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Ranking US airlines – a multi-attribute decision making approach

Author

Listed:
  • Aman Gupta
  • Robert O. Walton

Abstract

Airline competition has typically been assessed typically using one performance measure, with some exceptions where a combination of a few performance measures has been used. This research presents a multi-attribute decision making approach to assess the competitiveness of airlines in the USA. The performance measures are considered under five competitiveness dimensions including, cost, price, service quality, management and productivity. Input from airline decision-makers was used to assign weights to the performance measures. The analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods were used to conduct a competitiveness analysis of ten US airlines for the year 2015. While the two methods produced slightly different results, the TOPSIS was found to be superior since it returned results in line with previous studies. These results can be used by airline management to benchmark against competitors.

Suggested Citation

  • Aman Gupta & Robert O. Walton, 2022. "Ranking US airlines – a multi-attribute decision making approach," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 42(1), pages 75-88.
    • Handle: RePEc:ids:ijlsma:v:42:y:2022:i:1:p:75-88
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