Blockchain applications in food supply chain management: case studies and implications
Zhang, Chen
Blockchain applications in food supply chain management: case studies and implications - Cham Springer 2023 - xiii, 304 p. - Contributions to Management Science (MANAGEMENT SC.) .
Table of contents:
Front Matter
Pages i-xiii
Download chapter PDF
Introduction
Chen Zhang, Yu Gong, Steve Brown
Pages 1-26
Literature Review
Chen Zhang, Yu Gong, Steve Brown
Pages 27-75
Research Methodology
Chen Zhang, Yu Gong, Steve Brown
Pages 77-98
Case Analysis: BeefLedger
Chen Zhang, Yu Gong, Steve Brown
Pages 99-139
Case Analysis: W Company
Chen Zhang, Yu Gong, Steve Brown
Pages 141-173
Case Analysis: FairChain
Chen Zhang, Yu Gong, Steve Brown
Pages 175-211
Cross-Case Analysis
Chen Zhang, Yu Gong, Steve Brown
Pages 213-261
Discussion
Chen Zhang, Yu Gong, Steve Brown
Pages 263-281
Implications and Conclusion
Chen Zhang, Yu Gong, Steve Brown
Pages 283-299
Back Matter
Pages 301-304
Download chapter PDF
[https://link.springer.com/book/10.1007/978-3-031-27054-3]
This book contributes to blockchain applications in food supply chain management from both theoretical and practical perspectives. By using the case study research method, it empirically investigates why and how food companies implement blockchain technology. Moreover, it proposes a conceptual framework based on the case findings and extant literature.
The book provides empirical evidence to verify academic findings such as critical success factors and barriers. Furthermore, it identifies the implementation process to answer the ‘how’ question. Uniquely, it applies the innovation process model and the practice-based view (PBV) to studies on food supply chains and blockchain. Thus, building on the original model and theory, it enriches the theory on blockchain implementation, making it a valuable asset for all researchers and practitioners interested in blockchain adoption and food supply chain management
(https://link.springer.com/book/10.1007/978-3-031-27054-3)
9783031270567
Business logistics
Blockchains--databases
Food supply management
338.19 / ZHA
Blockchain applications in food supply chain management: case studies and implications - Cham Springer 2023 - xiii, 304 p. - Contributions to Management Science (MANAGEMENT SC.) .
Table of contents:
Front Matter
Pages i-xiii
Download chapter PDF
Introduction
Chen Zhang, Yu Gong, Steve Brown
Pages 1-26
Literature Review
Chen Zhang, Yu Gong, Steve Brown
Pages 27-75
Research Methodology
Chen Zhang, Yu Gong, Steve Brown
Pages 77-98
Case Analysis: BeefLedger
Chen Zhang, Yu Gong, Steve Brown
Pages 99-139
Case Analysis: W Company
Chen Zhang, Yu Gong, Steve Brown
Pages 141-173
Case Analysis: FairChain
Chen Zhang, Yu Gong, Steve Brown
Pages 175-211
Cross-Case Analysis
Chen Zhang, Yu Gong, Steve Brown
Pages 213-261
Discussion
Chen Zhang, Yu Gong, Steve Brown
Pages 263-281
Implications and Conclusion
Chen Zhang, Yu Gong, Steve Brown
Pages 283-299
Back Matter
Pages 301-304
Download chapter PDF
[https://link.springer.com/book/10.1007/978-3-031-27054-3]
This book contributes to blockchain applications in food supply chain management from both theoretical and practical perspectives. By using the case study research method, it empirically investigates why and how food companies implement blockchain technology. Moreover, it proposes a conceptual framework based on the case findings and extant literature.
The book provides empirical evidence to verify academic findings such as critical success factors and barriers. Furthermore, it identifies the implementation process to answer the ‘how’ question. Uniquely, it applies the innovation process model and the practice-based view (PBV) to studies on food supply chains and blockchain. Thus, building on the original model and theory, it enriches the theory on blockchain implementation, making it a valuable asset for all researchers and practitioners interested in blockchain adoption and food supply chain management
(https://link.springer.com/book/10.1007/978-3-031-27054-3)
9783031270567
Business logistics
Blockchains--databases
Food supply management
338.19 / ZHA