情报研究

事件驱动的技术产业化阶段智能识别方法研究

  • 姚占雷 ,
  • 樊亚鑫 ,
  • 许鑫
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  • 华东师范大学经济与管理学院 上海 200062
姚占雷,工程师,硕士,E-mail:zlyao@infor.ecnu.edu.cn;樊亚鑫,硕士研究生;许鑫,教授,博士生导师。

收稿日期: 2023-09-26

  修回日期: 2024-01-15

  网络出版日期: 2024-05-16

基金资助

本文系中央高校基本科研业务费项目华东师范大学青年预研究项目“产业紧缺人才动态识别与智慧情报服务研究”(项目编号:2022ECNU-YYJ015)研究成果之一。

Research the Intelligent Identification for Technology Industrialization Stages with EventDriven Method

  • Yao Zhanlei ,
  • Fan Yaxin ,
  • Xu Xin
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  • School of Economics and Management, East China Normal University, Shanghai 200062

Received date: 2023-09-26

  Revised date: 2024-01-15

  Online published: 2024-05-16

Supported by

This work is supported by Fundamental Research Funds for the Central Universities, Youth Pre-research Project of East China Normal University“Research on Dynamic Identification of Industrial Talent in Shortage & Smart Intelligence Service”(Grant No.2022ECNUYYJ015).

摘要

[目的/意义] 技术产业化所处阶段的不同,对社会资源配置要求不一。技术产业化阶段的智能识别是精准施策的一个前提,能够助力相关部门及时调配社会各方资源,通过科学布局、持续改进等,以加速技术产业化进程。[方法/过程] 首先,基于互联网公开数据,建立全面刻画技术产业化进程中技术与社会交互行为的路径;然后,在此基础上,建构一套事件驱动的技术产业化阶段智能识别方法;最后,选取我国光伏产业中的单晶硅技术产业化案例为实证对象,在验证方法可信的基础上,基于这一典型案例揭示技术产业化各个阶段中技术与社会互动的典型特征,以精细指导做好各类社会资源的有效配置。[结果/结论] 该智能识别方法能够改变既往识别活动的重事后评价等现状,可辅助科技工作者灵敏捕捉不同技术产业化策略的实施时机,进而统筹做好社会资源优化配置,助力加速技术产业化进程。

本文引用格式

姚占雷 , 樊亚鑫 , 许鑫 . 事件驱动的技术产业化阶段智能识别方法研究[J]. 图书情报工作, 2024 , 68(9) : 76 -88 . DOI: 10.13266/j.issn.0252-3116.2024.09.008

Abstract

[Purpose/Significance] The technology industrialization in different stage requires different allocation of social resources. Intelligent identification of the stage is a prerequisite for the precise implementation of policies, which can help relevant departments to promptly allocate resources from all aspects of society. Through scientific planning, continuous improvement, and other measures, it can accelerate the process of technological industrialization.[Method/Process] Firstly, based on open data on the internet, this paper established the interactive path between technology and society in the process of technology industrialization. Secondly, it constructed an event-driven intelligent identification of the stage based on this characterization. Finally, taking the monocrystalline silicon technology industrialization in photovoltaic industry as an example, it verified the reliability of the method, and revealed the typical characteristics, to guide the effective social resource allocations.[Result/Conclusion] Experimental results show that the established intelligent identification can change the previous post-evaluation practice of identification activities, sensitively capture the implementation opportunity of different technology industrialization strategies, scientifically allocate social resources, and accelerate the process of technology industrialization.

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