Farm Machinery-as-a-Service as a Pathway to Inclusive Digital Agriculture in Fragmented Agrarian Systems: A Study Protocol from Poland

This study protocol presents a pre-specified framework for assessing whether Farm Machinery-as-a-Service (FMaaS) can support inclusive access to Agriculture 4.0 in fragmented agrarian systems. The aim of the protocol is to define the conceptual framework, research questions, hypotheses, target population, sampling strategy, data collection procedures and planned analytical approach for a future empirical study using Poland as a case of a fragmented, family-farm-based agricultural system in which many small and medium-sized farms face difficulties in keeping pace with Agriculture 4.0. The manuscript does not report empirical results or human-subject data. The planned study will use a sequential mixed-methods design in which each component has a specific role. Secondary data analysis will diagnose farm structural conditions, machinery-use patterns, productivity gaps and innovation gaps. Expert and stakeholder interviews will refine the typology of FMaaS arrangements and identify relevant service attributes. A farm survey and a discrete choice experiment will assess farmers’ willingness to use FMaaS, perceived transaction costs, trust, digital readiness and preferences for specific service characteristics. Farm-level economic modeling and Monte Carlo simulation will evaluate the viability of ownership-based and service-based modernization scenarios under uncertainty. Structural equation modeling will examine social-sustainability mechanisms, including adaptive capacity, perceived resilience, perceived inclusion in digital agriculture and the perceived ability to continue farming under technological change. The expected output of the protocol is an integrated analytical framework for evaluating the economic, institutional, resource-use and social conditions under which FMaaS may become a viable and socially acceptable pathway to Agriculture 4.0. By combining transaction-cost theory, market-design reasoning, stated-preference methods, farm-level modeling and social-sustainability assessment, the protocol provides a transparent basis for future empirical research on access-based digital mechanization.