Vol. 14 No. 3 (2025)
Special Issue 13th AIEAA Conference

Assessing the social impacts of Digital Agriculture Technology Solutions: a practical tool

Andrea Bianchi
Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy
Chiara Corbo
Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy
Francesco Parigi
Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy
Sandra Cesari de Maria
Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy
Filippo Maria Renga
Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy
Angela Tumino
Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy

Published 2025-10-06

Keywords

  • social sustainability,
  • agriculture 4.0,
  • digital agriculture,
  • social framework

How to Cite

Bianchi, A., Corbo, C., Parigi, F., Cesari de Maria, S., Renga, F. M., & Tumino, A. (2025). Assessing the social impacts of Digital Agriculture Technology Solutions: a practical tool. Bio-Based and Applied Economics, 14(3), 77–95. https://doi.org/10.36253/bae-16929

Abstract

Digital Agriculture Technology Solutions (DATSs) can improve the sustainability of the agricultural sector. While most of the research on the impacts of DATSs is focused on the economic and environmental dimensions of sustainability, this work aims to understand the social benefits that DATSs have on farmers. Integrating top-down and bottom-up approaches, a Social Sustainability Assessment Framework for DATSs adoption was developed and subsequently applied in the form of a Social Self-Evaluation Tool, a questionnaire tested on 60 farmers across 20 European countries, with a heterogeneous composition in terms of sector, types of DATSs, agronomical context, and socio-economic background. The Framework and the Social Self-Evaluation Tool allowed for a deep investigation of the social impacts of DATSs in terms of labour evolution, education and learning, and generational change. The results demonstrated the positive effects of DATSs on the social sphere of sustainability, as well as the importance of integrating this type of social analysis in the evaluation of digital technologies in agriculture.

References

  1. Abdulai, A. R. (2022). A New Green Revolution (GR) or neoliberal entrenchment in agri-food systems? Exploring narratives around digital agriculture (da), food systems, and development in Sub-Sahara Africa. The Journal of Development Studies, 58(8), 1588-1604. DOI: https://doi.org/10.1080/00220388.2022.2032673
  2. Afere, L., Adedeji, O., Baker, V., Barbou des Courières, C., Mabonga, L., Ocansey, M., & Neate, P. J. (2019). Making agriculture attractive to young people. CTA.
  3. Ali, D., Bowen, D., Deininger, K., & Duponchel, M. (2016). Investigating the gender gap in agricultural productivity: Evidence from Uganda. World Development, 87, 152-170. DOI: https://doi.org/10.1016/j.worlddev.2016.06.006
  4. Balafoutis, A. T., Evert, F. K. V., & Fountas, S. (2020). Smart farming technology trends: economic and environmental effects, labor impact, and adoption readiness. Agronomy, 10(5), 743. DOI: https://doi.org/10.3390/agronomy10050743
  5. Bampasidou, M., Goldgaber, D., Gentimis, T., & Mandalika, A. (2024). Overcoming ‘Digital Divides’: Leveraging higher education to develop next generation digital agriculture professionals. Computers and Electronics in Agriculture, 224, 109181. DOI: https://doi.org/10.1016/j.compag.2024.109181
  6. Barron, P. J., Cord, L. J., Cuesta Leiva, J. A., Espinoza, S. A., Larson, G. M., & Woolcock, M. (2023). Social Sustainability and the Development Process: What Is It, Why Does It Matter, and How Can It Be Enhanced? (No. 10487). The World Bank.Benfica, R., Chambers, J., Koo, J., Nin-Pratt, A., Falck-Zepeda, J., Stads, G. J., & Arndt, C. (2023). Food system innovations and digital technologies to Foster productivity growth and rural transformation. Science and innovations for food systems transformation, 421. DOI: https://doi.org/10.1007/978-3-031-15703-5_22
  7. Bertoglio, R., Corbo, C., Renga, F. M., & Matteucci, M. (2021). The digital agricultural revolution: a bibliometric analysis literature review. Ieee Access, 9, 134762-134782. DOI: https://doi.org/10.1109/ACCESS.2021.3115258
  8. Borda, Á. J., Sárvári, B., & Balogh, J. M. (2023). Generation Change in Agriculture: A Systematic Review of the Literature. Economies, 11(5), 129. DOI: https://doi.org/10.3390/economies11050129
  9. Butler, D., Holloway, L. (2016). Technology and restructuring the social field of dairy farming: hybrid capitals, ‘Stockmanship’ and automatic milking systems. Sociol. Rural. 56, 513–530. Century. New Frontiers of Social Policy. Washington, DC: World Bank. DOI: https://doi.org/10.1111/soru.12103
  10. Castle, M., Lubben, B. D., & Luck, J. (2015). Precision agriculture usage and big agriculture data.
  11. Caxaj, C. S., Shkopi, E., Naranjo, C. T., Chew, A., Hao, Y. T., & Nguyen, M. (2023). Health, social and legal supports for migrant agricultural workers in France, Italy, Spain, Germany, Canada, Australia and New Zealand: a scoping review. Frontiers in public health, 11, 1182816. DOI: https://doi.org/10.3389/fpubh.2023.1182816
  12. Čehovin Zajc, J., & Kohont, A. (2017). Impacts of work intensity on employees’quality of work, life and health. Teorija in praksa, 54(2).
  13. Croasmun, J. T., & Ostrom, L. (2011). Using likert-type scales in the social sciences. Journal of adult education, 40(1), 19-22.
  14. Driessen, C., Heutinck, L.F.M. (2015). Cows desiring to be milked? Milking robots and the co-evolution of ethics and technology on Dutch dairy farms. Agric. Hum. Values 32, 3–20. DOI: https://doi.org/10.1007/s10460-014-9515-5
  15. Dutta, S., Lanvin, B., & Wunsch-Vincent, S. (2019). The global innovation index 2017. Cornell University, INSEAD, & WIPO (Eds.), Global innovation index, 1-39.
  16. Elsbach, K. D., & van Knippenberg, D. (2020). Creating high‐impact literature reviews: An argument for ‘integrative reviews’. Journal of Management Studies, 57(6), 1277-1289. DOI: https://doi.org/10.1111/joms.12581
  17. Esguerra, I. D. G. (2020). Work-Life Balance and Job Stress of Employees of a Lone Agricultural College in Bulacan, Philippines. Journal of Business on Hospitality and Tourism, 6(2), 61-73. DOI: https://doi.org/10.22334/jbhost.v6i2.229
  18. Eurofound (2016). Sixth European Working Conditions Survey – Overview Report. Luxembourg: Publications Office of the European Union.
  19. European Commission (2023a), Joint Research Centre, Barabanova, Y., Krzysztofowicz, M., Digital transition – Long-term implications for EU farmers and rural communities, Publications Office of the European Union, 2023
  20. European Commission (2023b). Food 2030 Research and Innovation – Pathways for action 2.0: Research and innovation policy as a driver for sustainable, healthy, climate-resilient and inclusive food systems
  21. European Commission (2023c). Summary of CAP Strategic Plans for 2023-2027: joint effort and collective ambition.
  22. European Commission (2025). Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. A Vision for Agriculture and Food. Shaping together an attractive farming and agri-food sector for future generations
  23. FAO, IFAD, UNICEF, WFP and WHO. 2024. The State of Food Security and Nutrition in the World 2024 – Financing to end hunger, food insecurity and malnutrition in all its forms. Rome.
  24. FAO, IFAD, UNICEF, WFP and WHO. 2025. The State of Food Security and Nutrition in the World 2025 – Addressing high food price inflation for food security and nutrition. Rome. https://doi.org/10.4060/cd6008en DOI: https://doi.org/10.4060/cd6008en
  25. FAO (2023). The status of women in agrifood systems. Rome.
  26. Farrell, M., Murtagh, A., Weir, L., Conway, S. F., McDonagh, J., & Mahon, M. (2021). Irish organics, innovation and farm collaboration: A pathway to farm viability and generational renewal. Sustainability, 14(1), 93. DOI: https://doi.org/10.3390/su14010093
  27. Fremstad, A., & Paul, M. (2020). Opening the farm gate to women? The gender gap in US agriculture. Journal of Economic Issues, 54(1), 124-141. DOI: https://doi.org/10.1080/00213624.2020.1720569
  28. Gaber, K., Rösch, C., & Bieling, C. (2024). Digital transformation of fruit farming in Germany: Digital tool development, stakeholder perceptions, adoption, and barriers. NJAS: Impact in Agricultural and Life Sciences, 96(1), 2349544. DOI: https://doi.org/10.1080/27685241.2024.2349544
  29. Gardezi, M., Adereti, D. T., Stock, R., & Ogunyiola, A. (2022). In pursuit of responsible innovation for precision agriculture technologies. Journal of Responsible Innovation, 9(2), 224-247. DOI: https://doi.org/10.1080/23299460.2022.2071668
  30. Geng W, Liu L, Zhao J, Kang X, Wang W. (2024) Digital Technologies Adoption and Economic Benefits in Agriculture: A Mixed-Methods Approach. Sustainability. 16(11):4431. DOI: https://doi.org/10.3390/su16114431
  31. Guruswamy, S., Pojić, M., Subramanian, J., Mastilović, J., Sarang, S., Subbanagounder, A., … & Jeoti, V. (2022). Toward better food security using concepts from industry 5.0. Sensors, 22(21), 8377. DOI: https://doi.org/10.3390/s22218377
  32. Hernandez, K., Flynn, J., He, J. and Alsahi, H. (2024). Towards digital inclusion in rural transformation. Rome, FAO
  33. Herrera Sabillon, B., Gerster‐Bentaya, M., & Knierim, A. (2022). Measuring farmers’ well‐being: Influence of farm‐level factors on satisfaction with work and quality of life. Journal of Agricultural Economics, 73(2), 452-471. DOI: https://doi.org/10.1111/1477-9552.12457
  34. Horodnic, I. A., & Williams, C. C. (2020). Evaluating the working conditions of the dependent self-employed. International Journal of Entrepreneurial Behavior & Research, 26(2), 326-348. DOI: https://doi.org/10.1108/IJEBR-07-2018-0445
  35. Huyer, S. (2016). Closing the gender gap in agriculture. Gender, Technology and Development, 20(2), 105-116. DOI: https://doi.org/10.1177/0971852416643872
  36. IPCC (2022): Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK and New York, NY, USA, pp. 37–118.
  37. Janker, J., & Mann, S. (2020). Understanding the social dimension of sustainability in agriculture: a critical review of sustainability assessment tools. Environment, Development and Sustainability, 22(3), 1671-1691. DOI: https://doi.org/10.1007/s10668-018-0282-0
  38. Janker, J., Mann, S., & Rist, S. (2019). Social sustainability in agriculture–A system-based framework. Journal of rural studies, 65, 32-42. DOI: https://doi.org/10.1016/j.jrurstud.2018.12.010
  39. Kabadzhova, M. (2022). Attractiveness of the agricultural sector to achieving generational renewal. Bulgarian Journal of Agricultural Science, 28(1), 3-9.
  40. Khanna, A., & Kaur, S. (2019). Evolution of internet of things (IoT) and its significant impact in the field of precision agriculture. Computers and Electronics in Agriculture, 157, 218–231. DOI: https://doi.org/10.1016/j.compag.2018.12.039
  41. Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS-Wageningen journal of life sciences, 90, 100315. DOI: https://doi.org/10.1016/j.njas.2019.100315
  42. Latruffe, L., Diazabakana, A., Bockstaller, C., Desjeux, Y., Finn, J., Kelly, E., … & Uthes, S. (2016). Measurement of sustainability in agriculture: a review of indicators. Studies in Agricultural Economics, 118(3), 123-130. DOI: https://doi.org/10.7896/j.1624
  43. Lundström, C., & Lindblom, J. (2018). Considering farmers’ situated knowledge of using agricultural decision support systems (AgriDSS) to Foster farming practices: The case of CropSAT. Agricultural Systems, 159, 9-20. DOI: https://doi.org/10.1016/j.agsy.2017.10.004
  44. Maher, C., Hadfield, M., Hutchings, M., & De Eyto, A. (2018). Ensuring rigor in qualitative data analysis: A design research approach to coding combining NVivo with traditional material methods. International journal of qualitative methods, 17(1), 1609406918786362. DOI: https://doi.org/10.1177/1609406918786362
  45. Maffezzoli, F., Ardolino, M., Bacchetti, A., Perona, M., & Renga, F. (2022). Agriculture 4.0: A systematic literature review on the paradigm, technologies and benefits. Futures, 142, 102998. DOI: https://doi.org/10.1016/j.futures.2022.102998
  46. Magee, L., Scerri, A., James, P., Thom, J. A., Padgham, L., Hickmott, S., … & Cahill, F. (2013). Reframing social sustainability reporting: Towards an engaged approach. Environment, development and sustainability, 15, 225-243. DOI: https://doi.org/10.1007/s10668-012-9384-2
  47. Mattimoe, R., Hayden, M., Murphy, B., & Ballantine, J. (2021). Approaches to analysis of qualitative research data: A reflection on the manual and technological approaches. Accounting, Finance & Governance Review, 27(1), 1-16.
  48. McGrath, K., Brown, C., Regan, Á., & Russell, T. (2023). Investigating narratives and trends in digital agriculture: A scoping study of social and behavioural science studies. Agricultural Systems, 207, 103616. DOI: https://doi.org/10.1016/j.agsy.2023.103616
  49. McGuinn, J., Fries-Tersch, M. C. E., Jones, M. C. M., & Crepaldi, M. C. C. (2020). Social sustainability–Concepts and benchmarks.
  50. Messenger, J. (2018). Working time and the future of work. ILO future of work research paper series, 6(8), 33-37.
  51. Michie, S. (2002). Causes and management of stress at work. Occupational and environmental medicine, 59(1), 67-72. DOI: https://doi.org/10.1136/oem.59.1.67
  52. Nowak, A., Krukowski, A., Różańska-Boczula, M. (2019) Assessment of Sustainability in Agriculture of the European Union Countries. Agronomy. 9(12):890. DOI: https://doi.org/10.3390/agronomy9120890
  53. Ochsner, M., Hug, S., & Galleron, I. (2017). The future of research assessment in the humanities: bottom-up assessment procedures. Palgrave communications, 3(1), 1-12. DOI: https://doi.org/10.1057/palcomms.2017.20
  54. Ofisi, M., & Lukamba, M. T. (2020). Closing the Gender Gap through ICT in Small Scale Farming: Towards Achieving Sustainable Development Goals. Gender & Behaviour, 18(4), 16687-16697.
  55. Organisation for Economic Co-operation and Development (OECD). (2018). Bridging the digital gender divide: Include, upskill, innovate. OECD.
  56. Packer, G., & Zanasi, C. (2023). Comparing social sustainability assessment indicators and tools for bio-districts: building an analytical framework. Frontiers in Sustainable Food Systems, 7, 1229505. DOI: https://doi.org/10.3389/fsufs.2023.1229505
  57. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., … & Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. bmj, 372. DOI: https://doi.org/10.1136/bmj.n71
  58. Papadopoulos, G., Arduini, S., Uyar, H., Psiroukis, V., Kasimati, A., & Fountas, S. (2024). Economic and Environmental Benefits of Digital Agricultural Technologies in Crop Production: A review. Smart Agricultural Technology, 100441. DOI: https://doi.org/10.1016/j.atech.2024.100441
  59. Paré, G., Trudel, M. C., Jaana, M., & Kitsiou, S. (2015). Synthesizing information systems knowledge: A typology of literature reviews. Information & management, 52(2), 183-199. DOI: https://doi.org/10.1016/j.im.2014.08.008
  60. Persechino, B., Valenti, A., Ronchetti, M., Rondinone, B. M., Di Tecco, C., Vitali, S., & Iavicoli, S. (2013). Work-related stress risk assessment in Italy: a methodological proposal adapted to regulatory guidelines. Safety and health at work, 4(2), 95-99. DOI: https://doi.org/10.1016/j.shaw.2013.05.002
  61. Peterman, A., Behrman, J. A., & Quisumbing, A. R. (2014). A review of empirical evidence on gender differences in nonland agricultural inputs, technology, and services in developing countries (pp. 145-186). Springer Netherlands. DOI: https://doi.org/10.1007/978-94-017-8616-4_7
  62. Pogorelskaia, I., & Várallyai, L. (2020). Agriculture 4.0 and the role of education. Journal of Agricultural Informatics/Agrárinformatika Folyóirat, 11(1). DOI: https://doi.org/10.17700/jai.2020.11.1.571
  63. Rodgers, Y., & Akram-Lodhi, H. (2019). The gender gap in agricultural productivity in sub-Saharan Africa: causes, costs and solutions.
  64. Rolandi, S., Brunori, G., Bacco, M., & Scotti, I. (2021). The digitalization of agriculture and rural areas: Towards a taxonomy of the impacts. Sustainability, 13(9), 5172. DOI: https://doi.org/10.3390/su13095172
  65. Rotz, S., Gravely, E., Mosby, I., Duncan, E., Finnis, E., Horgan, M., … & Fraser, E. (2019). Automated pastures and the digital divide: How agricultural technologies are shaping labour and rural communities. Journal of Rural Studies, 68, 112-122. DOI: https://doi.org/10.1016/j.jrurstud.2019.01.023
  66. Salvia, L. (2019) The restructuring of Italian agriculture and its impact upon capital–labour relations: Labour contracting and exploitation in the fresh fruit and vegetable supply chain of the Lazio Region, Central Italy. J. Agrar. Chang. 20, 98–112. DOI: https://doi.org/10.1111/joac.12340
  67. Schroeder, K., Lampietti, J., & Elabed, G. (2021). What’s cooking: digital transformation of the agrifood system. World bank publications. DOI: https://doi.org/10.1596/978-1-4648-1657-4
  68. Smith, M. J., & Carayon, P. (1995). New technology, automation, and work organization: stress problems and improved technology implementation strategies. International Journal of Human Factors in Manufacturing, 5(1), 99-116. DOI: https://doi.org/10.1002/hfm.4530050107
  69. Sri Heera, S., Athreya, S. P., N. S. S, S. S., & Rakesh, M. (2019). Automated irrigation and smart farming. International Journal of Engineering and Advanced Technology, 8 (6S3), 1450–1452. DOI: https://doi.org/10.35940/ijeat.F1258.0986S319
  70. Tanujaya, B., Prahmana, R. C. I., & Mumu, J. (2022). Likert scale in social sciences research: Problems and difficulties.
  71. Torraco, R. J. (2005). ‘Writing integrative literature reviews: Guidelines and examples’. Human DOI: https://doi.org/10.1177/1534484305278283
  72. Resource Development Review, 4, 356-67.
  73. Trendov, N. M., Varas, S. & Zeng, M. (2019). Digital technologies in agriculture and rural areas – Status report. Rome. Licence: cc by-nc-sa 3.0 igo.
  74. Trivino-Tarradas, P., Gomez-Ariza, M. R., Basch, G., & Gonzalez-Sanchez, E. J. (2019). Sustainability assessment of annual and permanent crops: The Inspia model. Sustainability, 11(3), 738. DOI: https://doi.org/10.3390/su11030738
  75. Tsouros, D. C., Bibi, S., & Sarigiannidis, P. G. (2019). A review on UAV-based applications for precision agriculture. Information, 10(11), 349. DOI: https://doi.org/10.3390/info10110349
  76. United Nations, Department of Economic and Social Affairs, Population Division (2022). World Population Prospects 2022: Ten Key Messages.
  77. UN General Assembly. Resolution adopted on 25 September 2015. Transforming our World: The 2030 Agenda for Sustainable Development. DOI: https://doi.org/10.4332/KJHPA.2015.25.3.149
  78. Wiradendi Wolor, C. (2020). The importance of work-life balance on employee performance millennial generation in Indonesia. Journal of critical reviews.
  79. Yin, R. K. (2017). Case study research and applications. Design and methods (Vol. 6). Thousand Oaks, CA: Sage.
  80. Zanin, A., Dal Magro, C.B., Kleinibing Bugalho, D., Morlin, F., Afonso, P., Sztando, A. (2020) Driving Sustainability in Dairy Farming from a TBL Perspective: Insights from a Case Study in the West Region of Santa Catarina, Brazil. Sustainability. 12(15):6038. DOI: https://doi.org/10.3390/su12156038