Research on Supply Chain Management and Talent Assurance of Emergency Logistics Personnel under Public Health Emergencies

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ISSN Print: 2164-5167
ISSN Online: 2164-5175
www.scirp.org/journal/ajibm
E-mail: ajibm@scirp.org

"Research on Supply Chain Management and Talent Assurance of Emergency Logistics Personnel under Public Health Emergencies"
written by Changli Lu, Min Chen,
published by American Journal of Industrial and Business Management, Vol.11 No.1, 2021

has been cited by the following article(s):

[1]	Meaning in motion: Evolving images of talent in organisations in a disruptive world
	SA Journal of Industrial Psychology, 2023

[2]	Optimization of Emergency Logistics Network based on Cloud Platform
	… International Conference on Applied Intelligence and …, 2023

[3]	Unmanned technology-based civil-military intelligent logistics system: from construction to integration
	Journal of Beijing Institute of …, 2022

[4]	Predicting the Investment Risk in Supply Chain Management Using BPNN and Machine Learning
	Wireless Communications and Mobile Computing, 2022

[5]	El abastecimiento y la gestión logística de la Red de Salud Pacifico Sur-Chimbote 2021
	2021

[1]	Drivers and collaborative governance of public health emergency response in the context of digital city Frontiers in Public Health, 2024 DOI:10.3389/fpubh.2024.1417490

[2]	Optimization of Emergency Logistics Network based on Cloud Platform 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC), 2023 DOI:10.1109/ICAISC58445.2023.10201236

[3]	Optimization of Emergency Logistics Network based on Cloud Platform 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC), 2023 DOI:10.1109/ICAISC58445.2023.10201236

[4]	Meaning in motion: Evolving images of talent in organisations in a disruptive world SA Journal of Industrial Psychology, 2023 DOI:10.4102/sajip.v49i0.2099

[5]	Predicting the Investment Risk in Supply Chain Management Using BPNN and Machine Learning Wireless Communications and Mobile Computing, 2022 DOI:10.1155/2022/4340286

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