Knowledge Management Via AUTomated Organizational CARTography (AUTOCART)

Mounir Kehal () and Zuopeng (Justin) Zhang ()
Additional contact information
Mounir Kehal: Dubai International Academic City
Zuopeng (Justin) Zhang: State University of New York

Journal of the Knowledge Economy, 2020, vol. 11, issue 1, No 13, 239-255

Abstract: 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.

Keywords: Knowledge management; Knowledge maps; Knowledge diffusion; Organizational cartography (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13132-018-0542-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jknowl:v:11:y:2020:i:1:d:10.1007_s13132-018-0542-0

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13132

DOI: 10.1007/s13132-018-0542-0

Access Statistics for this article

Journal of the Knowledge Economy is currently edited by Elias G. Carayannis

More articles in Journal of the Knowledge Economy from Springer, Portland International Center for Management of Engineering and Technology (PICMET)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().