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Influencing Factors of Scientific and Technological Achievements Transformation from the Perspective of Knowledge Genes |
Jia Yongfei1,2,Guo Yue1 |
(1.Qilu University of Technology (Shandong Academy of Sciences);2.Shandong Institute of Science and Technology Development Strategy, Jinan 250014, China) |
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Abstract The transformation of scientific and technological advancements, as an essential component of innovation, is the key to the transformation from technological advancement into actual productivity in the complex and ever-changing global environment. However, there is a general lack of corresponding business knowledge among researchers in various research institutes and universities worldwide. The problem of low efficiency in the transformation of scientific and technological achievements persists, and the effect of the transformation intermediaries is not obvious. When assessing the influencing variables of the transformation of science and technology achievement, scholars typically use a single subject as the research object and disregard the linkage effect among other subjects. However, in reality, the transformation of scientific and technological achievements is a complex social process that involves numerous links and demands because of the participation of numerous subjects.#br#The knowledge gene theory is thus introduced into the study of the transformation of scientific and technological achievements in order to refine the various aspects of the transformation of scientific and technological achievements, comprehensively identify the influencing factors, and provide countermeasure suggestions for each region to improve the efficiency of the transformation of scientific and technological achievements in a targeted manner. Knowledge gene theory is widely employed in the study of intelligence because it offers interpretable viewpoints and descriptions of knowledge expressions in the processes of knowledge formation, dissemination, organization, and evolution. It is helpful for the exploration of the mechanism of transformation and mutual promotion among science and technology by studying the dissociation and recombination of knowledge genes. This is because scientific and technological achievements are transformed in a way that corresponds to the expression of knowledge genes, making it a special manifestation of knowledge genes. The existing research on the transformation of scientific and technological achievements is not theoretical, systematic, and process-oriented, and these shortcomings are made up by the citation of knowledge gene theory. By analogy with knowledge of gene inheritance and expression, the study considers the four basic elements required for the transformation of scientific and technological achievements: technological DNA, technological RNA, enzymes and technological traits. It also divides the transformation process into five stages: recognition, transcription, translation, combination and diffusion. Then it draws on the panel data from 30 Chinese provinces from 2016 to 2020 as the samples to perform empirical analysis using gray correlation analysis and obstacle degree model. This is done by applying the entropy weight approach to determine the index weights. #br#It is found that, firstly, the extent to which most influencing factors correlate with the expression of dominant technological and scientific traits is higher than that with the expression of recessive technological and scientific traits, indicating that the economic benefits brought by the transformation of technological and scientific achievements in each province at this stage outweigh the social benefits. Secondly, the degrees of association and obstacle strength of each indicator with the expression of scientific and technological traits are relatively stable from 2016 to 2020 in terms of spatial and temporal effects, but there are regional variations in the main factors influencing the expression of scientific and technological traits. Beijing, Shanghai, Jiangsu, Zhejiang, and Guangdong have lower correlation degrees for most indicators #br#with scientific and technological trait expression than other provinces, while Shanxi, Gansu, Yunnan, and Xinjiang often have greater gray correlation coefficients for indicators. Thirdly, the main factor identification reveals that the translation stage has the highest correlation with the expression of dominant scientific and technological traits, while transcription element enzymes have the highest correlation with the expression of recessive scientific and technological traits. #br#The main obstacle factor limiting the transformation of science and technology is the development of combinational and translational activities. Therefore, the regions should first develop reliable institutions for scientific and technological evaluation to enhance the identification of scientific and technological DNA in order to improve the transformation efficiency of scientific and technological achievements. Second, it is important to encourage the application of commercial resources to advances in science and technology, enhance the creation of pilot test links, perform well in terms of quantitative application and concept validation, and conduct pre-commissioning trial production. Last but not least, the government and innovation subjects should step up the promotion of new technologies and goods so that their economic and social values can be realized.#br#
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Received: 05 May 2022
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