A Meta-Model-Driven Approach to Support Digitization Evolution with Maturity Models

被引:1
作者
Bernabei, Margherita [1 ]
Costantino, Francesco [2 ]
Tronci, Massimo [1 ]
机构
[1] Univ Roma La Sapienza, Dept Mech & Aerosp Engn, Rome, Italy
[2] Univ Roma La Sapienza, Dept Comp Control & Management Engn, Rome, Italy
关键词
Knowledge management; smart manufacturing; digital maturity assessment; maturity model; review; INDUSTRY; 4.0; SAFETY; UNCERTAINTY; FRAMEWORK;
D O I
10.1142/S2424862224500143
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Digitization makes knowledge and information a centerpiece since these connect all dimensions affected by innovation, i.e., people, processes, organization, business, and technology. Maturity Models (MMs) support managers in this evolution. The paper provides a theoretical formalization of MMs to give a practical knowledge contribution to increasing the intensiveness of information in enterprises, through digitization evolution. The paper reviews the main MMs, and presents their state of the art. Then, it defines a backbone structure common to MMs to abstract and describe their features by a meta-model. The new meta-model-driven approach guides companies in the selection of MMs, and in designing a new MM, where needed. The meta-model formalizes the two-levels inputs, the process, and the output to align the company's motivations with the MM features, resulting in the definition of an appropriate MM for organizations. A qualitative exploratory case study shows the approach and its results, providing guidelines for future actions.
引用
收藏
页码:207 / 253
页数:47
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