Based on the development of the non-governmental enterprises of science and technology in the past twenty years, this paper applied an interpretive structure model (ISM) to make a research on the regular development p...Based on the development of the non-governmental enterprises of science and technology in the past twenty years, this paper applied an interpretive structure model (ISM) to make a research on the regular development pattern of these enterprises and to probe into the interior development mechanism theoretically. The studying results supply ideas underlying the scientific decision for the governments at all levels and show the direction of the development of the non-governmental enterprises of science and technology in the future.展开更多
From the perspective of innovation mechanism,capital,personnel,achievements and conversion,this study analyzes the current situation of technological innovation in Beijing agricultural science and technology enterpris...From the perspective of innovation mechanism,capital,personnel,achievements and conversion,this study analyzes the current situation of technological innovation in Beijing agricultural science and technology enterprises,and summarizes the characteristics including single financing channel of R&D funds,low conversion rate of innovative products,unbalanced distribution of technology and innovative talents,the underestimated position of enterprises as the main body of technological innovation,the large gap of innovation achievements between developed provinces and Beijing.At last,this study puts forward the ways to improve technological innovation ability in Beijing agricultural science and technology enterprises as follows:developing technological innovation strategies;improving the R&D expenditure and expanding the financing channels;perfecting the mechanism of professional personnel training in agricultural technology innovation;enhancing the level of innovation performance management;establishing and improving the corporate culture of innovation and cultivating technology innovation spirit.展开更多
Coal occupies a dominant position in China＇s national economy and is an essential energy source for future industrial development. To inform the efficient and sustainable development of the coal industry, this paper ...Coal occupies a dominant position in China＇s national economy and is an essential energy source for future industrial development. To inform the efficient and sustainable development of the coal industry, this paper analyzes the sources of strategic risk for coal science and technology enterprises using 3 first-class indicators, 10 second-level indicators, and 37 observation points established through the existing research literature and experience. Moreover, in accordance to the obtained initial index data, the selected indicators have been tested and screened using reliability and membership degree analyses to remove redundant variables, avoid juxtaposition of risk factors at different levels, and reduce the influ- ence of some tiny risk factors for enterprise strategic risk. Then, factor analysis of external environment factor sub-scale was carried out. Factors are extracted according to a standard characteristic value greater than 1. Variables with high coefficients are classified into one factor category; and finally, 3 first-class indicators. 8 second-level indicators, and 37 observation noints are reconstructed.展开更多
文摘Based on the development of the non-governmental enterprises of science and technology in the past twenty years, this paper applied an interpretive structure model (ISM) to make a research on the regular development pattern of these enterprises and to probe into the interior development mechanism theoretically. The studying results supply ideas underlying the scientific decision for the governments at all levels and show the direction of the development of the non-governmental enterprises of science and technology in the future.
基金Supported by Beijing Natural Science Foundation(9122006)Beijing Social Science Foundation(13JGB041)
文摘From the perspective of innovation mechanism,capital,personnel,achievements and conversion,this study analyzes the current situation of technological innovation in Beijing agricultural science and technology enterprises,and summarizes the characteristics including single financing channel of R&D funds,low conversion rate of innovative products,unbalanced distribution of technology and innovative talents,the underestimated position of enterprises as the main body of technological innovation,the large gap of innovation achievements between developed provinces and Beijing.At last,this study puts forward the ways to improve technological innovation ability in Beijing agricultural science and technology enterprises as follows:developing technological innovation strategies;improving the R&D expenditure and expanding the financing channels;perfecting the mechanism of professional personnel training in agricultural technology innovation;enhancing the level of innovation performance management;establishing and improving the corporate culture of innovation and cultivating technology innovation spirit.
文摘Coal occupies a dominant position in China＇s national economy and is an essential energy source for future industrial development. To inform the efficient and sustainable development of the coal industry, this paper analyzes the sources of strategic risk for coal science and technology enterprises using 3 first-class indicators, 10 second-level indicators, and 37 observation points established through the existing research literature and experience. Moreover, in accordance to the obtained initial index data, the selected indicators have been tested and screened using reliability and membership degree analyses to remove redundant variables, avoid juxtaposition of risk factors at different levels, and reduce the influ- ence of some tiny risk factors for enterprise strategic risk. Then, factor analysis of external environment factor sub-scale was carried out. Factors are extracted according to a standard characteristic value greater than 1. Variables with high coefficients are classified into one factor category; and finally, 3 first-class indicators. 8 second-level indicators, and 37 observation noints are reconstructed.
