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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

Research article (International Journal of Physical Distribution & Logistics Management, 2022) · cited 14× · AI/ML
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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

Summary

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 is a scholarly article[1].

Key Facts

  • 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's instance of is recorded as scholarly article[2].

Related Entities

Samuel Fosso Wamba

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-large-scale-real-world-comparative-study-using-pre-covid-lockdown-and-post-covid-lockdown-data-on-predicting-shipment-
MLA “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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-large-scale-real-world-comparative-study-using-pre-covid-lockdown-and-post-covid-lockdown-data-on-predicting-shipment-.
BibTeX @misc{4ortxyz_a-large-scale-real-world-comparative-study-using-pre-covid-lockdown-and-post-covid-lockdown-data-on-predicting-shipment-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/a-large-scale-real-world-comparative-study-using-pre-covid-lockdown-and-post-covid-lockdown-data-on-predicting-shipment-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/a-large-scale-real-world-comparative-study-using-pre-covid-lockdown-and-post-covid-lockdown-data-on-predicting-shipment- (retrieved 2026-05-24)

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