{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:59:37Z","timestamp":1780765177782,"version":"3.54.1"},"reference-count":98,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2025,11,23]],"date-time":"2025-11-23T00:00:00Z","timestamp":1763856000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Ensuring the continuous supply and availability of food during long-term disruptions remains a critical challenge for agri-food supply chains (ASCs). Traditional resilience strategies, which focus on short-term recovery, often fall short during prolonged or systemic crises. This study examines how ASCs adapted during the COVID-19 pandemic, demonstrating that sustained food access was achieved through systemic adaptations that moved beyond resilience to a more enduring state of viability. Using qualitative data from interviews and focus group discussions across urban, semi-urban, and rural regions (spatial ecologies), the study explores event-level adaptations made by stakeholders within production, logistics, and consumption segments of the agri-food channels. To explain consumer decision-making when switching between ASC channels, a four-mode ASC classification (M1\u2013M4) and a Cost\u2013Availability\u2013Quality (CAQ) framework were developed. Here, a channel represents a distinct route through which fresh agri-food products flow from producers to consumers. Behaviour Over Time (BOT) graphs illustrate how channel usage evolved before, during, and after disruption. Findings reveal that viability was achieved through interconnected adaptations shaped by spatial context and enabled by digital tools, community networks, and policy support. The study provides a structured foundation for understanding ASC viability through real-world adaptation and offers a basis for future systems-modelling research.<\/jats:p>","DOI":"10.3390\/systems13121056","type":"journal-article","created":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T09:02:07Z","timestamp":1763974927000},"page":"1056","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Viable Agri-Food Supply Chains: Survival Through Systemic Adaptations"],"prefix":"10.3390","volume":"13","author":[{"given":"Kasuni","family":"Vidanagamachchi","sequence":"first","affiliation":[{"name":"School of Computer, Data and Mathematical Sciences, Western Sydney University, Parramatta, NSW 2150, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7445-588X","authenticated-orcid":false,"given":"Athula","family":"Ginige","sequence":"additional","affiliation":[{"name":"School of Computer, Data and Mathematical Sciences, Western Sydney University, Parramatta, NSW 2150, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dilupa","family":"Nakandala","sequence":"additional","affiliation":[{"name":"School of Business, Western Sydney University, Parramatta, NSW 2150, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,11,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1093\/fqsafe\/fyaa024","article-title":"Impact of COVID-19 on the food supply chain","volume":"4","author":"Aday","year":"2020","journal-title":"Food Qual. 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