Author
Listed:
- Qiaoling Zou
(School of Design, Jiangnan University, Wuxi 214122, China)
- Xinyan Jiang
(School of Theatre and Film, Shanxi Normal University, Taiyuan 030032, China)
- Xiangling Hu
(Management Department, Seidman College of Business, Grand Valley State University, Grand Rapids, MI 49504, USA)
- Wanyu Zheng
(School of Digital Technology & Innovation Design, Jiangnan University, Wuxi 214401, China)
- Dongning Li
(School of Digital Technology & Innovation Design, Jiangnan University, Wuxi 214401, China)
Abstract
(1) Background: Traditional logistics training faces challenges like high costs, limited scalability, and safety risks. Virtual Reality Movie Training (VRMT) enhances operational accuracy, safety, and accessibility through immersive simulation. However, adoption faces barriers including high equipment costs, immature technology, and coordination challenges among logistics enterprises, design companies, and government entities. This study explores strategic interactions to optimize VRMT adoption. (2) Methods: A tripartite evolutionary game model was used to analyze strategic interactions between logistics enterprises, design companies, and government. (3) Results: System stability occurs when logistics enterprises adopt VRMT, design companies deliver high-quality solutions, and government provides active support. Simulations reveal stronger adoption coefficients through increased employee acceptance and enhanced training quality. Government incentives and brand premiums significantly influence quality design provision, though excessive subsidies may reduce governmental willingness to support initiatives. (4) Conclusions: Cost minimization and accessibility improvement require batch hardware purchasing, optimized training cycles, and shared platforms at logistics enterprises. Design companies should optimize content development for cost-effectiveness while maintaining quality standards to leverage brand benefits. Governments should establish VRMT quality certification, invest in public VR platforms for SMEs, and convert accident savings into fiscal supplements. This tripartite collaboration enables efficient, safe, and sustainable logistics training transformation.
Suggested Citation
Qiaoling Zou & Xinyan Jiang & Xiangling Hu & Wanyu Zheng & Dongning Li, 2025.
"Optimizing Efficiency for Logistics Training Using Virtual Reality Movies,"
Mathematics, MDPI, vol. 13(16), pages 1-29, August.
Handle:
RePEc:gam:jmathe:v:13:y:2025:i:16:p:2676-:d:1728540
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