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2. Application of multiple behaviour change models to identify determinants of farmers' biosecurity attitudes and behaviours
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Richens, I.F. (author), Houdmont, J. (author), Wapenaar, W. (author), Shortall, O. (author), Kaler, J. (author), and O'Connor, H. (author)
- Format:
- Journal article
- Publication Date:
- 2018
- Published:
- United Kingdom
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 5 Document Number: D10193
- Journal Title:
- Preventive Veterinary Medicine
- Journal Title Details:
- 155 : 61-74
- Notes:
- 13 pages., Via UI online subscription.
3. Poisson count models to explain the adoption of agricultural and natural resource management technologies by small farmers in central American countries
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Ramirez, Octavio A. (author) and Shultz, Steven (author)
- Format:
- Journal article
- Publication Date:
- 2001-04
- Published:
- USA
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C18686
- Journal Title:
- Journal of Agricultural and Applied Economics
- Journal Title Details:
- 32 (1) : 31-33
- Notes:
- Evaluation of the factors influencing the adoption of agricultural and natural resource management technologies among small farmers in developing countries have been mostly limited to qualitative discussions or simple descriptive statistics resulting in superficial and inconclusive findings. This study introduces the use of Poisson Count Regressions as a statistically appropriate procedure to analyze certain common types of adoption data. It uses them to assess the impact of key socio-economic, bio-physical, and institutional factors on the adoption of integrated pest management, agroforestry, and soil conservation technologies among small farmers in three Central American countries: Costa Rica, Panama, and El Salvador
4. Predicting the rate of adoption of agricultural innovations
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Kaine, Geoff (author), Seymour, Eloise (author), Wright, Vic (author), and Longley, Sam (author)
- Format:
- Abstract
- Publication Date:
- 2013-08
- Published:
- Australia
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D02423
- Notes:
- Page 39 - Abstract of a paper presented at the International Conference of the Australasia Pacific Extension Network (APEN), Lincoln University, Christchurch, New Zealand, August 26-28, 2013. 100 pages.
5. Theories and models of technology adoption in agricultural sector
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- Dissanayake, C.A.K. (author), Jayathilake, W. (author), Wickramasuriya, H.V.A. (author), Kopiyawattage, K.P.P. (author), and Wasala, W.M.C.B. (author)
- Format:
- Journal article
- Publication Date:
- 2022-11-29
- Published:
- England: Hindawi Limited
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 206 Document Number: D12803
- Journal Title:
- Human Behavior and Emerging Technologies
- Journal Title Details:
- Online
- Notes:
- 15pgs, Agriculture is crucial in catering to the increasing demand for food and employment. Thus, adoption of novel technologies is important. Many scientists have developed different theories and models explaining the process of behavioral change relevant to adoption. They are either completely different, similar, or improvements of previously developed models. Therefore, compilation and summarization of these theories and models will support future studies and researchers. Thus, an analysis of literature on technology adoption was conducted. The review was prepared based on literature from various sources spanning around 50 years. The theories and models identified by different studies were compiled and analyzed in this review paper. Many theories and models in agricultural technology adoption such as transtheoretical model, theory of reasoned action, theory of interpersonal behavior, model for innovation-decision process, different versions of technology acceptance model, theory of planned behavior, theory of diffusion of innovation, task-technology fit, technology readiness, unified theory of acceptance and use of technology, expectancy livelihood model, social cognitive theory, and perceived characteristics of innovating theory were compiled. Each theory and model has its own uniqueness, which had explained different aspects of technology adoption process and factors determining the behavioral change. These theories and models included affecting factors such as technological, personal, social, and economical factors. In conclusion, it can be stated that, rather than having a single theory or a model, an integrated and amalgamated form will be more explanatory for technology adoption.
6. Using the better practices process to improve performance
- Collection:
- Agricultural Communications Documentation Center (ACDC)
- Contributers:
- McCartney, Andrew (author), Tonge, Fleur (author), and Rea, Elwyn (author)
- Format:
- Conference paper
- Publication Date:
- 2001-10-05
- Published:
- Australia
- Location:
- Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 119 Document Number: C13519
- Notes:
- 6 p., APEN (Australasia Pacific Extension Network) 2001 International Conference, Oct3-5, 2001, at University of South queensland, Toowoomba, Queensland, Australia