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Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input

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  • Tavassoli, Mohammad
  • Faramarzi, Gholam Reza
  • Farzipoor Saen, Reza

Abstract

The operational performance of airline includes production and consumption technologies for transporting passengers and cargoes. By determining the performance of airlines' operations one can get further insights from the obtained results and can develop appropriate policy for improving the operational performance. This paper, for the first time, proposes a novel slacks-based measure network data envelopment analysis (SBM-NDEA) approach to measure both technical efficiency and service effectiveness of airlines. The proposed model represents both the non-storable feature of transportation service and production technologies in a unified framework in the presence of shared input. Also, the proposed model estimates both technical efficiency and service effectiveness. A case study is presented.

Suggested Citation

  • Tavassoli, Mohammad & Faramarzi, Gholam Reza & Farzipoor Saen, Reza, 2014. "Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 146-153.
    • Handle: RePEc:eee:jaitra:v:34:y:2014:i:c:p:146-153
    DOI: 10.1016/j.jairtraman.2013.09.001
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    1. Lawrence W. Lan & Erwin T. J. Lin, 2006. "Performance Measurement for Railway Transport: Stochastic Distance Functions with Inefficiency and Ineffectiveness Effects," Journal of Transport Economics and Policy, University of Bath, vol. 40(3), pages 383-408, September.
    2. Bazargan, Massoud & Vasigh, Bijan, 2003. "Size versus efficiency: a case study of US commercial airports," Journal of Air Transport Management, Elsevier, vol. 9(3), pages 187-193.
    3. Reza Farzipoor Saen, 2009. "A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restrictions, and nondiscretionary factors," Annals of Operations Research, Springer, vol. 172(1), pages 177-192, November.
    4. Barros, Carlos Pestana & Peypoch, Nicolas, 2009. "An evaluation of European airlines' operational performance," International Journal of Production Economics, Elsevier, vol. 122(2), pages 525-533, December.
    5. Karlaftis, Matthew G., 2004. "A DEA approach for evaluating the efficiency and effectiveness of urban transit systems," European Journal of Operational Research, Elsevier, vol. 152(2), pages 354-364, January.
    6. Zhongsheng Hua & Yiwen Bian, 2008. "Performance measurement for network DEA with undesirable factors," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 9(2), pages 141-153.
    7. Jain, Priyanka & Cullinane, Sharon & Cullinane, Kevin, 2008. "The impact of governance development models on urban rail efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(9), pages 1238-1250, November.
    8. Juan Carlos Martín & Aura Reggiani, 2007. "Recent Methodological Developments to Measure Spatial Interaction: Synthetic Accessibility Indices Applied to High‐speed Train Investments," Transport Reviews, Taylor & Francis Journals, vol. 27(5), pages 551-571, February.
    9. Lee, Chia-Yen & Johnson, Andrew L., 2012. "Two-dimensional efficiency decomposition to measure the demand effect in productivity analysis," European Journal of Operational Research, Elsevier, vol. 216(3), pages 584-593.
    10. Isabelle Huault & V. Perret & S. Charreire-Petit, 2007. "Management," Post-Print halshs-00337676, HAL.
    11. Wanke, Peter F., 2013. "Physical infrastructure and flight consolidation efficiency drivers in Brazilian airports: A two-stage network-DEA approach," Journal of Air Transport Management, Elsevier, vol. 31(C), pages 1-5.
    12. A. George Assaf & Alexander Josiassen, 2011. "The operational performance of UK airlines: 2002‐2007," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 38(1), pages 5-16, January.
    13. Barbot, Cristina & Costa, Ã lvaro & Sochirca, Elena, 2008. "Airlines performance in the new market context: A comparative productivity and efficiency analysis," Journal of Air Transport Management, Elsevier, vol. 14(5), pages 270-274.
    14. Chiou, Yu-Chiun & Chen, Yen-Heng, 2006. "Route-based performance evaluation of Taiwanese domestic airlines using data envelopment analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(2), pages 116-127, March.
    15. Yu, Ming-Miin & Lin, Erwin T.J., 2008. "Efficiency and effectiveness in railway performance using a multi-activity network DEA model," Omega, Elsevier, vol. 36(6), pages 1005-1017, December.
    16. Scheraga, Carl 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, Elsevier, vol. 38(5), pages 383-404, June.
    17. Yu, Ming-Miin, 2010. "Assessment of airport performance using the SBM-NDEA model," Omega, Elsevier, vol. 38(6), pages 440-452, December.
    18. Merkert, Rico & Morrell, Peter S., 2012. "Mergers and acquisitions in aviation – Management and economic perspectives on the size of airlines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 853-862.
    19. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    20. Barros, Carlos Pestana & Couto, Eduardo, 2013. "Productivity analysis of European airlines, 2000–2011," Journal of Air Transport Management, Elsevier, vol. 31(C), pages 11-13.
    21. Cook, Wade D. & Zhu, Joe & Bi, Gongbing & Yang, Feng, 2010. "Network DEA: Additive efficiency decomposition," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1122-1129, December.
    22. Olli‐Pekka Hilmola, 2007. "European railway freight transportation and adaptation to demand decline," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(3), pages 205-225, March.
    23. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    24. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    25. Bhadra, Dipasis, 2009. "Race to the bottom or swimming upstream: Performance analysis of US airlines," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 227-235.
    26. Merkert, Rico & Hensher, David 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, Elsevier, vol. 45(7), pages 686-695, August.
    27. Barros, Carlos P. & Liang, Qi Bin & Peypoch, Nicolas, 2013. "The technical efficiency of US Airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 139-148.
    28. Ming-Miin Yu, 2012. "Performance assessment of transport services with the ERM-NDEA model: evidence from a domestic airline in Taiwan," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(7), pages 697-714, July.
    29. Lu, Wen-Min & Wang, Wei-Kang & Hung, Shiu-Wan & Lu, En-Tzu, 2012. "The effects of corporate governance on airline performance: Production and marketing efficiency perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 529-544.
    30. Greer, Mark R., 2008. "Nothing focuses the mind on productivity quite like the fear of liquidation: Changes in airline productivity in the United States, 2000-2004," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 414-426, February.
    31. Elton Fernandes & Ricardo Pacheco, 2007. "Airport management: a strategic approach," Transportation, Springer, vol. 34(1), pages 129-142, January.
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