Enterprise Content Management Systems as a Knowledge Infrastructure

Author:

Le Dinh Thang1,Rickenberg Tim A.2,Fill Hans-Georg3,Breitner Michael H.4

Affiliation:

1. Université du Québec à Trois-Rivières, Trois-Rivières, Québec, Canada

2. Leibniz Universität Hannover, Hannover, Germany

3. Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA, & Department of Knowledge and Business Engineering, University of Vienna, Vienna, Austria

4. Information Systems Institute, Leibniz Universität Hannover, Hannover, Germany

Abstract

The rise of the knowledge-based economy has significantly transformed the economies of developed countries from managed economies into entrepreneurial economies, which deal with knowledge as both input and output. Consequently, knowledge has become a key asset for organizations and knowledge management is one of the driving forces of business success. One of the most important challenges faced by enterprises today is to manage both knowledge assets and the e-collaboration process between knowledge workers. Critical business knowledge and information is often contained in mostly unstructured documents in content management systems. Therefore, content management based on knowledge perspectives is crucial for organizations, especially knowledge-intensive organizations. Enterprise Content Management has evolved as an integrated approach to managing documents and content on an enterprise-wide scale. This approach must be enhanced in order to build a robust foundation to support knowledge development and the collaboration process. This paper presents the KBCM (Knowledge-Based Content Management) framework for constructing a knowledge infrastructure based on the perspective of knowledge components that could help enterprises create more business value by classifying content formally and enabling its transformation into valuable knowledge assets.

Publisher

IGI Global

Subject

Computer Networks and Communications,Computer Science Applications

Reference51 articles.

1. AIIM. (2014). What is enterprise content management (ECM)? Association for Information and Image Management. Retrieved from http://www.aiim.org

2. Firm Resources and Sustained Competitive Advantage

3. Questions in knowledge management: defining and conceptualising a phenomenon

4. Bellenger, G. (2004). Creating knowledge objects. Retrieved from http://www.systems-thinking.org (last accessed October 2014).

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