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突击创新的形成及对创新成果作用机制研究
引用本文:俞立平.突击创新的形成及对创新成果作用机制研究[J].科技管理研究,2021(24).
作者姓名:俞立平
作者单位:浙江工商大学 统计与数学学院 杭州 310018
基金项目:学术评价与创新绩效评价问题研究(19FTQB011);浙江省一流学科A类项目(浙江工商大学统计学,管理科学与工程)。
摘    要:突击创新是企业根据自身特点临时加大创新投入,从而取得创新成果的行为,是持续创新的重要补充,而相关领域的研究一直没有得到重视。本文在界定突击创新概念的基础上,从理论上分析了突击创新的形成机制以及对创新成果的作用机制,并基于中国高技术产业统计年鉴,综合采用面板数据模型、面板门槛模型、贝叶斯向量自回归模型进行实证,并基于BP人工神经网络模型进行稳健性检验。研究结果表明:突击创新的出现是一种必然,对科技成果具有明显的作用机制;突击创新对创新成果绩效显著;创新成果较好的企业突击创新绩效最佳;随着突击创新水平的提高其绩效有所降低;应注意持续创新与突击创新的协调。本文开创了突击创新的研究领域,丰富了持续创新理论。

关 键 词:突击创新  持续创新  面板数据  面板门槛模型  贝叶斯向量自回归模型
收稿时间:2021/4/17 0:00:00
修稿时间:2021/12/20 0:00:00

Research on the formation of sudden innovation and the mechanism of its effect on innovation achievementsYU Liping
Abstract:Sudden innovation is the action enterprises take to increase innovation input temporarily according to their own characteristics to acquire innovation achievements, and it is an important supplement to sustainable innovation. However, research in related fields has not been paid enough attention to. On the basis of defining the concept of sudden innovation, this paper theoretically analyzes the formation mechanism of sudden innovation and its effect on innovation achievements. Based on the statistical yearbook of China"s high-tech industry, panel data model, panel threshold model, Bayesian vector autoregression model are used for empirical study, and BP artificial neural network model is used for robustness test. The results show that the emergence of sudden innovation is inevitable and has obvious functionary mechanism for scientific and technological achievements. Sudden innovation has significant effect on innovation achievements. Enterprises with better innovation achievements have the best performance in sudden innovation. With the improvement of the level of sudden innovation, its performance is reducing. Attention should be paid to the coordination between sustainable innovation and sudden innovation. This paper creates the research field of sudden innovation and enriches the theory of sustainable innovation.
Keywords:sudden  innovation  sustainable  innovation  panel  data  panel  threshold model    bayesian  vector autogressive  model
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