IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i16p2676-d1728540.html
   My bibliography  Save this article

Optimizing Efficiency for Logistics Training Using Virtual Reality Movies

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/16/2676/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/16/2676/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    2. Věroslav Holuša & Michal Vaněk & Filip Beneš & Jiří Švub & Pavel Staša, 2023. "Virtual Reality as a Tool for Sustainable Training and Education of Employees in Industrial Enterprises," Sustainability, MDPI, vol. 15(17), pages 1-24, August.
    3. Jinxia Wang & Yunfeng Tan & Lingling Zhan & Hongjun Yang & Xieling Li & Fang Gao & Siyuan Qiu, 2024. "Sustainable development of environmental protection talents training: Research on the behavior decision of government, university and enterprise under the background of evolutionary game," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-26, February.
    4. Chunyan Shi & Xinyue Miao & Hui Liu & Yang Han & Yafei Wang & Weijun Gao & Gen Liu & Siwen Li & Yingzi Lin & Xindong Wei & Tongyu Xu, 2023. "How to promote the sustainable development of virtual reality technology for training in construction filed: A tripartite evolutionary game analysis," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-24, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jinxia Wang & Yunfeng Tan & Qiong Hu & Huarong Cheng & Fang Gao, 2024. "Research on talent cultivation for rural revitalization based on three-party evolutionary game," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-20, November.
    2. Ianni, A., 2002. "Reinforcement learning and the power law of practice: some analytical results," Discussion Paper Series In Economics And Econometrics 203, Economics Division, School of Social Sciences, University of Southampton.
    3. Tao Du & Jinyu Li & Liuyuanyuan Guo & Xiaohu Wang & Qiuyue Zhu, 2024. "The evolutionary game of establishing a remote consultation system based on the downward allocation of medical resources in a medical alliance," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-25, July.
    4. Sandholm,W.H., 2003. "Excess payoff dynamics, potential dynamics, and stable games," Working papers 5, Wisconsin Madison - Social Systems.
    5. Viossat, Yannick, 2008. "Evolutionary dynamics may eliminate all strategies used in correlated equilibrium," Mathematical Social Sciences, Elsevier, vol. 56(1), pages 27-43, July.
    6. Hui Yu & Wei Wang & Baohua Yang & Cunfang Li, 2019. "Evolutionary Game Analysis of the Stress Effect of Cross-Regional Transfer of Resource-Exhausted Enterprises," Complexity, Hindawi, vol. 2019, pages 1-16, November.
    7. Daozhi Zhao & Jiaqin Hao & Cejun Cao & Hongshuai Han, 2019. "Evolutionary Game Analysis of Three-Player for Low-Carbon Production Capacity Sharing," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    8. Qipeng Sun & Yuqi He & Yongjie Wang & Fei Ma, 2019. "Evolutionary Game between Government and Ride-Hailing Platform: Evidence from China," Discrete Dynamics in Nature and Society, Hindawi, vol. 2019, pages 1-14, January.
    9. Aradhana Narang & A. J. Shaiju, 2019. "Evolutionary Stability of Polymorphic Profiles in Asymmetric Games," Dynamic Games and Applications, Springer, vol. 9(4), pages 1126-1142, December.
    10. Wei Wang & Yanbin Li & Jinzhong Li & Yun Li, 2024. "Can pumped-storage power stations stimulate rural revitalization? Evidence from the four-party evolutionary game," Journal of Evolutionary Economics, Springer, vol. 34(3), pages 595-645, July.
    11. Oechssler, Jorg, 1997. "An Evolutionary Interpretation of Mixed-Strategy Equilibria," Games and Economic Behavior, Elsevier, vol. 21(1-2), pages 203-237, October.
    12. Zhang, Weiwei & Wang, Yuanrong & Chen, Ximei & Li, Yunzhuo & Dai, He, 2025. "Exploring the diffusion mechanisms of CCS-EOR technology: A quadripartite evolutionary game," Energy, Elsevier, vol. 320(C).
    13. Yingrui Ma & Chao Wu & Xindong Wei & Weijun Gao & Lei Sun, 2024. "Evolutionary Dynamics of Passive Housing Initiatives in New Rural Construction," Sustainability, MDPI, vol. 16(13), pages 1-20, June.
    14. Demichelis, Stefano & Ritzberger, Klaus, 2003. "From evolutionary to strategic stability," Journal of Economic Theory, Elsevier, vol. 113(1), pages 51-75, November.
    15. Hauk, Esther & Hurkens, Sjaak, 2002. "On Forward Induction and Evolutionary and Strategic Stability," Journal of Economic Theory, Elsevier, vol. 106(1), pages 66-90, September.
    16. Yong Sun & Yalin Wang & Baoyin Liu & Zhongrui Sun, 2023. "Evolutionary game of destination brand co‐construction with government involvement," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2125-2136, June.
    17. DeMichelis, Stefano & Germano, Fabrizio, 2000. "On the Indices of Zeros of Nash Fields," Journal of Economic Theory, Elsevier, vol. 94(2), pages 192-217, October.
    18. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2021. "Exploring the dilemma of overcapacity governance in China's coal industry: A tripartite evolutionary game model," Resources Policy, Elsevier, vol. 71(C).
    19. Freixas Xavier & Hurkens Sjaak & Morrison Alan D & Vulkan Nir, 2007. "Interbank Competition with Costly Screening," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 7(1), pages 1-27, May.
    20. Sumitra Nuanmeesri, 2024. "The Affordable Virtual Learning Technology of Sea Salt Farming across Multigenerational Users through Improving Fitts’ Law," Sustainability, MDPI, vol. 16(17), pages 1-21, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:13:y:2025:i:16:p:2676-:d:1728540. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.