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Knowledge Management Via AUTomated Organizational CARTography (AUTOCART)

Author

Listed:
  • Mounir Kehal

    (Dubai International Academic City)

  • Zuopeng (Justin) Zhang

    (State University of New York)

Abstract

The post-globalization epoch has placed businesses everywhere in new and different competitive situations where knowledgeable, effective, and efficient behavior has come to provide the competitive and comparative edge. In this paper, we propose a model to automatically acquire, visually represent, and collectively reason on organizational textual content. The model enables an organization to visualize its knowledge and knowledge flows and present them in a graphical and visual framework, referred to as AUTomated Organizational CARTography (AUTOCART). Applying this model in the area of satellite engineering, we conduct an empirical study to explore the process of knowledge acquisition and diffusion in organizations. We find that text-based knowledge diffusion may be the solution to alleviating knowledge bottlenecks and there exists cohesion between scientific and commercial research based on the practice adopted within an organization. Our research provides great insights for practitioners to effectively manage knowledge assets in organizations.

Suggested Citation

  • Mounir Kehal & Zuopeng (Justin) Zhang, 2020. "Knowledge Management Via AUTomated Organizational CARTography (AUTOCART)," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(1), pages 239-255, March.
    • Handle: RePEc:spr:jknowl:v:11:y:2020:i:1:d:10.1007_s13132-018-0542-0
    DOI: 10.1007/s13132-018-0542-0
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    References listed on IDEAS

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