ABSTRACT

Existing evidence regarding to innovation process primarily focus on the relationship between specific factor and performance with using empirical model that estimate single equation. Although these have provided useful insights, some concerns remain regarding our understanding of innovation. First, while business does not comprise only one step but several steps that share an organic relationship according to the context, few studies simultaneously reflect and analyse the relationship between factors. Second, few assume that an outcome is related to an input as well as to the effects of the input on the outcome. In this regard, the major attention of this study is to reflect the circulative and interrelationship between R&D, innovation, and productivity. In terms of methodology, we first perform a multiple regression analysis to estimate a single equation, and, subsequently, uses the three-stage least square (3SLS) method to simultaneously estimate the interrelationship between innovation input, innovation, and productivity. As a result, we found that the organic relationship between a firm’s R&D investment, innovation, and productivity leads to a positive effect. Especially, productivity simultaneously exert an influence on an R&D investment under a systemic framework of innovation process. Our findings provide empirically supporting the argument that innovation should be understood as a systemic process.

摘要

有关创新过程的现有证据主要集中在使用估计单个方程的经验模型来研究特定因素与绩效之间的关系。尽管这些提供了有用的见解，但是对于我们对创新的理解仍然存在一些担忧。首先，虽然业务不仅仅包括一个步骤，而是根据环境共享一个有机关系的几个步骤，但是很少有研究能够同时反映和分析因素之间的关系。其次，很少有人假设结果与输入以及输入对结果的影响有关。在这方面，本研究的主要重点是反映研发，创新和生产率之间的循环性和相互关系。就方法论而言，我们首先执行多元回归分析以估计单个方程，然后使用三阶段最小二乘（3SLS）方法同时估计创新投入，创新和生产率之间的相互关系。结果，我们发现企业的R＆D投资，创新和生产率之间的有机关系会产生积极的影响。特别是，生产率在创新过程的系统框架下同时对研发投资产生影响。我们的发现提供了经验支持的论点，即应将创新理解为系统性过程。我们发现，公司的研发投资，创新和生产率之间的有机关系会产生积极的影响。特别是，生产率在创新过程的系统框架下同时对研发投资产生影响。我们的发现提供了经验支持的论点，即应将创新理解为系统性过程。我们发现，公司的研发投资，创新和生产率之间的有机关系会产生积极的影响。特别是，生产率在创新过程的系统框架下同时对研发投资产生影响。我们的发现提供了经验支持的论点，即应将创新理解为系统性过程。