Identification d’indicateurs de la maturité numérique des entreprises par une démarche de comparaison et de synthèse des modèles existants

Abstract

The fourth industrial revolution is emerging in global industrial strategies. All around the world, a rush to move manufacturing processes towards digitalization is being launched. This transformation is impacting both small and large organization. However, in order to direct their digital transformation, it is essential to first define the state of an organization before beginning its transformation. To this end, digital maturity models can be used. A maturity model provides information to the organization on the implementation and the progress of their transformation. The goal of maturity models is to allow organizations to reach the concept of “Industry 4.0” by helping them in their transformation. Several digital maturity models are currently available and have different scopes, depending on their specific interests. The objective of this thesis is to put forward a global list of digital maturity indicators, also called Key Performance Indicators (KPIs), based on a collection of digital maturity assessment models available online or provided by institutions conducting business audits. At first sight, all the models have the same pattern globally, but their content differs and does not assess the same aspects of digital transformation. One of the difficulties of this study is therefore based on the comparison of the maturity models that partially overlap each other. The methodology adopted to achieve the objective of this thesis is a multi-step process. First, a step of identification and redaction, through a reverse engineering method, enables experts to formulate the KPIs employed by the 13 digital maturity models that are considered in this study. Keywords are then assigned to each literature KPI to characterize and group them around common concepts. These keywords are next classified in order to structure the literature KPIs into dimensions and subdimensions. Lastly, on the basis of this structure, a synthesis of KPIs from the literature leads to the creation of a new KPI list, containing all the notions of the maturity models that are considered. Throughout this methodology, statistic indicators helped experts to estimate the importance, the coverage and the difference between KPIs, subdimensions and dimensions. A minimum of three experts were involved in each step to ensure the validity of the new KPI list. The new KPI list will, after this study, be shared with industrial partners who will formulate questions and answers to evaluate digital maturity and help Small- and Medium sized Enterprises (SMEs) in the field of aviation.

Date	21 Aug 2020
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Louis Rivest (Supervisor) & Jean-Philippe Pernot (Co-supervisor)