Relating inclusive innovations to Indigenous and local knowledge: a conceptual framework
| Autor: | Branwen Peddi, David Ludwig, Joost Dessein |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
Agriculture and Food Sciences
CHALLENGES Local knowledge PARTICIPATION Framework Social Sciences Agriculture SCIENCE FARMERS KNOWLEDGE ECOLOGICAL KNOWLEDGE AGRICULTURAL KNOWLEDGE TRADITIONAL KNOWLEDGE SYSTEMS Indigenous knowledge SCIENTIFIC-KNOWLEDGE Technologie and Innovatie MANAGEMENT Inclusive innovation Knowledge Technology and Innovation Life Science Kennis Kennis Technologie and Innovatie Agronomy and Crop Science |
| Zdroj: | AGRICULTURE AND HUMAN VALUES Agriculture and Human Values, 40(1), 395-408 Agriculture and Human Values 40 (2023) 1 |
| ISSN: | 0889-048X 1572-8366 |
| Popis: | The concept of inclusive innovation has become widely embraced in the agricultural domain and promises to overcome traditional innovation paradigms by emphasizing more balanced, sustainable, and just human-environmental relations. Indigenous and local knowledge play an increasingly important role in debates about inclusive innovation, highlighting the diversity of relevant actors and marginalized perspectives. At the same time, the positioning of Indigenous and local knowledge in innovation processes remains ambiguous and contested. This article addresses this positioning in the context of inclusive agricultural innovations by reviewing 65 publications through iterative inductive coding. The qualitative review generates a conceptual framework that distinguishes five different modes relating innovation processes to Indigenous and local knowledge. These modes differ in locating innovations in endogenous, exogenous, or hybrid knowledge production. Furthermore, they also differ in their conceptualizations of Indigenous and local knowledge as dynamic or static. The resulting matrix provides resources for navigating the complex epistemic and political relations between knowledge systems in the agricultural domain. |
| Databáze: | OpenAIRE |
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