General topics > Track 2: Governance for unknown futures

Governance for Unknown Futures: Building Organizations Through Adaptive Agility, Inclusion, Climate Awareness, and AI-Enhanced Decision-Making

Unknown futures are taking shape in a context of unprecedented poly-crises where climate, geopolitical, health, and economic disruptions intertwine and reinforce one another, fundamentally challenging traditional models of governance and organizational performance (Aguilera & Ruiz Castillo, 2025). This convergence of systemic challenges requires organizations to develop new meta-capabilities across four critical dimensions: adaptive agility, inclusion, climate awareness, and AI-enhanced decision-making, while navigating uncharted consumer behaviors and market dynamics shaped by digital transformation and sustainability imperatives. These dimensions represent fundamental shifts from traditional organizational approaches toward dynamic capabilities that enable speed of detection combined with depth of transformation, cognitive diversity as a strategic advantage, environmental awareness as a core business capability, and intelligent automation balanced with human augmentation.

The ENIG 2025 conference welcomes research exploring adaptive agility systems that integrate anticipatory responsiveness with transformational flexibility, enabling organizations to absorb shocks while emerging from greater disruptions (Stoelhorst & Vishwanathan, 2024; Zahoor et al., 2024). We solicit studies on inclusive governance mechanisms that leverage stakeholder integration and diverse perspectives for robust decision-making in uncertain environments (de Barros Santos Freire et al., 2024). Furthermore, we encourage research on integrating climate awareness that incorporates environmental strategy, carbon management, and sustainable innovation into core organizational models (Guizani et al., 2025; Slama et al., 2025). We also welcome research examining how organizations develop AI capabilities that create business value through data-driven cultures (Fosso Wamba et al., 2024) while maintaining robust governance frameworks that balance AI-driven automation with human augmentation (Raisch & Krakowski, 2021; Enholm et al., 2022). Contributions may examine the multidimensional integration of these capabilities, exploring how adaptive agility, inclusion, climate awareness, and AI-augmented decision-making combine to create organizational forms capable of thriving in unknown futures.