知识科学与知识工程

虚拟网络组织的知识动员机制——基于组织混合性和流动性视域

  • 张俊 ,
  • 吴珊珊 ,
  • 周鹏 ,
  • 张佶 ,
  • 姚伟
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  • (天津科技大学 经济与管理学院,天津 300222)
张俊(1976—),男,湖南湘潭人,博士,天津科技大学经济与管理学院副教授,研究方向为知识管理与创新;吴珊珊(1999—),女,黑龙江鹤岗人,天津科技大学经济与管理学院硕士研究生,研究方向为知识管理与创新;周鹏(1998—),男,湖北襄阳人,天津科技大学经济与管理学院硕士研究生,研究方向为知识管理与创新;张佶(1998—),男,河北唐山人,天津科技大学经济与管理学院硕士研究生,研究方向为知识管理与创新;姚伟(1979—),男,天津人,博士,天津科技大学经济与管理学院教授,研究方向为知识管理与创新。本文通讯作者:周鹏。

收稿日期: 2023-11-10

  修回日期: 2024-01-29

  网络出版日期: 2025-04-02

基金资助

国家社会科学基金项目(18BTQ032)

Knowledge Mobilization Mechanism in Virtual Network Organization: The Perspectives of Organization-Based Organization Hybridity and Fluidity

  • Zhang Jun ,
  • Wu Shanshan ,
  • Zhou Peng ,
  • Zhang Ji ,
  • Yao Wei
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  • (School of Economics and Management,Tianjin University of Science and Technology, Tianjin 300222,China)

Received date: 2023-11-10

  Revised date: 2024-01-29

  Online published: 2025-04-02

摘要

虚拟网络组织混合性与流动性特征对组织知识管理带来挑战。因此,基于组织混合性和流动性特征分别构建基于共享知识库的简单知识动员机制,以及展现知识全生命周期变化以及组织成员行为感知状态的复杂知识动员机制。在此基础上,提出知识动员机制发挥最大效能的4点实践策略,包括减少知识偏差、增强知识韧性、关注强弱联系与合理运用数字技术。知识动员机制构建充分利用组织混合性和流动性带来的多元化知识资源优势,同时,规避组织特性带来的低预测性、不稳定性等不足,对虚拟网络组织解决现存问题、实现组织知识跨界融合与衍生、提升组织核心竞争力等具有重要价值和意义。

本文引用格式

张俊 , 吴珊珊 , 周鹏 , 张佶 , 姚伟 . 虚拟网络组织的知识动员机制——基于组织混合性和流动性视域[J]. 科技进步与对策, 2025 , 42(6) : 120 -129 . DOI: 10.6049/kjjbydc.2023110294

Abstract

Along with the rise of intelligent knowledge production and the intelligent knowledge economy, virtual network organizations that unite resources such as knowledge, technology, capital, market and management have emerged. They form new cooperation mechanisms that allow participating enterprises to access their own resources that they don't have and provide members of the organization with space and time to engage in the field of knowledge excavation, acquisition and innovation. However, problems occur, such as imperfect knowledge-sharing mechanisms, inefficient knowledge transformation, low sensitivity of members' perceived needs, delayed information feedback, and impediments to collaborative communication. A virtual network organization is characterized by hybridity and fluidity, and they pose challenges for the organization while at the same time raising the complexity of knowledge management for the organization. Therefore, it is necessary to formulate a good strategic plan for knowledge management as well as a perfect operational mechanism, explore how to use the mechanism to solve the problems, enhance the core competitiveness of the virtual network organization, and strengthen its sustainability.
This paper constructs a simple knowledge mobilization mechanism based on shared knowledge base and a complex knowledge mobilization mechanism that shows the changing state of knowledge life cycle and the perceived state of organizational members' behaviors based on the characteristics of organizational hybridity and fluidity. The simple mobilization mechanism focuses on the creation of a shared knowledge base in virtual space to achieve the goal of knowledge sharing and value co-creation. The mechanism opens up new opportunities for shared learning and value co-creation, facilitating the generation of transparency, multidimensional awareness and trust through continuous knowledge accumulation and automated knowledge navigation functions, enabling the continuous development of managerial control and governance mechanisms, and avoiding the sub-optimization of knowledge flows. The complex knowledge mobilization mechanism maps the knowledge resources in the physical space and the perceived needs of the organization members into the virtual space through the integration of the virtual and real space, so that the knowledge, wisdom, experience and consciousness have reproducibility, reconfigurability and traceability, and the changing state of the knowledge as well as the behavioral and cognitive state of the organization members can be investigated to realize the interactive feedback of the virtual and real space, the fusion of the knowledge value and the analysis of the perceptions. The complex mobilization mechanism is based on the enhancement and improvement of simple mobilization mechanism. The two types of mobilization mechanisms strengthen inter-organizational connections and interactions, emphasize the value consensus among organizational members, and promote knowledge creation at the individual, organizational and cross-organizational levels through the integration of different types of knowledge and the interaction of multiple knowledge transformation modes. They help to realize the transformation of individual knowledge into organizational knowledge which is then transformed into organizational actions, and provide intelligent and collaborative knowledge services for organizational members to satisfy the individualization of organizational members, ubiquity and agility requirements of organizational members, and promote the development of virtual network organization.
Due to the complexity of the environment in which the virtual network organization is located and the variability of the network environment, feedback data can be systematically analyzed with timely decision-making adjustments to the mobilization mechanism. Virtual network organizations should choose simple/complex mobilization mechanisms according to their own positioning and needs. The construction of knowledge mobilization mechanism needs to examine the flow and integration of organizational knowledge from multiple perspectives, through reducing the phenomenon of knowledge bias, enhancing knowledge resilience, upgrading the "strong" and "weak" links, and rationally applying digital technology to gradually improve the knowledge resource processing system, perception system and security system in the virtual network organization, so as to extend the value of knowledge and make it tangible, and to provide members of the organization with better knowledge services to achieve the purpose of constructing the knowledge mobilization mechanism. The construction of an organizational knowledge mobilization mechanism promotes the knowledge service effectiveness of virtual network organizations, provides a strategy for solving problems in the process of knowledge management in virtual network organizations, and provides a new development direction for the way of realizing the value of knowledge, which has certain theoretical and practical value.

参考文献

[1] 童露,徐秀美,俞锦.新消费背景下需求识别、虚拟网络组织与企业动态能力——以网易严选和京东京造为例[J].产经评论,2020,11(4):48-62.
[2] 张保仓,任浩.虚拟组织知识资源获取对持续创新能力的作用机制研究[J].管理学报,2018,15(7):1009-1017.
[3] GANGULY A,TALUKDAR A,CHATTERJEE D.Social capital, knowledge quality, knowledge sharing, and innovation capability:an empirical study of the Indian pharmaceutical sector[J]. Knowledge and Process Management,2020,27(1):25-42.
[4] 喻登科,张婉君.企业组织知性资本、知识管理能力与开放式创新绩效[J].科技进步与对策,2022,39(9):122-131.
[5] VAN BILJON J. Knowledge mobilization of human–computer interaction for development research: core issues and domain questions[J]. Information Technology for Development, 2020, 26(3): 551-576.
[6] COOPER A, RODWAY J, READ R. Knowledge mobilization practices of educational researchers across Canada[J]. Canadian Journal of Higher Education, 2018, 48(1): 1-21.
[7] ROWLAND P, TAVARES W, LOWE M, et al. Rapid knowledge mobilization and continuing professional development: educational responses to Covid-19[J]. Journal of Continuing Education in the Health Professions, 2022, 42(1): 66-69.
[8] BAGGA S K, GERA S, HAQUE S N. The mediating role of organizational culture: transformational leadership and change management in virtual teams[J]. Asia Pacific Management Review, 2023, 28(2): 120-131.
[9] LAIHONEN H, KOKKO P. Knowledge management and hybridity of institutional logics in public sector[J]. Knowledge Management Research & Practice, 2023, 21(1): 14-28.
[10] D'ARMAGNAC S,GERAUDEL M,SALVETAT D.Knowledge sharing in a coopetition project team:an institutional logics perspective[J].Strategic Change,2019,28(3):217-227.
[11] PERKMANN M, MCKELVEY M, PHILLIPS N. Protecting scientists from Gordon Gekko: how organizations use hybrid spaces to engage with multiple institutional logics[J]. Organization Science, 2019, 30(2): 298-318.
[12] SCHREYOGG G,SYDOW J.Crossroads—organizing for fluidity dilemmas of new organizational forms[J]. Organization Science, 2010, 21(6): 1251-1262.
[13] PESCH R, ENDRES H, BOUNCKEN R B. Digital product innovation management: balancing stability and fluidity through formalization[J]. Journal of Product Innovation Management, 2021, 38(6): 726-744.
[14] GREENWOOD R, DAZ A M, LI S X, et al. The multiplicity of institutional logics and the heterogeneity of organizational responses[J]. Organization Science, 2010, 21(2): 521-539.
[15] 姚伟,张开华,刘杰,等.创新驱动下的知识动员活动模型[J].情报理论与实践,2017,40(12):88-93.
[16] 胡昭阳.虚拟组织概念及沟通问题探讨[J].新闻与传播研究,2015,22(4):110-117.
[17] DAVIS J P, AGGARWAL V A. Knowledge mobilization in the face of imitation:mcrofoundations of knowledge aggregation and firm-level innovation[J]. Strategic Management Journal, 2020, 41(11): 1983-2014.
[18] SCHROEDER G N, STEINMETZ C, RODRIGUES R N, et al. A methodology for digital twin modeling and deployment for industry 4.0[J]. Proceedings of the IEEE, 2020, 109(4): 556-567.
[19] LI M, LIU H, ZHOU J. G-SECI model-based knowledge creation for CoPS innovation: the role of grey knowledge[J]. Journal of Knowledge Management, 2018, 22(4): 887-911.
[20] RAZZAQUE A, ELDABI T, CHEN W. Quality decisions from physicians' shared knowledge in virtual communities[J]. Knowledge Management Research & Practice, 2022, 20(4): 503-515.
[21] EISENBERG J,MATTARELLI E.Building bridges in global virtual teams:the role of multicultural brokers in overcoming the negative effects of identity threats on knowledge sharing across subgroups[J]. Journal of International Management, 2017, 23(4): 399-411.
[22] 李海峰,王炜.数字孪生智慧学习空间:内涵、模型及策略[J].现代远程教育研究,2021,33(3):73-80,90.
[23] 梁玲玲,李烨,陈松.数智赋能对企业开放式创新的影响:数智双元能力和资源复合效率的中介作用[J].技术经济,2022,41(6):59-69.
[24] 姚伟,周鹏,于会伶,等.从数字孪生到知识孪生:赋能虚拟社区成员感知收益促进知识转化[J].情报理论与实践,2022,45(9):67-74,82.
[25] JI S, PAN S, CAMBRIA E, et al. A survey on knowledge graphs:representation, acquisition, and applications[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 33(2): 494-514.
[26] 张肃,许慧.基于知识图谱的企业知识服务模型构建研究[J].情报科学,2020,38(8):68-73.
[27] 姚伟,周鹏,于会伶.基于元宇宙场景的双重知识孪生架构研究[J].现代情报,2023,43(10):97-106.
[28] ZHOU G, ZHANG C, LI Z, et al. Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing[J]. International Journal of Production Research, 2020, 58(4): 1034-1051.
[29] KAYES A S M, HAN J, RAHAYU W, et al. A policy model and framework for context-aware access control to information resources[J]. The Computer Journal, 2019, 62(5): 670-705.
[30] 王海涛,宋丽华.情景感知:基本概念、关键技术与应用系统[J].数据与计算发展前沿,2022,4(3):110-123.
[31] 吴玉浩,姜红,HENKDE VRIES.面向标准竞争优势的动态知识管理能力:形成机理与提升路径[J].情报杂志,2019,38(12):200-208.
[32] XIONG C, VAN WEELDEN L, FRANCONERI S. The curse of knowledge in visual data communication[J]. IEEE Transactions on Visualization and Computer Graphics, 2019, 26(10): 3051-3062.
[33] 梁镇涛,毛进,操玉杰,等.基于知识模因级联网络的领域知识扩散模式分析[J].情报理论与实践,2020,43(4):40-46.
[34] SAJKO M, BOONE C, BUYL T. CEO greed, corporate social responsibility, and organizational resilience to systemic shocks[J]. Journal of Management, 2021, 47(4): 957-992.
[35] 姚柱,张显春.团队创新使命、隐性知识共享与团队创新绩效[J].软科学,2021,35(7):78-83,97.
[36] ARAL S. The future of weak ties[J]. American Journal of Sociology, 2016, 121(6): 1931-1939.
[37] STROHMEIER S. Digital human resource management:a conceptual clarification[J]. German Journal of Human Resource Management, 2020, 34(3): 345-365.
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