Adoption of ICT4D and its determinants: A systematic review and meta-analysis
Various Digital Agricultural Technologies (DAT) have been developed and implemented around the world. This study aims to estimate the overall adoption rate and identify the determinant factors for a better adoption perspective after decades of innovation and dissemination. A systematic review was co...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/158208 |
| _version_ | 1855533910311567360 |
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| author | Amoussouhoui, R. Arouna, Aminou Ruzzante, S. Banout, J. |
| author_browse | Amoussouhoui, R. Arouna, Aminou Banout, J. Ruzzante, S. |
| author_facet | Amoussouhoui, R. Arouna, Aminou Ruzzante, S. Banout, J. |
| author_sort | Amoussouhoui, R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Various Digital Agricultural Technologies (DAT) have been developed and implemented around the world. This study aims to estimate the overall adoption rate and identify the determinant factors for a better adoption perspective after decades of innovation and dissemination. A systematic review was conducted on published studies that reported adoption rates and determinant factors using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. We used meta-regression and the partial correlation coefficient to estimate the effect size and establish the correlation between socioeconomic characteristics and the adoption of various technologies reported. Fifty-two studies with 32400 participants met the selection criteria and were included in the study. The results revealed an overall pooled adoption rate of 39 %, with the highest adoption rates in developing countries in Africa and South America. Socioeconomic factors such as age, education, gender, and income were found to be the main determinants and should be considered when designing technology for sustainable adoption. The study also found that young farmers were more susceptible to adoption. Moreover, farmers with higher income levels and educational attainment are more likely to use technology linked to agricultural production, market access, and digital advising, implying that high-income farmers with more education are more tech-savvy. However, this does not exclude low-income and low-educated farmers from adopting the technologies, as many models and strategies with socioeconomic considerations were developed. It is one of the reasons behind the underlying enthusiasm for digital agricultural adoption in low and middle-income countries. |
| format | Journal Article |
| id | CGSpace158208 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1582082025-12-08T09:54:28Z Adoption of ICT4D and its determinants: A systematic review and meta-analysis Amoussouhoui, R. Arouna, Aminou Ruzzante, S. Banout, J. agricultural practices adoption meta-analysis technology adoption economic analysis systems analysis Various Digital Agricultural Technologies (DAT) have been developed and implemented around the world. This study aims to estimate the overall adoption rate and identify the determinant factors for a better adoption perspective after decades of innovation and dissemination. A systematic review was conducted on published studies that reported adoption rates and determinant factors using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. We used meta-regression and the partial correlation coefficient to estimate the effect size and establish the correlation between socioeconomic characteristics and the adoption of various technologies reported. Fifty-two studies with 32400 participants met the selection criteria and were included in the study. The results revealed an overall pooled adoption rate of 39 %, with the highest adoption rates in developing countries in Africa and South America. Socioeconomic factors such as age, education, gender, and income were found to be the main determinants and should be considered when designing technology for sustainable adoption. The study also found that young farmers were more susceptible to adoption. Moreover, farmers with higher income levels and educational attainment are more likely to use technology linked to agricultural production, market access, and digital advising, implying that high-income farmers with more education are more tech-savvy. However, this does not exclude low-income and low-educated farmers from adopting the technologies, as many models and strategies with socioeconomic considerations were developed. It is one of the reasons behind the underlying enthusiasm for digital agricultural adoption in low and middle-income countries. 2024-05 2024-10-29T06:35:55Z 2024-10-29T06:35:55Z Journal Article https://hdl.handle.net/10568/158208 en Open Access Elsevier Amoussouhoui, R., Arouna, A., Ruzzantec, S. and Banout, J. 2024. Adoption of ICT4D and its determinants: A systematic review and meta-analysis. Heliyon 10(9):e30210. |
| spellingShingle | agricultural practices adoption meta-analysis technology adoption economic analysis systems analysis Amoussouhoui, R. Arouna, Aminou Ruzzante, S. Banout, J. Adoption of ICT4D and its determinants: A systematic review and meta-analysis |
| title | Adoption of ICT4D and its determinants: A systematic review and meta-analysis |
| title_full | Adoption of ICT4D and its determinants: A systematic review and meta-analysis |
| title_fullStr | Adoption of ICT4D and its determinants: A systematic review and meta-analysis |
| title_full_unstemmed | Adoption of ICT4D and its determinants: A systematic review and meta-analysis |
| title_short | Adoption of ICT4D and its determinants: A systematic review and meta-analysis |
| title_sort | adoption of ict4d and its determinants a systematic review and meta analysis |
| topic | agricultural practices adoption meta-analysis technology adoption economic analysis systems analysis |
| url | https://hdl.handle.net/10568/158208 |
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