Synergizing AI, IoT, and Data Science to Enhance Organizational and Urban Resilience in Unstable Economies

At a time of economic turmoil and accelerated technological change, the resilience and sustainability of organizations and cities are put to the test like never before. The paper presents a study on how a more interdependent use of three strategic enablers, Artificial Intelligence (AI), Internet of Things (IoT) and Data Science (DS), can be linked to improve adaptive capacity in turbulence economies. Utilizing recent empirical works and theoretical perspectives (Haque et al., 2024a) on adaptive leadership (business), AI-based optimization (nonprofit & finance sectors) (Faruq et al., 2024; Haque et al., 2024e), IoT (manufacturing supply chain) (Al-Samad et al., 2024) and smart city solutions (Sufian et al., 2024), this paper advocates an intricate paradigm of technological resilience. These findings identify success factors, barriers, and ethical considerations, offering practical insights for policymakers, managers, and technologists seeking to navigate complexity and promote sustainable development.