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Weighting the competitiveness factors for container ports under conflicting interests

Author

Listed:
  • G-T Yeo

    (University of Incheon)

  • D-W Song

    (Heriot-Watt University)

  • J Dinwoodie

    (University of Plymouth Business School)

  • M Roe

    (University of Plymouth Business School)

Abstract

Generally, an evaluation of container port competitiveness is regarded as a multiple criteria decision-making (MCDM) problem which involves various stakeholders with conflicting interests. To solve MCDM problems, the analytic hierarchy process (AHP) method has been popular, but problems arise in managing uncertainty among decision makers, and contradictory opinions. The key issue discussed in this paper is how to obtain compromise weights (CWs) using a combined AHP procedure. This procedure incorporates Dempster-Shafer theory for eliminating uncertainty in the evaluation, and a levelling process for adjusting the contradictory opinions of each group, a so-called multiple decision-making group problem. For an empirical analysis, container ports located in Northeast Asia, known to exhibit severe port competition, were selected. Using an adoption of the methodology, the matrix of CWs was obtained. Using this matrix permits an exact evaluation of competitiveness in the sampled container ports.

Suggested Citation

  • G-T Yeo & D-W Song & J Dinwoodie & M Roe, 2010. "Weighting the competitiveness factors for container ports under conflicting interests," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(8), pages 1249-1257, August.
  • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:8:d:10.1057_jors.2009.88
    DOI: 10.1057/jors.2009.88
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    References listed on IDEAS

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    Cited by:

    1. A Ishizaka & D Balkenborg & T Kaplan, 2011. "Does AHP help us make a choice? An experimental evaluation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(10), pages 1801-1812, October.
    2. Ho, William & Ma, Xin, 2018. "The state-of-the-art integrations and applications of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 267(2), pages 399-414.

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