Theories and Models of Technology Adoption in Agricultural Sector
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,...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Hindawi-Wiley
2022-01-01
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| Series: | Human Behavior and Emerging Technologies |
| Online Access: | http://dx.doi.org/10.1155/2022/9258317 |
| _version_ | 1811179121760272384 |
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| author | C. A. K. Dissanayake W. Jayathilake H. V. A. Wickramasuriya U. Dissanayake K. P. P. Kopiyawattage W. M. C. B. Wasala |
| author_facet | C. A. K. Dissanayake W. Jayathilake H. V. A. Wickramasuriya U. Dissanayake K. P. P. Kopiyawattage W. M. C. B. Wasala |
| author_sort | C. A. K. Dissanayake |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T06:30:27Z |
| format | Article |
| id | doaj.art-507b414c53b04bccb8c36392546cf396 |
| institution | Directory Open Access Journal |
| issn | 2578-1863 |
| language | English |
| last_indexed | 2024-04-11T06:30:27Z |
| publishDate | 2022-01-01 |
| publisher | Hindawi-Wiley |
| record_format | Article |
| series | Human Behavior and Emerging Technologies |
| spelling | doaj.art-507b414c53b04bccb8c36392546cf3962022-12-22T04:40:08ZengHindawi-WileyHuman Behavior and Emerging Technologies2578-18632022-01-01202210.1155/2022/9258317Theories and Models of Technology Adoption in Agricultural SectorC. A. K. Dissanayake0W. Jayathilake1H. V. A. Wickramasuriya2U. Dissanayake3K. P. P. Kopiyawattage4W. M. C. B. Wasala5Department of Animal and Food SciencesDepartment of Agricultural ExtensionDepartment of Agricultural ExtensionDepartment of Agricultural ExtensionDepartment of Agricultural SystemsNational Institute of Post Harvest ManagementAgriculture 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.http://dx.doi.org/10.1155/2022/9258317 |
| spellingShingle | C. A. K. Dissanayake W. Jayathilake H. V. A. Wickramasuriya U. Dissanayake K. P. P. Kopiyawattage W. M. C. B. Wasala Theories and Models of Technology Adoption in Agricultural Sector Human Behavior and Emerging Technologies |
| title | Theories and Models of Technology Adoption in Agricultural Sector |
| title_full | Theories and Models of Technology Adoption in Agricultural Sector |
| title_fullStr | Theories and Models of Technology Adoption in Agricultural Sector |
| title_full_unstemmed | Theories and Models of Technology Adoption in Agricultural Sector |
| title_short | Theories and Models of Technology Adoption in Agricultural Sector |
| title_sort | theories and models of technology adoption in agricultural sector |
| url | http://dx.doi.org/10.1155/2022/9258317 |
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