Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector
<i>Background</i>: Blockchain adoption in agriculture is facing challenges. Some of its key challenges include lack of regulatory framework and unclear policies. <i>Methods</i>: This quantitative research based on a survey aims to examine the factors that influence blockchain...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Logistics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2305-6290/7/3/59 |
| _version_ | 1797579153960075264 |
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| author | Peter Sasitharan Gandhi Maniam Catherine Prentice Anne-Marie Sassenberg Jeffrey Soar |
| author_facet | Peter Sasitharan Gandhi Maniam Catherine Prentice Anne-Marie Sassenberg Jeffrey Soar |
| author_sort | Peter Sasitharan Gandhi Maniam |
| collection | DOAJ |
| description | <i>Background</i>: Blockchain adoption in agriculture is facing challenges. Some of its key challenges include lack of regulatory framework and unclear policies. <i>Methods</i>: 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. <i>Results</i>: 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. <i>Conclusions</i>: 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. |
| first_indexed | 2024-03-10T22:31:51Z |
| format | Article |
| id | doaj.art-410c419631094951b96017afb56055f5 |
| institution | Directory Open Access Journal |
| issn | 2305-6290 |
| language | English |
| last_indexed | 2024-03-10T22:31:51Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Logistics |
| spelling | doaj.art-410c419631094951b96017afb56055f52023-11-19T11:39:13ZengMDPI AGLogistics2305-62902023-09-01735910.3390/logistics7030059Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural SectorPeter Sasitharan Gandhi Maniam0Catherine Prentice1Anne-Marie Sassenberg2Jeffrey Soar3School of Business, University of Southern Queensland, Toowoomba, QLD 4350, AustraliaSchool of Business, University of Southern Queensland, Toowoomba, QLD 4350, AustraliaSchool of Business, University of Southern Queensland, Toowoomba, QLD 4350, AustraliaSchool of Business, University of Southern Queensland, Toowoomba, QLD 4350, Australia<i>Background</i>: Blockchain adoption in agriculture is facing challenges. Some of its key challenges include lack of regulatory framework and unclear policies. <i>Methods</i>: 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. <i>Results</i>: 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. <i>Conclusions</i>: 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.https://www.mdpi.com/2305-6290/7/3/59blockchain adoptionagriculturesupply chain management |
| spellingShingle | Peter Sasitharan Gandhi Maniam Catherine Prentice Anne-Marie Sassenberg Jeffrey Soar Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector Logistics blockchain adoption agriculture supply chain management |
| title | Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector |
| title_full | Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector |
| title_fullStr | Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector |
| title_full_unstemmed | Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector |
| title_short | Identifying an Optimal Model for Blockchain Technology Adoption in the Agricultural Sector |
| title_sort | identifying an optimal model for blockchain technology adoption in the agricultural sector |
| topic | blockchain adoption agriculture supply chain management |
| url | https://www.mdpi.com/2305-6290/7/3/59 |
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