Proceedings of the 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)

2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)

📍Shenzhen, China🗓️ 10-12 July 2026

A Study on the Threshold of Organizational Complexity for Artificial Intelligence-Enabling Green Transformation in heavily Polluted Manufacturing Industries Under the TOE Framework

Authors
Yuanhao Shi1, *
1Qinghai Minzu University, Xining, 810007, China
*Corresponding author. Email: 15382573011@163.com
Corresponding Author
Yuanhao Shi
Available Online 29 September 2026.
DOI
10.2991/978-94-6239-787-3_22How to use a DOI?
Keywords
Artificial Intelligence; Green Transformation; Heavy-Polluting Manufacturing Industries; Threshold Effect
Abstract

As the core driving force behind industrial transformation, artificial intelligence serves as a critical pillar for advancing the green and intelligent development of heavily polluting manufacturing sectors. Based on data from A-share heavily polluting manufacturing firms over the period 2009–2024, this paper examines the mechanism through which artificial intelligence affects the green transformation of heavily polluting manufacturing industries. The study finds that AI can promote green transformation by optimizing the labor force structure and attracting patient capital. Moreover, once organizational complexity reaches a certain threshold, this effect can be effectively unleashed. This study provides policy implications for promoting the differentiated advancement of intelligent and green development in the manufacturing industry.

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.

Download article (PDF)

Volume Title
Proceedings of the 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
29 September 2026
ISBN
978-94-6239-787-3
ISSN
2352-5428
DOI
10.2991/978-94-6239-787-3_22How 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

TY  - CONF
AU  - Yuanhao Shi
PY  - 2026
DA  - 2026/09/29
TI  - A Study on the Threshold of Organizational Complexity for Artificial Intelligence-Enabling Green Transformation in heavily Polluted Manufacturing Industries Under the TOE Framework
BT  - Proceedings of the 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)
PB  - Atlantis Press
SP  - 194
EP  - 206
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-787-3_22
DO  - 10.2991/978-94-6239-787-3_22
ID  - Shi2026
ER  -