IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/52204.html
   My bibliography  Save this paper

Assessing the role of goods transport in organizational performance

Author

Listed:
  • Sambracos, Evangelos
  • Ramfou, Irene

Abstract

In today’s world, transport management is a key strategic factor for the achievement of organizational goals such as economic efficiency and effectiveness. Likewise, transport decisions are important for the development and establishment of organizational policies aiming at enhancing competitiveness, customer satisfaction and profitability. Companies though must realize that in order to develop an efficient and effective transportation system within the context of their supply chain, they must be able to trace and evaluate the causality mechanisms between the transport function and their performance. The exploration of these subjects commences with a literature review in the fields of transportation, logistics and performance measurement. Following, we develop a theoretical framework for assessing the effect of transportation to organizational performance. Our main instruments for the development of our model are the Balanced Scorecard model and the Supply Chain Operations Reference model (SCOR). These performance systems are supplemented by various established measures aiming at the development of a theoretical framework, a measurement instrument for the performance assessment of transport choices and improvements.

Suggested Citation

  • Sambracos, Evangelos & Ramfou, Irene, 2010. "Assessing the role of goods transport in organizational performance," MPRA Paper 52204, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:52204
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/52204/1/MPRA_paper_52204.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Guide, V. Daniel R. & Kraus, Mark E. & Srivastava, Rajesh, 1997. "Scheduling policies for remanufacturing," International Journal of Production Economics, Elsevier, vol. 48(2), pages 187-204, January.
    2. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    3. Lai, Kee-Hung & Ngai, E. W. T. & Cheng, T. C. E., 2004. "An empirical study of supply chain performance in transport logistics," International Journal of Production Economics, Elsevier, vol. 87(3), pages 321-331, February.
    4. Lai, Kee-hung & Ngai, E. W. T. & Cheng, T. C. E., 2002. "Measures for evaluating supply chain performance in transport logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(6), pages 439-456, November.
    5. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    6. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
    7. Dreyer, Bent & Gronhaug, Kjell, 2004. "Uncertainty, flexibility, and sustained competitive advantage," Journal of Business Research, Elsevier, vol. 57(5), pages 484-494, May.
    8. Thomas, Douglas J. & Griffin, Paul M., 1996. "Coordinated supply chain management," European Journal of Operational Research, Elsevier, vol. 94(1), pages 1-15, October.
    9. Mason-Jones, Rachel & Towill, Denis R., 1999. "Total cycle time compression and the agile supply chain," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 61-73, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Goods transport; performance measurement systems; performance metrics.;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

    Statistics

    Access and download statistics

    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:pra:mprapa:52204. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.