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Promoting digital traceability in agriculture: A predictive approach to adoption and policy design in the olive sector

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  • Parra-López, Carlos
  • Reina-Usuga, Liliana
  • Garcia-Garcia, Guillermo
  • Carmona-Torres, Carmen

Abstract

Digital traceability systems (DTS) are essential for improving food safety, quality control and transparency in agricultural supply chains, thereby enhancing consumer health and confidence. Despite its potential, the adoption of DTS in traditional agricultural sectors remains limited due to several challenges. This study examines the adoption and diffusion of DTS in the olive sector in Andalusia, Spain - a region critical to global olive production - using the Adoption and Diffusion Outcome Prediction Tool (ADOPT). The study predicts moderate diffusion of DTS in the long term. Key factors influencing adoption are identified, including profitability, enterprise scale, ease and convenience, existing skills and knowledge, and the evaluability and complexity of DTS. A number of policy measures are proposed to increase DTS adoption. These include financial incentives, support strategies for large enterprises, technology simplification, highlighting environmental benefits, risk management initiatives, skills development and training, and strengthening advisory services. This research contributes to the understanding of digital transformation in agriculture, especially in traditional agricultural sectors. It highlights the need for adaptable policy frameworks that take into account the different needs of farmers and technological advances.

Suggested Citation

  • Parra-López, Carlos & Reina-Usuga, Liliana & Garcia-Garcia, Guillermo & Carmona-Torres, Carmen, 2025. "Promoting digital traceability in agriculture: A predictive approach to adoption and policy design in the olive sector," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    • Handle: RePEc:eee:tefoso:v:215:y:2025:i:c:s0040162525001088
    DOI: 10.1016/j.techfore.2025.124077
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