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Reinventing French Agriculture: The Era of Farmers 4.0, Technological Innovation and Sustainability

Reinventing French Agriculture: The Era of Farmers 4.0, Technological Innovation and Sustainability

Claude Chammaa, Fatma Fourati-Jamoussi, Lucian Ceapraz, Valérie Leroux
This study investigates the behavioral, contextual, and economic factors that influence French farmers' adoption of innovative agricultural technologies. Using a mixed-methods approach that combines qualitative interviews and quantitative surveys, the research proposes and validates the French Farming Innovation Adoption (FFIA) model, an agricultural adaptation of the UTAUT2 model, to explain technology usage.

Problem The agricultural sector is rapidly transforming with digital innovation, but the factors driving technology adoption among farmers, particularly in cost-sensitive and highly regulated environments like France, are not fully understood. Existing technology acceptance models often fail to capture the central role of economic viability, leaving a gap in explaining how sustainability goals and policy supports translate into practical adoption.

Outcome - The most significant direct predictor of technology adoption is 'Price Value'; farmers prioritize innovations they perceive as economically beneficial and cost-effective.
- Traditional drivers like government subsidies (Facilitating Conditions), expected performance, and social influence do not directly impact technology use. Instead, their influence is indirect, mediated through the farmer's perception of the technology's price value.
- Perceived sustainability benefits alone do not significantly drive adoption. For farmers to invest, environmental advantages must be clearly linked to economic gains, such as reduced costs or increased yields.
- Economic appraisal is the critical filter through which farmers evaluate new technologies, making it the central consideration in their decision-making process.
Farmers 4.0, Technology Adoption, Sustainability, Agricultural Innovation, UTAUT2, Price Value, Artificial Intelligence