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This paper details the creation of a novel Comparative Digital Maturity Model (CDMM), enabling organizations to dynamically benchmark their digital maturity against peers by utilizing real-time, publicly available news data sources. Traditional Digital Transformation (DT) models typically rely on static data such as annual reports, interviews, and questionnaires. Addressing this gap, our model adopts a Practice-Based View (PBV) within a Design Science Research (DSR) methodology, ensuring a robust, iterative development process through focus group discussions and expert interviews in collaboration with industry stakeholders. The results demonstrate that the CDMM effectively captures the evolving nature of DT across sectors, providing continuous, up-to-date assessments that overcome the limitations of static evaluations.

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Towards Assessing Digital Maturity: Utilizing Real-Time Public Data for Organizational Benchmarking

  • 章节

  • 发表日期：

    2025年

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  • Maximilian Breitruck,
  • Andrea Back,
  • Lena-Marie Pätzmann

摘要

This paper details the creation of a novel Comparative Digital Maturity Model (CDMM), enabling organizations to dynamically benchmark their digital maturity against peers by utilizing real-time, publicly available news data sources. Traditional Digital Transformation (DT) models typically rely on static data such as annual reports, interviews, and questionnaires. Addressing this gap, our model adopts a Practice-Based View (PBV) within a Design Science Research (DSR) methodology, ensuring a robust, iterative development process through focus group discussions and expert interviews in collaboration with industry stakeholders. The results demonstrate that the CDMM effectively captures the evolving nature of DT across sectors, providing continuous, up-to-date assessments that overcome the limitations of static evaluations.