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| Research on the Engineering System of Innovation Intelligence Based on New Quality Productive Forces: A Case Study of the International Innovation Industry Information Service Platform |
| Kang Chunhua1, Lu Chunjiang1, Lin Xin2, Yuan Wei3 |
1.Shenzhen State High-tech Industrial Innovation Centre, Shenzhen 518063
2.School of Information Management, Central China Normal University, Wuhan 430079
3.China Society for Scientific and Technical Information, Beijing 100038 |
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Abstract To promote the high-quality development of innovation intelligence, the research on the engineering system of innovation intelligence based on new quality productive forces must be strengthened. This study begins by analyzing the bidirectional empowerment relationship between new quality productive forces and innovation intelligence: on the one hand, new quality productive forces enhances the efficiency of innovation intelligence work, and on the other hand, innovation intelligence contributes to the cultivation and development of new quality productive forces. Building on the construction and operational practices of the International Innovation Industry Information Service Platform, this study explores the architectural framework of an engineering system for innovation intelligence aimed at new quality productive forces. The framework is elaborated through its key components and interrelationships across four layers: resource, middle platform, service, and support. Finally, the study proposes strategies to advance the engineering system of innovation intelligence based on new quality productive forces, focusing on six aspects: deepening the theoretical and methodological system of innovation intelligence based on new quality productive forces; exploring engineering paradigms for innovation intelligence through domestic and international practices; developing knowledge organization tools for innovation intelligence based on large language models; forging high-quality innovation intelligence service tools based on “high-end exchange platforms”; building an industrial development ecosystem for innovation intelligence within the modern industrial system; and cultivating innovation intelligence talent with engineering capabilities.
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Received: 08 January 2025
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