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Production and Marketing Efficiencies of the U.S. Airline Industry: A Two-Stage Network DEA Approach

In: Data Envelopment Analysis

Author

Listed:
  • Wen-Min Lu

    (National Defense University)

  • Shiu-Wan Hung

    (National Central University)

  • Qian Long Kweh

    (College of Business Management and Accounting, Universiti Tenaga Nasional)

  • Wei-Kang Wang

    (Yuan Ze University)

  • En-Tzu Lu

    (Yuan Ze University)

Abstract

This chapter presents an application of a two-stage network data envelopment analysis (DEA) for examining the performance of 30 U.S. airline companies. The airline industry is a subject of concern because the industry is a major contributor to a country’s or even global economic development. Although a number of studies have explored airline performance using DEA, relatively few studies have applied a two-stage DEA model. The current chapter examines production efficiency and marketing efficiency through an additive two-stage network DEA model. This approach allows the black-box of the performance measurement process to be assessed, thus, providing a new direction in measuring airline performance. The chapter includes a managerial decision-making matrix and makes suggestions to help airline managers improve performance for airlines. In addition, a regression analysis of the effect of corporate governance mechanisms on airlines performance is conducted. Given the volatility of growth in the airline industry, it is expected that we will see more research related to performance management in the industry.

Suggested Citation

  • Wen-Min Lu & Shiu-Wan Hung & Qian Long Kweh & Wei-Kang Wang & En-Tzu Lu, 2014. "Production and Marketing Efficiencies of the U.S. Airline Industry: A Two-Stage Network DEA Approach," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 537-568, Springer.
    • Handle: RePEc:spr:isochp:978-1-4899-8068-7_21
    DOI: 10.1007/978-1-4899-8068-7_21
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    Cited by:

    1. Li, Lei & Zhang, Jiayang & An, Xun, 2023. "Using social media for efficient brand marketing: An evaluation of Chinese Universities using Bilibili," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    2. Huangxin Chen & Hang Lin & Wenjie Zou, 2020. "Research on the Regional Differences and Influencing Factors of the Innovation Efficiency of China’s High-Tech Industries: Based on a Shared Inputs Two-Stage Network DEA," Sustainability, MDPI, vol. 12(8), pages 1-15, April.

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