All Issue

2021 Vol.39, Issue 5 Preview Page

Article

31 October 2021. pp. 619-630
Abstract
References
1
Ahn Y. H., Ma R. (2012), Efficiency Comparison of the World’s Major Airlines Using Data Envelopment Analysis, Logistics Study, 20(2), 107-126. 10.15735/kls.2012.20.2.008
2
Akazili J., Adjuik M., Jehu-Appiah C., Zere E. (2008), Using Data Envelopment Analysis to Measure the Extent of Technical Efficiency of Public Health Centres in Ghanak, BMC International Health and Human Rights, 8(1), 11. 10.1186/1472-698X-8-1119021906PMC2605432
3
Capobianco H. M. P., Fernandes E. (2004), Capital Structure in the World Airline Industry, Transportation Research Part A, 38(6), 421-434. 10.1016/j.tra.2004.03.002
4
Charnes A., Cooper W. W., Rhodes E. (1978), Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2(6), 429-444. 10.1016/0377-2217(78)90138-8
5
Cho J. M. (2011), Efficiency Analysis of Asian Airlines Using the DEA Model, Master’s Thesis, Incheon National University.
6
Gong Z., Kim T. S. (2015), Comparative Analysis of Operational Efficiency of Major Airlines in Asia-Pacific Region, Journal of International Logistics and Trade, 13(1), 3-30. 10.24006/jilt.2015.13.1.3
7
Good D. H., Nadiri M. I., Röller L. H., Sickles R. C. (1993), Efficiency and Productivity Growth Comparisons of European and US Air Carriers: A First Look at the Data, Journal of Productivity Analysis, 4(1-2), 115-125. 10.1007/BF01073469
8
Hong S. (2004), A Study on Air Cargo Sector and Airline Efficiency, Journal of the Korean Transportation Association, 22(3), 17-26.
9
Kim S. H., Choi T. S., Lee D. W. (2007), Efficiency Analysis Theory and Application, Seoul Economic Management Publishing House.
10
Kwon Y. H., Choi D. G. (2011), Comparative Analysis of the Efficiency of Low-Cost Airlines and Large Airlines Using DEA, Korea Business Review 4(2), 59-79.
11
Lee J., Oh D. (2012), Efficiency Analysis Theory DEA Data Envelope Analysis, Paperback Media Publishing Company.
12
Merkert R., Hensher D. A. (2011), The Impact of Strategic Management and Fleet Planning on Airline Efficiency: A Random Effects Tobit Model Based on DEA Efficiency Scores, Transportation Research Part A, Policy and Practice, 45(7), 686-695. 10.1016/j.tra.2011.04.015
13
Nam S., Son M., Shin H. (2016), A Study on the Management Efficiency of Domestic Low-Cost Airline Using the DEA Technique, Hotel Tourism Research 18(2), 345-358.
14
Oum T. H., Yu C. (1995), A Productivity Comparison of the World’s Major Airlines, Journal of Air Transport Management, 2(3-4), 181-195. 10.1016/0969-6997(96)00007-5
15
Scheraga C. A. (2004), Operational Efficiency Versus Financial Mobility in the Global Airline Industry: A Data Envelopment and Tobit Analysis, Transportation Research Part A, Policy and Practice, 38(5), 383-404. 10.1016/j.tra.2003.12.003
16
Shi H. (2018), A Study on the Operational Efficiency of Large Airlines in China and Korea, Master’s thesis, Kyunghee University.
17
Thanassoulis E. (1993), A Comparison of Regression Analysis and Data Envelopment Analysis as Alternative Methods for Performance Assessments, Journal of the Operational Research Society, 44(11), 1129-1144. 10.1057/jors.1993.185
18
Um K., Kim Y., Kim M. (2009), A Study on Airline Efficiency Evaluation by Quality Adjusted Output DEA Model, Conference of the Korean Society of Service Management, 69-90.
19
Wu Y., He C., Cao X. (2013), The Impact of Environmental Variables on the Efficiency of Chinese and Other Non-Chinese Airlines, Journal of Air Transport Management, 29, 35-38. 10.1016/j.jairtraman.2013.02.004
Information
  • Publisher :Korean Society of Transportation
  • Publisher(Ko) :대한교통학회
  • Journal Title :Journal of Korean Society of Transportation
  • Journal Title(Ko) :대한교통학회지
  • Volume : 39
  • No :5
  • Pages :619-630
  • Received Date : 2021-09-10
  • Revised Date : 2021-09-23
  • Accepted Date : 2021-10-15