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Evaluating the Suitability of Crowd-Shipping Platforms for Small and Medium-Sized Enterprises

Author

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  • Anuj Mittal

    (Iowa Valley Resource Conservation and Development, 920 48th Avenue, Amana, IA 52203, USA
    These authors contributed equally to this work.)

  • Amy A. Marusak

    (Department of Industrial, Manufacturing and Systems Engineering, The University of Texas at Arlington, Box 19017, Arlington, TX 76019, USA
    These authors contributed equally to this work.)

  • Caroline C. Krejci

    (Department of Industrial, Manufacturing and Systems Engineering, The University of Texas at Arlington, Box 19017, Arlington, TX 76019, USA
    These authors contributed equally to this work.)

  • Narjes Sadeghiamirshahidi

    (Department of Industrial, Manufacturing and Systems Engineering, The University of Texas at Arlington, Box 19017, Arlington, TX 76019, USA)

  • K. Jamie Rogers

    (Department of Industrial, Manufacturing and Systems Engineering, The University of Texas at Arlington, Box 19017, Arlington, TX 76019, USA)

Abstract

Crowd-shipping platforms have the potential to serve as flexible and low-cost logistics solutions for small and medium-sized enterprises (SMEs), which tend to have proportionally higher logistics costs than large companies. By increasing visibility and access to underutilized vehicle capacity, crowd-shipping platforms can offer lower rates than traditional delivery services. Leveraging excess capacity on premeditated delivery trips can also improve logistics efficiency and reduce emissions. However, high platform fees, insufficient carriers, and difficulty finding suitable platforms are common barriers to widespread adoption. This research evaluates the degree to which existing commercial crowd-shipping platforms can provide suitable transportation solutions for SMEs. A systematic search yielded 400 platforms, which were evaluated for SME suitability by requesting quotes for delivery service from each platform, based on typical shipping requirements of two agriculture-based SMEs in Texas. The responses and quotes that were received, as well as feedback from the case study SMEs, indicate that most existing platforms are unlikely to meet the needs of SME shippers. The results suggest ways in which crowd-shipping platform managers could take advantage of this market opportunity by tailoring the services and features of their platforms to better meet the expectations of SMEs.

Suggested Citation

  • Anuj Mittal & Amy A. Marusak & Caroline C. Krejci & Narjes Sadeghiamirshahidi & K. Jamie Rogers, 2022. "Evaluating the Suitability of Crowd-Shipping Platforms for Small and Medium-Sized Enterprises," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14177-:d:958259
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    References listed on IDEAS

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    1. Craig Standing & Susan Standing & Sharon Biermann, 2019. "The implications of the sharing economy for transport," Transport Reviews, Taylor & Francis Journals, vol. 39(2), pages 226-242, March.
    2. Punel, Aymeric & Stathopoulos, Amanda, 2017. "Modeling the acceptability of crowdsourced goods deliveries: Role of context and experience effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 18-38.
    3. 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.
    4. Dey, Prasanta Kumar & Malesios, Chrysovalantis & Chowdhury, Soumyadeb & Saha, Krishnendu & Budhwar, Pawan & De, Debashree, 2022. "Adoption of circular economy practices in small and medium-sized enterprises: Evidence from Europe," International Journal of Production Economics, Elsevier, vol. 248(C).
    5. Sundararajan, Arun, 2016. "The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262034573, December.
    6. MacDonald, James M. & Hoppe, Robert, 2017. "Large Family Farms Continue To Dominate U.S. Agricultural Production," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 02, March.
    7. 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.
    8. Anuj Mittal & Caroline C. Krejci & Teri J. Craven, 2018. "Logistics Best Practices for Regional Food Systems: A Review," Sustainability, MDPI, vol. 10(1), pages 1-44, January.
    9. Evans David S. & Schmalensee Richard, 2010. "Failure to Launch: Critical Mass in Platform Businesses," Review of Network Economics, De Gruyter, vol. 9(4), pages 1-28, December.
    10. He, Bo & Mirchandani, Prakash & Shen, Qichao & Yang, Guang, 2021. "How should local Brick-and-Mortar retailers offer delivery service in a pandemic World? Self-building Vs. O2O platform," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
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