数据与计算发展前沿 ›› 2021, Vol. 3 ›› Issue (2): 23-28.

doi: 10.11871/jfdc.issn.2096-742X.2021.02.004

• 管理决策与智能应用专刊 • 上一篇    下一篇

数字化知识管理理论与应用研究综述

张兮1,*(),李玉龙1(),成一航1,*(),祝恒书2()   

  1. 1.天津大学管理与经济学部，天津 300072
    2.百度公司，北京 100085
  • 收稿日期:2021-03-05 出版日期:2021-04-20 发布日期:2021-05-18
  • 通讯作者: 张兮,成一航
  • 作者简介:张兮,天津大学管理与经济学部,教授,博士生导师,主要研究方向为知识管理、大数据分析。
    本文承担工作为：数字化知识管理框架的整体结构设计,研究方向凝练,论文写作。
    ZHANG Xi,Ph.D., is a Professor in the College of Management and Economics (CoME), Tianjin University. His research focuses on knowledge management, and big-data analytics.
    In this paper, he is responsible for the paper structure organization, concretion of the research direction, and paper writing.
    E-mail: jackyzhang@tju.edu.cn|李玉龙,天津大学经济与管理学部,在读硕士研究生,主要研究方向为数字化场景的知识管理。
    本文承担工作为：数字化知识管理研究调研,论文写作。
    LI Yulong is a master student in the Coll-ege of Management and Economics, Tianjin University. His research interest includes knowledge management in the digital environment.
    In this paper, he is responsible for the research review of digital knowledge management and paper writing.
    E-mail: lyl_1285232254@tju.edu.cn|成一航,天津大学管理与经济学部,在读博士,主要研究方向为数字化场景的知识管理和数据挖掘。
    本文承担工作为：方法设计,论文写作。
    CHENG Yihang is a PhD candidate in the College of Management and Economics, Tianjin University. His research interest includes knowledge management in the digital environment and data mining.
    In this paper, he is responsible for the design of research method, and paper writing.
    E-mail: chengyihang@tju.edu.cn|祝恒书,百度公司数据科学家,博士,主要研究方向为数据挖掘和机器学习。
    本文承担工作为：论文布局,研究指导,论文写作。
    ZHU Hengshu, Ph.D., is a principal archi-tect & scientist at Baidu Inc. His research interests are data mining and machine learning.
    In this paper, he is responsible for the paper structure organization, research guidance, and paper writing.
    E-mail: zhuhengshu@baidu.com
  • 基金资助:
    国家重点研发计划项目“合成生物学生物安全研究”(2020YFA09088600);国家优秀青年科学基金项目“基于社交媒体的知识管理”(71722005);国家自然科学基金面上项目“分布式软件研发中跨团队合作的内隐协调机制研究”(71571133);天津市杰出青年科学基金“基于多源大数据的知识计算理论与方法研究”(18JCJQJC45900);国家自然科学基金重大项目“互联网背景下金融创新与风险管理若干基础理论与方法”(71790590);国家自然科学基金重大项目“互联网背景下金融创新与风险管理若干基础理论与方法”(71790594)

Framework, Theory, and Practice of Digitalized Knowledge Management: A Survey

ZHANG Xi1,*(),LI Yulong1(),CHENG Yihang1,*(),ZHU Hengshu2()   

  1. 1. College of Management and Economics, Tianjin University, Tianjing 300072, China
    2. Baidu Inc, Beijing 100085, China
  • Received:2021-03-05 Online:2021-04-20 Published:2021-05-18
  • Contact: ZHANG Xi,CHENG Yihang

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摘要：

【目的】随着人工智能、大数据和数字化技术的发展,作为提升组织竞争优势的重要手段之一——知识管理展现了数字化的特征。本文为科研人员提供了一个比较全面的数字化知识管理介绍,便于大家进行理论创新研究和应用。【文献范围】本文采用关键词法广泛查阅国内外数字化知识管理的最新研究方向和成果。【方法】本文在阅读大量数字化知识管理文献的基础上,对该领域的研究和应用进行回顾,对当前数字化知识管理的研究动态进行分析,并展望未来发展趋势。【结果】本文分析了数字化知识管理的框架,数字化知识管理的理论——知识定义拓展、数字化技术和影子学习,数字化知识管理的实践——数字化技术驱动的知识创造过程、元知识构建知识网络和数字化知识存储与重用。【结论】数字化知识管理在理论上已经有了初步的发展,随着我国数字化进程的加速和中国企业数字化转型的蓬勃发展,一批前沿原创的数字化知识管理技术在中国企业中迅速应用,为中国情景下开展数字化知识管理前沿理论和技术研究提供了肥沃土壤。

关键词: 数字化知识管理, 知识创造过程, 元知识, 知识网络, 知识存储与重用, 影子学习

Abstract:

[Objective] With the development of artificial intelligence, big data and other digital technologies, knowledge management, as one of the important ways to sustain the competitive advantage of organization, shows the digital characteristics. This paper provides a comprehensive introduction of digitalized knowledge management for researchers, analyzes recent achievements, and foresees the future development trends. [Coverage] This paper gives an extensive review of the latest research of digitalized knowledge management with the method of searching by key terms. [Methods] Based on a large number of digitalized knowledge management literature, this paper retrospects the research fields and corresponding applications, analyzes the current development trends of digitalized knowledge management, and proposes some future development trends. [Results] This paper analyzes the framework, theories, and practices of digitalized knowledge management. Theories include expanding definition of knowledge, digital technologies, and shadow learning; Practices cover intelligent knowledge creation process, knowledge network construction with meta-knowledge, and the digitalized knowledge storage and reuse. [Conclusions] Digitalized knowledge management already have the preliminary development in theories. With the acceleration of digital process and the digital transformation in China, there is the proliferation of innovative digitalized knowledge management applications, which could provide many chances for advanced research about theory and technology.

Key words: digitalized knowledge management, knowledge creation process, meta-knowledge, knowledge network, knowledge storage and retention, shadow learning