Explainable Assessment Model for Digital Transformation Maturity

Jihen Hlel, Nesrine Ben Yahia, Narjès Ben Saoud

2025

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 ensemble 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.

Paper Citation

in Harvard Style

Hlel J., Ben Yahia N. and Ben Saoud N. (2025). Explainable Assessment Model for Digital Transformation Maturity. In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-758-0, SciTePress, pages 310-317. DOI: 10.5220/0013459300003967

in Bibtex Style

@conference{data25,
author={Jihen Hlel and Nesrine Ben Yahia and Narjès Ben Saoud},
title={Explainable Assessment Model for Digital Transformation Maturity},
booktitle={Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2025},
pages={310-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013459300003967},
isbn={978-989-758-758-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Explainable Assessment Model for Digital Transformation Maturity
SN - 978-989-758-758-0
AU - Hlel J.
AU - Ben Yahia N.
AU - Ben Saoud N.
PY - 2025
SP - 310
EP - 317
DO - 10.5220/0013459300003967
PB - SciTePress