Abstract
This study applies a knowledge production function to an empirical analysis of the relationship between innovation and the movement of knowledge workers. In the past, investments in R&D and human resources were used as indices to measure innovation. However, this study analyzes the role that the movement of knowledge workers plays in innovation and the growth of the new corporations that recruited them from mature companies. This study reveals that the fluidity of talent and informal networks play an important role during the process of innovation. The analysis clearly shows that when innovation is measured by number of patents, the contribution of highly experienced and highly specialized researchers from developed countries is especially high. On the other hand, when innovation is measured by patent quality, both the number of researchers and the researchers’ years of experience clearly exhibit positive effects.
Highlights
This study is an empirical analysis of the effect of the movement of human resources on innovation (Griliches, 1990; Pakes & Schankerman, 1984)
Several models related to innovation have been presented, including those that use a knowledge production function to analyze the effect on innovation activities produced by human capital and investment in R&D
In contrast to an analysis of the impact of R&D investment on innovation, such as by using the knowledge production function, this study analyzes the impact of the transfer of technology and knowledge on innovation in a corporation caused by the migration of knowledge workers who previously held positions at mature enterprises
Summary
This study is an empirical analysis of the effect of the movement of human resources on innovation (Griliches, 1990; Pakes & Schankerman, 1984). A number of indices representing the quality of the talent are established to analyze the role played by the movement of knowledge workers, which in turn creates the spillover of knowledge by these migrating researchers and influences the innovation and growth of their new companies One of these indices is the social network index. By observing the centrality index of each node, one can analyze the characteristics and roles of each node in the overall network This analysis is carried out using data about researchers who migrated from developed countries to emerging nations to investigate what types of positions they held in their old companies to determine what they can contribute to innovation at their new workplace in a different country after their migration. This study quantitatively analyzes the relationship among social networks and the career change of individual researchers, mobility of talent, and innovation
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