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A game-theoretic model for crowd-shipping operations with profit improvement strategies

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  • Xiao, Haohan
  • Xu, Min
  • Wang, Shuaian

Abstract

Taking advantage of app-based platform technologies to connect consignees and shippers, individual-based crowd-shipping (CS) services have become an emerging solution to intra-city deliveries. Compared with conventional logistics (CL) services, the individual-based CS service incentives ordinary people to use social networking to behave collaboratively for alternative deliveries. However, the interactions among several players in the intra-city delivery market with both CS and CL services are not fully investigated, so as the mutual attraction on consignees and shippers and their influences on the CS operations. Motivated by this, we propose a game-theoretic model to explore the CS operations, where indirect network effects are considered to model the mutual attractions between demands and supplies. The optimal strategies of different players are derived from this model, including the price decisions of the CS platform (fare charged from consignees and compensation paid to shippers) and the choice decisions of consignees (CS vs. CL services) and shippers (CS delivery vs. alternative activity). Results show that the indirect network effects reshape the intra-city delivery market with positive effects on the CS market share and the CS platform's profit. Viable policy implications and managerial insights for promoting CS development such as selecting target markets to launch CS services, expanding CS businesses, stimulating CS supplies, and enhancing CS services are proposed.

Suggested Citation

  • Xiao, Haohan & Xu, Min & Wang, Shuaian, 2023. "A game-theoretic model for crowd-shipping operations with profit improvement strategies," International Journal of Production Economics, Elsevier, vol. 262(C).
    • Handle: RePEc:eee:proeco:v:262:y:2023:i:c:s0925527323001469
    DOI: 10.1016/j.ijpe.2023.108914
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    1. Ning, Yu & Yan, Mian & Xu, Su Xiu & Li, Yina & Li, Lixu, 2021. "Shared parking acceptance under perceived network externality and risks: Theory and evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 1-15.
    2. Michele D. Simoni & Edoardo Marcucci & Valerio Gatta & Christian G. Claudel, 2020. "Potential last-mile impacts of crowdshipping services: a simulation-based evaluation," Transportation, Springer, vol. 47(4), pages 1933-1954, August.
    3. 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).
    4. Xin Feng & Feng Chu & Chengbin Chu & Yufei Huang, 2021. "Crowdsource-enabled integrated production and transportation scheduling for smart city logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 59(7), pages 2157-2176, April.
    5. Zhu, Lijing & Wang, Peize & Zhang, Qi, 2019. "Indirect network effects in China’s electric vehicle diffusion under phasing out subsidies," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    6. Shen, Hui & Lin, Jane, 2020. "Investigation of crowdshipping delivery trip production with real-world data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    7. Seokgi Lee & Yuncheol Kang & Vittaldas V. Prabhu, 2016. "Smart logistics: distributed control of green crowdsourced parcel services," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 6956-6968, December.
    8. Ma, Mingyou & Zhang, Fangni & Liu, Wei & Dixit, Vinayak, 2022. "A game theoretical analysis of metro-integrated city logistics systems," Transportation Research Part B: Methodological, Elsevier, vol. 156(C), pages 14-27.
    9. Zhen, Lu & Wu, Yiwei & Wang, Shuaian & Yi, Wen, 2021. "Crowdsourcing mode evaluation for parcel delivery service platforms," International Journal of Production Economics, Elsevier, vol. 235(C).
    10. Jiawei Tao & Hongyan Dai & Hai Jiang & Weiwei Chen, 2021. "Dispatch optimisation in O2O on-demand service with crowd-sourced and in-house drivers," International Journal of Production Research, Taylor & Francis Journals, vol. 59(20), pages 6054-6068, October.
    11. Boysen, Nils & Emde, Simon & Schwerdfeger, Stefan, 2022. "Crowdshipping by employees of distribution centers: Optimization approaches for matching supply and demand," European Journal of Operational Research, Elsevier, vol. 296(2), pages 539-556.
    12. Ghaderi, Hadi & Zhang, Lele & Tsai, Pei-Wei & Woo, Jihoon, 2022. "Crowdsourced last-mile delivery with parcel lockers," International Journal of Production Economics, Elsevier, vol. 251(C).
    13. Wang, Li & Xu, Min & Qin, Hu, 2023. "Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery," Transportation Research Part B: Methodological, Elsevier, vol. 171(C), pages 111-135.
    14. Kung, Ling-Chieh & Zhong, Guan-Yu, 2017. "The optimal pricing strategy for two-sided platform delivery in the sharing economy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 1-12.
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    2. Xiao, Haohan & Xu, Min & Wang, Shuaian, 2023. "Crowd-shipping as a Service: Game-based operating strategy design and analysis," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).

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