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Evolutionary game analysis of online game studios and online game companies participating in the virtual economy of online games

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  • Gong Zhang
  • Shulei Bi

Abstract

In the context of the new economic development in the post-pandemic era, "play" labor as an important component of digital work has become an inexhaustible driving force for the growth of the digital economy. Previous research has shown that "play" labor, as an emerging business model, can effectively promote the growth of the digital economy. However, there is a relative lack of research on the dynamic evolutionary game between "play" labor suppliers represented by game studios and online gaming companies. In this study, we applied the theoretical approach of dynamic evolutionary game theory to establish a game model depicting the evolution of both parties involved in the virtual economy of online gaming. The aim was to investigate the strategic selection mechanisms and influencing factors for game studios and online gaming companies participating in the virtual economy of online gaming. By analyzing the evolutionary game path, equilibrium points, and factors influencing the evolutionary game outcome, as well as conducting numerical simulation analysis using Matlab software, we found that the incremental gains and costs resulting from the strategic choices of online gaming companies and game studios in engaging in the virtual economy of online gaming affect the evolutionary outcomes. In addition, for the probability ratio of online game studios and online game companies choosing to participate in the virtual economy of online games, whether it is online game studios or online game companies, the larger the initialization ratio, the more likely the evolution result is to develop in a mutually beneficial direction. After an in-depth analysis and discussion of the evolutionary game results, relevant policy recommendations were proposed. We hope to provide a reference for promoting online game companies to strengthen the adequate supervision of online game studios’ participation in the virtual economy of online games and optimize and improve the virtual economic environment.

Suggested Citation

  • Gong Zhang & Shulei Bi, 2024. "Evolutionary game analysis of online game studios and online game companies participating in the virtual economy of online games," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-24, January.
    • Handle: RePEc:plo:pone00:0296374
    DOI: 10.1371/journal.pone.0296374
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    References listed on IDEAS

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    1. Takeshi Yagihashi & Juan Du, 2023. "Intertemporal elasticity of substitution with leisure margin," Review of Economics of the Household, Springer, vol. 21(4), pages 1473-1504, December.
    2. Shiming Wang & Hui Su & Qiang Hou, 2023. "Evolutionary game study on multi-agent value co-creation of service-oriented digital transformation in the construction industry," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-23, May.
    3. Ziqing He & Qin Liu, 2023. "The Crossover Cooperation Mode and Mechanism of Green Innovation between Manufacturing and Internet Enterprises in Digital Economy," Sustainability, MDPI, vol. 15(5), pages 1-28, February.
    4. Shumei Wang & Yaoqun Xu, 2022. "Complex Network-Based Evolutionary Game for Knowledge Transfer of Social E-Commerce Platform Enterprise’s Operation Team under Strategy Imitation Preferences," Sustainability, MDPI, vol. 14(22), pages 1-34, November.
    5. Leon A. Petrosyan & Xiuxiu Liu, 2023. "Evolutionary Stable Strategies in Multistage Games," Mathematics, MDPI, vol. 11(11), pages 1-9, May.
    6. Jing Gao & Wanfei Zhang & Tao Guan & Qiuhong Feng, 2023. "Evolutionary game study on multi-agent collaboration of digital transformation in service-oriented manufacturing value chain," Electronic Commerce Research, Springer, vol. 23(4), pages 2217-2238, December.
    7. Chamberland, Marc & Cressman, Ross, 2000. "An Example of Dynamic (In)Consistency in Symmetric Extensive Form Evolutionary Games," Games and Economic Behavior, Elsevier, vol. 30(2), pages 319-326, February.
    8. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza & Khosroshahi, Hossein & Altmann, Jörn, 2022. "An evolutionary game-theoretic approach to study the technological transformation of the industrial sector toward renewable electricity procurement: A case study of Iran," Applied Energy, Elsevier, vol. 318(C).
    9. Sarvesh Bandhu & Ratul Lahkar, 2023. "Evolutionary robustness of dominant strategy implementation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(2), pages 685-721, August.
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