Benchmarking for Indian Airlines Industry in Contemporary Market Scenario

N.Thamarai Selvan

Authors

N.Thamarai Selvan

Keywords:

benchmarking, two stage DEA, super efficiency model, indian airlines industry

Abstract

The purpose of the study is to analyse the performance of Indian air transport operators using key parameters and to benchmark production, marketing and overall efficiencies that can eventually guide top management in tackling present contemporary challenges prevailing in the Indian aviation market and also to provide insights in strategic decision making process. Design/Methodology/Approach: This study applies two stage Data Envelopment Analysis (DEA) to evaluate the production and marketing and overall efficiency. Super-Efficient DEA model is used to calculate the efficiency scores and to rank the airlines. Eight Key performance indicators of production and marketing efficiencies are analysed from the year 2010 to 2014 to study the market dynamics.

Downloads

How to Cite

Benchmarking for Indian Airlines Industry in Contemporary Market Scenario. (2017). Global Journal of Management and Business Research, 16(A12), 1-11. https://journalofbusiness.org/index.php/GJMBR/article/view/2099

Download Citation

References

Per Andersen, Niels Petersen (1993) A Procedure for Ranking Efficient Units in Data Envelopment Analysis. 39(10), 1261-1264.

Atul Rai (2013) Measurement of efficiency in the airline industry using data envelopment analysis. 10(1).

Georgios Zekos (2022) AAI National Authority Management Arbitration. 181-199.

L Boon, Andrew Lee, Worthington (2010) The Relative Efficiency of International, Domestic, and Budget Airlines: Nonparametric Evidence. 24, 93.

Bruno Yawe (2010) Hospital Performance Evaluation in Uganda: A Super-Efficiency Data Envelope Analysis Model. 1(1).

(1994) Data Envelopment Analysis: Theory, Methodology and Applications.

Y Chen, J Zhu (2004) Measuring information technology's indirect impact on firm performance. 5(1-2), 9-22.

Domenico Campisi, Roberta Costa, Paolo Mancuso (2010) The Effects of Low Cost Airlines Growth in Italy. 01(02), 59-67.

Fang-Yuan Chen, Yu-Hern Chang (2005) Examining airline service quality from a process perspective. 11(2), 79-87.

R Fare, G Whittaker (1995) An intermediate input model of dairy production using complex survey data. 46(2), 201-213.

A Assaf, Alexander Josiassen (2009) The operational performance of UK airlines: 2002‐2007. 38(1), 5-16.

David Good, Lars-Hendrik Röller, Robin Sickles (1995) Airline efficiency differences between Europe and the US: Implications for the pace of EC integration and domestic regulation. 80(3), 508-518.

Haanappel Peter Pc (2009) International Air Transport Association (IATA).

(2015) Spinach to make dye-removing graphene.

P Michaelides, A Belegri-Roboli, M Karlaftis, Marinos (2009) T. International Air Transportation Carriers: Evidence from SFA and DEA Technical Efficiency Results (1991-2000. 9(4), 347-362.

Michael Schefczyk (1993) Operational performance of airlines: An extension of traditional measurement paradigms. 14(4), 301-317.

Lawrence Seiford, Robert Thrall (1990) Recent developments in DEA. 46(1-2), 7-38.

K Tone, M Tsutsui (2009) Network DEA: a slacksbased measure approach. 197(1), 243-252.

Wen-Min Lu, Wei-Kang Wang, Shiu-Wan Hung, En-Tzu Lu (2012) The effects of corporate governance on airline performance: Production and marketing efficiency perspectives. 48(2), 529-544.