Authors:
Thanh Thoa Pham Thi
1
;
Thang Le Dinh
2
;
Markus Helfert
1
and
Michel Leonard
3
Affiliations:
1
Dublin City University, Ireland
;
2
Université du Québec à Trois-Rivières, Canada
;
3
University of Geneva, Switzerland
Keyword(s):
Service Modelling, Collaboration, Sharing Data and Processes, Collaborative Services.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
Enterprise Information Systems
;
Enterprise Software Technologies
;
Health Information Systems
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software Engineering
;
Symbolic Systems
;
Technologies for Inter-Enterprise Collaboration
Abstract:
Despite the dominance of the service sector in the last decades, there is still a need for a strong foundation on service design and innovation. Little attention has been paid on service modelling, particularly in the collaboration context. Collaboration is considered as one of the solutions for surviving or sustaining the business in the high competitive atmosphere. Collaborative services require various service providers working together according to agreements between them, along with service consumers, in order to co-produce services. In this paper, we address crucial issues in collaborative services such as collaboration levels, sharing data and processes due to business interdependencies between service stakeholders. Subsequently, we propose a model for Collaborative Service Modelling – the COSEMO model, which is able to cover identified issues. We also apply our proposed model to modelling an example of Travelling services in order to illustrate the relevance of our modelling
approach to the matter in hand.
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