IDEAS home Printed from https://ideas.repec.org/a/spr/jtrsec/v11y2018i1d10.1007_s12198-018-0186-0.html
   My bibliography  Save this article

The use of violence in cargo theft – a supply chain disruption case

Author

Listed:
  • Daniel Ekwall

    (University of Borås
    Hanken School of Economics)

  • Björn Lantz

    (Chalmers University of Technology)

Abstract

This paper examines patterns of reported cargo thefts involving violence in the Europe, Middle East, and Africa region with regard to the value of stolen goods, incident frequency, transport chain location, and incident category. The research method is deductive and is based on analyses of secondary data obtained from the Incident Information Service by the Transported Asset Protection Association. The results are discussed within a frame of reference based on supply chain risk management and supply chain disruption literature. We found that perpetrators who use violence seem to cause greater losses per theft than those who use other types of modus operandi. Further, the most common type of violent cargo theft occurs on Mondays in January when cargo vehicles are robbed on the road and consumer electronics are stolen. In terms of supply chain disruption, violent cargo thefts can be seen as externally-caused disruptions, which can indirectly cause major problems for the supply chain.

Suggested Citation

  • Daniel Ekwall & Björn Lantz, 2018. "The use of violence in cargo theft – a supply chain disruption case," Journal of Transportation Security, Springer, vol. 11(1), pages 3-21, June.
    • Handle: RePEc:spr:jtrsec:v:11:y:2018:i:1:d:10.1007_s12198-018-0186-0
    DOI: 10.1007/s12198-018-0186-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12198-018-0186-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12198-018-0186-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David L Levy, 1995. "International Sourcing and Supply Chain Stability," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 26(2), pages 343-360, June.
    2. Gorr, Wilpen & Olligschlaeger, Andreas & Thompson, Yvonne, 2003. "Short-term forecasting of crime," International Journal of Forecasting, Elsevier, vol. 19(4), pages 579-594.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Desbordes, Rodolphe, 2007. "The sensitivity of U.S. multinational enterprises to political and macroeconomic uncertainty: A sectoral analysis," International Business Review, Elsevier, vol. 16(6), pages 732-750, December.
    2. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    3. Ana Teresa Tavares & Stephen Young, 2006. "Sourcing patterns of foreign-owned multinational subsidiaries in Europe," Regional Studies, Taylor & Francis Journals, vol. 40(6), pages 583-600.
    4. Laurent Lim, Lâm & Alpan, Gülgün & Penz, Bernard, 2014. "Reconciling sales and operations management with distant suppliers in the automotive industry: A simulation approach," International Journal of Production Economics, Elsevier, vol. 151(C), pages 20-36.
    5. Wagner, Hardy, 2004. "Internationalization speed and cost efficiency: evidence from Germany," International Business Review, Elsevier, vol. 13(4), pages 447-463, August.
    6. Samli, A. Coskun & Browning, John M. & Busbia, Carolyn, 1998. "The Status of Global Sourcing as a Critical Tool of Strategic Planning:: Opportunistic Versus Strategic Dichotomy," Journal of Business Research, Elsevier, vol. 43(3), pages 177-187, November.
    7. Panagiotis Stalidis & Theodoros Semertzidis & Petros Daras, 2021. "Examining Deep Learning Architectures for Crime Classification and Prediction," Forecasting, MDPI, vol. 3(4), pages 1-22, October.
    8. Dieter Ernst, 2002. "Global production networks and the changing geography of innovation systems. Implications for developing countries," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(6), pages 497-523.
    9. Shoesmith, Gary L., 2013. "Space–time autoregressive models and forecasting national, regional and state crime rates," International Journal of Forecasting, Elsevier, vol. 29(1), pages 191-201.
    10. Geary, S. & Disney, S.M. & Towill, D.R., 2006. "On bullwhip in supply chains--historical review, present practice and expected future impact," International Journal of Production Economics, Elsevier, vol. 101(1), pages 2-18, May.
    11. Thomas Hutzschenreuter & Arie Y. Lewin & Stephan Dresel, 2011. "Time to Success in Offshoring Business Processes," Management International Review, Springer, vol. 51(1), pages 65-92, February.
    12. Ojha, Divesh & Shockley, Jeff & Acharya, Chandan, 2016. "Supply chain organizational infrastructure for promoting entrepreneurial emphasis and innovativeness: The role of trust and learning," International Journal of Production Economics, Elsevier, vol. 179(C), pages 212-227.
    13. Liena Kano & Eric W. K. Tsang & Henry Wai-chung Yeung, 2020. "Global value chains: A review of the multi-disciplinary literature," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(4), pages 577-622, June.
    14. Holweg, Matthias & Reichhart, Andreas & Hong, Eui, 2011. "On risk and cost in global sourcing," International Journal of Production Economics, Elsevier, vol. 131(1), pages 333-341, May.
    15. Huddleston, Samuel H. & Porter, John H. & Brown, Donald E., 2015. "Improving forecasts for noisy geographic time series," Journal of Business Research, Elsevier, vol. 68(8), pages 1810-1818.
    16. Usman Ghani & Peter Toth & Fekete David, 2023. "Predictive Choropleth Maps Using ARIMA Time Series Forecasting for Crime Rates in Visegrád Group Countries," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    17. Tao Hu & Xinyan Zhu & Lian Duan & Wei Guo, 2018. "Urban crime prediction based on spatio-temporal Bayesian model," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-18, October.
    18. Andreas Grossler, 2010. "An Exploratory Study of Differences in Manufacturing Strategy between National and Global Production Firms," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 1(1), pages 47-62, December.
    19. Lorentz, Harri & Kumar, Mukesh & Srai, Jagjit Singh, 2018. "Managing distance in international purchasing and supply: a systematic review of literature from the resource-based view perspective," International Business Review, Elsevier, vol. 27(2), pages 339-354.
    20. Jean-François Richard, 2015. "Likelihood Based Inference and Prediction in Spatio-temporal Panel Count Models for Urban Crimes," Working Paper 5657, Department of Economics, University of Pittsburgh.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jtrsec:v:11:y:2018:i:1:d:10.1007_s12198-018-0186-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.