摘要
为进一步综合研究分析新型研发机构发展策略,以1321家全国新型研发机构为研究对象,在系统总结新型研发机构发展现状的基础上,基于有关文献及有关理论研究,构建新型研发机构核心竞争力六维评价指标体系,通过人工蜂群(ABC)算法优化后的BP神经网络模型对新型研发机构核心竞争力进行评估。结果表明,35.30%的新型研发机构核心竞争力处于较强水平,总体上新型研发机构核心竞争力具有良好的发展基础和前景;新型研发机构主要通过延长创新服务链条、创新科技成果对接机制等策略占据有利的生态位。新型研发机构未来要进一步强化科技人才培养能力,创新企业孵化机制,激发科技金融竞争力来进一步推动新型研发机构高质量发展。
To further comprehensively study and analyze the development strategies of New R&D Institution in innovation ecosystem,1321 New R&D Institutions were randomly selected nation-wide on the basis of systematically summarizing the development status of these New R&D Institutions and relevant literature and theoretical research.A six-dimensional evaluation index system was constructed for the core competitiveness evaluation,and BP neural network model optimized by artificial bee colony(ABC)algorithm was used to evaluate core competitiveness.The results showed that 35.30%of New R&D Institutions core competitiveness was at a strong level.On the whole,the core competitiveness of New R&D Institutions had a good development foundation and prospects.The New R&D Institutions mainly occupy a favorable niche by extending the innovation service chain,innovative scientific and technological achievements docking mechanism and other strategies.In the future,New R&D Institutions should further strengthen the ability of scientific and technological talents cultivation,the business incubation mechanism innovation,and stimulate the competitiveness of science and technology finance to further promote the high-quality development of New R&D Institutions.
作者
陈力
于磊
杭磊
王赫然
沙锐
田满霞
Chen Li;Yu Lei;Hang Lei;Wang Heran;Sha Rui;Tian Manxia(Torch High Technology Industry Development Center,Ministry of Science&Technology,Beijing 100045,China;Fuxin Industrial Technology Innovation Promotion Center,Fuxin 123000,China;High-tech Research and Development Center,National Natural Science Foundation of China,Beijing 100044,China;Hebei Academy of Social Sciences,Shijiazhuang 050051,China;Southwest University of Finance and Economics,Chengdu 611130,China)
出处
《科技管理研究》
2024年第5期65-71,共7页
Science and Technology Management Research
基金
科技部科技创新战略研究专项项目“新型研发机构标准及评价指标体系研究”(ZLY202243)。
