This seminar presents an integrated research trajectory on digital transformation and intelligent decision-making, with a particular focus on the transition from Industry 4.0 to Industry 5.0. Building on prior work on maturity models and fuzzy rule-based decision-support systems, the talk highlights the limitations of technology-centric and efficiency-driven transformation approaches.

The seminar argues that contemporary operations and supply chains require prescriptive socio-technical frameworks capable of integrating digitalization, sustainability, and human-centric principles. Selected high-impact research studies are discussed to illustrate context-specific maturity assessment and integration mechanisms under Industry 4.0.

The presentation then introduces an ongoing postdoctoral research agenda aimed at developing an Industry 5.0 reference model using a Design Science Research approach that combines literature review and empirical validation through case studies. The expected contributions include theoretical advances in socio-technical systems, practical decision-support tools for organizations, and evidence-based guidance for policy and regional development strategies.