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Performance issues of Smart Transportation Management systems

Author

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  • Gunnar Stefansson
  • Kenth Lumsden

Abstract

Purpose - The purpose of this paper is to use the conceptual model of the Smart Transportation Management (STM) system and analyze how the included factors change the performance of distribution activities and what management issues are at stake. Design/methodology/approach - To prepare the paper, a literature study was made and case studies carried out in companies and organizations that are included in advanced transportation setups, including infrastructure providers, carriers, truck manufacturers, software providers, shippers, and more. Findings - The main finding of the study is a model that includes three major components of smart transportation management, namely, smart goods, smart vehicles and smart infrastructure. These components embrace some factors that have effects on supply chain performance; however, to different extents. Research limitations/implications - The paper uses a framework for the smart transportation management system that is useful when studying advanced transportation management systems, the functions that need to be supported and what factors have effects on supply chain performance. Practical implications - Practical implications are mainly based on the structure of the smart transportation system that is used and the identified factors that affect the performance of the supply chain, as these factors can be influenced by logistics management. Originality/value - The framework used in this research is a new development that collects advanced functions of goods identification, vehicle information systems and infrastructure systems into one conceptual model for smart transportation management that include some factors that are affecting supply chain performance.

Suggested Citation

  • Gunnar Stefansson & Kenth Lumsden, 2009. "Performance issues of Smart Transportation Management systems," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 58(1), pages 55-70, January.
    • Handle: RePEc:eme:ijppmp:v:58:y:2009:i:1:p:55-70
    DOI: 10.1108/17410400910921083
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    Citations

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    Cited by:

    1. Bart Wiegmans & Isle Menger & Behzad Behdani & Bart Arem, 2018. "Communication between deep sea container terminals and hinterland stakeholders: information needs and the relevance of information exchange," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(4), pages 531-548, December.
    2. Ryszard K. Miler & Marcin J. Kisielewski & Anna Brzozowska & Antonina Kalinichenko, 2020. "Efficiency of Telematics Systems in Management of Operational Activities in Road Transport Enterprises," Energies, MDPI, vol. 13(18), pages 1-21, September.
    3. Y H Yang & Y V Hui & L C Leung & G Chen, 2010. "An analytic network process approach to the selection of logistics service providers for air cargo," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(9), pages 1365-1376, September.
    4. Ferri Kuswantoro & M. Mohd Rosli & Radiah Abdul Kader, 2012. "Innovation In Distribution Channel(S) & Cost Efficiency On Small & Medium Enterprise Scales’ Performance In Indonesia," Journal of Global Entrepreneurship, Global Research Agency, vol. 3(1), pages 42-67, July.
    5. Maziriri E T & Chinomona E, 2016. "Modeling the Influence of Relationship Marketing, Green Marketing and Innovative Marketing on the Business Performance of Small, Medium and Micro Enterprises (SMMES)," Journal of Economics and Behavioral Studies, AMH International, vol. 8(3), pages 127-139.
    6. Iqbal Yulizar Mukti & Yudha Prambudia, 2018. "Challenges in Governing the Digital Transportation Ecosystem in Jakarta: A Research Direction in Smart City Frameworks," Challenges, MDPI, vol. 9(1), pages 1-10, March.

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