Knowledge management-based approach for inter-organisational collaborative processes modelling
by Kahina Semar-Bitah; Kamel Boukhalfa
International Journal of Business Information Systems (IJBIS), Vol. 36, No. 3, 2021

Abstract: Nowadays the current market is in evolution, organisations must work together to ensure their survival. The collaboration partners are heterogeneous and incompatible, which makes the interaction and exchange between them complicated, and requires new technologies to support them. This paper presents a knowledge management-based approach for inter-organisational collaborative processes IOCP modelling. Ontologies represent an effective solution to deal with the heterogeneity and incompatibility problems in different domains. Collaboration ontologies provide a way to promote its modelling. In this domain, there are only few ontologies which cover it partially. The developed system is composed of three part: 1) gathering and formalising collaborative network knowledge; 2) storing knowledge in a knowledge-based to infer the collaborative process model; 3) the IOCP modelling. The heart of this knowledge-based system is a modular ontology conceived to cover as maximum as possible the collaboration domain. The proposed system was conceived as a part of a collaborative platform allowing the modelling of the IOCP in a generic way.

Online publication date: Fri, 26-Feb-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Information Systems (IJBIS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com