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Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector

Author

Listed:
  • Peter Sasitharan Gandhi Maniam

    (School of Business, University of Southern Queensland, Toowoomba, QLD 4350, Australia)

  • Catherine Prentice

    (School of Business, University of Southern Queensland, Toowoomba, QLD 4350, Australia)

  • Anne-Marie Sassenberg

    (School of Business, University of Southern Queensland, Toowoomba, QLD 4350, Australia)

  • Jeffrey Soar

    (School of Business, University of Southern Queensland, Toowoomba, QLD 4350, Australia)

Abstract

Background : Blockchain adoption in agriculture is facing challenges. Some of its key challenges include lack of regulatory framework and unclear policies. Methods : This quantitative research based on a survey aims to examine the factors that influence blockchain implementation in the agricultural sector. Several theories including the technology acceptance model (TAM), the theory of planned behaviour (TPB), and the technology readiness index (TRI) were drawn upon to determine the factors influencing Blockchain adoption. The study was undertaken in Australia with 358 agricultural supply chain experts. Results : A range of novel findings were generated. While perceived usefulness, perceived ease of use, and attitude positively influenced Blockchain adoption, discomfort and insecurity were considered deterrents. Conclusions : The results can be used by relevant practitioners to improve the supply chain management for agriculture business. The findings can also inform a new direction for the research on the agricultural supply chain and the literature on logistics.

Suggested Citation

  • Peter Sasitharan Gandhi Maniam & Catherine Prentice & Anne-Marie Sassenberg & Jeffrey Soar, 2023. "Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector," Logistics, MDPI, vol. 7(3), pages 1-19, September.
    • Handle: RePEc:gam:jlogis:v:7:y:2023:i:3:p:59-:d:1232964
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    References listed on IDEAS

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