EFFICIENCY ANALYSIS OF AIRLINES USING DEA MODEL
Aleksandra Marcikic Horvat, Assistant Professor
University of Novi Sad, Faculty of Economics Subotica, Segedinski put 9-11, 24000 Subotica, Serbia
Kristina Budimcevic, PhD
Etihad Airways, Khalifa City A,P.O. Box 35566, Abu Dhabi, UAE
DOI: https://doi.org/10.31410/tmt.2018.221
Aleksandra Marcikic Horvat, Assistant Professor
University of Novi Sad, Faculty of Economics Subotica, Segedinski put 9-11, 24000 Subotica, Serbia
Kristina Budimcevic, PhD
Etihad Airways, Khalifa City A,P.O. Box 35566, Abu Dhabi, UAE
DOI: https://doi.org/10.31410/tmt.2018.221
3rd International Thematic Monograph - Thematic Proceedings: Modern Management Tools and Economy of Tourism Sector in Present Era, Belgrade, 2018, Published by: Association of Economists and Managers of the Balkans in cooperation with the Faculty of Tourism and Hospitality, Ohrid, Macedonia; ISBN 978-86-80194-14-1; Editors: Vuk Bevanda, associate professor, Faculty of Business Studies, Megatrend University, Belgrade, Serbia; Snežana Štetić, full time professor, The College of Tourism, Belgrade, Serbia
Abstract: Due to deregulation and dynamic development of the air transport in the recent decades, the concept of performance evaluation and efficiency measurement has been given an increasing attention. The main goal of this paper is to use Data Envelopment Analysis to compare the efficiency of nine airlines using multiple inputs and outputs. The results of the analysis showed that Croatian Airlines, Lufthansa, Singapore Airlines and Emirates Airlines have the best ratio of the selected inputs and outputs and thus they are achieving maximum efficiency compared to the other airlines included in the analysis.
Keywords: Data Envelopment Analysis, Efficiency Analysis, Airlines
REFERENCES
[1] Zajac G. (2016). The Role of Air Transport in the Development of International Tourism.
Journal of International Trade, Logistics and Law. Vol. 2 (1). pp. 1-8.
[2] Bieger. T. Wittmer. A. (2006). Air transport and tourism –Perspectives and challenges for
destinations, airlines and governments. Journal of Air Transport Management. Vol. 12.
pp. 40 –46.
[3] Dimitrou D. (2018) Comparative evaluation of airports productivity towards tourism
development, Cogent Business & Management, Vol. 5.
[4] Banker. R. D. Cummins. D. Klumpes. P. (2010) Performance Measurement in the Financial
Services Sector. Journal of Banking & Finance. Vol. 34 (7). pp. 1413-1728.
[5] Charnes. A. Cooper. W. W. Rhodes E. (1978) Measuring the efficiency of decision-making
units. European Journal of Operational Research. Vol. 2 (6). pp. 429–444.
[6] Paradi. J. C. Schaffnit. C. (2004) Commercial branch performance evaluation and
results communication in a Canadian bank–– a DEA application. European Journal of
Operational Research. Vol. 156 (3). pp. 719-735.
[7] Asaftei. G. Kumbhakar. C. S. (2008) Regulation and efficiency in transition: the case of
Romanian banks. Journal of Regulatory Economics. Vol. 33. pp. 253-282.
[8] Kennedy. J. Smith. A.S.J. (2004) Assessing the efficient cost of sustaining Britain’s rail
230 network – perspectives based on zonal comparisons. Journal of Transport Economics and
Policy. Vol. 38 (1). pp. 17-23.
[9] Odeck. J. Alkadi. A. (2004) The performance of subsidized urban and rural public bus
operators: Empirical evidence from Norway. Annals of Regional Science. Vol. 38 (3). pp.
413-431.
[10] Tsaur. S.H. Chang. T.Y. Yen. C.H. (2002) The evaluation of airline service quality by fuzzy
MCDM. Tourism Management. Vol. 23. pp. 107-115.
[11] Erdogan. D. Ergun. K. (2014) Understanding Performance Indicators of Organizational
Achievement in Turkish Airline Companies. Journal of Management Research. Vol. 6 (4).
pp. 109-123.
[12] Schefczyk. M. (1993) Operational performance of airlines: an extension of traditional
measurement paradigms. Strategic Management Journal. 14. pp. 301-317.
[13] Yayla-Kullu. H.M. Tansitpong. P. (2013) A Critical Evaluation of U.S. Airlines’ Service
Quality Performance: Lower Costs vs. Satisfied Customers. Journal of Management and
Strategy. Vol. 4 (4). pp. 1-15.
[14] Fethi. M. Jackson. P. Weyman-Jones. T. (2000) Measuring the Efficiency of European
Airlines: An Application of DEA and Tobit Analysis. Leicester. University of Leicester
Efficiency and Productivity Research Unit.
[15] Rubem. A. Soares De Mello. J. Angulomeza. L. Gomes Jr. S. (2017) An Analysis of Airlines
Efficiency Using a DEA Model and Dynamic Clusters. Revista Espacios. Vol. 38 (37). pp.
17-29.
[16] Arjomandi. A.. Seufert. J. (2014) An evaluation of the world’s major airlines’ technical and
environmental performance. Economic Modelling. Vol. 41. pp. 133-144.
[17] Yu. M.M. (2004) Measuring physical efficiency of domestic airports in Taiwan with
undesirable outputs and environmental factors. Journal of Air Transport Management.
Vol. 10 (5). pp. 295–303.
[18] Oum. T.H. Yu. C. (1999) Winning airlines: productivity and cost competitiveness of the
world’s major airlines. Boston: Kluwer Academic.
[19] Аl-Sayeh. K. (2014) The Rise of the Emerging Middle East Carriers: Outlook and
Implications for the Global Airline Industry. Massachusetts Institute of Technology.
[20] Giarini. O. (1990) Introduction: The Opportunities of the Four Pillars’ Strategy. Geneva
Papers on Risk and Insurance. Issues and Practice. pp. 95-99.
[21] Gursoy. D. Chen. M.H. Kim. H.J. (2005) The US airlines relative positioning based on
attributes of service quality. Journal of Tourism Management. Vol. 26. pp. 57-67.
[22] Mazanec. J.A. (1995) Positioning with self-organizing maps: an exploratory study on
luxury hotels. The Cornell Hotel and Restaurant Administration Quarterly. Vol. 36 (6). pp.
80-95.
[23] Butler. G.F. Keller. M.R. (1992) The cost-constrained global airline industry environment:
what is quality? Transportation Quarterly. Vol. 46 (4). pp. 599-618.
[24] Weber. K. (2005) Travelers` perceptions of airline alliance benefits and performance.
Journal of Travel Research. Vol. 43(3). pp. 257-265.
[25] Mimović. P. Кrstić. А. (2016) Integrisana primena metoda analitičkog hijerarhijskog
procesa i analize obavijanja podataka u vrednovanju performansi visokog obrazovanja u
Republici Srbiji. Еkonomski horizonti. Vol. 18 (1). pp. 71-85.
[26] http://opensourcedea.org (10.11.2018.)
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