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Entrepreneurship and Sustainability Issues Open access
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DOI 10.9770/q5959857675
Reference to this article should be made as follows:
Chamrada, D.; Chán, J.; Talíř, M. 2026. Data-driven assessment of digital maturity in industrial enterprises: a multi-layer model for strategy and transformation readiness, Entrepreneurship and Sustainability Issues 13(3): 262-278. https://doi.org/10.9770/q5959857675
Received: 2025-10-15  |  Accepted: 2026-01-07  |  Published: 2026-03-30

Title

Data-driven assessment of digital maturity in industrial enterprises: a multi-layer model for strategy and transformation readiness

Abstract

Industrial firms continue to experience substantial obstacles when attempting to adopt and operationalise key Industry 4.0 technologies. These challenges are often rooted in fragmented decision-making, inconsistent alignment between digital initiatives and corporate strategy, and limited analytical tools for verifying the actual state of organisational readiness. This paper proposes and validates a structured methodology for assessing the conformity of organisational processes with a generic digital maturity model through a multi-stage, evidence-based approach. The method integrates a systematic literature review, in-depth examination of internal corporate documentation, and a weighted matrix analysis applied to empirical data from an industrial firm. This procedure produces both an overall digital maturity index and a detailed layer-based profile covering strategic alignment, cost management, human resource capabilities, and implementation practices. The study introduces the concept of a “digital strategic centre of gravity” as an analytical instrument for identifying disproportions across maturity layers and tracing their causal mechanisms. This indicator enables the formulation of targeted, actionable recommendations aimed at restoring balance in the digital transformation trajectory. Empirical results reveal that the predominant constraints arise from insufficient alignment between digital and corporate strategies, weak cost governance mechanisms, and substantial competency gaps within the workforce. The proposed methodology moves beyond subjective self-assessments by offering a quantified, data-driven verification procedure. In doing so, it enhances diagnostic precision, strengthens strategy execution, and provides managers with a replicable framework for guiding evidence-based digital transformation.

Keywords

digital maturity, Industry 4.0, strategic management, manufacturing, balanced scorecard

JEL classifications

L00 , M15 , O30

URI

http://jssidoi.org/jesi/article/1405

DOI

DOI 10.9770/q5959857675

Pages

262-278

Funding

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Chamrada, Daniel
Institute of Technology and Business in České Budějovice, České Budějovice, Czech Republic https://www.vstecb.cz
University of Žilina, Žilina, Slovakia https://www.uniza.sk
Articles by this author in: CrossRef |  Google Scholar
Chán, Jakub
Institute of Technology and Business in České Budějovice, České Budějovice, Czech Republic https://www.vstecb.cz
Articles by this author in: CrossRef |  Google Scholar
Talíř, Milan
Institute of Technology and Business in České Budějovice, České Budějovice, Czech Republic https://www.vstecb.cz
Articles by this author in: CrossRef |  Google Scholar

Journal title

Entrepreneurship and Sustainability Issues

Volume

13

Number

3

Issue date

March 2026

Issue DOI

DOI 10.9770/c6679368499

ISSN

ISSN 2345-0282 (online)

Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 724  |  PDF downloads: 639

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