Proceedings of the 2023 8th International Conference on Modern Management and Education Technology (MMET 2023)

Intelligent Management of Unbalanced Supply and Demand of Information Technology Talents in Labor Market

Authors
Meng He1, *
1The Tourism College of Changchun University, Changchun, Jilin, China, 130607
*Corresponding author. Email: 121495224@qq.com
Corresponding Author
Meng He
Available Online 29 November 2023.
DOI
10.2991/978-2-38476-146-3_65How to use a DOI?
Keywords
Labor Market; Intelligent Management; Web Platform System; Information Technology Human Resources
Abstract

With the development of computer science, many traditional managements are replaced by computer - based intelligent managements. The traditional talent market management technology is relatively backward and exists a variety of information asymmetry problems, leading to the imbalance of talent supply and demand. The modern talent market is moving towards the development direction of legalization, precision and modernization, and it is gradually entering the trend of intelligent management. Perfecting the intelligent management of talent market is an important means to realize the intelligence of human resource flow, and it also is the requirement of contemporary social environment to the talent market. In the labor market, there are serious problems of imbalanced supply and demand for information technology talents. This need to carry out a good management for the imbalanced situation of information technology talent resources in the labor market by combining the current intelligent system. This paper studies the Web platform intelligent management system. The three modules, server, program terminal and desktop program make up the platform system. This platform is customer - oriented and is designed as a platform to provide information exchange for job seekers and enterprises. It can provide more convenient and fast information technology for the labor market information management personnel, which can solve the imbalanced supply and demand problem of the labor market well, and ease the long - term information asymmetry problem in the labor market. Through the actual management practice, the reliability, accuracy and efficiency of the system are verified, which provides a reliable intelligent management technology for the future supply and demand of talents in the labor market.

Copyright
© 2023 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 2023 8th International Conference on Modern Management and Education Technology (MMET 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 November 2023
ISBN
978-2-38476-146-3
ISSN
2352-5398
DOI
10.2991/978-2-38476-146-3_65How to use a DOI?
Copyright
© 2023 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  - Meng He
PY  - 2023
DA  - 2023/11/29
TI  - Intelligent Management of Unbalanced Supply and Demand of Information Technology Talents in Labor Market
BT  - Proceedings of the 2023 8th International Conference on Modern Management and Education Technology (MMET 2023)
PB  - Atlantis Press
SP  - 592
EP  - 602
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-146-3_65
DO  - 10.2991/978-2-38476-146-3_65
ID  - He2023
ER  -