管理评论 ›› 2022, Vol. 34 ›› Issue (2): 126-141.

• 技术与创新管理 • 上一篇    下一篇

数字驱动下多元时间知识创造的海洋模型:概念、内涵与理论验证

覃大嘉1, 施怡1, 钱箴2,3   

  1. 1. 浙江工业大学管理学院, 杭州 310023;
    2. 中国科学院数学与系统科学研究院, 北京 100190;
    3. 中国科学院大学经济与管理学院, 北京 100190
  • 收稿日期:2021-01-19 出版日期:2022-02-28 发布日期:2022-03-24
  • 通讯作者: 覃大嘉(通讯作者),浙江工业大学管理学院教授,博士生导师,博士
  • 作者简介:施怡,浙江工业大学管理学院博士研究生;钱箴,中国科学院数学与系统科学研究院和中国科学院大学经济与管理学院博士研究生
  • 基金资助:
    长春市新东方培训学校组织能力和干部领导力提升项目(SKY-HY-20200193);中国企业管理研究会组织领导力提升项目(SKY-HY-20210188)。

A Digital-driven OCEAN Model of Polychronic Knowledge Creation: Concept, Connotation and Theory Validation

Chin Tachia1, Shi Yi1, Qian Zhen2,3   

  1. 1. School of Management, Zhejiang University of Technology, Hangzhou 310023;
    2. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190;
    3. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
  • Received:2021-01-19 Online:2022-02-28 Published:2022-03-24

摘要: 新时代数字技术发展不断突破原有的时间和空间界限,组织跨境商业模式中的知识创造与异质的社会文化因素相交织,呈现出难以预测的动态模式。由于已有相关理论存在的情境局限性,本研究聚焦于受新现象驱动而提出的多元时间知识创造海洋模型,并对其进行概念、内涵的深入阐述与逻辑推演。同时,本研究以重大公共卫生事件下六个国家的新知识创造作为案例,基于牛津大学COVID-19政府响应追踪系统(OxCGRT)的数据,按照质性研究思路对海洋模型进行理论验证。研究结果证实了海洋模型三阶段在实践层面的有效性。本文的主要贡献在于呼应现象驱动研究,探讨了重大现象和议题背后的基础理论问题;使用结合大数据的系统性分析方法,对知识创造海洋模型进行了首次实证检验;促进了跨文化管理、知识管理、危机管理等学科的交叉与融合发展;为分析和解决跨文化情境的知识创造问题提供理论依据和实践参考。

关键词: 文化, 知识创造, 知识管理, 冰山理论, 商业模式

Abstract: In the new era, the development of digital technology continues to break through the original time and space boundaries, and the knowledge creation of business models among cross-border organizations interweaves with diverse and heterogeneous social and cultural factors, presenting an unpredictable, dynamic pattern. Given the contextual limitations of exiting theories, this study proposes a new phenomenon-driven OCEAN model of polychronic knowledge creation, based on which we further conduct in-depth elaboration and logical reasoning on its conceptualization and connotation. Meanwhile, in light of the qualitative method, this study uses big data from the Oxford COVID-19 Government Response Tracker (OXCGRT), identifying new knowledge-creating activities in six countries under the global public health emergency, so as to validate the theory of our proposed OCEAN model. The results verify the effectiveness of the three stages of the OCEAN model at the practical level. The main contributions of this study are as follows: First, this study echoes the phenomenon-driven research that explores the fundamental theoretical problems behind the major phenomena and issues. Second, it combines the use of big data with systematic analytical methods, achieving the first empirical validation of the OCEAN model. Third, it promotes the interdisciplinary development of cross-cultural management, knowledge management, risk management and other disciplines. Last, it provides theoretical basis and practical references for analyzing and solving problems related to knowledge creation in cross-cultural contexts.

Key words: culture, knowledge creation, knowledge management, iceberg theory, business model