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• W1973669773 abstract "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, etc.) 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 article is to present the importance of knowledge formalisation for strategic alignment. Our work is based on knowledge contained in a well-known reference model for supply chain: Supply Chain Operations Reference (SCOR) model. To analyse 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." @default.
• W1973669773 created "2016-06-24" @default.
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• W1973669773 date "2011-07-29" @default.
• W1973669773 modified "2023-10-18" @default.
• W1973669773 title "An ontological approach for strategic alignment: a supply chain operations reference case study" @default.
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• W1973669773 doi "https://doi.org/10.1080/0951192x.2011.575798" @default.
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