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Towards a Novel Comparison Framework of Digital Maturity Assessment Models

Ouvrage scientifique
Author
COGNET, B.
136804 Ecole de Technologie Supérieure [Montréal] [ETS]
PERNOT, J.-P.
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
RIVEST, L.
136804 Ecole de Technologie Supérieure [Montréal] [ETS]
DANJOU, C.
57241 École Polytechnique de Montréal [EPM]
WUEST, T.
555839 Industrial and Management Systems Engineering [Morgantown]
KÄRKKÄINEN, H.
11598 Tampere University of Technology [Tampere] [TUT]
LAFLEUR, M.
26646 Institut de recherches sur la catalyse et l'environnement de Lyon [IRCELYON]

URI
http://hdl.handle.net/10985/23485
DOI
10.1007/978-3-030-42250-9_6
Date
2020-02-28

Abstract

The fourth industrial revolution is forcing companies to rethink their status quo – creating a need to assess their digital maturity as a basis for improvements. As a result, there is a variety of maturity models available in the literature. This paper introduces a novel comparison framework designed to compare different digital maturity assessment models. Our framework has several steps: reverse engineering of criteria from existing models, criteria matching analysis, as well as computation of the coverage and spread ratios. These two metrics characterize respectively the similarity of two maturity models, and the spread between them. We tested the proposed approach with two well-known maturity self-assessment approaches, namely the IMPULS and PwC methods. From our analysis, we were able to derive several insights that will help to develop a new maturity model specifically dedicated to support SMEs in the aerospace industry and manufacturing sector.

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