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

The emergence of the modern gig economy introduces a new set employment considerations for firms and laborers that include various trade-offs. With game-theoretical approach, we examine influences technology, policy markets on firm worker preferences labor. Theoretically, present conceptual extensions to replicator equation model oscillating dynamics in two-player asymmetric bi-matrix games with time-evolving environments, introducing concepts attractor arc, trapping zone escape. While canonical applications evolutionary game theory focus stable strategy, our assumes system exhibits oscillatory can persist long temporal intervals pseudo-stable state. We demonstrate how changing market conditions result distinct patterns across labor economies. Informing tensions regarding future this category, novel payoff framework analyze role technology growth economy. Regarding governance, explore regulatory implications within economy, demonstrating lenient strict alter sensitivities between employee strategies. Finally, establish an aggregate economic explain environments engage interlocking dance, balancing act, sustain observable co-existence