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

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cg.authorship.typesCGIAR and advanced research institute
cg.contributor.affiliationCzech University of Life Sciences
cg.contributor.affiliationAfrica Rice Center
cg.contributor.affiliationUniversity of Victoria
cg.contributor.donorCGIAR Trust Fund
cg.contributor.donorGovernment of Belgium
cg.contributor.donorInternational Fund for Agricultural Development
cg.contributor.initiativeWest and Central African Food Systems Transformation
cg.contributor.initiativeExcellence in Agronomy
cg.creator.identifierAminou Arouna: 0000-0001-9118-472X
cg.howPublishedFormally Published
cg.identifier.doihttps://doi.org/10.1016/j.heliyon.2024.e30210
cg.isijournalISI Journal
cg.issn2405-8440
cg.issue9
cg.journalHeliyon
cg.numbere30210
cg.reviewStatusPeer Review
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.volume10
dc.contributor.authorAmoussouhoui, R.
dc.contributor.authorArouna, Aminou
dc.contributor.authorRuzzante, S.
dc.contributor.authorBanout, J.
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.audienceCGIAR
dcterms.audienceDonors
dcterms.audienceScientists
dcterms.available2024-04-25
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.issued2024-05
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevier
dcterms.replaceshttps://hdl.handle.net/10568/173299
dcterms.subjectagricultural practicesen
dcterms.subjectadoptionen
dcterms.subjectmeta-analysisen
dcterms.subjecttechnology adoptionen
dcterms.subjecteconomic analysisen
dcterms.subjectsystems analysisen
dcterms.typeJournal Article

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