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How Does the ‘FUN&EAT’ AI+Unmanned Strategy Affect the System Resilience of Sustainable Operations Management?

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  • Yuanyuan Guo

    (School of Law, Ningbo University, Ningbo 315211, China
    School of Public Policy & Management, Tsinghua University, Beijing 100084, China)

Abstract

This study examines how FUN&EAT’s “AI+Unmanned” strategy affects system resilience in sustainable operations management. This study is based on a mixed design, combining a case study with a survey study, and uses 499 valid samples and tests the effects of AI-driven decision-making capability, resource allocation flexibility, risk forecasting ability, system synergy capability, and resource optimization ability. The results show that all five factors have significant positive effects on system resilience. Resource optimization ability has the strongest effect, followed by AI-driven decision-making capability. The mediation results show that risk forecasting ability partially mediates the effects of system synergy capability and resource allocation flexibility on system resilience. However, risk forecasting ability does not mediate the effects of resource optimization ability and AI-driven decision-making capability. The findings indicate that FUN&EAT can improve operational resilience through intelligent decision-making, flexible resource allocation, risk prediction, system coordination, and resource optimization.

Suggested Citation

  • Yuanyuan Guo, 2026. "How Does the ‘FUN&EAT’ AI+Unmanned Strategy Affect the System Resilience of Sustainable Operations Management?," Sustainability, MDPI, vol. 18(12), pages 1-31, June.
    • Handle: RePEc:gam:jsusta:v:18:y:2026:i:12:p:6064-:d:1966101
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