A large-scale real-world comparative study using pre-COVID lockdown and post-COVID lockdown data on predicting shipment times of therapeutics in e-pharmacy supply chains
Mahesh Babu Mariappan and Kanniga Devi, Yegnanarayanan Venkataraman and Samuel Fosso Wamba
| Year of publication: |
2022
|
|---|---|
| Authors: | Mariappan, Mahesh Babu ; Devi, Kanniga ; Venkataraman, Yegnanarayanan ; Wamba, Samuel Fosso |
| Published in: |
International journal of physical distribution and logistics management. - Bingley : Emerald, ISSN 1758-664X, ZDB-ID 2032079-6. - Vol. 52.2022, 7, p. 512-537
|
| Subject: | Analytics | E-pharmacy supply chain | Machine Learning | Post-COVID lockdown | Pre-COVID lockdown | Real-world comparative study | Shipment time prediction | Coronavirus | Lieferkette | Supply chain | Lockdown | Lock-down | Wirkungsanalyse | Impact assessment | Künstliche Intelligenz | Artificial intelligence | Vergleich | Comparison | Welt | World |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1108/IJPDLM-05-2021-0192 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10013455906