A dynamic approach to frequent flyer program

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dc.contributor.authorVeeraraghavan, R.
dc.contributor.authorKashyap, R.
dc.contributor.authorChopde, A.
dc.contributor.authorBhattacharya, S.
dc.date.accessioned2026-02-06T06:39:53Z
dc.date.issued2014
dc.description.abstractThe frequent flyer algorithms adopted are static in nature, that is the points awarded to a frequent flyer is proportional only to the miles traveled. In static approach, there is neither an incentive for the frequent flyer to travel more (increase profitability) nor does it ensure customer satisfaction. In this paper, we propose a dynamic approach that considers time varying factors such as competition from rival airliners, number of travels made so far, load factor etc and prove that it can not only improve profitability but at the same time ensure customer satisfaction. © 2014 Springer International Publishing Switzerland.
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, Vol.8402 LNCS, , p. 271-279
dc.identifier.issn3029743
dc.identifier.urihttps://doi.org/10.1007/978-3-319-06089-7_19
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/32579
dc.publisherSpringer Verlag service@springer.de
dc.subjectcustomer satisfaction
dc.subjectdynamic approach
dc.subjectfrequent flyer
dc.subjectload factor
dc.subjectpeak seasons
dc.subjectprofitability
dc.subjectrival airlines
dc.subjectstatic algorithm
dc.titleA dynamic approach to frequent flyer program

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