Determinants of ancillary revenue strategies and passenger willingness to pay: Evidence from the airline industry

dc.collaborationInternational Collaboration
dc.contributor.authorŞahin, Merve
dc.contributor.authorSüsleyici, Kahraman
dc.contributor.authorZaim, Selim
dc.contributor.authorHarcar, Talha
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2026-10-14T12:08:37Z
dc.date.issued2025
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description.abstractThe airline industry faces persistent profitability pressure stemming from high fixed costs, intense competition, and macroeconomic volatility. Since the entry of low-cost carriers (LCCs), ancillary revenue—defined as income generated from services and products supplementary to the core ticket— has evolved from a peripheral activity into a strategic financial pillar for both full-service and lowcost airlines. This study investigates the determinants of passenger willingness to pay (WTP) for à la carte ancillary services and identifies behavioural and demographic profiles that predict purchase frequency. Using a survey of 254 air travellers and a multi-method statistical approach (Chi-square tests, Mann–Whitney U tests, and Kruskal–Wallis with Bonferroni-corrected pairwise comparisons), six hypotheses are tested. The results demonstrate that (i) passengers familiar with à la carte services allocate significantly larger travel budgets to such services (p < .05); (ii) frequent travellers (>5 flights/year) are significantly more likely to purchase à la carte services (χ² = 8.44, p < .01); (iii) frequent-flyer programme (FFP) members purchase ancillary services at substantially higher rates (χ² = 9.70, p < .01); and (iv) contrary to common managerial intuition, short-haul passengers purchase à la carte services more frequently than long-haul passengers (χ² = 4.51, p < .05). Wi-Fi access is valued across all age cohorts without statistically significant differences. The findings extend the revenue management literature by empirically validating familiarity and loyalty-programme membership as the strongest behavioural predictors of à la carte WTP, and offer actionable guidance for targeted personalisation, segmentation, and dynamic pricing strategies. Implications for machine-learningdriven ancillary recommendation systems are also discussed in light of recent advances in offer management (2022–2025).
dc.identifier.citationŞahin, M., Süsleyici, K., Zaim, S., & Harcar, T. (2025). Determinants of ancillary revenue strategies and passenger willingness to pay: Evidence from the airline industry. Bussecon Review of Social Sciences, 7(2), 1-12. http://doi.org/10.36096/yfgcqz22
dc.identifier.doi10.36096/yfgcqz22
dc.identifier.endpage12
dc.identifier.issn2687- 2285
dc.identifier.issue2
dc.identifier.orcid0009-0007-4537-4734
dc.identifier.orcid0000-0003-3540-2264
dc.identifier.startpage1
dc.identifier.urihttp://doi.org/10.36096/yfgcqz22
dc.identifier.urihttps://hdl.handle.net/20.500.12154/4150
dc.identifier.volume7
dc.institutionauthorŞahin, Merve
dc.institutionauthorZaim, Selim
dc.institutionauthorid0009-0007-4537-4734
dc.institutionauthorid0000-0003-3540-2264
dc.language.isoen
dc.publisherBusssecon International Academy
dc.relation.ispartofBussecon Review of Social Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgN/A
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAncillary Revenue
dc.subjectÀ La Carte Pricing
dc.subjectWillingness to Pay (WTP)
dc.subjectPassenger Behaviour
dc.subjectAncillary Recommendation Systems
dc.titleDeterminants of ancillary revenue strategies and passenger willingness to pay: Evidence from the airline industry
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublicationab60daa0-c3fc-4cf3-a23e-c6252b875e26
relation.isAuthorOfPublicatione854a5d5-11a9-4148-a1aa-863a4c13eeb5
relation.isAuthorOfPublication.latestForDiscoveryab60daa0-c3fc-4cf3-a23e-c6252b875e26
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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