An ontology-based knowledge management system to support technology intelligence

Husam Arman, Allan Hodgson and Nabil N.Z. Gindy

International Journal of Industrial and Systems Engineering, 2010, vol. 5, issue 3, 377-389

Abstract: High technology enterprises must now continually reduce costs and develop better products and services in order to sustain a competitive advantage in an endlessly changing business environment. Escalating research and development (R&D) costs force high technology enterprises to select more carefully which technologies to invest in. Advanced technology planning tools enable enterprises to make better strategic decisions. Knowledge of the technological changes relevant to an enterprise represents a critical issue in enhancing the performance of that enterprise and sustaining its competitive edge. The creation of ontology is usually the first step towards a sustainable knowledge management system. In this article, we describe the framework of an ontology-based knowledge management system including design and application at a real case. The proposed system was developed in the Protege environment, a generic system that is applicable to a variety of domain applications.

Keywords: advanced manufacturing technology; AMT; knowledge management; KM; ontology; technology intelligence; high technology; high tech enterprises; product development; competitive advantage; R&D; research and development; investment; strategic decision making; technological change; industrial engineering; systems engineering; responsive manufacturing. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=31968 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijisen:v:5:y:2010:i:3:p:377-389

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().