Proceedings of the 2026 3rd International Conference on Applied Economics, Management Science and Social Development (AEMSS 2026)

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Exploring Job Happiness Across Asian Countries: Factors, Challenges, and Strategies for Enhancing Employee Well-Being and Organizational Performance

Authors
Shifeng Chen1, *
1The University of Hong Kong, Hong Kong, China
*Corresponding author. Email: chenshifeng02@gmail.com
Corresponding Author
Shifeng Chen
Available Online 12 May 2026.
DOI
10.2991/978-94-6239-672-2_24How to use a DOI?
Keywords
Artificial intelligence; Machine learning; Natural language processing
Abstract

With the generalized usage of artificial intelligence (AI) in the workplace, the influence on the efficiency, Human–AI trust, and task suitability of knowledge workers has become increasingly profound. Through literature analysis and theoretical exploration, this study develops an integrated model of AI tools and knowledge worker performance, examining how AI enhances the performance of knowledge workers. The findings indicate that AI tools can enhance efficiency in tasks of low complexity and AI tools in high complexity tasks tend to function as assistive tools. The establishment of Human–AI trust depends on the interpretability, transparency and feedback mechanisms of AI systems, which promote greater willingness of using AI tools. Excessive reliance on AI may weaken the capacity of knowledge workers for independent thinking and innovation. By dynamically allocating decision authority and establishing Human–AI trust, organizations can promote collaborative development between humans and AI and improve the performance of the employees.

Copyright
© 2026 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 2026 3rd International Conference on Applied Economics, Management Science and Social Development (AEMSS 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
12 May 2026
ISBN
978-94-6239-672-2
ISSN
2352-5428
DOI
10.2991/978-94-6239-672-2_24How to use a DOI?
Copyright
© 2026 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  - Shifeng Chen
PY  - 2026
DA  - 2026/05/12
TI  - Exploring Job Happiness Across Asian Countries: Factors, Challenges, and Strategies for Enhancing Employee Well-Being and Organizational Performance
BT  - Proceedings of the 2026 3rd International Conference on Applied Economics, Management Science and Social Development (AEMSS 2026)
PB  - Atlantis Press
SP  - 254
EP  - 262
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-672-2_24
DO  - 10.2991/978-94-6239-672-2_24
ID  - Chen2026
ER  -