Predicting farmer uptake of new agricultural practices: A tool for research, extension and policy

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Kuehne, Geoff; Llewellyn, Rick ORCID ID icon; Pannell, David; Wilkinson, Roger; Dolling, Perry; Ouzman, Jackie ORCID ID icon; Ewing, Michael


2017-06-21


Journal Article


Agricultural Systems


156


115-125


There is much existing knowledge about how the adoption of innovations in agriculture occurs but few attempts have been made to construct a predictive model for use by those planning agricultural research, development, extension and policy. ADOPT (Adoption and Diffusion Outcome Prediction Tool) applies a paradigm based on learning and the relative-advantage of innovation adoption to: 1) predict an innovation’s peak adoption level and the time taken to reach that level; 2) assist users to consider the influence of a structured set of factors affecting adoption; and 3) engage users of the tool by making adoptability knowledge and considerations more readily available and understandable. Users of ADOPT respond to a set of questions related to: 1) characteristics of the innovation that influence its relative advantage, 2) characteristics of the population reflecting their preferences for different innovation characteristics, 3) characteristics of the innovation influencing the ease and speed of learning about it, and 4) the capacity of the potential adopters for learning. The tool provides an estimate of the diffusion curve of the innovation and a sensitivity analysis of the factors influencing the speed and peak level of adoption.


Elsevier Masson


ADOPT, Adoption, Diffusion, Innovation, Technology, Agriculture,


Agricultural Economics


https://doi.org/10.1016/j.agsy.2017.06.007


EP146784


Journal article - Refereed


English


Kuehne, Geoff; Llewellyn, Rick; Pannell, David; Wilkinson, Roger; Dolling, Perry; Ouzman, Jackie; Ewing, Michael. Predicting farmer uptake of new agricultural practices: A tool for research, extension and policy. Agricultural Systems. 2017; 156:115-125. https://doi.org/10.1016/j.agsy.2017.06.007



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