Scenario-Based Resource Capacity Planning Model for Optimizing Global Team Performance

Global organizations increasingly face challenges in managing distributed teams across time zones, cultures, and skill sets while ensuring optimal performance and productivity. Scenario-based resource capacity planning offers a systematic approach to anticipate uncertainties, allocate resources effectively, and align workforce capabilities with dynamic project demands. This review synthesizes existing frameworks, models, and methodologies for capacity planning, with a focus on global team performance optimization. It highlights how scenario analysis enhances resilience by simulating potential disruptions, workload imbalances, and fluctuating market conditions. By integrating predictive analytics, digital collaboration tools, and human-centric management strategies, organizations can proactively mitigate risks, maximize efficiency, and foster sustainable performance outcomes. The paper also identifies research gaps and proposes future directions for adaptive capacity planning models that accommodate hybrid workforces and rapidly evolving digital ecosystems.