Blockchain's Transparency and the Performance of the Small-Scale Agricultural Farms in Kenya


Authors : Anne Mwende Kaluvu; Dr. Lawrence Nderu; Dr. Oluoch Oluoch

Volume/Issue : Volume 10 - 2025, Issue 7 - July


Google Scholar : https://tinyurl.com/46wje74k

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DOI : https://doi.org/10.38124/ijisrt/25jul1312

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Abstract : Agriculture remains a fundamental pillar of Kenya’s economy, supporting livelihoods and contributing significantly to GDP. However, small-scale agricultural farms face persistent inefficiencies, including poor traceability, inadequate record-keeping, and limited accountability, which constrain productivity and market integration. This study investigates the extent to which blockchain technology’s transparency can address these challenges and enhance farm performance. Blockchain’s decentralized and tamper-proof ledger system offers the potential to improve transparency, build trust, and streamline agricultural processes. This research specifically explores how blockchain-driven transparency influences trust, decision-making, coordination, and operational efficiency in Kenya’s small-scale farming context. The study employed a pragmatic philosophy and a mixed-methods approach, integrating both qualitative and quantitative methodologies. Focus group discussions with selected village champions provided contextual insights into farmers’ experiences with blockchain applications, while structured questionnaires collected quantitative data from all 52 blockchain- enabled agricultural firms in the study population, enabling a full census. Data analysis included both descriptive and inferential techniques. Thematic analysis was applied to qualitative responses to identify recurring patterns, while Pearson’s and Spearman’s Rank correlation tests assessed key relationships. Multiple regression models were used to determine the predictive strength and statistical significance of blockchain-related variables on farm performance. Findings indicate that blockchain transparency significantly enhances traceability, improves operational decision-making, and fosters stronger stakeholder trust. These outcomes collectively contribute to improved market access, reduced post-harvest losses, and greater efficiency. Despite challenges such as low awareness levels and technical skill gaps, the evidence supports blockchain transparency as a valuable enabler of performance improvement in Kenya’s small-scale agricultural sector. This study contributes to the growing body of literature on agricultural digitalization, offering empirical evidence on the practical value of blockchain technology in emerging economies.

Keywords : Blockchain Technology, Performance, Small-Scale Agricultural Farms, Transparency, Kenya, Value Chains.

References :

  1. Adewusi, A.O., Chiekezie, N.R. & Eyo-Udo, N.L., 2023. Blockchain technology in agriculture: Enhancing supply chain transparency and traceability. Finance & Accounting Research Journal, 5(12), pp.479–501. https://doi.org/10.51594/farj.v5i12.1514
  2. Agnew, J., Byrnes, H. & Mwai, O., 2022. Can digital services for agriculture contribute to resilient TFP growth in sub-Saharan Africa? Virginia Tech CALS Global GAP Initiative. Available at: https://globalagriculturalproductivity.org/impact-of-blockchain-on-food-insecurity/ .
  3. Ajzen, I., 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), pp.179–211. https://doi.org/10.1016/0749-5978(91)90020-T
  4. Akella, G.K., Wibowo, S., Grandhi, S. & Mubarak, S., 2023. A systematic review of blockchain technology adoption barriers and enablers for smart and sustainable agriculture. Big Data Cognition and Computation, 7(2), p.86. https://doi.org/10.3390/bdcc7020086
  5. Alsdorf, G. & Berkun, J., 2024. Is blockchain the next big thing for insurance companies? Carlton Fields. Available at: https://www.carltonfields.com/insights/publications/2024/is-blockchain-the-next-big-thing-for-insurance-companies .
  6. Anderson, C., 2011. The value of sampling in research. Journal of Research Methodology, 15(2), pp.45–58.
  7. Antonucci, F., Figorilli, S., Costa, C., Pallottino, F., Raso, L. & Menesatti, P., 2019. A review on blockchain applications in the agri‐food sector. Journal of the Science of Food and Agriculture, 99(14), pp.6129–6138. https://pubmed.ncbi.nlm.nih.gov/31273793/
  8. Babich, V. & Hilary, G., 2018. Blockchain and other distributed ledger technologies in operations. Foundations and Trends® in Technology, Information and Operations Management, 12(2), pp.73–150. https://doi.org/10.1561/0200000084
  9. Bore, N., Kinai, A., Waweru, P., Wambugu, I., Mutahi, J., Kemunto, E., Bryant, R. & Weldemariam, K., 2020. ADW: Blockchain-enabled small-scale farm digitization. arXiv preprint. Available at: https://arxiv.org/abs/2003.06862 .
  10. Cai, Y.J., Choi, T.M. & Zhang, J., 2020. Platform supported supply chain operations in the blockchain era: Supply contracting and moral hazards. Decision Sciences, 52(4), pp.877–908. https://doi.org/10.1111/deci.12475
  11. Casino, F., Dasaklis, T.K. & Patsakis, C., 2019. A systematic literature review of blockchain-based applications: Current status, classification, and open issues. Telematics and Informatics, 36, pp.55–81. https://doi.org/10.1016/j.tele.2018.11.006
  12. Chinaka, M., 2016. Blockchain technology—Applications in improving financial inclusion in developing economies: Case study for small-scale agriculture in Africa (Master’s thesis). Massachusetts Institute of Technology. Available at: https://dspace.mit.edu/handle/1721.1/104542
  13. Chod, J., Trichakis, N., Tsoukalas, G., Aspegren, H. & Weber, M., 2019. On the financing benefits of supply chain transparency and blockchain adoption. Management Science. Advance online publication. https://doi.org/10.2139/ssrn.3078945
  14. Creswell, J.W. & Plano Clark, V.L., 2007. Designing and conducting mixed methods research. Thousand Oaks, CA: Sage Publications. https://doi.org/10.4135/9781506335195
  15. Creswell, J.W., 2009. Research design: Qualitative, quantitative, and mixed methods approaches. 3rd ed. Thousand Oaks, CA: Sage Publications. https://doi.org/10.4135/9781506335193
  16. Cuellar, D. & Johnson, Z., 2022. Barriers to implementation of blockchain technology in agricultural supply chain. arXiv preprint. Available at: https://arxiv.org/abs/2212.03302 .
  17. Davies, S., 2018. PwC's global blockchain survey. SourceMedia. Archived from the original on 25 January 2021. Available at: https://www.financialwebsite.com [Accessed 1 February 2021].
  18. Davis, F.D., Bagozzi, R.P. & Warshaw, P.R., 1989. User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), pp.982–1003. https://doi.org/10.1287/mnsc.35.8.982
  19. Dewey, J., 1938. Logic: The theory of inquiry. New York: Henry Holt and Company.
  20. Falade, T. (2023). Agrifood traceability and transparency using blockchain technology. https://doi.org/10.13140/RG.2.2.27290.82880
  21. Francisco, K. and Swanson, D., 2018. The supply chain has no clothes: Technology adoption of blockchain for supply chain transparency. Logistics, 2(1), p.2. https://doi.org/10.3390/logistics2010002
  22. Frontiers, 2020. Blockchain technology for agriculture: Applications and rationale. Frontiers in Blockchain, 3, Article 7. Available at: https://www.frontiersin.org/articles/10.3389/fbloc.2020.00007/full .
  23. Garg, A., Tyagi, A., Patel, A. and Raj, D., 2023. Blockchain and decentralized apps. arXiv preprint. Available at: https://arxiv.org/abs/2303.12536 .
  24. Haider, I., 2018. How blockchain can help smallholder farmers. E-Agriculture, 30 November. Available at: https://www.fao.org/e-agriculture/blog/how-blockchain-can-help-smallholder-farmers .
  25. Hall, G.E. and Hord, S.M., 1987. Change in schools: Facilitating the process. Albany: State University of New York Press.
  26. Hang, C., Zhang, Y. and Zhang, Y., 2020. Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 58(7), pp.2082–2095. https://doi.org/10.1080/00207543.2019.1641413
  27. IBM, 2023. Benefits of blockchain. IBM. Available at: https://www.ibm.com/topics/benefits-of-blockchain .
  28. Ibrahim, M., Nangpiire, C., Detoh, W.M. and Fataw, Y., 2024. The effect of blockchain technology in enhancing ethical sourcing and supply chain transparency: Evidence from the cocoa and agricultural sectors in Ghana. African Journal of Empirical Research, 5(2), pp.55–64. https://doi.org/10.51867/ajernet.5.2.6
  29. InsightAce Analytic, 2024. Blockchain in the agriculture and food supply chain market size, share & trends analysis report by type (public, private, hybrid/consortium), by stakeholder, by application, by provider, by organization site, by region, and by segment forecasts, 2024–2031 (Report ID: 1436). InsightAce Analytic. Available at: https://www.insightaceanalytic.com/report/global-blockchain-in-the-agriculture-and-food-supply-chain-market/1436 .
  30. International Fund for Agricultural Development (IFAD), 2019. Exploring the advantages of blockchain technology for smallholder farming. Available at: https://www.ifad.org/en/w/publications/exploring-the-advantages-of-blockchain-technology-for-smallholder-farming .
  31. Kamble, S.S., Gunasekaran, A., Subramanian, N. and Ghadge, A., 2023. Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: Evidence from the automotive industry. Annals of Operations Research, 327(1), pp.575–600. https://doi.org/10.1007/s10479-021-04129-6
  32. Kamilaris, A., Cole, I. and Prenafeta-Boldú, F.X., 2021. Blockchain in agriculture. arXiv preprint. Available at: https://arxiv.org/abs/2102.09401 .
  33. Kamilaris, A., Fonts, A. and Prenafeta-Boldú, F.X., 2019. The rise of blockchain technology in agriculture and food supply chains. Trends in Food Science & Technology, 91, pp.640–652. https://doi.org/10.1016/j.tifs.2019.07.034
  34. Kemp, L., 2017. How the blockchain is helping stop the spread of conflict diamonds. WIRED, 15 February. Available at: https://www.wired.com/story/blockchain-conflict-diamonds-everledger/ .
  35. Kothari, C.R., 2009. Research methodology: Methods and techniques. 2nd ed. New Delhi: New Age International Publishers.
  36. Kothari, C.R. and Garg, G., 2014. Research methodology: Methods and techniques. 3rd ed. New Delhi: New Age International Publishers.
  37. Kufuor, H.E.J., 2021. Africa’s smallholder farmers are the linchpin to economic success. AGRA. Available at: https://agra.org/news/africas-smallholder-farmers-are-the-linchpin-to-economic-success/ .
  38. Kumar, R. (2014). Research Methodology: A Step-by-Step Guide for Beginners (4th ed.). SAGE Publications Ltd. pp. 123–130.
  39. Kumarathunga, M., Calheiros, R.N. and Ginige, A., 2022. Sustainable microfinance outreach for farmers with blockchain cryptocurrency and smart contracts. International Journal of Computer Theory and Engineering, 14(1), pp.9–14. https://doi.org/10.7763/IJCTE.2022.V14.1304
  40. Lakhani, K.R. and Iansiti, M., 2017. The truth about blockchain. Harvard Business Review. Harvard University. Available at: https://hbr.org/2017/01/the-truth-about-blockchain .
  41. Lin, W., Huang, X., Fang, H., Wang, V., Hua, Y., Wang, J., Yin, H., Yi, D. & Yau, L., 2020. Blockchain technology in current agricultural systems: From techniques to applications. IEEE Access, 8, pp.17707–17719. https://doi.org/10.1109/ACCESS.2020.2969073
  42. Mapanje, O., Karuaihe, S., Machethe, C. & Amis, M., 2023. Financing sustainable agriculture in sub-Saharan Africa: A review of the role of financial technologies. Sustainability, 15(5), p.4587. https://doi.org/10.3390/su15054587
  43. Maras, E., 2019. How blockchain technology improves food supply chain transparency and efficiency. Food Truck Operator, 22 July. Available at: https://www.foodtruckoperator.com/articles/ibm-shares-how-blockchain-technology-improves-food-supply-chain-transparency-and-efficiency-2/
  44. Mattern, M., 2018. Exploring blockchain applications to agricultural finance. CGAP. Available at: https://www.cgap.org/research/publication/exploring-blockchain-applications-to-agricultural-finance
  45. Mugenda, O.M. & Mugenda, A.G., 2003. Research methods: Quantitative and qualitative approaches. Nairobi: African Centre for Technology Studies (ACTS).
  46. Mwewa, T., Lungu, G., Turyasingura, B., Umer, Y., Uwimbabazi, A., Kayusi, F. & Chavula, P., 2025. Blockchain technology: Improving agricultural supply chain efficiency and transparency – A review. Asian Basic and Applied Research Journal, 7(1), pp.81–93. https://doi.org/10.56557/abaarj/2025/v7i1159
  47. Nakamoto, S., 2008. Bitcoin: A peer-to-peer electronic cash system. Available at: https://bitcoin.org/bitcoin.pdf
  48. Nangpiire, C. (2024). The effect of blockchain technology in enhancing ethical sourcing and supply chain transparency: Evidence from the cocoa and agricultural sectors in Ghana. African Journal of Empirical Research, 5(2), 78–87. https://doi.org/10.51867/AJERNET.5.2.6
  49. Neuman, W.L., 2009. Social research methods: Qualitative and quantitative approaches. 7th ed. Boston: Pearson.
  50. Patel, N., Shukla, A., Tanwar, S. & Singh, D., 2021. KRanTi: Blockchain-based farmer's credit scheme for agriculture-food supply chain. Transactions on Emerging Telecommunications Technologies, 35(4), p.e4286. https://doi.org/10.1002/ett.4286
  51. Raj, P., Saini, K. & Surianarayanan, C. eds., 2020. Blockchain technology and applications. 1st ed. Boca Raton: Auerbach Publications. https://doi.org/10.1201/9781003081487
  52. Rijanto, A., 2020. Business financing and blockchain technology adoption in agroindustry. Journal of Science and Technology Policy Management, 11(3), pp.3078–3098. https://doi.org/10.1108/JSTPM-03-2020-0065
  53. Rogers, E.M., 2003. Diffusion of innovations. 5th ed. New York: Free Press.
  54. Sharma, M. & Joshi, S., 2021. Barriers to blockchain adoption in healthcare industry: An Indian perspective. Journal of Global Operations and Strategic Sourcing, 14(1), pp.134–169. https://doi.org/10.1108/JGOSS-06-2020-0026
  55. Shew, A.M., Snell, H.A., Nayga, R.M. Jr. & Lacity, M.C., 2021. Consumer valuation of blockchain traceability for beef in the United States. Agricultural Economics, 52(3), pp.355–367. https://doi.org/10.1002/aepp.13157
  56. SIS International Research (2023). Focus groups offer rich, detailed data and diverse perspectives through interactive discussions. SIS International Market Research. https://www.sisinternational.com/solutions/focus-groups/join-focus-groups
  57. Su, E., 2018. Top 5 most compelling use cases for blockchain technology. Medium. Available at: https://medium.com/bitfwd/top-5-most-compelling-use-cases-for-blockchain-technology-d198e500e3d3
  58. Sylvester, G., 2019. E-agriculture in action: Blockchain for agriculture, opportunities and challenges. Food and Agriculture Organization (FAO). Available at: https://www.fao.org/3/ca2906en/ca2906en.pdf
  59. Ukidve, S., Yadav, R., Manshahia, M. S., & Chaudhary, M. P. (2023). Blockchain‑Powered Agricultural Traceability Systems: Ensuring Food Transparency and Sustainability in Agroecosystems 5.0. Journal of Advanced Zoology, 44(S8), 1–5. https://doi.org/10.53555/jaz.v44iS8.4193
  60. Venkatesh, V., Morris, M.G., Davis, G.B. & Davis, F.D., 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, pp.425–478.
  61. Vignesh, B., Chandrakumar, M., Krishnan, D., Prahadeeswaran, M. & Vanitha, G., 2024. Blockchain technology in agriculture: Ensuring transparency and traceability in the food supply chain. Preprints.org. https://doi.org/10.20944/preprints202409.1443.v1
  62. Wahome, A.M., Kiema, J.B.K., Mulaku, G.C. & Mukoko, I., 2024. Characterization of small-scale farmers and assessment of their access to crop production information in selected counties of Kenya. Agricultural Sciences, 15(5). https://doi.org/10.4236/as.2024.155032
  63. World Food Programme, 2017. Building blocks: Blockchain for efficient humanitarian aid distribution. WFP Innovation. Available at: https://innovation.wfp.org/project/building-blocks
  64. Xia, J., Li, H. & He, Z., 2023. The effect of blockchain technology on supply chain collaboration: A case study of Lenovo. Systems, 11(6), p.299. https://doi.org/10.3390/systems11060299
  65. Xiong, H., Dalhaus, T., Wang, P. & Huang, J., 2020. Blockchain technology for agriculture: Applications and rationale. Frontiers in Blockchain, 3, Article 7. https://doi.org/10.3389/fbloc.2020.00007
  66. Yadav, V., Singh, A.R., Raut, R. & Govindarajan, U.H., 2020. Blockchain technology adoption barriers in the Indian agricultural supply chain: An integrated approach. Resources, Conservation and Recycling, 161, p.104877. https://doi.org/10.1016/j.resconrec.2020.104877
  67. Yadlapalli, A., Rahman, S. & Gopal, P., 2022. Blockchain technology implementation challenges in supply chains – Evidence from the case studies of multi-stakeholders. The International Journal of Logistics Management, 33(5), pp.278–305. https://doi.org/10.1108/IJLM-02-2021-0086
  68. Zhao, G., Zhang, Y. & Zhang, Y., 2019. Blockchain technology in supply chain operations. Journal of Industrial Engineering and Management, 12(2), pp.1–17. https://doi.org/10.3926/jiem.2950
  69. Zikmund, W.G., 2003. Business research methods. 7th ed. Mason, OH: Thomson/South-Western.

Agriculture remains a fundamental pillar of Kenya’s economy, supporting livelihoods and contributing significantly to GDP. However, small-scale agricultural farms face persistent inefficiencies, including poor traceability, inadequate record-keeping, and limited accountability, which constrain productivity and market integration. This study investigates the extent to which blockchain technology’s transparency can address these challenges and enhance farm performance. Blockchain’s decentralized and tamper-proof ledger system offers the potential to improve transparency, build trust, and streamline agricultural processes. This research specifically explores how blockchain-driven transparency influences trust, decision-making, coordination, and operational efficiency in Kenya’s small-scale farming context. The study employed a pragmatic philosophy and a mixed-methods approach, integrating both qualitative and quantitative methodologies. Focus group discussions with selected village champions provided contextual insights into farmers’ experiences with blockchain applications, while structured questionnaires collected quantitative data from all 52 blockchain- enabled agricultural firms in the study population, enabling a full census. Data analysis included both descriptive and inferential techniques. Thematic analysis was applied to qualitative responses to identify recurring patterns, while Pearson’s and Spearman’s Rank correlation tests assessed key relationships. Multiple regression models were used to determine the predictive strength and statistical significance of blockchain-related variables on farm performance. Findings indicate that blockchain transparency significantly enhances traceability, improves operational decision-making, and fosters stronger stakeholder trust. These outcomes collectively contribute to improved market access, reduced post-harvest losses, and greater efficiency. Despite challenges such as low awareness levels and technical skill gaps, the evidence supports blockchain transparency as a valuable enabler of performance improvement in Kenya’s small-scale agricultural sector. This study contributes to the growing body of literature on agricultural digitalization, offering empirical evidence on the practical value of blockchain technology in emerging economies.

Keywords : Blockchain Technology, Performance, Small-Scale Agricultural Farms, Transparency, Kenya, Value Chains.

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