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

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  • Kevin Hu

    (Department of Mathematics, Dartmouth College, Hanover, NH 03755, USA)

  • Feng Fu

    (Department of Mathematics, Dartmouth College, Hanover, NH 03755, USA
    Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA)

Abstract

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

Suggested Citation

  • Kevin Hu & Feng Fu, 2021. "Evolutionary Dynamics of Gig Economy Labor Strategies under Technology, Policy and Market Influence," Games, MDPI, vol. 12(2), pages 1-31, June.
  • Handle: RePEc:gam:jgames:v:12:y:2021:i:2:p:49-:d:572203
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    References listed on IDEAS

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    1. Alexandrea J. Ravenelle, 2017. "Sharing economy workers: selling, not sharing," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 10(2), pages 281-295.
    2. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    3. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    4. Elkhan Richard Sadik-Zada, 2020. "Distributional Bargaining and the Speed of Structural Change in the Petroleum Exporting Labor Surplus Economies," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(1), pages 51-98, January.
    5. Andrew Stewart & Jim Stanford, 2017. "Regulating work in the gig economy: What are the options?," The Economic and Labour Relations Review, , vol. 28(3), pages 420-437, September.
    6. Lonnie Golden, 2008. "Limited Access: Disparities in Flexible Work Schedules and Work-at-home," Journal of Family and Economic Issues, Springer, vol. 29(1), pages 86-109, March.
    7. David G. Rand & Martin A. Nowak, 2011. "The evolution of antisocial punishment in optional public goods games," Nature Communications, Nature, vol. 2(1), pages 1-7, September.
    8. Nash, John, 1950. "The Bargaining Problem," Econometrica, Econometric Society, vol. 18(2), pages 155-162, April.
    9. Araujo, Ricardo Azevedo & de Souza, Nathalia Almeida, 2010. "An evolutionary game theory approach to the dynamics of the labour market: A formal and informal perspective," Structural Change and Economic Dynamics, Elsevier, vol. 21(2), pages 101-110, May.
    10. Lehdonvirta, Vili, 2018. "Flexibility in the Gig Economy: Managing Time on Three Online Piecework Platforms," SocArXiv k3hy4, Center for Open Science.
    11. Johnston, Hannah & Land-Kazlauskas, Chris., 2018. "Organizing on-demand representation, voice, and collective bargaining in the gig economy," ILO Working Papers 994981993502676, International Labour Organization.
    12. Gordon Burtch & Seth Carnahan & Brad N. Greenwood, 2018. "Can You Gig It? An Empirical Examination of the Gig Economy and Entrepreneurial Activity," Management Science, INFORMS, vol. 64(12), pages 5497-5520, December.
    13. Te Wu & Feng Fu & Long Wang, 2011. "Moving Away from Nasty Encounters Enhances Cooperation in Ecological Prisoner's Dilemma Game," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-7, November.
    14. Andrew R. Tilman & Joshua B. Plotkin & Erol Akçay, 2020. "Evolutionary games with environmental feedbacks," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    15. Gerald Friedman, 2014. "Workers without employers: shadow corporations and the rise of the gig economy," Review of Keynesian Economics, Edward Elgar Publishing, vol. 2(2), pages 171-188, April.
    16. Saif Benjaafar & Ming Hu, 2020. "Operations Management in the Age of the Sharing Economy: What Is Old and What Is New?," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 93-101, January.
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