Abstract
The gig economy, while providing big tech companies with unparalleled access to specialized talent and operational agility, simultaneously introduces a complex spectrum of risks, ranging from financial liabilities to regulatory non-compliance and performance inefficiencies. Traditional risk management frameworks fall short of addressing the dynamic nature of these challenges. This paper presents the 360° Risk Assessment Model, an advanced, data-driven framework leveraging machine learning to deliver a real-time, multi-faceted evaluation of risk. By dynamically quantifying and recalibrating risk scores, this model empowers enterprises to strategically mitigate potential losses, optimize decision-making, and enhance the governance of their contingent workforce ecosystem.
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