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Original research A KPI-BASED QUANTITATIVE ASSESSMENT AND DECISION-SUPPORT MODEL FOR QUALITY 4.0 HUMAN READINESS IN ORGANIZATIONSPages 145-152
Abstract
Quality 4.0 represents the digital transformation of quality management through the application of modern technologies such as artificial intelligence, the Internet of Things, and big data analytics. The aim of this paper is to explore the key challenges organizations face when implementing Quality 4.0 and to propose strategies for overcoming them. The analysis shows that the main challenges include organizational resistance to change, a lack of employees' digital competencies, and high initial investment costs. Despite these obstacles, successful implementation can bring numerous benefits, including improved operational efficiency and a competitive advantage. In addition, the study demonstrates that a KPI-based regression and BI framework can quantitatively assess human readiness, enabling data-driven decision-making and strategic planning. This approach provides a practical tool for managers to identify key improvement areas and predict performance outcomes.
Keywords: Quality 4.0, digital transformation, competence, KPI framework, Business Intelligence (BI), Regression analysis.
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Jovana Nikolic, 
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