The rise of odd-job economy makes the protection of workers’ rights and interests become the core issue of grassroots governance. The existing research focuses on the deconstruction of labor relations by digital technology, but relatively ignores the dynamic response mechanism of grassroots social support networks in coping with institutional fragility and building workers’ resilience. Based on the theory of social ecosystem, this study constructs a three-level analysis framework of “institutional environment-community network-individual action” to reveal the co-evolution law of grassroots social support networks. The core findings are as follows: Firstly, the failure of community delivery of social insurance and the lack of self-organization ability of odd-job workers constitute a “dual system vulnerability”, which directly leads to the absence of occupational injury protection. Secondly, community embedded organizations build resilience mechanisms through the triple paths of resource integration, relationship mobilization and norm remolding, in which the community network with strong relationship redundancy can significantly improve the anti-risk efficiency. Thirdly, the degree of institutional coordination between grass-roots trade unions and community service centers significantly affects the threshold of system resilience. When the two form a closed loop of service supply, the success rate of workers’ rights and interests appeal is greatly improved. This study further puts forward the “community resilience ladder” model, explains the realization path of the modernization of grassroots governance from three dimensions: network density, system coupling and action efficiency, and provides an analytical framework with both theoretical depth and practical significance for improving the protection system of workers’ rights and interests.
References
[1] Kaine, S., Josserand, E. (2019) The organisation and experience of work in the gig economy. Journal of Industrial Relations, 61(4), 479-501.
[2] Liu, S., Xu, G., Zhong, J., Xu, Y. (2024) Does work overload of odd-job platform workers lead to turnover intention? An empirical study on platform workers. Baltic Journal of Management, 19(5), 497-511.
[3] Lu, Y., Wang, Y., Zhan, C. (2023) Building rural community disaster resilience in developing countries: insights from a Chinese NGO’s safe rural community programme. Disasters, 47(4), 1090-1117.
[4] Xie, Z. (2022) Labour protection of platform workers in China: legal innovations and emerging trends. Industrial Law Journal, 51(4), 831-854.
[5] Grootjans, S. J., Stijnen, M. M. N., Kroese, M. E. A. L., Ruwaard, D., Jansen, M. W. J. (2022) Collaborative governance at the start of an integrated community approach: a case study. BMC Public Health, 22(1), 1013.
[6] Zhang, H., Cong, C., Chakraborty, A. (2022) Exploring the institutional dilemma and governance transformation in China’s urban regeneration: based on the case of Shanghai Old Town. Cities, 131, 103915.
[7] Wei, W., Wang, X., Han, S., Xiong, A. (2025) Does job gamification perception promote the job involvement of gig workers? The role of cognitive assessment and overwork – evidence from Chinese delivery platforms. Personnel Review, 54(1), 41-61.
[8] Chau, A. (2022) Regulating the algorithm: platform economy workers in China. International Union Rights, 29(2), 19-21.
[9] Wood, A. J., Lehdonvirta, V. (2023) Platforms disrupting reputation: precarity and recognition struggles in the remote gig economy. Sociology, 57(5), 999-1016.
[10] Ernst, E., Merola, R., Samaan, D. (2019) Economics of artificial intelligence: implications for the future of work. IZA Journal of Labor Policy, 9(1), 1-35.
[11] Faishal, M., Mathew, S., Neikha, K., Pusa, K., Zhimomi, T. (2023) The future of work: AI, automation, and the changing dynamics of developed economies. World Journal of Advanced Research and Reviews, 18(3), 620-629.
[12] Ferreira, F., Briga, P., Ramos Teixeira, S., Almeida, F. (2025) A platform sandbox for the assessment of municipal sustainable development goals. Journal of Engineering, Design and Technology, 23(2), 599-617.
[13] Truby, J. (2020) Fintech and the city: Sandbox 2.0 policy and regulatory reform proposals. International Review of Law, Computers & Technology, 34(3), 277-309.
[14] Stergiopoulos, V., Saab, D., Francombe Pridham, K., Aery, A., Nakhost, A. (2018) Building flexibility and managing complexity in community mental health: lessons learned in a large urban centre. BMC Psychiatry, 18(1), 20.
[15] Nosonovsky, M., Breki, A. D. (2019) Ternary logic of motion to resolve kinematic frictional paradoxes. Entropy, 21(6), 620.
Share and Cite
Yang, Y. (2025) Research on Resilience Construction of Social Support Network for Casual Workers from the Perspective of Grass-roots Governance. Journal of Social Development and History, 1(3), 10-18.