Artificial Intelligence

   

Competences in Ontology-based Enterprise Architecture Modeling: Zooming In and Out

Authors: Rodrigo F. Calhau, João Paulo A. Almeida, Giancarlo Guizzardi

Competence-based approaches have received increased attention, as the demand for qualified people with the right combination of competences establishes itself as a major factor of organizational performance. This paper examines how competences can be incorporated into Enterprise Architecture modeling: (i) we identify a key set of competence-related concepts such as skills, knowledge, and attitudes, (ii) analyze and relate them using a reference ontology (grounded on the Unified Foundational Ontology), and (iii) propose a representation strategy for modeling competences and their constituent elements leveraging the ArchiMate language, discussing how the proposed models can fit in enterprise competence-based practices. Our approach is intended to cover two tasks relevant to the combined application of Enterprise Architecture and Competence Modeling: `zooming in' on competences, revealing the relations between competences, knowledge, skills, attitudes and other personal characteristics that matter in organizational performance, and `zooming out' of competences, placing them in the wider context of other personal competences and overall organizational capabilities.

Comments: 27 Pages. Preprint submitted to the International Journal on Software and Systems Modeling (SoSyM), Trends in Enterprise Architecture Management Research

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[v1] 2023-06-10 12:16:23

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