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Attribute Level Performance Dimensions of Airline Frequent Flyer Program: A Factor Analysis Approach

Attribute Level Performance Dimensions of Airline Frequent Flyer Program: A Factor Analysis Approach

DATE PUBLISHED
Published January 11, 2020
SECTION
Articles

Author Details

Abstract

Airline Loyalty Program also known as Frequent Flyer Programs have become one of the most widely used marketing tools for retaining customers and motivating service usages.  In order to maintain or improve market share and gain profit from operations it is very much essential for the airline operator to retain its loyal customers in the long run. One of the customer retention strategies followed by airlines is the Frequent Flyer Program. This paper aims to explore the underlying dimensions of Frequent Flyer Program based on its attribute level performances perceived by frequent passengers. The underlying dimensions of Frequent Flyer Program are explored through Factor Analysis using Principal Axis Factoring method with direct Oblimin rotation using SPSS.  Two dimensions evolved from this study are Loyalty Program Structure (non travel) specific factors and Loyalty Program Service (travel) specific factors.  There exists an overall statistical validity of the measurement model, established by conducting Confirmatory Factor Analysis using Structural Equation Modeling. Perceived differences in factor dimensions among passengers of different status levels are also compared and drawn implications for the airlines.

Keywords

Frequent Flyer Program; Airline Loyalty; Attribute Level Performance; Factor Analysis; Airline frequent passengers; Structural Equation Modeling.

References

Chin, A.T.H. (2002). Impact of frequent flyer programs on the demand for air travel. Journal of Air Transportation, 7(2), 53-86.

Bentler, P. M. (1980). Multivariate analysis with latent variables: Causal modeling, Annual Review of Psychology, 31: 419–456

Bentler, P. M., and D. G. Bonett. (1980). Significance tests and goodness of fit in the analysis of Covariance structures, Psychological Bulletin, 88: 588–606.

Bhagwanani, R. (2012). Cited in IATA report, Airlines International (August 2012). Special Report on Frequent Flyer Program; titled The Price of Loyalty. Retrieved from http://www.iata.org on November 8th, 2013.

Dolnicar, S., Grabler, K., Grun, B. and Kulnig, A. (2011). Key drivers of airline loyalty, Tourism Management, 32 (5), 1020-1026.

Gudmundsson, S.V., de Boer, E.R., & Lechner, C. (2002). Integrating frequent flyer programs in multilateral airline alliances. Journal of Air Transport Management, 8, 409-417. https://doi.org/10.1016/S0969-6997(02)00043-1

Gudmundsson, S.V., Evert R., de Boer, E.R. (2012). 30 years of frequent flyer programs. Journal of Air Transport Management, 24, 18-24.

Hair, J. F. Jr.; Anderson, R. E.; Tatham, R. L. and Black, W. C. (1996). Multivariate Data Analysis, 4th ed., Engelwood Cliffs, NJ: Prentice-Hall.

Kivetz, R. and Simonson, I. (2002). Earning the right to indulge: Effort as a determinant of customer preference, Journal of Marketing Research, 39(2), 155-170.

Klemperer, P. (1995). Competition when consumers have switching costs, Review of Economic Studies 62, pp. 515-539.

Kutner, Nachtsheim and Neter, J. (2004), Applied Linear Regression Models, 4th edition, McGraw-Hill Irwin.

Lederman, M., 2007, Do enhancements to loyalty programs affect demand? The impact of international frequent flyer partnerships on domestic airline demand, RAND Journal of Economics 38, 1134 -1158.

Uncles, M.D., Dowling, G.R., & Hammond, K. (2003). Customer loyalty and customer loyalty programs. Journal of Consumer Marketing, 20(4), 294 – 316.

https://doi.org/10.1108/07363760310483676

Martín, J.C., Román,C.,& Espino, R. (2011). Evaluating frequent flyer programs from the air passengers’ perspective. Journal of Air Transport Management,17,364. https://doi.org/10.1016/j.jairtraman.2011.02.008

Nunnally, J. C., (1978). Psychometric Theory, New York : McGraw- Hill.

O’Malley, L. (1998). Can loyalty schemes really build loyalty?, Marketing Intelligence and Planning, 16(1), 47-55.

Pappachan, J. and Koshy. M.P. (2015). Influence of Frequent Flyer Programme and Airline Service Quality on Re-buy intentions of Airline Frequent Passengers (PhD Thesis, Cochin University of Science and Technology, Cochin, India).

Proussaloglou, K.E., and Koppelman, F.S. (1995). Air carrier demand: an analysis of market share determinants, Transportation 22, pp. 371–388.

Proussaloglou, K.E., and Koppelman, F.S. (1999). The choice of carrier, flight and fare class, Journal of Air Transport Management 5, pp. 193-201.

Sahoo, D. and Vyas, P. H. (2007). Loyalty Programme Applications in Indian Service Industry, IIM (A), - W.P. No.2007-07-11 July 2007 DOI: 10.1177/0047287504272029 Journal of Travel Research 2005 43: 257

Toh, R.S., Hu, M.Y., & Browne, W.G. (1999). Identifying Characteristics of Airline Frequent-Fliers in Australia: Implications for Market Segmentation, Target Marketing and Product Differentiation. Journal of Air Transportation, 3(2), 17-29.

Venkatraman, N. (1989). Strategic orientation of business enterprises: the construct, dimensionality and measurement, Management Science 35(8): 942- 62.

Vokurka,R.J. and Kelly,O.L. (1998). The Empirical Assessment of Construct Validity, Journal of Operations Management, 16(4), 387-405.

Weber, K. (2005). Travelers' Perceptions of Airline Alliance Benefits and Performance. Journal of Travel Research, 43, 257.

https://doi.org/10.1177/0047287504272029

Wheaton, B. (1977). Assessment of fit in over identified models with latent variables. Sociological Methods and Research, 16: 118–154.

Whitaker, R. (1998). Who’s ready for a cosy threesome? What are the implications of three alliance groups dominating the airline industry? Airline Business, 7.

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