Van Parys, E., Molina Maturano, J., Rad, M., Wahlberg, A., Östergren, K., Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, Gellynck, X., Schouteten, J.J., & De Steur, H.
(2025).
Recognizing complexity in agricultural innovation: Advancing responsible scaling using the Rapid Scaling Tool in Intermediate Value Chains.
Journal of Rural Studies 117 e103689. 10.1016/j.jrurstud.2025.103689.
Abstract
This study aims to develop and apply the Rapid Scaling Tool (RST), a novel instrument designed to facilitate the responsible scaling of agricultural innovations. The RST integrates the Sustainable Development Goals (SDGs) and targeted agri-food sustainability indicators into one comprehensive evaluation framework. Developed iteratively through literature reviews, expert consultations, and case studies, the RST relies on stakeholder collaboration from the early stages of innovation development. It provides a three-step process to ensure that scaling efforts align with environmental, economic, and social sustainability targets. This framework guides practitioners through the complexities of scaling agricultural innovations, and uses Intermediate Value Chains (IVCs)as a case study to identify indicators for responsible scaling. The concept of IVCs represents a novel organizational structure within agri-food chains, offering a middle ground between short and long chain structures. This paper details the methodology behind the RST and discusses its implications for transforming agri-food systems, by applying it to a case study involving a Swedish IVC for wild berry picking. The IVC case study illustrates how the RST can aid in preemptively identifying potential negative impacts and developing mitigation strategies, while offering a practical solution for addressing the design paradox in early-stage innovation assessments. Building on its flexible, user-friendly design, this makes the RST an essential tool for researchers, policymakers, and practitioners aiming to achieve impactful and sustainable outcomes for scaling innovations in the agri-food sector.
Item Type: | Article |
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Research Programs: | Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Novel Data Ecosystems for Sustainability (NODES) Young Scientists Summer Program (YSSP) |
Depositing User: | Luke Kirwan |
Date Deposited: | 05 May 2025 08:37 |
Last Modified: | 05 May 2025 08:37 |
URI: | https://pure.iiasa.ac.at/20560 |
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