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Adoption of digital tools in french beef cattle, pig, and vegetable farming: A mixed-methods analysis of motives, barriers, and structural determinants

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  • Ghali, Mohamed
  • Ben Arfa, Nejla
  • Justinia, Giffona
  • Di Bianco, Soazig
  • Saili, Abdul Rahman

Abstract

Digital tools are increasingly recognized for their essential roles in enhancing farm productivity, sustainability, and competitiveness. However, their adoption remains uneven across different farming systems due to multiple structural and strategic constraints.

Suggested Citation

  • Ghali, Mohamed & Ben Arfa, Nejla & Justinia, Giffona & Di Bianco, Soazig & Saili, Abdul Rahman, 2026. "Adoption of digital tools in french beef cattle, pig, and vegetable farming: A mixed-methods analysis of motives, barriers, and structural determinants," Agricultural Systems, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:agisys:v:231:y:2026:i:c:s0308521x25002872
    DOI: 10.1016/j.agsy.2025.104547
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    1. Eliana Lima & Thomas Hopkins & Emma Gurney & Orla Shortall & Fiona Lovatt & Peers Davies & George Williamson & Jasmeet Kaler, 2018. "Drivers for precision livestock technology adoption: A study of factors associated with adoption of electronic identification technology by commercial sheep farmers in England and Wales," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-17, January.
    2. Thompson, Nathanael M. & Bir, Courtney & Widmar, David A. & Mintert, James R., 2019. "Farmer Perceptions Of Precision Agriculture Technology Benefits," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 51(1), pages 142-163, February.
    3. Madhu Khanna & Shady S. Atallah & Saurajyoti Kar & Bijay Sharma & Linghui Wu & Chengzheng Yu & Girish Chowdhary & Chinmay Soman & Kaiyu Guan, 2022. "Digital transformation for a sustainable agriculture in the United States: Opportunities and challenges," Agricultural Economics, International Association of Agricultural Economists, vol. 53(6), pages 924-937, November.
    4. Schimmelpfennig, David, 2018. "Crop Production Costs, Profits, And Ecosystem Stewardship With Precision Agriculture," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 50(1), pages 81-103, February.
    5. Dejsi Qorri & Enikő Pergéné Szabó & János Felföldi & Krisztián Kovács, 2024. "The Role of Human Resource Management in Agricultural Labor-Saving Technologies: An Integrative Review and Science Mapping," Agriculture, MDPI, vol. 14(7), pages 1-17, July.
    6. Nettle, Ruth & Ingram, Julie, 2025. "Smart farming technologies and changes to farm work: New insights into on-farm experiences," Technological Forecasting and Social Change, Elsevier, vol. 218(C).
    7. Sunding, David & Zilberman, David, 2001. "The agricultural innovation process: Research and technology adoption in a changing agricultural sector," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 4, pages 207-261, Elsevier.
    8. Garini, C.S. & Vanwindekens, F. & Scholberg, J.M.S. & Wezel, A. & Groot, J.C.J., 2017. "Drivers of adoption of agroecological practices for winegrowers and influence from policies in the province of Trento, Italy," Land Use Policy, Elsevier, vol. 68(C), pages 200-211.
    9. Xinhui Peng & Xiaohuan Yan & Hongmei Wang, 2024. "Study on the Effect of Digital Technology Adoption and Farmers’ Cognition on Fertilizer Reduction and Efficiency Improvement Behavior," Agriculture, MDPI, vol. 14(7), pages 1-16, June.
    10. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
    11. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    12. Amir K. Abadi Ghadim & David J. Pannell & Michael P. Burton, 2005. "Risk, uncertainty, and learning in adoption of a crop innovation," Agricultural Economics, International Association of Agricultural Economists, vol. 33(1), pages 1-9, July.
    13. Paudel, Krishna P. & Pandit, Mahesh & Mishra, Ashok K. & Segarra, Eduardo, 2011. "Why Don't Farmers Adopt Precision Farming Technologies in Cotton Production?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 104828, Agricultural and Applied Economics Association.
    14. Jui-Hsiung Chuang & Jiun-Hao Wang & Yu-Chang Liou, 2020. "Farmers’ Knowledge, Attitude, and Adoption of Smart Agriculture Technology in Taiwan," IJERPH, MDPI, vol. 17(19), pages 1-8, October.
    15. Gyawali, Buddhi R. & Paudel, Krishna P. & Jean, Rosny & Banerjee, Swagata “Ban”, 2023. "Adoption of computer-based technology (CBT) in agriculture in Kentucky, USA: Opportunities and barriers," Technology in Society, Elsevier, vol. 72(C).
    16. Luwen Cui & Weiwei Wang, 2023. "Factors Affecting the Adoption of Digital Technology by Farmers in China: A Systematic Literature Review," Sustainability, MDPI, vol. 15(20), pages 1-14, October.
    17. Barnes, A.P. & Soto, I. & Eory, V. & Beck, B. & Balafoutis, A. & Sánchez, B. & Vangeyte, J. & Fountas, S. & van der Wal, T. & Gómez-Barbero, M., 2019. "Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers," Land Use Policy, Elsevier, vol. 80(C), pages 163-174.
    18. Robert Finger, 2023. "Digital innovations for sustainable and resilient agricultural systems," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(4), pages 1277-1309.
    19. Geels, Frank W. & Schot, Johan, 2007. "Typology of sociotechnical transition pathways," Research Policy, Elsevier, vol. 36(3), pages 399-417, April.
    20. J Blasch & B van der Kroon & P van Beukering & R Munster & S Fabiani & P Nino & S Vanino, 2022. "Farmer preferences for adopting precision farming technologies: a case study from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 33-81.
    21. Barituka Bekee & Michelle S. Segovia & Corinne Valdivia, 2024. "Adoption of smart farm networks: a translational process to inform digital agricultural technologies," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 41(4), pages 1573-1590, December.
    22. Athanasios Balafoutis & Bert Beck & Spyros Fountas & Jurgen Vangeyte & Tamme Van der Wal & Iria Soto & Manuel Gómez-Barbero & Andrew Barnes & Vera Eory, 2017. "Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics," Sustainability, MDPI, vol. 9(8), pages 1-28, July.
    23. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
    24. Theodoros Skevas & Ray Massey & Jasper Grashuis, 2022. "Farmer adoption and intensity of use of extreme weather adaptation and mitigation strategies: evidence from a sample of Missouri farmers," Climatic Change, Springer, vol. 174(1), pages 1-23, September.
    25. Fielke, Simon & Taylor, Bruce & Jakku, Emma, 2020. "Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review," Agricultural Systems, Elsevier, vol. 180(C).
    26. Ayamga, Matthew & Akaba, Selorm & Nyaaba, Albert Apotele, 2021. "Multifaceted applicability of drones: A review," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    27. Mohamed Ghali & Maha Ben Jaballah & Nejla Ben Arfa & Annie Sigwalt, 2022. "Analysis of factors that influence adoption of agroecological practices in viticulture," Review of Agricultural, Food and Environmental Studies, Springer, vol. 103(3), pages 179-209, September.
    28. Mottaleb, Khondoker A., 2018. "Perception and adoption of a new agricultural technology: Evidence from a developing country," Technology in Society, Elsevier, vol. 55(C), pages 126-135.
    29. Theodoros Skevas & Ray Massey & Jasper Grashuis, 2022. "Correction to: Farmer adoption and intensity of use of extreme weather adaptation and mitigation strategies: evidence from a sample of Missouri farmers," Climatic Change, Springer, vol. 174(3), pages 1-1, October.
    30. Ehlers, Melf-Hinrich & Huber, Robert & Finger, Robert, 2021. "Agricultural policy in the era of digitalisation," Food Policy, Elsevier, vol. 100(C).
    31. Eastwood, C.R. & Chapman, D.F. & Paine, M.S., 2012. "Networks of practice for co-construction of agricultural decision support systems: Case studies of precision dairy farms in Australia," Agricultural Systems, Elsevier, vol. 108(C), pages 10-18.
    32. Thia Hennessy & Doris Läpple & Brian Moran, 2016. "The Digital Divide in Farming: A Problem of Access or Engagement?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(3), pages 474-491.
    33. Schimmelpfennig, David, 2016. "Farm Profits and Adoption of Precision Agriculture," Economic Research Report 249773, United States Department of Agriculture, Economic Research Service.
    34. Pivoto, Diesson & Barham, Bradford & Dabdab, Paulo & Zhang, Debin & Talamin, Edson, 2019. "Factors influencing the adoption of smart farming by Brazilian grain farmers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 22(4), April.
    35. Ruzzante, Sacha & Labarta, Ricardo & Bilton, Amy, 2021. "Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature," World Development, Elsevier, vol. 146(C).
    36. Lelethu Mdoda & Mzuyanda Christian & Ikechi Agbugba, 2024. "Use of Information Systems (Mobile Phone App) for Enhancing Smallholder Farmers’ Productivity in Eastern Cape Province, South Africa: Implications on Food Security," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1993-2009, March.
    37. da Silveira, Franco & da Silva, Sabrina Letícia Couto & Machado, Filipe Molinar & Barbedo, Jayme Garcia Arnal & Amaral, Fernando Gonçalves, 2023. "Farmers' perception of the barriers that hinder the implementation of agriculture 4.0," Agricultural Systems, Elsevier, vol. 208(C).
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