As a solution to tackle the food waste (FW) challenge, digitally enabled food sharing platforms (FSPs) are emerging as FW warriors and anti-waste social movements. Despite the rapidly growing number of users, the amount of FW prevented per user in these platforms is relatively low. Hence, the real contribution of FSPs to the circular economy (CE) by preventing FW is still blurred. To fill this gap, a System Dynamics simulation model is developed in this research to unfold how people adopt such platforms over time, and how such platforms contribute to the CE through FW prevention. The model is used to simulate the adoption and performance of Italy's Too Good To Go (TGTG) platform spanning 2015-2060 as a reference case. The results show that although TGTG is a successful FSP in terms of adoption, it can still significantly improve in terms of performance. Besides, while the current TGTG's marketing strategy is effective, knowledge-enhancing activities should be strengthened to improve performance. Hence, this research recommends a winning policy, which can reduce approximately 3% of the total FW generated at the country level (Italy) in 2060, a significant contribution to the CE transition.

作为应对食物浪费 (FW) 挑战的解决方案，数字化食品共享平台 (FSP) 正在成为 FW 战士和反浪费社会运动。尽管用户数量迅速增长，但这些平台中每个用户阻止的防火墙数量相对较低。因此，FSP 通过防止 FW 对循环经济（CE）的真正贡献仍然模糊。为了填补这一空白，本研究开发了系统动力学仿真模型，以展示人们如何随着时间的推移采用此类平台，以及此类平台如何通过固件预防为 CE 做出贡献。该模型用于模拟 2015 年至 2060 年意大利 Too Good To Go (TGTG) 平台的采用和性能作为参考案例。结果表明，虽然TGTG在采用方面是一个成功的FSP，但在性能方面仍然可以显着提高。此外，虽然目前TGTG的营销策略是有效的，但仍应加强知识增强活动以提高绩效。因此，本研究提出了一项获胜政策，该政策可以在 2060 年减少国家层面（意大利）产生的 FW 总量的约 3%，这对 CE 转型做出了重大贡献。