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

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Research on Identifying Technological Opportunities in Intelligent Logistics Systems

Authors
Hongyu Liu1, *, Ningman Xu1
1School of Management, Guangzhou College of Technology and Business, Foshan, 528138, China
*Corresponding author. Email: liouhongyu@gzgs.edu.cn
Corresponding Author
Hongyu Liu
Available Online 1 October 2024.
DOI
10.2991/978-94-6463-531-7_28How to use a DOI?
Keywords
Intelligent logistics systems; Co-word clustering; IPC classification
Abstract

With the rapid development of emerging technologies such as the Internet of Things (IoT), big data, and artificial intelligence (AI), intelligent logistics systems have become a crucial component of the logistics industry. This paper utilizes patent data related to intelligent logistics system technologies to perform keyword segmentation and employs co-word clustering to identify six major technical hot spots. Finally, it combines IPC classification groups to conduct technical hot spot identification and analysis. This research identifies six major categories of technical opportunities in the field of intelligent logistics systems, revealing significant advancements and patent applications that drive the industry forward and promise further growth and innovation.

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_28How 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

risenwbib
TY  - CONF
AU  - Hongyu Liu
AU  - Ningman Xu
PY  - 2024
DA  - 2024/10/01
TI  - Research on Identifying Technological Opportunities in Intelligent Logistics Systems
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  - 249
EP  - 258
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-531-7_28
DO  - 10.2991/978-94-6463-531-7_28
ID  - Liu2024
ER  -