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An ontological approach for strategic alignment: a SCOR case study
Omar Sakka, Pierre-Alain Millet, Valérie Botta-Genoulaz

An ontological approach for strategic alignment: a SCOR case study

Science & Mathematics Published 2011 Verification Pending

Overview & Synopsis

Firms cannot be competitive if their business and information technology strategies are not aligned. Yet achieving strategic alignment continues to be a major concern for business executives. A number of alignment models have been proposed in the literature. Enterprise Modelling (EM) can deliver models that are understandable by all participants and formalised enough to map the Enterprise Engineering and Reengineering activities directly onto the business process execution. However, models need terms (names, verbs...) to identify and describe the constructs modelled in the EM language used. To share business knowledge, a common modelling language is not sufficient. A common business language is required to share the understanding of any constructs used in the modelling language at a semantic level. The aim of this paper is to present the importance of knowledge formalization for strategic alignment. Our work is based on knowledge contained in a well-known reference model for supply chain: SCOR model. To analyze this knowledge, we transform this model into ontology. Finally, we will explore the respective advantages of the different representations of SCOR model (original text, using a business modelling language, ontology), and more generally, the contribution of ontologies as they are becoming a major issue in business modelling.

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Document Information

Document Title An ontological approach for strategic alignment: a SCOR case study
Author / Organization Omar Sakka, Pierre-Alain Millet, Valérie Botta-Genoulaz
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2011
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-138541
Original Source Link Visit Source Page on hal.science »