Abstract
This study discusses the effects of the technology gap and government financial support on the success of R&D in disruptive innovation and will examine the conceptual model with the Korean national data of the technology innovation for small and medium-sized enterprises (SMEs) collected from 8,000 manufacturers in the high-tech industry in 2020 and 2021. Asymmetries in technological capabilities give rise to asymmetries in labour productivity, which is defined as the value of sales divided by the number of employees (Cimoli et al., 2019), or in the manufacturing capabilities and resources to deal with high technology. Products differ based on their technological intensity. It is assumed that the higher the technological intensity of the product, the higher the impact of technological capabilities on labour productivity (Filippetti and Peyrache, 2015). This implies that the difference in labour productivity between a country and the advanced countries that the country trades increase with the technological intensity of the product. This study focuses on government innovative support policies including the policy-level plan for industrial disruptive technology innovation and government support policies for technology innovation in the manufacturing sector which are national science and technology policies that can improve the innovation performance of firms and reduce the technology gaps against competitor countries.
The conceptual model of this study is developed based on the causal relationships among the technology gap, government financial support, technological innovation activities of the firm and innovation performance of the firm as R&D success and profitability through technical innovation. Independent variables are the technology gap between competitive countries in the manufacturing sector, government support policies, technological innovation activities of the firm and the characteristics of the firm. The dependent variables of the model are innovation performance. It consists of R&D success and profitability through technological innovation.
This study will use the data the technology innovation for small and medium-sized enterprises (SMEs) collected from 8,000 manufacturers in the high-tech industry in 2020 and 2021, in Korea. The data will be analyzed with zero-inflated negative binomial regression.