Abstract
The aim of this research was to improve understanding of how to best predict adoption of agricultural innovations by analysing key aspects of model construction and use. This research consisted of four research components: A systematic review of conceptual models of adoption, a meta-analysis of numerical models, a study that developed and applied "adoption pathways analysis" and a study on perceptions of extension officers on the use of predictive models of adoption to support planning. Findings from this research can assist those involved with agricultural research, modelling, policymaking and extension to improve the uptake of future beneficial agricultural innovations.
| Original language | English |
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| Qualification | Doctor of Philosophy |
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| Award date | 7 May 2021 |
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| Publication status | Unpublished - 2021 |
Access to Document
- THESIS - DOCTOR OF PHILOSOPHY - MONTES DE OCA MUNGUIA, Oscar Efrain - 2021
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