Digital maturity models: comparing manual and semi-automatic similarity assessment frameworks
Article dans une revue avec comité de lecture
Date
2021-11-29Journal
International Journal of Product Lifecycle ManagementAbstract
The fourth industrial revolution is forcing companies to define their
digital strategy, making it imperative that they assess their digital maturity as a
basis for improvements. As a result, a variety of maturity models have
emerged. However, it can be difficult to identify which one is most appropriate.
This paper introduces a new methodology to compare a manual and a semi automatic framework for assessing the similarity of digital maturity models. It
allows identifying the most adequate framework for comparing maturity
models. Both frameworks have been designed to identify correspondences
between KPIs. The analysis of the matches and the obtained results are then
used to tune the semi-automatic framework. The proposed comparison
methodology has been validated using two digital maturity models and shows
that the semi-automatic framework provides good results in a very efficient
manner. Several insights have been derived and will help to develop a new
maturity model.
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