Regionally Conditioned Development Paths in Hybrid Collaborative Networks

The transition toward Organization 5.0 requires collaborative networks that are digitally enabled, human-centric, and regionally adaptive. This study investigates how collaborative development needs vary across European regions (East, South, and West) and how these differences can inform differentiated pathways toward human-AI hybrid collaborative networks. Using survey data and K-means clustering, the research identifies regionally conditioned stakeholder profiles based on socio-technical needs. The findings reveal a dual-speed ecosystem in the East, strong digital advancement but limited sustainability focus in the South, and human-centric priorities with digital gaps in the West. These variations underscore the need for tailored hybrid configurations combining AI tools, digital infrastructures, and inclusive governance. By linking empirical clustering with Contingency Theory, the paper proposes a novel framework for designing adaptive, Human-AI hybrid collaborative networks. The study contributes to the Organization 5.0 discourse by offering actionable insights into how collaboration systems can be contextually aligned for resilience, sustainability, and cultural responsiveness