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Crowdsourced delivery: A review of platforms and academic literature

Citations

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Cited by:

  1. Lin Zhou & Yanping Chen & Yi Jing & Youwei Jiang, 2021. "Evolutionary Game Analysis on Last Mile Delivery Resource Integration—Exploring the Behavioral Strategies between Logistics Service Providers, Property Service Companies and Customers," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
  2. Henri Kervola & Erika Kallionpää & Heikki Liimatainen, 2022. "Delivering Goods Using a Baby Pram: The Sustainability of Last-Mile Logistics Business Models," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
  3. He, Bo & Gupta, Varun & Mirchandani, Prakash, 2021. "Online selling through O2O platform or on your own? Strategic implications for local Brick-and-Mortar stores," Omega, Elsevier, vol. 103(C).
  4. Martin W.P Savelsbergh & Marlin W. Ulmer, 2022. "Challenges and opportunities in crowdsourced delivery planning and operations," 4OR, Springer, vol. 20(1), pages 1-21, March.
  5. Yuwei Yan & Xiaomeng Ma & Yi Song & Ajay Kumar & Ruixian Yang, 2023. "Exploring the interaction and choice behavior of organization and individuals in the crowd logistics," Annals of Operations Research, Springer, vol. 320(2), pages 1021-1040, January.
  6. Mohamed Amr Sultan & Tomaž Kramberger & Mahmoud Barakat & Ahmed Hussein Ali, 2023. "Barriers to Applying Last-Mile Logistics in the Egyptian Market: An Extension of the Technology Acceptance Model," Sustainability, MDPI, vol. 15(17), pages 1-25, August.
  7. Zhang, Huili & Luo, Kelin & Xu, Yao & Xu, Yinfeng & Tong, Weitian, 2022. "Online crowdsourced truck delivery using historical information," European Journal of Operational Research, Elsevier, vol. 301(2), pages 486-501.
  8. Zehtabian, Shohre & Larsen, Christian & Wøhlk, Sanne, 2022. "Estimation of the arrival time of deliveries by occasional drivers in a crowd-shipping setting," European Journal of Operational Research, Elsevier, vol. 303(2), pages 616-632.
  9. Tufano, Alessandro & Zuidwijk, Rob & Van Dalen, Jan, 2023. "The development of data-driven logistic platforms for barge transportation network under incomplete data," Omega, Elsevier, vol. 114(C).
  10. Mo, Pengli & Yao, Yu & D’Ariano, Andrea & Liu, Zhiyuan, 2023. "The vehicle routing problem with underground logistics: Formulation and algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
  11. Fehn, Fabian & Engelhardt, Roman & Dandl, Florian & Bogenberger, Klaus & Busch, Fritz, 2023. "Integrating parcel deliveries into a ride-pooling service—An agent-based simulation study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
  12. Zhang, Jian & Woensel, Tom Van, 2023. "Dynamic vehicle routing with random requests: A literature review," International Journal of Production Economics, Elsevier, vol. 256(C).
  13. Tao, Jiawei & Dai, Hongyan & Chen, Weiwei & Jiang, Hai, 2023. "The value of personalized dispatch in O2O on-demand delivery services," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1022-1035.
  14. Chen, Rui & Jia, Shuai & Meng, Qiang, 2023. "Dynamic container drayage booking and routing decision support approach for E-commerce platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
  15. Iman Dayarian & Jennifer Pazour, 2022. "Crowdsourced order‐fulfillment policies using in‐store customers," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4075-4094, November.
  16. Pasirayi, Simbarashe & Fennell, Patrick B. & Sen, Argha, 2023. "The effect of third-party delivery partnerships on firm value," Journal of Business Research, Elsevier, vol. 167(C).
  17. Yuen, Kum Fai & Ng, Wei Hong & Wang, Xueqin, 2023. "Switching intention in the online crowdsourced delivery environment: The influence of a platform's technological characteristics and relational bonding strategies," Technology in Society, Elsevier, vol. 72(C).
  18. Wang, Haibo & Alidaee, Bahram, 2023. "White-glove service delivery: A quantitative analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
  19. 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.
  20. Marlin W. Ulmer & Alan Erera & Martin Savelsbergh, 2022. "Dynamic service area sizing in urban delivery," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(3), pages 763-793, September.
  21. Di Puglia Pugliese, Luigi & Ferone, Daniele & Macrina, Giusy & Festa, Paola & Guerriero, Francesca, 2023. "The crowd-shipping with penalty cost function and uncertain travel times," Omega, Elsevier, vol. 115(C).
  22. Auad, Ramon & Erera, Alan & Savelsbergh, Martin, 2023. "Courier satisfaction in rapid delivery systems using dynamic operating regions," Omega, Elsevier, vol. 121(C).
  23. Zhen, Lu & Baldacci, Roberto & Tan, Zheyi & Wang, Shuaian & Lyu, Junyan, 2022. "Scheduling heterogeneous delivery tasks on a mixed logistics platform," European Journal of Operational Research, Elsevier, vol. 298(2), pages 680-698.
  24. Bahareh Mansouri & Subhasmita Sahu & M. Ali Ülkü, 2023. "Toward Greening City Logistics: A Systematic Review on Corporate Governance and Social Responsibility in Managing Urban Distribution Centers," Logistics, MDPI, vol. 7(1), pages 1-20, March.
  25. Mancini, Simona & Gansterer, Margaretha, 2022. "Bundle generation for last-mile delivery with occasional drivers," Omega, Elsevier, vol. 108(C).
  26. Bathke, Henrik & Hartmann, Evi, 2021. "Accepting a crowdsourced delivery - A choice-based conjoint analysis," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 65-95, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
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