Authors :
Anne Mwende Kaluvu; Dr. Lawrence Nderu; Dr. Oluoch Oluoch
Volume/Issue :
Volume 10 - 2025, Issue 7 - July
Google Scholar :
https://tinyurl.com/46wje74k
Scribd :
https://tinyurl.com/2c383ccf
DOI :
https://doi.org/10.38124/ijisrt/25jul1312
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
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 :
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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.