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Assessing the Potential of Digital Tools to Enhance Transparency and Traceability in The Cocoa Value Chain in Ivory Coast

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  • Koundre Aime Dieudonné Bah

    (African Leadership University)

Abstract

Problem The cocoa industry in Ivory Coast faces significant challenges related to market access, income and transparency despite being the leading global cocoa exporter. Research Aim Therefore, this mixed-methods study aimed to assess digital solutions to address these issues by improving traceability and empowering Ivorian cocoa producers. Research Method Surveys and interviews were conducted with 12 farmers in Lôh Djiboua, 5 buyers, and 3 experts. Results The key findings revealed that 72.7 per cent of farmers were willing to adopt a mobile app to enhance productivity and connect with buyers. However, barriers like limited digital literacy and poor rural infrastructure were identified. Implications and Recommendations The findings in this research would be highly relevant to cocoa cooperatives and associations, cocoa buyers and exporters in Ivory Coast, government agencies and policymakers, international development organizations, and academic researchers. In addition, the recommendations include expanding digital networks through partnerships, implementing training programs for farmers, and ensuring user-friendly app interfaces. Further research should evaluate improvements in the value chain after application implementation. Conclusions Overall, the study demonstrated that tailored mobile-based innovations can benefit cocoa value chain actors by increasing transparency.

Suggested Citation

  • Koundre Aime Dieudonné Bah, 2024. "Assessing the Potential of Digital Tools to Enhance Transparency and Traceability in The Cocoa Value Chain in Ivory Coast," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3), pages 2751-2780, March.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:3:p:2751-2780
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    References listed on IDEAS

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    1. Tsai, Juin-Ming & Cheng, Min-Jhih & Tsai, Her-Her & Hung, Shiu-Wan & Chen, Ya-Ling, 2019. "Acceptance and resistance of telehealth: The perspective of dual-factor concepts in technology adoption," International Journal of Information Management, Elsevier, vol. 49(C), pages 34-44.
    2. Bertotti, M.L. & Brunner, J. & Modanese, G., 2016. "The Bass diffusion model on networks with correlations and inhomogeneous advertising," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 55-63.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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