Author(s)

Okuma Kaium, Lizi Alasa, Kurtz Robert^*

Affiliation(s)

Department of Computer Science, Yaba College of Technology, Lagos, Nigeria.

Corresponding Author

Kurtz Robert

ABSTRACT

As global disruptions intensify through pandemics, geopolitical conflicts, and climate volatility, the demand for adaptive and resilient systems has never been greater. This paper explores the transformative role of disruptive technologies, particularly AI and advanced data analytics, in enabling agile responses across three critical domains: supply chain optimization, digital marketing evolution, and migration forecasting. By analyzing cross-domain applications and real-world case studies, we propose a Strategic Adaptation Analytics Model (SAAM) that leverages predictive intelligence to balance speed, flexibility, and foresight in volatile global environments. The paper emphasizes how organizations and policymakers can use AI-driven insights to overcome uncertainty, build sustainable value networks, and anticipate human mobility trends. In doing so, it provides a roadmap for integrating adaptive strategies with technological disruption to foster competitiveness, social preparedness, and resilience.

KEYWORDS

Adaptive strategies; Disruptive technologies; Predictive analytics; Supply chain resilience; Migration forecasting

CITE THIS PAPER

Okuma Kaium, Lizi Alasa, Kurtz Robert. Disruptive technologies and adaptive strategies: rethinking supply chains, marketing, and migration forecasting through data analytics. Innovation and Technology Studies. 2024, 1(1): 17-23. DOI: https://doi.org/10.61784/its3015.

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