A mixed methods approach to analyze and predict supply disruptions by combining causal inference and deep learning
Frank Bodendorf, Maximilian Sauter, Jörg Franke
| Year of publication: |
2023
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|---|---|
| Authors: | Bodendorf, Frank ; Sauter, Maximilian ; Franke, Jörg |
| Published in: |
International journal of production economics. - Amsterdam [u.a.] : Elsevier, ISSN 0925-5273, ZDB-ID 1092526-0. - Vol. 256.2023, p. 1-27
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| Subject: | Causal inference | Deep learning | Design science | Risk management | Supply chain management | Supply disruption | Lieferkette | Supply chain | Risikomanagement | Kausalanalyse | Causality analysis | Künstliche Intelligenz | Artificial intelligence | Störungsmanagement | Disruption management | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijpe.2022.108708 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014302262