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Cooperation in the management of charitable resource flows

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  • Kastelic, Jerneja
  • Pi, Bin
  • Perc, Matjaž

Abstract

Charitable resources, as a special type of public good, need effective management to harness public charitable energy, ensure the smooth flow of resources, and promote efficient use of charitable assets. This paper uses systematic management theory and evolutionary game theory to analyze how to manage the flow of charitable resources. The study focuses on the behaviors and cost-benefit dynamics of different groups involved in the charitable resource flow, aiming to find the best management methods to support public welfare charities and maximize benefits. The research assumes three key groups in the charitable resource system: managers, users, and suppliers. It then examines the basic elements of their interactions. By exploring how these groups optimize their strategies and affect each other’s decisions and benefits, the study establishes replicator dynamic equations. Through theoretical analysis using Lyapunov stability theory, it identifies the system’s evolutionary stable strategies, assessing if a stable equilibrium can be achieved among charitable organizations. The numerical simulations verify the theoretical findings and demonstrate the impact of different management methods on the strategies of the three stakeholders. The results provide valuable insights for managers to optimize the flow and management of charitable resources.

Suggested Citation

  • Kastelic, Jerneja & Pi, Bin & Perc, Matjaž, 2024. "Cooperation in the management of charitable resource flows," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:chsofr:v:187:y:2024:i:c:s0960077924009470
    DOI: 10.1016/j.chaos.2024.115395
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    References listed on IDEAS

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    1. Feng, Minyu & Han, Songlin & Li, Qin & Wu, Juan & Kurths, Jürgen, 2023. "Harmful strong agents and asymmetric interaction can promote the frequency of cooperation in the snowdrift game," Chaos, Solitons & Fractals, Elsevier, vol. 175(P2).
    2. Alexandre Bevilacqua Leoneti & René Bañares-Alcántara & Eduardo Cleto Pires & Sonia Valle Walter Borges Oliveira, 2022. "A Multi-Criteria and Multi-Agent Framework for supporting complex decision-making processes," Group Decision and Negotiation, Springer, vol. 31(5), pages 1025-1050, October.
    3. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    4. Larry Samuelson, 2016. "Game Theory in Economics and Beyond," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 107-130, Fall.
    5. Valerio Capraro & Roberto Di Paolo & Matjaz Perc & Veronica Pizziol, 2024. "Language-based game theory in the age of artificial intelligence," Papers 2403.08944, arXiv.org.
    6. Anuraag Bukkuri & Joel S. Brown, 2021. "Evolutionary Game Theory: Darwinian Dynamics and the G Function Approach," Games, MDPI, vol. 12(4), pages 1-19, September.
    7. Richard A. Johnson & Fremont E. Kast & James E. Rosenzweig, 1964. "Systems Theory and Management," Management Science, INFORMS, vol. 10(2), pages 367-384, January.
    8. Pi, Bin & Li, Yuhan & Feng, Minyu, 2022. "An evolutionary game with conformists and profiteers regarding the memory mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    9. Feng, Kehuan & Han, Songlin & Feng, Minyu & Szolnoki, Attila, 2024. "An evolutionary game with reputation-based imitation-mutation dynamics," Applied Mathematics and Computation, Elsevier, vol. 472(C).
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