Knowledge Management Via AUTomated Organizational CARTography (AUTOCART) View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-04-19

AUTHORS

Mounir Kehal, Zuopeng (Justin) Zhang

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. More... »

PAGES

1-17

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13132-018-0542-0

DOI

http://dx.doi.org/10.1007/s13132-018-0542-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103457973


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