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Factors influencing cargo robbery in last-mile delivery of e-commerce: an empirical study in Brazil

Author

Listed:
  • Beatriz Torres Silva

    (Centro Universitario FEI)

  • Mauro Sampaio

    (Centro Universitario FEI)

Abstract

This empirical study examines the factors influencing cargo robbery incidents in Brazil’s last-mile e-commerce delivery. By analyzing historical data from a leading online retailer, the study identifies variables such as shipment value, quantity, time of day, use of third-party services, and the presence or absence of an escort. The findings demonstrate the significant impact of these factors on the severity of cargo robbery incidents in the last-mile delivery process. These results provide valuable insights for developing effective risk management strategies to mitigate cargo robbery risks in the e-commerce sector. The study contributes to the literature on cargo security in last-mile delivery and offers practical implications for businesses, logistics professionals, and policymakers involved in the Brazilian e-commerce industry.

Suggested Citation

  • Beatriz Torres Silva & Mauro Sampaio, 2023. "Factors influencing cargo robbery in last-mile delivery of e-commerce: an empirical study in Brazil," Journal of Transportation Security, Springer, vol. 16(1), pages 1-30, December.
    • Handle: RePEc:spr:jtrsec:v:16:y:2023:i:1:d:10.1007_s12198-023-00267-z
    DOI: 10.1007/s12198-023-00267-z
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    References listed on IDEAS

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    1. Daniel Ekwall & Björn Lantz, 2022. "Seasonality of incident types in transport crime – Analysis of TAPA statistics," Journal of Transportation Security, Springer, vol. 15(3), pages 193-222, December.
    2. Guerin, Leonardo & Vieira, José Geraldo Vidal & de Oliveira, Renata Lúcia Magalhães & de Oliveira, Leise Kelli & de Miranda Vieira, Henrique Ewbank & Dablanc, Laetitia, 2021. "The geography of warehouses in the São Paulo Metropolitan Region and contributing factors to this spatial distribution," Journal of Transport Geography, Elsevier, vol. 91(C).
    3. Léonardo Guerin & José Geraldo Vidal Vieira & Renata Lúcia Magalhães de Oliveira & Leise Kelli de Oliveira & Henrique Ewbank de Miranda Vieira & Laetitia Dablanc, 2021. "The geography of warehouses in the São Paulo Metropolitan Region and contributing factors to this spatial distribution," Post-Print hal-03565703, HAL.
    4. Ferrer, José M. & Martín-Campo, F. Javier & Ortuño, M. Teresa & Pedraza-Martínez, Alfonso J. & Tirado, Gregorio & Vitoriano, Begoña, 2018. "Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications," European Journal of Operational Research, Elsevier, vol. 269(2), pages 501-515.
    5. Vieira, José Geraldo Vidal & Fransoo, Jan C. & Carvalho, Carla Deguirmendjian, 2015. "Freight distribution in megacities: Perspectives of shippers, logistics service providers and carriers," Journal of Transport Geography, Elsevier, vol. 46(C), pages 46-54.
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