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ChatGPT-enabled two-stage auctions for electric vehicle battery recycling

Author

Listed:
  • Feng, Jianghong
  • Ning, Yu
  • Wang, Zhaohua
  • Li, Guo
  • Xiu Xu, Su

Abstract

The primary objective of this study is to create an advanced management system that seamlessly integrates ChatGPT, an intelligent chatbot, with a cutting-edge two-stage auctions model. This integration aims to optimize the recycling process of electric vehicle batteries, ensuring utmost efficiency. To gauge the effect of incorporating ChatGPT on participants' values, we introduce technology coefficient parameters, providing a deeper understanding of its impact. In the initial phase of the auction, a sophisticated platform or an impartial third-party appraisal firm is employed. Their task is to collect vital attribute information from potential sellers regarding the waste batteries. Subsequently, this information is carefully matched with interested buyers. To determine the appropriate number of buyers both before and after the auction, we introduce two innovative matching mechanisms. We propose the implementation of a pioneering one-sided affine VCG (Vickrey-Clarke-Groves) auction, which portrays the affine externality of buyers to other buyers, along with a weighted generalized second-price auction. Additionally, we introduce a ground-breaking mechanism known as weighted multi-unit trade reduction. This inventive process allows successful bidders from the first stage to actively participate in the subsequent auction. Within this paper, we develop auction allocation rules based on the interplay between winning sellers' supply and winning buyers' demand. The outcomes of our numerical studies demonstrate the efficacy of the two-stage auction method in addressing buyers' concerns regarding battery performance. Furthermore, we have found that the utilization of ChatGPT technology proves advantageous for both participants and the platform; if buyers have a positive affine externality on other buyers, then the platform's revenue will be reduced, while social welfare will increase. In the realm of incentive compatibility, individual rationality, and budget balancing, our proposed mechanism stands unwaveringly strong, having undergone rigorous scrutiny and demonstrating commendable performance in numerous numerical experiments. Lastly, we offer practical management insights for stakeholders in the battery recycling market. These invaluable insights are derived from our hands-on experience, providing a fresh perspective for industry managers.

Suggested Citation

  • Feng, Jianghong & Ning, Yu & Wang, Zhaohua & Li, Guo & Xiu Xu, Su, 2024. "ChatGPT-enabled two-stage auctions for electric vehicle battery recycling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    • Handle: RePEc:eee:transe:v:183:y:2024:i:c:s1366554524000437
    DOI: 10.1016/j.tre.2024.103453
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    References listed on IDEAS

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    1. Zhang, Meng & Kong, Zhaojun, 2022. "A multi-attribute double auction and bargaining model for emergency material procurement," International Journal of Production Economics, Elsevier, vol. 254(C).
    2. Gu, Huaying & Liu, Zhixue & Qing, Qiankai, 2017. "Optimal electric vehicle production strategy under subsidy and battery recycling," Energy Policy, Elsevier, vol. 109(C), pages 579-589.
    3. Ye, Lixin, 2007. "Indicative bidding and a theory of two-stage auctions," Games and Economic Behavior, Elsevier, vol. 58(1), pages 181-207, January.
    4. Li, Jizi & Liu, Fangbing & Zhang, Justin Z. & Tong, Zeping, 2023. "Optimal configuration of electric vehicle battery recycling system under across-network cooperation," Applied Energy, Elsevier, vol. 338(C).
    5. Xiao, Fei & Wang, Haijun & Guo, Shuojia & Guan, Xu & Liu, Baoshan, 2021. "Efficient and truthful multi-attribute auctions for crowdsourced delivery," International Journal of Production Economics, Elsevier, vol. 240(C).
    6. Ivy Munoko & Helen L. Brown-Liburd & Miklos Vasarhelyi, 2020. "The Ethical Implications of Using Artificial Intelligence in Auditing," Journal of Business Ethics, Springer, vol. 167(2), pages 209-234, November.
    7. Zhang, Huiming & Zhu, Kexin & Hang, Zixuan & Zhou, Dequn & Zhou, Yi & Xu, Zhidong, 2022. "Waste battery-to-reutilization decisions under government subsidies: An evolutionary game approach," Energy, Elsevier, vol. 259(C).
    8. Hongbin Cai & J. Vernon Henderson & Qinghua Zhang, 2013. "China's land market auctions: evidence of corruption?," RAND Journal of Economics, RAND Corporation, vol. 44(3), pages 488-521, September.
    9. Zhang, Qi & Tang, Yanyan & Bunn, Derek & Li, Hailong & Li, Yaoming, 2021. "Comparative evaluation and policy analysis for recycling retired EV batteries with different collection modes," Applied Energy, Elsevier, vol. 303(C).
    10. Dowling, Michael & Lucey, Brian, 2023. "ChatGPT for (Finance) research: The Bananarama Conjecture," Finance Research Letters, Elsevier, vol. 53(C).
    11. Xuan Zhao & Benhong Peng & Chaoyu Zheng & Anxia Wan, 2022. "Closed-loop supply chain pricing strategy for electric vehicle batteries recycling in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7725-7752, June.
    12. Eva A. M. van Dis & Johan Bollen & Willem Zuidema & Robert van Rooij & Claudi L. Bockting, 2023. "ChatGPT: five priorities for research," Nature, Nature, vol. 614(7947), pages 224-226, February.
    13. Ding, Xiaoshu & Qi, Qi & Jian, Sisi & Yang, Hai, 2023. "Mechanism design for Mobility-as-a-Service platform considering travelers’ strategic behavior and multidimensional requirements," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 1-30.
    14. Yu, Haijun & Dai, Hongliang & Tian, Guangdong & Wu, Benben & Xie, Yinghao & Zhu, Ying & Zhang, Tongzhu & Fathollahi-Fard, Amir Mohammad & He, Qi & Tang, Hong, 2021. "Key technology and application analysis of quick coding for recovery of retired energy vehicle battery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    15. Wang, Yufei & Liao, Zhongju, 2023. "Functional industrial policy mechanism under natural resource conflict: A case study on the Chinese new energy vehicle industry," Resources Policy, Elsevier, vol. 81(C).
    16. James Morton Turner & Leah M. Nugent, 2016. "Charging up Battery Recycling Policies: Extended Producer Responsibility for Single-Use Batteries in the European Union, Canada, and the United States," Journal of Industrial Ecology, Yale University, vol. 20(5), pages 1148-1158, October.
    17. Katzman, Brett, 1999. "A Two Stage Sequential Auction with Multi-Unit Demands," Journal of Economic Theory, Elsevier, vol. 86(1), pages 77-99, May.
    18. Wang, Lei & Wang, Xiang & Yang, Wenxian, 2020. "Optimal design of electric vehicle battery recycling network – From the perspective of electric vehicle manufacturers," Applied Energy, Elsevier, vol. 275(C).
    19. Tang, Yanyan & Zhang, Qi & Li, Yaoming & Li, Hailong & Pan, Xunzhang & Mclellan, Benjamin, 2019. "The social-economic-environmental impacts of recycling retired EV batteries under reward-penalty mechanism," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
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