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Conditional efficiency, operational risk and electronic ticket pricing strategies for the airline industry

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  • Paul K. Bergey
  • Sangkil Moon

Abstract

As the USA moves towards an economic slowdown and possible recession, the airline industry is particularly vulnerable to consumer price sensitivity regarding the purchase of electronic tickets. In this research, we provide a methodological approach that utilises operational risk metrics to examine the impact of various electronic ticket pricing strategies on profitability. Specifically, the work presented herein is differentiated from previous airline revenue management studies in the following ways: 1) we develop a Monte Carlo simulation model which can be used effectively to construct conditionally efficient discount ticket pricing strategies, 2) we show that the operational value at risk and expected shortfall are effective measures for weighing the risk-return tradeoffs for efficient discount ticket pricing strategies along the constructed frontier and 3) we implement a demand-recapturing variable in the simulation model where prior studies have assumed independent demand among various consumer classes.

Suggested Citation

  • Paul K. Bergey & Sangkil Moon, 2009. "Conditional efficiency, operational risk and electronic ticket pricing strategies for the airline industry," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 2(3), pages 239-255.
    • Handle: RePEc:ids:ijemre:v:2:y:2009:i:3:p:239-255
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    Cited by:

    1. Kamakura, Wagner A. & Moon, Sangkil, 2009. "Quality-adjusted price comparison of non-homogeneous products across Internet retailers," International Journal of Research in Marketing, Elsevier, vol. 26(3), pages 189-196.

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