Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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Exploring the Flexible Talent Introduction Mechanism for the Development of Airport Industry in G City from the Perspective of Talent Governance

Authors
Liangmei Luo1, Xiaohui Wang2, *, Fei Lei3, *
1School of Public Administration, Xinhua College of Sun Yat-Sen University, Tianhe, Guangzhou, China
2Department of Business Management, Lingnan (University) College, Sun Yat-Sen University, Guangzhou, China
3School of Finance and Economics, Guangdong University of Science and Technology, Nancheng, Dongguan, China
*Corresponding author. Email: wangxh@mail.sysu.edu.cn
*Corresponding author. Email: 2745776452@qq.com
Corresponding Authors
Xiaohui Wang, Fei Lei
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_109How to use a DOI?
Keywords
Collaborative Governance; Dynamic Governance; Risk Governance; System Innovation; Flexible Talent Introduction Model
Abstract

Promoting flexible talent introduction is an important part of innovative talent governance, and an effective mechanism to promote the flow of talents and release the vitality of talents. As an airport industry relying on resources such as convenient transportation, advanced logistics and strong radiation effects from large-scale hub airports, its core resources are still human resources. It is a strategic choice for the rapid development of the airport industry to quickly tap and introduce talents and give full play to the advantages of talents. At present, the theoretical and practical circles still lack in-depth discussions on the flexible talent introduction mechanism of the airport industry. This research focuses on the problems and causes analysis of the flexible introduction of talents in the airport industry in G City, and tries to start from the three governance concepts of collaborative governance, dynamic governance and risk governance, and proposes innovations in the talent policy system that promotes flexible introduction of talents, and innovations in talent introduction methods. Flexible introduction of countermeasures and suggestions for risk aversion. Hope to promote the in-depth study of the flexible talent introduction model.

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 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
10.2991/978-94-6463-030-5_109
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_109How 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

risenwbib
TY  - CONF
AU  - Liangmei Luo
AU  - Xiaohui Wang
AU  - Fei Lei
PY  - 2022
DA  - 2022/12/20
TI  - Exploring the Flexible Talent Introduction Mechanism for the Development of Airport Industry in G City from the Perspective of Talent Governance
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 1097
EP  - 1106
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_109
DO  - 10.2991/978-94-6463-030-5_109
ID  - Luo2022
ER  -