Blockchain acceptance rate prediction in the resilient supply chain with hybrid system dynamics and machine learning approach
Pardis Roozkhosh, Alireza Pooya, Renu Agarwal
| Year of publication: |
2023
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|---|---|
| Authors: | Roozkhosh, Pardis ; Pooya, Alireza ; Agarwal, Renu |
| Published in: |
Operations management research : OMR ; advancing practice through theory. - New York, NY : Springer, ISSN 1936-9743, ZDB-ID 2424183-0. - Vol. 16.2023, 2, p. 705-725
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| Subject: | Blockchain | MLP | Prediction | SVR | System dynamics | Lieferkette | Supply chain | System Dynamics | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s12063-022-00336-x [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014330302