The Impact of AI Application on Green Innovation Performance of Automobile Manufacturing Firms: The Moderating Role of Supply Chain Concentration

DOI

10.2991/978-94-6239-787-3_29How to use a DOI?

Keywords

artificial intelligence; automobile manufacturing; green innovation performance; supply chain concentration

Abstract

Artificial intelligence (AI) is reshaping production and daily life. This study explores how AI application affects green innovation performance of automobile manufacturers, with supply chain concentration as the moderator. It is found that AI application significantly promotes green innovation performance. Supply chain concentration negatively moderates the above relationship, and such moderating effect presents a nonlinear feature. Either overly dispersed or highly concentrated supply chain structures will inhibit firms’ green innovation.

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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TY  - CONF
AU  - Jiao Xiang
AU  - Yanling Sun
AU  - Caihong Wen
PY  - 2026
DA  - 2026/09/29
TI  - The Impact of AI Application on Green Innovation Performance of Automobile Manufacturing Firms: The Moderating Role of Supply Chain Concentration
BT  - Proceedings of the 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)
PB  - Atlantis Press
SP  - 281
EP  - 289
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-787-3_29
DO  - 10.2991/978-94-6239-787-3_29
ID  - Xiang2026
ER  -