Recent global events such as the COVID-19 pandemic, the political conflict, and ongoing living crisis and inflation have increasingly driven individuals and families into the critical state of food insecurity. To rescue the situation, food sharing initiatives such as food sharing organisations and projects have been implemented across many countries. One of the primary challenges faced by food sharing organisations is the lack of decision-making support to enhance operational efficiency and create community value. In order to address this issue and provide a well-grounded theoretical approach for support decision-making and create community value in food sharing communities, this paper investigated the role of peer learning cycle in supporting decision making for food sharing organisations and creating closed-loop community networks in food sharing communities. A Systematic Literature and Practice Review (SLPR) has been undertaken. Based on the SLPR, the PeersForFood framework has been developed to illustrate how a peer learning cycle model can support decision-making processes in food sharing organisations and facilitate the creation of closed-loop community value networks within food sharing communities. The PeersForFood framework contributes to new knowledge and practice, offering valuable insights and efficient recommendations for decision-makers in food sharing organisations and strengthening the resilience of food sharing communities.