Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025)

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How AI-Supported Leadership Foster Employees AI-Driven Innovative Work Behavior: Unpacking the Mediated Moderation Mechanism

Authors
Qodirov Jovid1, *, Zhang Li1, *, Waqas Khuram2, Piatkova Ekaterina1
1School of Management, Harbin Institute of Technology, Harbin, China
2Department of Management & HR, Institute of Business Management, Karachi, Pakistan
*Corresponding author.
*Corresponding author. Email: zhanglihit@hit.edu.cn
Corresponding Authors
Qodirov Jovid, Zhang Li
Available Online 25 August 2025.
DOI
10.2991/978-2-38476-456-3_2How to use a DOI?
Keywords
Artificial intelligence; supported leadership; Training Program; Innovative Work behavior; Organizational Innovative Climate
Abstract

This study proposes that artificial intelligence- supported leadership enhanced employees’ AI-driven innovative wok behavior through structures AI-training programs with organizational innovative climate serving as a reinforcing factor. While Ai-driven leadership is increasingly adopted, its interaction with training initiatives and organizational climate serving as a moderator remains underexplored. Grounded in the Conservation of Resource (COR) theory, this research examines how AI-supported leadership directly and indirectly via AI-training programs foster employees innovative work behavior, while organizational innovative climate positively moderates these relationships. Survey data from 321 top and middle level managers in Russian high-tech organizations were collected and analyzed through SPSS-26. The results confirm all the hypotheses positively: (1) AI-supported leadership directly increases employees AI-driven IWB, (2) AI-training programs mediate this relationship and (3) organizational innovative climate strengthens the effects of both AI-supported leadership and training programs on Ai-driven IWB. The results underscore the integrative and synergetic value of aligning technological leadership with human capital development with conducive organizational environment. From practical standpoint, the study highlights the imperative for organizational leaders to harmonize AI capabilities with continuous employee development and innovation-supported climates to sustainable drive innovation performance.

Copyright
© 2025 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 5th International Conference on New Computational Social Science (ICNCSS 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
25 August 2025
ISBN
978-2-38476-456-3
ISSN
2352-5398
DOI
10.2991/978-2-38476-456-3_2How to use a DOI?
Copyright
© 2025 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  - Qodirov Jovid
AU  - Zhang Li
AU  - Waqas Khuram
AU  - Piatkova Ekaterina
PY  - 2025
DA  - 2025/08/25
TI  - How AI-Supported Leadership Foster Employees AI-Driven Innovative Work Behavior: Unpacking the Mediated Moderation Mechanism
BT  - Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025)
PB  - Atlantis Press
SP  - 3
EP  - 13
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-456-3_2
DO  - 10.2991/978-2-38476-456-3_2
ID  - Jovid2025
ER  -