Production and marketing efficiencies of the U.S. airline industry: A two-stage network DEA approach
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. Althoug...
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Springer New York LLC
2023
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| _version_ | 1833410751533940736 |
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| author | Lu W.-M. Hung S.-W. Kweh Q.L. Wang W.-K. Lu E.-T. |
| author2 | 25625212800 |
| author_facet | 25625212800 Lu W.-M. Hung S.-W. Kweh Q.L. Wang W.-K. Lu E.-T. |
| author_sort | Lu W.-M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. © Springer Science+Business Media New York 2014. |
| format | Book Chapter |
| id | my.uniten.dspace-21965 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Springer New York LLC |
| record_format | dspace |
| spelling | my.uniten.dspace-219652023-05-16T10:46:20Z Production and marketing efficiencies of the U.S. airline industry: A two-stage network DEA approach Lu W.-M. Hung S.-W. Kweh Q.L. Wang W.-K. Lu E.-T. 25625212800 7201936131 55661469500 23096112500 52564019000 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. © Springer Science+Business Media New York 2014. Final 2023-05-16T02:46:20Z 2023-05-16T02:46:20Z 2014 Book Chapter 10.1007/978-1-4899-8068-7_21 2-s2.0-84955146816 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955146816&doi=10.1007%2f978-1-4899-8068-7_21&partnerID=40&md5=59d85ab7aa9e9df529cc5f20c8163fd5 https://irepository.uniten.edu.my/handle/123456789/21965 208 537 568 Springer New York LLC Scopus |
| spellingShingle | Lu W.-M. Hung S.-W. Kweh Q.L. Wang W.-K. Lu E.-T. Production and marketing efficiencies of the U.S. airline industry: A two-stage network DEA approach |
| title | Production and marketing efficiencies of the U.S. airline industry: A two-stage network DEA approach |
| title_full | Production and marketing efficiencies of the U.S. airline industry: A two-stage network DEA approach |
| title_fullStr | Production and marketing efficiencies of the U.S. airline industry: A two-stage network DEA approach |
| title_full_unstemmed | Production and marketing efficiencies of the U.S. airline industry: A two-stage network DEA approach |
| title_short | Production and marketing efficiencies of the U.S. airline industry: A two-stage network DEA approach |
| title_sort | production and marketing efficiencies of the u.s. airline industry: a two-stage network dea approach |
| url_provider | http://dspace.uniten.edu.my/ |