Adoption of ICT4D and its determinants: A systematic review and meta-analysis

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cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationCzech University of Life Sciences Pragueen
cg.contributor.affiliationAfrica Rice Centeren
cg.contributor.affiliationUniversity of Victoriaen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.donorGovernment of Belgiumen
cg.contributor.donorInternational Fund for Agricultural Developmenten
cg.contributor.initiativeWest and Central African Food Systems Transformation
cg.contributor.initiativeExcellence in Agronomy
cg.creator.identifierAminou Arouna: 0000-0001-9118-472Xen
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1016/j.heliyon.2024.e30210en
cg.isijournalISI Journalen
cg.issn2405-8440en
cg.issue9en
cg.journalHeliyonen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactAreaPoverty reduction, livelihoods and jobs
cg.subject.impactPlatformNutrition, Health and Food Security
cg.volume10en
dc.contributor.authorAmoussouhoui, R.en
dc.contributor.authorArouna, Aminouen
dc.contributor.authorRuzzante, S.en
dc.contributor.authorBanout, J.en
dc.date.accessioned2024-10-29T06:35:55Zen
dc.date.available2024-10-29T06:35:55Zen
dc.identifier.urihttps://hdl.handle.net/10568/158208
dc.titleAdoption of ICT4D and its determinants: A systematic review and meta-analysisen
dcterms.abstractVarious 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.en
dcterms.accessRightsOpen Access
dcterms.audienceCGIARen
dcterms.audienceDonorsen
dcterms.audienceScientistsen
dcterms.available2024-04-25en
dcterms.bibliographicCitationAmoussouhoui, 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.en
dcterms.extente30210en
dcterms.issued2024-05-15en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevieren
dcterms.replaceshttps://hdl.handle.net/10568/173299en
dcterms.subjectagricultural practicesen
dcterms.subjectadoptionen
dcterms.subjectmeta-analysisen
dcterms.subjecttechnology adoptionen
dcterms.subjecteconomic analysisen
dcterms.subjectsystems analysisen
dcterms.typeJournal Article

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