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Drivers and barriers to precision agriculture technology and digitalisation adoption: Meta-analysis of decision choice models

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dc.abstract.enThe article defines the key determinants of adopting precision agriculture technologies and digitalisation. The research objectives are fulfilled by the systematic review and meta-analysis of relevant studies, identified and selected in accordance with the PRISMA protocol in the Web of Science and Scopus databases. The findings emphasize the importance of socio-economic factors, such as education, age, and farm size. High technical literacy and adequate information about new technologies—including their expected profitability—are crucial for assessing the benefits of precision agriculture and digitalisation, on which a more considerable expansion of these technologies into the practice of agricultural entities depends. Large and capital-intensive enterprises are more likely to implement new technologies in production practices, especially if they are led by younger and more educated managers who are more open to modern technologies and are more willing to take risks.
dc.affiliationWydział Ekonomiczny
dc.affiliation.instituteKatedra Ekonomii i Polityki Gospodarczej w Agrobiznesie
dc.contributor.authorKroupová, Zdeňka Žáková
dc.contributor.authorAulová, Renata
dc.contributor.authorRumánková, Lenka
dc.contributor.authorBajan, Bartłomiej
dc.contributor.authorČechura, Lukáš
dc.contributor.authorŠimek, Pavel
dc.contributor.authorJarolímek, Jan
dc.date.access2026-01-26
dc.date.accessioned2025-03-04T12:25:51Z
dc.date.available2025-03-04T12:25:51Z
dc.date.copyright2024-12-27
dc.date.issued2025
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if6,6
dc.description.number1
dc.description.points140
dc.description.versionfinal_published
dc.description.volume26
dc.identifier.doi10.1007/s11119-024-10213-1
dc.identifier.eissn1573-1618
dc.identifier.issn1385-2256
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/2539
dc.identifier.weblinkhttps://link.springer.com/article/10.1007/s11119-024-10213-1
dc.languageen
dc.pbn.affiliationeconomics and finance
dc.relation.ispartofPrecision Agriculture
dc.relation.pagesart. 17
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOTHER
dc.subject.enprecision farming
dc.subject.endigitalisation
dc.subject.enadoption
dc.subject.enmeta-analysis
dc.subject.enPRISMA
dc.titleDrivers and barriers to precision agriculture technology and digitalisation adoption: Meta-analysis of decision choice models
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume26