农业图书情报学报 ›› 2024, Vol. 36 ›› Issue (6): 88-101.doi: 10.13998/j.cnki.issn1002-1248.23-0560

• 研究论文 • 上一篇    下一篇

协同知识管理能力对新型智库智慧服务创新的作用机理及仿真研究

刘春艳1, 周彤2   

  1. 1. 黑龙江大学 信息管理学院,哈尔滨 150080
    2. 哈尔滨金融学院,哈尔滨 150030
  • 收稿日期:2023-09-01 出版日期:2024-06-05 发布日期:2024-09-30
  • 作者简介:

    刘春艳(1971- ),女,教授,硕士生导师,博士,研究方向为知识管理与情报服务

    周彤(1995- ),女,硕士研究生,研究方向为信息分析与情报服务

  • 基金资助:
    高等教育2023年度黑龙江省教育科学规划重点课题“高校教育智库知识服务模式创新与实践路径研究”(GJB1423250); 2023年黑龙江省社科基金党的二十大精神专题项目“总体国家安全观下城市大数据安全风险评估与能力提升路径研究”(23TQA033)

Action Mechanism and Simulation Research on Collaborative Knowledge Management Capability to Innovate Smart Services of New Think Tanks

Chunyan LIU1, Tong ZHOU2   

  1. 1. School of Information Management, Heilongjiang University, Harbin 150080
    2. Harbin Institute of Finance, Harbin 150030
  • Received:2023-09-01 Online:2024-06-05 Published:2024-09-30

摘要:

[目的/意义] 分析协同知识管理能力对新型智库智慧服务创新的作用机理,明晰新型智库智慧服务创新的内在动力来源及主要驱动方式,从协同知识管理的角度揭开新型智库智慧服务创新内部作用“黑箱”,提升新型智库智慧服务创新实践。 [方法/过程] 基于知识生态理论辨析新型智库协同知识管理能力构成要素,厘清这些要素如何驱动新型智库智慧服务创新,构建协同知识管理能力对新型智库智慧服务创新的作用模型,运用系统动力学方法进行仿真分析和灵敏度分析。 [结果/结论] 研究结果表明:协同知识能力、协同支持能力、协同管理能力对新型智库智慧服务创新产生不同程度的作用效果,其中协同知识能力是影响新型智库智慧服务创新水平的关键因素。

关键词: 知识生态, 协同知识管理, 新型智库, 智慧服务创新, 系统动力学

Abstract:

[Purpose/Significance] This study aims to analyze the mechanism of collaborative knowledge management capability on the innovation of new think tank smart services, clarify the internal driving force and main methods of providing innovative new think tank smart services, and uncover the internal role "black box" of innovation in new think tank smart services from the perspective of collaborative knowledge management, in order to enhance the innovative new think tank smart services. The contribution of the article lies in the construction of a model for understanding the role of collaborative knowledge management capability in providing the innovative new think tank smart services. The impact of collaborative knowledge management capability on the innovation of new think tank smart services is a complex dynamic process that requires continuous investment of multiple forces and energy. Through system dynamics simulation, it is possible to observe which key factors should be emphasized in long-term development, providing reference basis for organizational development. [Method/Process] This article takes knowledge ecology as the theoretical support, analyzes the composition of collaborative knowledge management capability and its mechanism of action on innovative smart services in new think tanks, and uses system dynamics methods to construct a model of the effect of collaborative knowledge management capability on innovative smart services in new think tanks. It simulates and analyzes the dynamic changes in the impact of each capability on innovative smart services, providing reference for the development of innovative smart services in new think tanks, simultaneously expanding the research perspective of new think tank smart services. [Results/Conclusions] The results show that collaborative knowledge ability, collaborative supporting ability and collaborative management ability have different effects on the smart service innovation of new think tanks, and collaborative knowledge ability is the key factor affecting the smart service innovation level of new think tanks. This article cannot cover all collaborative knowledge management capabilities in the classification of collaborative knowledge management capabilities. In the future research, it is necessary to explore their impact on the innovation of new think tank smart services from a more comprehensive and representative perspective.

Key words: knowledge ecology, collaborative knowledge management, new think tanks, smart service innovation, system dynamics

中图分类号:  G203

引用本文

刘春艳, 周彤. 协同知识管理能力对新型智库智慧服务创新的作用机理及仿真研究[J]. 农业图书情报学报, 2024, 36(6): 88-101.

Chunyan LIU, Tong ZHOU. Action Mechanism and Simulation Research on Collaborative Knowledge Management Capability to Innovate Smart Services of New Think Tanks[J]. Journal of Library and Information Science in Agriculture, 2024, 36(6): 88-101.