Systematic comparison of digital maturity assessment models

被引:2
|
作者
Cognet, Bruno [1 ]
Pernot, Jean-Philippe [2 ]
Rivest, Louis [1 ]
Danjou, Christophe [3 ]
机构
[1] ETS, Syst Engn Dept, Montreal, PQ, Canada
[2] HESAM Univ, Arts & Metiers Inst Technol, Aix En Provence, France
[3] Polytech Montreal, Math & Ind Engn Dept, Montreal, PQ, Canada
关键词
Digital transformation; maturity models; systematic comparison framework; key performance indicators; matching level; model coverage indicators; INDUSTRY; 4.0; READINESS;
D O I
10.1080/21681015.2023.2242340
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Assessing the digital maturity of companies is essential to prepare for digital transformation in the context of Industry 4.0. Several digital maturity assessment models have emerged in the past few years to support this evaluation. One obstacle for companies is the impossibility of easily comparing themselves to one another quantitatively or qualitatively. This paper introduces a new way to compare digital maturity models through a quantitative framework that is compatible with a wide variety of models. Comparisons are performed in the space of the keywords used to characterize key performance indicators (KPIs) that are reverse engineered from the models. The matches are encoded in a keyword matrix that is used to automatically compute the match level of KPI pairs. The framework has been validated on 13 state-of-the-art maturity models whose analysis resulted in the identification of 451 KPIs characterized using 263 keywords structured according to 12 dimensions and 58 subdimensions.
引用
收藏
页码:519 / 537
页数:19
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