| 张伟然,王超,许海云,武华维,李欣.创新全过程视角下产学研创新团队潜在合作对象识别方法研究[J].情报工程,2024,10(3):028-048 |
| 创新全过程视角下产学研创新团队潜在合作对象识别方法研究 |
| Researching the Methodology for Identifying Domain Potential Collaborative Entities from the Perspective of Innovation Process |
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| DOI：10.3772/j.issn.2095-915X.2024.03.003 |
| 中文关键词: 合作对象；创新过程；创新生态系统；多层网络；产学研 |
| 英文关键词: Cooperation Partners; Innovation Process; Innovation Ecosystems; Multi-layer Network; Industry-Academia-Research |
| 基金项目:国家自然科学基金项目“基于弱信号时效网络演化分析的变革性科技创新主题早期识别方法研究”（72274113）；山东省自然科学基金项目“基于弱信号分析的变革性创新主题早期识别方法研究”（ZR202111130115）。 |
| 作者 | 单位 | | 张伟然 | 齐鲁工业大学（山东省科学院）科技发展战略研究所 济南 250000 | | 王超 | 山东理工大学管理学院 淄博 255000 | | 许海云 | 山东理工大学管理学院 淄博 255000 | | 武华维 | 西北师范大学档案馆 兰州 730070 | | 李欣 | 山东理工大学管理学院 淄博 255000 |
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| 中文摘要: |
| [目的/意义]识别领域不同创新环节中的潜在合作对象，形成贯穿基础研究、应用研究与产业应用的多环节与多主体的产学研创新协同团队，助力科技创新及成果转移转化。[方法/过程]基于创新全过程视角，从产业机构出发，构建产业－技术－科学机构的多层网络分析模型，识别不同创新层中产学研机构的潜在合作对象。以中国干细胞研究领域为对象进行实证研究，验证了方法的可行性与有效性。[结果/结论]创新全过程视角下潜在合作对象识别方法突破了单一视角识别合作对象的局限性，实现了不同创新环节间创新主体潜在合作对象的识别，为创新生态下各主体识别与自身需求更匹配的合作伙伴提供了理论支撑与实践启示。 |
| 英文摘要: |
| [Purpose/Significance] This study aims to facilitate scientific and technological innovation and the transfer of achievements by establishing a collaborative ecosystem that spans basic research, applied research, and industrial applications within the industry-university-research framework. The primary objective is to identify potential partners across various stages of innovation. [Methods/Processes] Employing a holistic innovation process approach, this research constructs a multi-layer network analysis model encompassing industry, technology and scientific institutions. The model facilitates the identification of potential partners within the industry-university-research nexus across diverse innovation tiers. To validate the feasibility and efficacy of the proposed method, an empirical study centered on stem cell research in China is conducted. [Results/Conclusions] The innovative approach of identifying potential cooperative partners across the entire innovation process surpasses the limitations of one-dimensional analyses, enabling the recognition of potential partners amidst different innovation stages. The resulting partnerships, rooted in a deep understanding of collaborative needs, offer both theoretical and practical support for advancing scientific and technological innovation. |
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