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Digital technologies are increasingly recognized as key tools for improving productivity and supporting rural development in agricultural systems. However, their effective adoption by small-scale producers remains limited in many developing regions. This study analyses the determinants of mobile application adoption among livestock farmers in Amazonas, Peru. Using a structural equation model (PLS-SEM) based on survey data from 160 producers in rural areas, the results show that perceived ease of use is the main driver of adoption, directly influencing farmers’ intention to use mobile applications and significantly determining perceived usefulness, which acts as a key mediating factor. Despite widespread smartphone ownership, their use is largely limited to communication and social media rather than production management, mainly due to barriers such as mistrust, limited rural connectivity, and insufficient digital knowledge. The findings suggest that effective adoption requires integrated strategies that combine the development of user-friendly applications, the demonstration of their economic benefits for producers, and public policies aimed at improving digital infrastructure and strengthening digital skills. By identifying the key determinants of adoption, this study contributes to understanding how mobile technologies can support productivity improvements and promote rural development in livestock systems in the Peruvian Amazon.
Sopla et al. (2026) studied this question.