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Cargo theft in the motor carrier industry: an exploratory study

Author

Listed:
  • Christopher A. Boone

    (Georgia Southern University)

  • Joseph B. Skipper

    (Georgia Southern University)

  • Adam Murfield

    (Georgia Southern University)

  • Monique L. Ueltschy Murfield

    (Miami University)

Abstract

Supply chain managers increasingly point to supply chain security as one of their most pressing concerns. One especially challenging security related issue for those responsible for the shipment and transportation of cargo is the threat of cargo theft. Cargo theft is estimated to cost companies $10B annually in the U.S and $30B worldwide, with more than 90 % of those incidents targeting the transportation component of the supply chain. Despite the increased cost and threat of cargo theft, little scholarly research is available which investigates the issue. This research endeavors to extend our understanding of theft of in-transit cargo. More specifically, this effort endeavors to identify how transportation providers are combating cargo theft and thus answers the call for investigations into corporate responses to security issues like cargo theft. This research utilizes in-depth qualitative interviews with industry professionals to gain insights into the practices managers are using to protect against the current threat of cargo theft and to highlight some of the future challenges and trends related to cargo theft.

Suggested Citation

  • Christopher A. Boone & Joseph B. Skipper & Adam Murfield & Monique L. Ueltschy Murfield, 2016. "Cargo theft in the motor carrier industry: an exploratory study," Journal of Transportation Security, Springer, vol. 9(1), pages 57-70, June.
  • Handle: RePEc:spr:jtrsec:v:9:y:2016:i:1:d:10.1007_s12198-016-0166-1
    DOI: 10.1007/s12198-016-0166-1
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    References listed on IDEAS

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    1. Kevin B. Hendricks & Vinod R. Singhal, 2005. "Association Between Supply Chain Glitches and Operating Performance," Management Science, INFORMS, vol. 51(5), pages 695-711, May.
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    Cited by:

    1. Liang, Xinrui & Fan, Shiqi & Lucy, John & Yang, Zaili, 2022. "Risk analysis of cargo theft from freight supply chains using a data-driven Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    2. Manavalan Ethirajan & Thanigai Arasu M & Jayakrishna Kandasamy & Vimal K.E.K & Simon Peter Nadeem & Anil Kumar, 2021. "Analysing the risks of adopting circular economy initiatives in manufacturing supply chains," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 204-236, January.

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