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The emergence of the modern gig economy introduces a new set of employmentconsiderations for firms and laborers that include various trade-offs. With agame-theoretical approach, we examine the influences of technology, policy andmarkets on firm and worker preferences for gig labor. Theoretically, we presenta new extension to the replicator equation and model oscillating dynamics intwo-player asymmetric bi-matrix games with time-evolving environments,introducing concepts of the attractor arc, trapping zone and escape. Wedemonstrate how changing market conditions result in distinct evolutionarypatterns for gig-labor preferences across high and low skill work-forces, whichwe explain through their differing sensitivities to market-driven consumerdemand and financial incentives among other considerations. Informing tensionsregarding the future of this new employment category, we present a novel payoffframework to analyze the role of technology on the growth of the gig economy.Finally, we explore regulatory implications within the gig economy,demonstrating how intervals of lenient and strict policy alter firm and workersensitivities between gig and employee labor strategies.

Evolutionary Dynamics of Gig Economy Labor Strategies under Technology, Policy and Market Influence