DEVELOPMENT OF QUALITY MANAGEMENT SYSTEMS IN THE CONTEXT OF DIGITAL TRANSFORMATION
DOI:
https://doi.org/10.5281/zenodo.19606219Keywords:
digital quality management, QMS digitalisation, ISO 9001, Industry 4.0, AI in quality, digital twin, DQMS maturity model, cost of qualityAbstract
The accelerating pace of digital transformation is fundamentally reshaping quality management systems (QMS)
across industries, necessitating a comprehensive theoretical and empirical re-examination of established frameworks. This
paper investigates the developmental trajectory of QMS in the context of digital transformation, with particular emphasis
on the integration of artificial intelligence (AI), Internet of Things (IoT), blockchain, digital twin technologies, and cloudbased
platforms into quality governance architectures. Grounded in the Total Quality Management (TQM) framework, the
ISO 9001:2015 risk-based process approach, and the dynamic capabilities perspective, the study proposes a five-level
Digital Quality Management System (DQMS) Maturity Model as a novel methodological instrument for assessing and
guiding organisational digital quality transitions. A mixed-methods research design — combining systematic literature
synthesis, expert Delphi weighting (n = 34), and a structured survey of 312 quality and operations professionals across
manufacturing, services, and technology sectors in 11 countries — was employed to validate the model empirically
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