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

Peter Sasitharan Gandhi Maniam (), Catherine Prentice, Anne-Marie Sassenberg and Jeffrey Soar
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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

Logistics, 2023, vol. 7, issue 3, 1-19

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.

Keywords: blockchain adoption; agriculture; supply chain management (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2023
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