorithms. The two main aspects of government involvement explored in this study are 1) the timing of evaluation of participating firms in a consortium, and 2) the form that these consortia take. In terms of the timing of evaluation, we find that continuous evaluation is consistently superior to early evaluation. In addition, the effect of the form of the consortium depends on the timing of evaluation. An inverse pyramid arrangement, which emphasizes variation at the beginning of the innovation process, outperforms a pyramid-form arrangement only when evaluation is continuous. We identify the tension and reconciliation between diversity and selection as the force underlying the results of this study. We discuss these findings and their implications for how governments should balance diversity and selection when designing innovation systems. © 2014 Elsevier Inc. All rights reserved.
DOI：
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发表时间：
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期刊：
Technological Forecasting ＆ Social Change (in press)
影响因子：
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作者：
Y. Takeda;S. Mae;Y. Kajikawa;K. Matsushima;Yuya Kajikawa et al.
通讯作者：
Yuya Kajikawa et al.