Mapping the research of digital transformation in agriculture

Abstract

This study aims to systematically map the rapidly growing research landscape on Digital Transformation in Agriculture (DTA). A bibliometric analysis was conducted on 96 documents related to DTA, sourced from the Scopus database. The research methodology encompasses co-occurrence keyword and co-citation analyses, focusing on 2019 to 2023. The study reveals a significant annual increase in the volume of publications, with Russia emerging as the leading contributor. The co-word analysis identifies three dominant research themes, characterized by 17 keywords with a minimum occurrence of five times. The clusters are innovation and agrifood-tech, sustainable agricultural development and digital economy, digitalization of agriculture, and Russia. The co-citation analysis for cited authors created a network of four clusters of innovation efforts in agriculture, information systems on farms, the role of business models and dynamic capabilities in sustainable intensification, and the challenges, opportunities, and sustainability of DTA. The findings indicate that research on DTA is still developing, with significant research gaps remaining. This study aims to contribute to the field's academic literature and practical applications.