Predicting the adoption of innovations in agriculture

Oscar Montes de Oca Munguia

Research output: ThesisDoctoral Thesis

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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 languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Supervisors/Advisors
  • Pannell, David, Supervisor
  • Llewellyn, Rick, Supervisor
Thesis sponsors
Award date7 May 2021
DOIs
Publication statusUnpublished - 2021

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