How to Drive New Energy Vehicle Firms’ ESG Performance through Organizational Resilience? The Role of AI & Innovation Network Embeddedness
Yihong Jin (),
Ruming Chen () and
Qin Liu ()
Additional contact information
Yihong Jin: Wuhan University of Technology, School of Entrepreneurship
Ruming Chen: University of Western Australia, Business School
Qin Liu: Wuhan University of Technology, School of Entrepreneurship
A chapter in Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026), 2026, pp 768-775 from Springer
Abstract:
Abstract Under the context of global uncertainty and energy transitions, enhancing ESG performance has become a strategic imperative for new energy vehicle (NEV) enterprises to gain long-term competitive advantage. However, how organizational resilience (OR) enhance ESG performance and what its boundary conditions are remain underexplored. Therefore, using Chinese listed NEV enterprises from 2016 to 2023 as examples, this study explores the impact of organizational resilience on ESG performance. The empirical results show that: (1) Organizational resilience exerts a significant positive impact on NEV firms’ ESG performance. (2) AI negatively moderates the relationship between organizational resilience and ESG performance while innovation network embeddedness positively moderates this relationship. (3) The positive effect of organizational resilience on ESG performance is more pronounced in non-state-owned NEV enterprises and under conditions of high environmental uncertainty. These findings guide NEV enterprises to enhance ESG performance through targeted resilience-building, rational AI deployment, and optimized innovation network embeddedness.
Keywords: Organizational Resilience; ESG Performance; Artificial Intelligence; Innovation Network Embeddedness; New Energy Vehicle Enterprises (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-642-5_78
Ordering information: This item can be ordered from
http://www.springer.com/9789462396425
DOI: 10.2991/978-94-6239-642-5_78
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().