Graph database to enhance supply chain resilience for Industry 4.0
Young-Chae Hong, Jing Chen
| Year of publication: |
2022
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|---|---|
| Authors: | Hong, Young-Chae ; Chen, Jing |
| Published in: |
International journal of information systems and supply chain management : IJISSCM ; an official publication of the Information Resources Management Association. - Hershey, PA : IGI Global, ISSN 1935-5734, ZDB-ID 2400984-2. - Vol. 15.2022, 1, Art.-No. 4, p. 1-19
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| Subject: | Big Data | Graph Database | Industry 4.0 | Risk Management | Supply Chain Resilience | Risikomanagement | Risk management | Lieferkette | Supply chain | Datenbank | Database | Data Mining | Data mining | Graphentheorie | Graph theory |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.4018/IJISSCM.2022010104 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014296907