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ADOPT   the  A doption  and   D iffusion O utcome    P rediction  T ool
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Guide to this Presentation
What does ADOPT do?  ,[object Object],[object Object],[object Object]
Assumptions ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Who has developed ADOPT?
What are the goals for ADOPT? ,[object Object],[object Object],[object Object],[object Object]
Adoption influences conceptualised as quadrants Relative Advantage  for the  Population  Population -specific influences on the ability to  learn  about the Innovation  Learnability   Characteristics of the  Innovation Relative Advantage  of the  Innovation
ADOPT Conceptual Framework ADOPT Conceptual Framework Relative Advantage for the  Population  Population -specific influences on the ability to learn about the Innovation  Learnability Characteristics of the  Innovation Relative Advantage of the  Innovation  11.Group involvement 10. Advisory support 12. Relevant existing skills and knowledge Networks Farmers networks & skills Learning of Relative Advantage Time to Peak Adoption Trialability of innovation 8. Innovation complexity 7. Trialing ease 9. Observability 13. Innovation awareness Peak Adoption Level 14. Relative upfront cost of innovation 15. Reversibility  of innovation 3. Risk orientation 4. Enterprise scale 5. Management horizon 1. Profit orientation 6. Short-term constraints 2. Environmental orientation 18. Time for profit benefits to be realised 20. Time for environmental benefits to be realised 19. Environment 22. Ease & convenience 21. Risk Investment cost 17. Profit benefit in future 16. Profit benefit in years used Relative Advantage
Data entry page  (22 questions)
Each question requires  users to make a choice between responses
Numeric outputs are: Time to Peak Adoption  & Peak Adoption Level
A sensitivity chart can be generated This allows users to identify the variables having the largest effect on adoption and diffusion
All outputs can also be generated as a printed report
Feedback from Users (1) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Feedback from Users (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ADOPT was validated using the introduction of narrow-leafed lupins in Western Australia The prediction provided by ADOPT Actual lupin diffusion curves
For more information on ADOPT contact:  Dr. Geoff Kuehne   [email_address] or Dr. Rick Llewellyn (project leader) [email_address]

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ADOPT 2012 FFI CRC

  • 1. ADOPT the A doption and D iffusion O utcome P rediction T ool
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. Adoption influences conceptualised as quadrants Relative Advantage for the Population Population -specific influences on the ability to learn about the Innovation Learnability Characteristics of the Innovation Relative Advantage of the Innovation
  • 8. ADOPT Conceptual Framework ADOPT Conceptual Framework Relative Advantage for the Population Population -specific influences on the ability to learn about the Innovation Learnability Characteristics of the Innovation Relative Advantage of the Innovation 11.Group involvement 10. Advisory support 12. Relevant existing skills and knowledge Networks Farmers networks & skills Learning of Relative Advantage Time to Peak Adoption Trialability of innovation 8. Innovation complexity 7. Trialing ease 9. Observability 13. Innovation awareness Peak Adoption Level 14. Relative upfront cost of innovation 15. Reversibility of innovation 3. Risk orientation 4. Enterprise scale 5. Management horizon 1. Profit orientation 6. Short-term constraints 2. Environmental orientation 18. Time for profit benefits to be realised 20. Time for environmental benefits to be realised 19. Environment 22. Ease & convenience 21. Risk Investment cost 17. Profit benefit in future 16. Profit benefit in years used Relative Advantage
  • 9. Data entry page (22 questions)
  • 10. Each question requires users to make a choice between responses
  • 11. Numeric outputs are: Time to Peak Adoption & Peak Adoption Level
  • 12. A sensitivity chart can be generated This allows users to identify the variables having the largest effect on adoption and diffusion
  • 13. All outputs can also be generated as a printed report
  • 14.
  • 15.
  • 16. ADOPT was validated using the introduction of narrow-leafed lupins in Western Australia The prediction provided by ADOPT Actual lupin diffusion curves
  • 17. For more information on ADOPT contact: Dr. Geoff Kuehne   [email_address] or Dr. Rick Llewellyn (project leader) [email_address]