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Cited by 367Agricultural Innovations and PracticesInnovation Diffusion and ForecastingAgricultural Development and Management

The DOI matches its Crossref record; 81 of the 87 references it cites were found in a registry or an index.

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

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Kuehne, Geoff, Llewellyn, Rick, Pannell, David J., Wilkinson, Roger, Dolling, Perry, Ouzman, Jackie, Ewing, Mike·2017·Agricultural Systems
DOI 10.1016/j.agsy.2017.06.007
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Abstract

There is much existing knowledge about the factors that influence adoption of new practices in agriculture but few attempts have been made to construct predictive quantitative models of adoption for use by those planning agricultural research, development, extension and policy. ADOPT (Adoption and Diffusion Outcome Prediction Tool) is the result of such an attempt, providing predictions of a practice's likely rate and peak level of adoption as well as estimating the importance of various factors influencing adoption. It employs a conceptual framework that incorporates a range of variables, including variables related to economics, risk, environmental outcomes, farmer networks, characteristics of the farm and the farmer, and the ease and convenience of the new practice. The ability to learn about the relative advantage of the practice, as influenced by characteristics of both the practice and the potential adopters, plays a central role. Users of ADOPT respond to 22 questions related to: a) characteristics of the practice that influence its relative advantage, b) characteristics of the population influencing their perceptions of the relative advantage of the practice, c) characteristics of the practice influencing the ease and speed of learning about it, and d) characteristics of the potential adopters that influence their ability to learn about the practice. ADOPT provides a prediction of the diffusion curve of the practice and sensitivity analyses of the factors influencing the speed and peak level of adoption. In this paper the model is described and its ability to predict the diffusion of agricultural practices is demonstrated using examples of new crop types, new cropping technology and grazing options. As well as providing predictions, ADOPT is designed to increase the conceptual understanding and consideration of the adoption process by those involved in agricultural research, development, extension and policy.

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  1. Addison, 2015, Summary report: the cost-effectiveness protocol used to assist in the prioritisation of the second phase of Reef Trust investment
  2. Farquharson, 2013, Characteristics of an agricultural innovation and incentives for adoption: rhizobium in Cambodia, Int. J. Environ. Rural. Dev., 4, 44
  3. James, 2015, It's all about the benefits: why extension professionals adopt Web 2.0 technologies, Rural Ext. Innov. Syst. J., 11, 72

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Metadata

Authors
Kuehne, G., Llewellyn, R., Pannell, D. J., Wilkinson, R., Dolling, P., Ouzman, J., & Ewing, M.
Affiliations
  • Commonwealth Scientific and Industrial Research Organisation (AU)
  • The University of Western Australia (AU)
  • Department of Economic Development Jobs Transport and Resources (AU)
  • Department of Agriculture and Food Western Australia (AU)
  • Institut des Systèmes Complexes Paris Île-de-France (FR)
Corresponding author
Llewellyn, Rick
ORCID
Venue
Agricultural Systems
Publisher
Elsevier BV
Published
2017-09
Volume
156
Pages
115-125
ISSN
0308-521X (ISSN-L)
DOI
10.1016/j.agsy.2017.06.007
OpenAlex
W2717963309
Cited by
367
References
87
Citations by year
2026: 38 · 2025: 39 · 2024: 45 · 2023: 44 · 2022: 51 · 2021: 55 · 2020: 41 · 2019: 36 · 2018: 17 · 2017: 1
FWCI
68.39
Type
journal article
Language
en
Open access
Licence
Locations
  • Agricultural Systems (publishedVersion, cc-by-nc-nd)
  • UWA Profiles and Research Repository (UWA) (publishedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • Grains Research and Development Corporation
  • Australian Centre for International Agricultural Research
  • CSIRO
  • University of Western Australia
  • Australian Research Council Centre of Excellence for Environmental Decisions (CE11E0083)
Topics
  • Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
  • Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Development and Management
Keywords
technology adoption, agricultural practices, diffusion of innovations, ADOPT, relative advantage, risk perception, farmer networks, ease of learning, diffusion curves, agricultural extension, agricultural policy

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