Digital Transformation of Agricultural Extension in Indonesia: A Comprehensive Analysis

Abstract

Digital transformation in the field of agricultural extension is quite essential for agriculture in the future. The problem is that not all extension workers understand the use of cyber extension. The research objective is to explore the relationship between individual motivation (IM), social capital (SC), digital extension adoption (CEA), knowledge sharing (KS), and agricultural extension performance (EP) in Indonesia. The research method used was explanatory, with purposive location selection and a population focused on agricultural extension workers. Sampling was carried out using quota techniques. Data analysis in this study used Structural Equation Modeling with Partial Least Squares (SEM-PLS). More specifically, IM and SC act as construct variables, while CEA and KS not only act as construct variables but also as mediators. Agricultural Extension (EP) performance is measured as a latent variable. The research results reveal that all construct variables, namely IM, SC, CEA, and KS, positively and significantly influence the EP. These findings demonstrate the importance of these factors in supporting digital transformation in agricultural extension in Indonesia and can provide valuable guidance for decision-makers and practitioners in efforts to increase the effectiveness of agricultural extension using digital technology.