Using a meta-modelling knowledge management layer – a new approach to designing the enterprise information architecture

Rashmi Malhotra

International Journal of Data Analysis Techniques and Strategies, 2010, vol. 2, issue 4, 307-335

Abstract: As managers continue to use varied set of information technologies in this fast moving era of globalisation, electronic commerce, and mobile commerce, organisations should adopt an information technology architecture that manages knowledge and meta-knowledge, and enables decision-makers to use information systems on a business intelligence platform. Thus, there is a need for an integrated, adaptive, flexible enterprise information architecture that enforces knowledge sharing and meta-knowledge management in an organisation. This study proposes an enterprise information architecture model for business and technology framework that includes a meta-knowledge-modelling level to enable knowledge sharing besides data and information sharing through organisational information systems. Further, the model is illustrated through two applications of meta-knowledge management systems through the use of object-oriented paradigm.

Keywords: information technology architecture; decision support systems; DSS; metamodelling; knowledge management; meta-knowledge; enterprise information architecture; decision making; business intelligence; knowledge sharing; object-oriented systems; information systems. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=37475 (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:injdan:v:2:y:2010:i:4:p:307-335

Access Statistics for this article

More articles in International Journal of Data Analysis Techniques and Strategies from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().