IDEAS home Printed from https://ideas.repec.org/a/hin/jnlamp/8491516.html
   My bibliography  Save this article

A New Model for Competitive Knowledge Diffusion in Organization Based on the Statistical Thermodynamics

Author

Listed:
  • Ju-Yong Jong
  • Wei-Wei Wu
  • Sung-Ryol So

Abstract

In this study, we have constructed a new model for competitive knowledge diffusion in organization based on the statistical thermodynamics of physics. In order to achieve the purpose of research, we newly define the absorptive capacity coefficient, the creativity ability coefficient, the depreciation coefficient of knowledge, the ambiguity coefficient of knowledge, and the knowledge affinity coefficient of organizational culture. And various knowledge quantities such as knowledge energy, knowledge temperature, and diffusion coefficient for the knowledge diffusion equation were defined and simulations were carried out by the lattice kinetic method. And, based on the new model, we have successfully studied the impact of the characteristics of members, knowledge itself, and organizational culture on the diffusion of competitive knowledge. The results show that the diffusion velocity of knowledge in the organization increases as the knowledge absorbing ability of the members is larger, and the ambiguity of knowledge has a negative impact on the diffusion of knowledge. The degree of knowledge affinity of organizational culture is a decisive factor in the diffusion and accumulation of knowledge in the organization, and the cultural characteristics of the organization have a much greater influence on the diffusion of competitive knowledge than the personal characteristics of members. Therefore, the organization manager needs to pay more attention to building a better organizational culture than improving personal characteristics. Our research is helpful in analyzing the factors affecting competitive knowledge diffusion and constructing an effective knowledge management system.

Suggested Citation

  • Ju-Yong Jong & Wei-Wei Wu & Sung-Ryol So, 2020. "A New Model for Competitive Knowledge Diffusion in Organization Based on the Statistical Thermodynamics," Advances in Mathematical Physics, Hindawi, vol. 2020, pages 1-12, March.
  • Handle: RePEc:hin:jnlamp:8491516
    DOI: 10.1155/2020/8491516
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/AMP/2020/8491516.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/AMP/2020/8491516.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/8491516?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlamp:8491516. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.