Authors:
Jihen Hlel
;
Nesrine Ben Yahia
and
Narjès Ben Saoud
Affiliation:
RIADI Laboratory, National School of Computer Sciences, Manouba, Tunisia
Keyword(s):
Digital Transformation, Maturity, Assessment, Machine Learning, Explainability, Organizations.
Abstract:
Digital transformation has become a critical factor for organizational success in the modern business landscape. However, effectively and automatically assessing the maturity of this transformation remains a significant challenge. In this paper, we address the need for a unified and explainable digital maturity model to guide organizations in their transformation journey. Our primary research questions focus on the development of a core digital maturity model, the automatic validation of its effectiveness, and its explainability. To this end, we propose a core model composed of seven key dimensions (Technology, Strategy, Skills, Culture, Organization, Data, and Leadership) derived from an extensive literature review. Each dimension is assessed across five maturity levels (Basic, Discovery, Developed, Integrated, and Leadership). We then validate the proposed model by leveraging machine learning techniques to assess its applicability within organizations. Finally, we introduce an ense
mble learning approach that combines unsupervised and supervised learning methods to enhance the explainability of the proposed digital maturity model. This approach aims not only to assess but also to elucidate the impact of different dimensions on digital maturity.
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