Adoption of ICT4D and its determinants: A systematic review and meta-analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41340%2F24%3A100870" target="_blank" >RIV/60460709:41340/24:100870 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.heliyon.2024.e30210" target="_blank" >https://doi.org/10.1016/j.heliyon.2024.e30210</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.heliyon.2024.e30210" target="_blank" >10.1016/j.heliyon.2024.e30210</a>
Alternative languages
Result language
angličtina
Original language name
Adoption of ICT4D and its determinants: A systematic review and meta-analysis
Original language 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10700 - Other natural sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Heliyon
ISSN
2405-8440
e-ISSN
2405-8440
Volume of the periodical
10
Issue of the periodical within the volume
MAY 15 2024
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
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UT code for WoS article
001236752200001
EID of the result in the Scopus database
2-s2.0-85191303636