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Diagnosing and Remedying Knowledge Gap between Enterprises

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Practical Applications of Intelligent Systems

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 124))

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Abstract

In the era of knowledge to win, this article introduces two "knowledge distance" concepts, and analyses its adaptabilities to diagnose knowledge gap. Based on such analysis, this paper sets up a general and clear path model on making up for knowledge gap. In final, by virtue of some cases, the paper sums up such three basic security mechanisms to make up knowledge gap as: knowledge learning, knowledge innovating and knowledge sharing.

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References

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Author information

Authors and Affiliations

  1. School of Business Central South University of Forestry & Technology, Changsha, 410004, China

    Jiangquan Huang

  2. Department of Clinical Medicine, Huaihua Medical College, Huaihua, 418000, China

    Chunfeng Wang

Authors
  1. Jiangquan Huang
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  2. Chunfeng Wang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240, Shanghai, China

    Yinglin Wang

  2. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, Sichuan Province, China

    Tianrui Li

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© 2011 Springer-Verlag Berlin Heidelberg

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Huang, J., Wang, C. (2011). Diagnosing and Remedying Knowledge Gap between Enterprises. In: Wang, Y., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent and Soft Computing, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25658-5_75

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  • DOI: https://doi.org/10.1007/978-3-642-25658-5_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25657-8

  • Online ISBN: 978-3-642-25658-5

  • eBook Packages: EngineeringEngineering (R0)

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