Datasets
Standard Dataset
dataset - Yanxuan Li
- Citation Author(s):
- Submitted by:
- Yanxuan Li
- Last updated:
- Sat, 12/21/2024 - 02:37
- DOI:
- 10.21227/3dtj-3119
- License:
- Categories:
- Keywords:
Abstract
This study focuses on building resilience in electric vehicle (EV) supply chain to address the growing challenges of global market uncertainties. Grounded in dynamic capabilities theory, the study identifies and categorizes 16 key factors influencing Supply Chain Resilience (SCR) through a review of 117 academic papers and data analysis from 8 supply chain experts and 374 EV sup-ply chain enterprises. These factors are grouped into four dynamic capability sets: sensing capa-bility, external resource integration capability, internal resource integration capability, and transforming capability. The Structural Equation Modeling (SEM) was used to validate the im-pact paths of these four dynamic capabilities on SCR, revealing that external resource integration capability has the most significant positive effect on SCR, followed by internal resource integra-tion and sensing capabilities, while the impact of transforming capability is relatively weaker. The findings suggest that EV companies should prioritize strengthening both external and inter-nal resource integration to enhance SCR. This research provides a theoretical foundations and practical guidance for EV companies to improve SCR in a complex global environment, offering new perspectives and empirical support for future studies in supply chain management.
1. data from expert review on file: Data-experts review
2. data of exploratory factor analysis on file: Data-161 samples
3.data of empirical analysis on file: Data-213 samples