| Title |
Blockchain sharding for e-commerce supply chain performance analytics towards Industry 5.0 |
| ID_Doc |
17318 |
| Authors |
Tsang, YP; Fan, YQ; Lee, CKM; Lau, HCW |
| Title |
Blockchain sharding for e-commerce supply chain performance analytics towards Industry 5.0 |
| Year |
2024 |
| Published |
Enterprise Information Systems, 18, 4 |
| DOI |
10.1080/17517575.2024.2311807 |
| Abstract |
In today's competitive and volatile e-commerce markets, effective supply chain performance measurement (SCPM) gradually becomes essential for investigating pitfalls and loopholes in strategic vendor management and business development. Surrounding the atmosphere of Industry 5.0, sustainability and resilience are two primary pillars, which should be further considered in the SCPM beyond merely operational effectiveness and efficiency. This study customises evaluation criteria based on the green supply chain operations reference model. Moreover, a blockchain sharding-enabled performance analytics system is designed, where a real-life case analysis is conducted to verify the system efficacy. Consequently, the supply chain sustainability and resilience can be fostered. |
| Author Keywords |
Supply chain; performance measurement; e-commerce; blockchain; fuzzy inference system |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001154159100001 |
| WoS Category |
Computer Science, Information Systems |
| Research Area |
Computer Science |
| PDF |
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