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Crowd Logistics − A Literature Review and Maturity Model

In: Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 20

Author

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  • Mehmann, Jens
  • Frehe, Volker
  • Teuteberg, Frank

Abstract

Crowd Logistics (CL) is identified as a topic of high importance in the area of logistics. From the practical point of view, initial experiences and realizations have already been gained, however, scientific research regarding Crowd Logistics is still in its infancy and multiple research questions are still unexplored. By means of a systematic literature review (LR) as well as a quantitative data analysis (QDA) of existing business models, we obtained a scientific definition of the term Crowd Logistics. Furthermore, we set up a research agenda to counter the open research questions. Additionally, based on the results of the LR and the QDA as well as the knowledge gained in field studies, we developed a Crowd Logistics Maturity Model (CLMM). We evaluated the CLMM by the use of an existing company.

Suggested Citation

  • Mehmann, Jens & Frehe, Volker & Teuteberg, Frank, 2015. "Crowd Logistics − A Literature Review and Maturity Model," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Proceedings of the Hamburg Internationa, volume 20, pages 117-145, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:209253
    DOI: 10.15480/882.1264
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    2. Akeb, Hakim & Moncef, Btissam & Durand, Bruno, 2018. "Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 223-233.
    3. Guo, Chaojie & Thompson, Russell G. & Foliente, Greg & Kong, Xiang T.R., 2021. "An auction-enabled collaborative routing mechanism for omnichannel on-demand logistics through transshipment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    4. Alireza Ermagun & Ali Shamshiripour & Amanda Stathopoulos, 2020. "Performance analysis of crowd-shipping in urban and suburban areas," Transportation, Springer, vol. 47(4), pages 1955-1985, August.
    5. Vasco Silva & António Amaral & Tânia Fontes, 2023. "Sustainable Urban Last-Mile Logistics: A Systematic Literature Review," Sustainability, MDPI, vol. 15(3), pages 1-27, January.
    6. Tássia Faria de Assis & Victor Hugo Souza de Abreu & Mariane Gonzalez da Costa & Marcio de Almeida D’Agosto, 2022. "Methodology for Prioritizing Best Practices Applied to the Sustainable Last Mile—The Case of a Brazilian Parcel Delivery Service Company," Sustainability, MDPI, vol. 14(7), pages 1-24, March.
    7. Wang, Xin & Huang, George Q., 2021. "When and how to share first-mile parcel collection service," European Journal of Operational Research, Elsevier, vol. 288(1), pages 153-169.
    8. Jagienka Rześny-Cieplińska & Agnieszka Szmelter-Jarosz, 2019. "Assessment of the Crowd Logistics Solutions—The Stakeholders’ Analysis Approach," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    9. Agnieszka Szmelter-Jarosz & Jagienka Rześny-Cieplińska, 2019. "Priorities of Urban Transport System Stakeholders According to Crowd Logistics Solutions in City Areas. A Sustainability Perspective," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    10. Ermagun, Alireza & Stathopoulos, Amanda, 2018. "To bid or not to bid: An empirical study of the supply determinants of crowd-shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 468-483.
    11. Pourrahmani, Elham & Jaller, Miguel, 2021. "Crowdshipping in last mile deliveries: Operational challenges and research opportunities," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    12. Kun-Huang Huarng, 2018. "Entrepreneurship for Long-term Care in Sharing Economy," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 97-104, March.
    13. Mingyu Zhang & Yuhuan Xia & Shuang Li & Wenbing Wu & Shuxiang Wang, 2019. "Crowd Logistics Platform’s Informative Support to Logistics Performance: Scale Development and Empirical Examination," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    14. Jagienka Rześny-Cieplińska & Agnieszka Szmelter-Jarosz, 2020. "Environmental Sustainability in City Logistics Measures," Energies, MDPI, vol. 13(6), pages 1-29, March.
    15. Kexin Bi & Mengke Yang & Latif Zahid & Xiaoguang Zhou, 2020. "A New Solution for City Distribution to Achieve Environmental Benefits within the Trend of Green Logistics: A Case Study in China," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    16. Devari, Aashwinikumar & Nikolaev, Alexander G. & He, Qing, 2017. "Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 105-122.
    17. Ahmad Alharbi & Chantal Cantarelli & Andrew Brint, 2022. "Crowd Models for Last Mile Delivery in an Emerging Economy," Sustainability, MDPI, vol. 14(3), pages 1-20, January.

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