2008European Planning StudiesRequires access

Interaction among High-tech Talent and its Impact on Innovation Performance: A Comparison of Taiwanese Science Parks at Different Stages of Development

Tai-Shan Hu

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Abstract

Numerous studies have studied how knowledge spillovers and various other factors influence industrial clusters in terms of geographical proximity. Related studies have generally confirmed significant positive correlations between firm innovative activities and factors such as spatial proximity and degree of industrial clustering. This study elucidates on an individual level, based on the relationship between proximity dimension and innovative activity, the interactive relationships between the mobility and interaction of high-tech talent and innovation performance. Survey results indicate that the spatial proximity of firms clustering within the Hsinchu and Tainan Science-based Industrial Park increases the interaction among high-tech personnel and the expansion of their professional networks, thus promoting innovation. Gradually organizational and social proximity evolve from physical proximity within high-tech districts via the evolution of industrial networks and interactions among high-tech talent. Additionally survey results demonstrate the value of mobility and informal relationships involving high-tech talent, as well as the effect of these relationships on innovation performance during the various stages of science park development. However, how to avoid lock-in in the future development of high-tech districts remains a critical issue. The results of this investigation provide a useful reference for planning and managing industrial districts.

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Numerous studies have studied how knowledge spillovers and various other factors influence industrial clusters in terms of geographical proximity. Related studies have generally confirmed significant positive correlations between firm innovative activities and factors such as spatial proximity and degree of industrial clustering. This study elucidates on an individual level, based on the relationship between proximity dimension and innovative activity, the interactive relationships between the mobility and interaction of high-tech talent and innovation performance. Survey results indicate that the spatial proximity of firms clustering within the Hsinchu and Tainan Science-based Industrial Park increases the interaction among high-tech personnel and the expansion of their professional networks, thus promoting innovation. Gradually organizational and social proximity evolve from physical proximity within high-tech districts via the evolution of industrial networks and interactions among high-tech talent. Additionally survey results demonstrate the value of mobility and informal relationships involving high-tech talent, as well as the effect of these relationships on innovation performance during the various stages of science park development. However, how to avoid lock-in in the future development of high-tech districts remains a critical issue. The results of this investigation provide a useful reference for planning and managing industrial districts.

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Available abstract

Numerous studies have studied how knowledge spillovers and various other factors influence industrial clusters in terms of geographical proximity. Related studies have generally confirmed significant positive correlations between firm innovative activities and factors such as spatial proximity and degree of industrial clustering. This study elucidates on an individual level, based on the relationship between proximity dimension and innovative activity, the interactive relationships between the mobility and interaction of high-tech talent and innovation performance. Survey results indicate that the spatial proximity of firms clustering within the Hsinchu and Tainan Science-based Industrial Park increases the interaction among high-tech personnel and the expansion of their professional networks, thus promoting innovation. Gradually organizational and social proximity evolve from physical proximity within high-tech districts via the evolution of industrial networks and interactions among high-tech talent. Additionally survey results demonstrate the value of mobility and informal relationships involving high-tech talent, as well as the effect of these relationships on innovation performance during the various stages of science park development. However, how to avoid lock-in in the future development of high-tech districts remains a critical issue. The results of this investigation provide a useful reference for planning and managing industrial districts.

Key concepts: High tech, Science park, Business, Dimension (graph theory), Economic geography, Industrial park, Cluster analysis, Regional innovation system

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