Towards a conceptual framework for smart assessment in organisations

Marcelo Romero (1, 2) , Wided Guédria (1, 2) , Hervé Panetto (1) , Béatrix Barafort (2)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 LIST - Luxembourg Institute of Science and Technology

Enterprises are constantly in motion, aiming to evolve through transformations that could allow them to face various challenges. In order to carry out these transformations, there is a need for an objective view of different organisational aspects. Assessments allow to provide this view by covering diverse aspects such as performance, quality, compliance, readiness, etc. However, the assessment process could be expensive since it is often based on a sequence of complex activities that must be carried out by experts or complex systems. On the other hand, the assessment results must reflect the current state of the assessed entity. Hence, there is a need for methods to autonomously adapt the results to significant changes of the entity, and that are be able to use embedded knowledge to provide relevant assessment results. To tackle these issues, this work proposes a Smart Assessment Framework (SAF), a conceptual framework devised to guide the development of smarter assessment approaches based on the integration of capabilities from smart systems to carry out the assessment process.

Mots clés: Conceptual modelling; Artificial intelligence; Learning; Reasoning; Evaluation

Domaines: Ingénierie assistée par ordinateur

Marcelo Romero, Wided Guédria, Hervé Panetto, Béatrix Barafort. Towards a conceptual framework for smart assessment in organisations. 21st IFAC World Congress, IFAC 2020, Jul 2020, Berlin, Germany. pp.10943-10948, ⟨10.1016/j.ifacol.2020.12.2839⟩. ⟨hal-02921981⟩