ISSN 1008-2204
CN 11-3979/C

企业知识创新能力影响因素分析方法

吴云鹏, 王 君

吴云鹏, 王 君. 企业知识创新能力影响因素分析方法[J]. 北京航空航天大学学报社会科学版, 2010, 23(4): 48-53.
引用本文: 吴云鹏, 王 君. 企业知识创新能力影响因素分析方法[J]. 北京航空航天大学学报社会科学版, 2010, 23(4): 48-53.
WU Yun-peng, WANG Jun. Analyzing Method for Influencing Factors of Enterprise Knowledge Creation Capability[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2010, 23(4): 48-53.
Citation: WU Yun-peng, WANG Jun. Analyzing Method for Influencing Factors of Enterprise Knowledge Creation Capability[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2010, 23(4): 48-53.

企业知识创新能力影响因素分析方法

基金项目: 国家自然科学基金资助项目(70871006)
详细信息
    作者简介:

    吴云鹏(1980-),男,北京人,博士研究生,研究方向为管理科学与工程.

  • 中图分类号: N94

Analyzing Method for Influencing Factors of Enterprise Knowledge Creation Capability

Funds: 国家自然科学基金资助项目(70871006)
  • 摘要: 针对如何提升企业创新能力、提升知识创新水平的问题,分析影响企业知识创新能力的 五类因素。利用模糊集理论和模糊聚类方法,进一步提出了影响企业创新能力因素的分析方 法。企业应用该方法能够找到影响因素的关键属性集合,根据这些关键属性分析总结出影响 企业知识创新能力的关键因素。企业可依据分析结果调整其知识管理和知识创新策略、合理 分配组织资源,改善其创新能力并提升其核心竞争力。最后,通过一个案例,进一步说明了 该方法在企业中的实际应用。
    Abstract: Influencing factors of knowledge creation capability from five different aspects are proposed through analyzing process of knowledge creation aimed at promoting the enterprise knowledge creation capability (KCC). Then an analysis method based on fuzzy set theory and fuzzy clustering approach to analyze enterprise KCC is proposed. This method can help organizations extract the key attribute set of influencing factors then deduce the key influencing factors which affect the creation capability mostly. Organizations can adjust their strategies of knowledge management (KM) and knowledge creation according to the analytical result to improve its knowledge creation capability and gain core competence. Finally, an application case is provided to illustrate the application of the presented method.
  • [1] Bloodgood J M, Salisbury W D. Understanding the influence of organizational change strategies on information technology and knowledge managem ent strategies
    [2] Brohman M K. Knowledge creation opportunities in the data mining proc ess //Proceedings of the 39th Hawaii International Conference on System Scie nces. Los Alamitos, CA: IEEE Press, 2006:1-4.
    [3] Nonaka I, Takeuchi H. The knowledge creating company: how Japanese co mpanies create the dynamic of innovation
    [4] Chou S W, He M Y. Facilitating knowledge creation by knowledge assets //Proceedings of the 37th Hawaii International Conference on System Sciences. Los Alamitos, CA: IEEE Press, 2004:242-252.
    [5] Choi B, Lee H. Knowledge management strategy and its link to knowledg e creation process
    [6] Newell S, Adams S, Crary M. An autoethnographic account of knowledge creation: seeing and feeling knowledge creation in project teams //Proceedin gs of the 39th Hawaii International Conference on System Sciences . Los Alamitos, CA: IEEE Press, 2006:195-203.
    [7] Hoegl M, Schulze A. How to support knowledge creation in new product development: an investigation of knowledge management methods
    [8] Lindermana K, Schroedera R G, Zaheer S. Integrating quality managemen t practices with knowledge creation processes
    [9] McAdam R. Knowledge creation and idea generation: a critical quality perspective
    [10] Parenta M, Gallupeb R B, Salisbury W D. Knowledge creation i n focus groups: can group technologies help?
    [11] Fong P S W. Knowledge creation in multidisciplinary project teams: a n empirical study of the processes and their dynamic interrelationships
    [12] Ravichandran T, Rai A. Structural analysis of the impact of knowledg e creation and knowledge embedding on software process capability
    [13] Crossan M, Lane W, White E. An organizational learning framework: fr om intuition to institution
    [14] Lin T Y, Cercone N. Rough sets and data mining: analysis for impreci se data
计量
  • 文章访问数:  1934
  • HTML全文浏览量:  0
  • PDF下载量:  1019
  • 被引次数: 0
出版历程
  • 收稿日期:  2009-04-14
  • 发布日期:  2010-07-24

目录

    /

    返回文章
    返回