ДИНАМИЧКИ МОДЕЛ МЕРЕЊА ПЕРФОРМАНСИ БЛИСКОИСТОЧНИХ АВИО-КОМПАНИЈА
DOI:
https://doi.org/10.22190/TEME190313005MKljučne reči:
вишекритеријумска анализа, евалуација перформанси, ефикасност авио-компанијa Блиског истока, DEAApstrakt
Последњих деценија дошло je до наглог развоја авио-индустрије на Блиском истоку, првенствено у Уједињеним Арапским Емиратима. Потреба за развојем авио-сектора јавила се услед стратешки важног положаја који Блиски исток заузима као средишња тачка између источне и западне хемисфере. Велике авио-компаније, попут Emirates, Etihad и Qatar Airways, постале су доминантне на својим локалним и међународним тржиштима, првенствено захваљујући квалитету услужне понуде и глобално препознатљивом бренду. У оквиру емпиријског истраживања нагласак је на оцени ефикасности поменутих авио-компанија, имајући у виду њихове нефинансијске индикаторе пословања као што су: број путника, број дестинација, количина превезеног терета итд. Анализа разматра период од дванаест година, конкретније од 2005. до 2016. године, који карактерише експанзиван развој све три авио-компаније. За сваку посматрану компанију, ефикасност је најпре посебно мерена применом методе Анализе обавијања података (DEA), након чега је примењена динамичка анализа и мерење њихових ефикасности применом DEA Window анализе. У оба случаја, најбоље перформансе показала је компанија Emirates Airlines.
Reference
Аl-Sayeh, K. (2014). The Rise of the Emerging Middle East Carriers: Outlook and Implications for the Global Airline Industry, Massachusetts Institute of Technology, http://hdl.handle.net/1721.1/89852
Asaftei, G., Kumbhakar, C. S. (2008). Regulation and efficiency in transition: the case of Romanian banks, Journal of Regulatory Economics, 33, 253-282, https://doi.org/10.1007/s11149-007-9041-0
Baker, D. A. (2013). Service Quality and Customer Satisfaction in the Airline Industry: A Comparison between Legacy Airlines and Low-Cost Airlines, American Journal of Tourism Research, 2(1), 67-77, https://doi.org/10.11634/216837861403317
Banker, R., Cummins, D., Klumpes, P. (2010). Performance Measurement in the Financial Services Sector, Journal of Banking & Finance, 34 (7), 1413-1728, https://doi.org/10.1016/j.jbankfin.2010.02.024
Barbot, C., Costa, A., Sochirca, E. (2008). Airlines performance in the new market context: A comparative productivity and efficiency analysis, Journal of Air Transport Management, 14 (5), 270-274, https://doi.org/10.1016/j.jairtraman.2008.05.003
Barros, C. P, Peypoch, N. (2009). An evaluation of European airlines' operational performance, International Journal of Production Economics, 122, 525–533, https://doi.org/10.1016/j.ijpe.2009.04.016
Charnes, A., Cooper, W.W., Rhodes, E. (1978). Measuring the efficiency of decision making units, European Journal of Operational Research, 2(6), 429-444, https://doi.org/10.1016/0377-2217(78)90138-8
Coli, M., Nissi, E., Rapposelli, A. (2011). Efficiency Evaluation in an Airline Company: Some Empirical Results, Journal of Applied Sciences, 11 (4), 737-742, DOI: 10.3923/jas.2011.737.742
Cook W.D., Seiford L.M. (2009). Data Envelopment Analysis (DEA) – Thirty Years On // – Thirty Years On, European Journal of Operational Research, 192(1), 1–17, https://doi.org/10.1016/j.ejor.2008.01.032
Cooper, W.W., Seiford, L.M., Tone, K. (2007). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEÀ-Solver Software, 2nd ed., New York, Springer, DOI: 10.1007/978-0-387-45283-8.
Cooper, W. - Seiford, L. - Zhu, J. (2011): Handbook on Data Envelopment Analysis.Springer Science+Business Media, New York.
Dyson, R.G., Allen, R., Camanho, A.S., Podinovski, V.V., Sarrico, C.S., Shale, E.A. (2001). Pitfalls and protocols in DEA, European Journal of Operational Research 132, 245-259, https://doi.org/10.1016/S0377-2217(00)00149-1
Fethi, M. D., Jackson, P., Weyman-Jones, T. G. (2000). Measuring the efficiency of European airlines: an application of DEA and Tobit Analysis, EPRU Discussion Papers, http://hdl.handle.net/2381/370
Grafton, J., Lillis, M. A., Widener, K. S. (2010). The role of performance measurement and evaluation in building organizational capabilities and performance, Accounting, Organizations and Society, 35, 689-706, https://doi.org/10.1016/j.aos.2010.07.004
Groen, B. A. C., Wouters, M. J. F., Wilderom, C. P. M. (2012). Why do employees take more initiatives to improve their performance after co-developing performance measures? A Field study, Management Accounting Research, 23, 120-141, https://doi.org/10.1016/j.mar.2012.01.001
Han, S., Ham, S. S., Yang, I., Baek, S. (2012). Passengers’ perceptions of airline lounge: Importance of attributes that determine usage and service quality measurement, Tourism Management, 33(5), 1103-1111, https://doi.org/10.1016/j.tourman.2011.11.023
Jia, T. - Yuan, H. (2017): The application of DEA (Data Envelopment Analysis) window analysis in the assessment of influence on operational efficiencies after the establishment of branched hospitals. BMC Health Services Research,17:2-8, DOI:10.1186/s12913-017-2203-6
Kennedy, J., Smith, A.S.J. (2004). Assessing the efficient cost of sustaining Britain’s rail network – perspectives based on zonal comparisons, Journal of Transport Economics and Policy, 38(1), 17-23, www.jstor.org/stable/20173052.
Kutlar, A. - Kabasakal, A. - Babacan, A. (2015): Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for Period of 2003-2012. Sosyoekonomi, 23(24): 71-97.
Martić, M., Savić, G. (2001). An application of DEA for comparative analysis and ranking of regions in Serbia with regards to social-economic development, EJOR, 129 (3), 344-355, https://doi.org/10.1016/S0377-2217(00)00156-9
Masarrat, G., Jha, S. (2014). Assessing Customer Perception of Service Quality: Comparative Study of Airlines in UAE, World Review of Business Research, 4(2), 291-303.
Mimović, P., Krstić, A. (2016). The Integrated application of the AHP and DEA methods in evaluating the performances of higher education institutions in the Republic of Serbia, Economic horizons, 18 (1), 71-85, DOI:10.5937/ekonhor1601071M
Odeck, J., Alkadi, A. (2004). The performance of subsidized urban and rural public bus operators: Empirical evidence from Norway, Annals of Regional Science, 38(3), 413-431, https://doi.org/10.1007/s00168-003-0152-y
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, 156(39), 719-735, https://doi.org/10.1016/S0377-2217(03)00108-5
Sarkis, J. (2002). Preparing Your Data for DEA, Chapter 4 in Avkiran N.: Productivity Analysis in the Service Sector with Data Envelopment Analysis, 2nd edition, N K Avkiran, UQ Business School, The University of Queensland, Australia.
Sherman, H. D., Zhu, J. (2006). Service Productivity Management: Improving Service Performance Using Data Envelopment Analysis (DEA), Springer Science & Business Media: Boston, MA, USA, DOI: 10.1007/0-387-33231-6
Singh, A. K. (2011). Performance Evaluation of Indian Airline Industry: An Application of DEA, Asia-Pacific Business Review, 7(2), 92-103, https://doi.org/10.1177/097324701100700209
Surovitskikh, S., Lubbe, B. (2008). Positioning of selected Middle Eastern airlines in the South African business and leisure travel environment, Journal of Air Transport Management, 14(2), 75-81, https://doi.org/10.1016/j.jairtraman.2007.12.001
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, https://doi.org/10.1016/j.tra.2003.12.003
Tsaur, S.H., Chang, T.Y., Yen, C.H (2002). The evaluation of airline service quality by fuzzy MCDM, Tourism Management, 23, 107-115, https://doi.org/10.1016/S0261-5177(01)00050-4
Tung, A., Baird, K., Schoch, P. H. (2011). Factors influencing the effectiveness of performance measurement systems, International Journal of Operations & Production Management, 31(12), 1287-1310, https://doi.org/10.1108/01443571111187457
Wang, K. - Shiwei, Y. - Zhang, W. (2013): China’s regional energy and environmental efficiency: A DEA window analysis based dynamic. Mathematical and Computer Modelling, 58:1117-1127, https://doi.org/10.1016/j.mcm.2011.11.067
Yang, H. - Chang, C. (2009): Using DEA window analysis to measure efficiencies of Taiwan’s integrated telecommunication firms. Telecommunication Policy, 33:98 – 108, https://doi.org/10.1016/j.telpol.2008.11.001
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, 4(4), 1-11, https://doi.org/10.5430/jms.v4n4p1
