Proceedings of the 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024)

“AI+” Perspective on the Exploration of Innovative Pathways for the Cultivation of Digitally Intelligent Supply Chain Talents

Authors
Rongfu Zhan1, *, Jun Wu2, Chengzi Liu3
1Guangzhou College of Commerce, Guangzhou, 510641, China
2Guangdong Vocational College of Post and Telecom, Guangzhou, 510630, China
3Guangzhou College of Commerce, Guangzhou, 510641, China
*Corresponding author. Email: 20141014@gzcc.cn
Corresponding Author
Rongfu Zhan
Available Online 1 October 2024.
DOI
10.2991/978-94-6463-531-7_24How to use a DOI?
Keywords
“AI+” Perspective; Digital Intelligent Supply Chain; Talent Cultivation; Innovative Path; Interdisciplinary Integration
Abstract

Talents in digital intelligent supply chain are urgently needed for the current adjustment and upgrading of China’s economic and industrial structure. They are also a key focus for the innovation of talent cultivation in higher education in the new era, which has endowed the cultivation of supply chain innovative talents with new connotations and requirements. However, the existing talent cultivation models in various universities are still unable to meet the demand for innovative talents in the “AI+” field, and they are still focused on the transformation and upgrading of logistics management majors. There is a lack of systematic and systematic cultivation for new types of supply chain talents, especially problems such as lack of theoretical guidance, insufficient integration of industry, education and teaching, and imperfect construction of training mechanisms. Against this background, universities should take the “interdisciplinary integration” talent cultivation as the main line, actively explore new forms and mechanisms of talent cultivation for the “AI+” field digital intelligent supply chain, and build a new talent cultivation plan with the characteristics of “AI+ micro-major” and “AI+ micro-course”, and establish a new path for cultivating the comprehensive quality and interdisciplinary ability of innovative talents in the “AI+” field digital intelligent supply chain.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024)
Series
Advances in Engineering Research
Publication Date
1 October 2024
ISBN
978-94-6463-531-7
ISSN
2352-5401
DOI
10.2991/978-94-6463-531-7_24How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Rongfu Zhan
AU  - Jun Wu
AU  - Chengzi Liu
PY  - 2024
DA  - 2024/10/01
TI  - “AI+” Perspective on the Exploration of Innovative Pathways for the Cultivation of Digitally Intelligent Supply Chain Talents
BT  - Proceedings of the 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024)
PB  - Atlantis Press
SP  - 205
EP  - 216
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-531-7_24
DO  - 10.2991/978-94-6463-531-7_24
ID  - Zhan2024
ER  -