Abstract
This study examines how traveler motivations shape evaluations of two core actors in the air-travel journey, airports and airlines, and consumer review cue diagnosticity, using a mixed-methods analysis of online reviews. We first use text mining to identify the service attributes most salient in passenger narratives and then test whether traveler segments exhibit distinct multivariate profiles across service-quality dimensions and global evaluation outcomes. Drawing on a heuristic-processing perspective, we argue that travelers rely on different diagnostic cues depending on their goals (efficiency, comfort, predictability), and we use SERVQUAL dimensions as an organizing taxonomy to compare evaluation patterns across service contexts. Results indicate that segment differences are statistically reliable but concentrated in specific dimensions and contrasts, with several attributes showing limited variation across segments. These findings clarify which service cues become most diagnostic for different traveler types and provide actionable priorities for airports and airlines seeking to improve passenger experience in a multi-actor journey context.
| Original language | English |
|---|---|
| Article number | 104838 |
| Journal | Journal of Retailing and Consumer Services |
| Volume | 92 |
| DOIs | |
| State | Published - Jun 2026 |
Bibliographical note
Publisher Copyright:© 2026 Elsevier Ltd
Funding
This work is partially funded by EU’s NextGenerationEU instrument through the National Recovery and Resilience Plan of Romania - PNR-III-C9-2022 – I8, managed by the Ministry of Research, Innovation and Digitalization, within the project titled „A Study of Consumer Trust in Online Reviews and Social Media Comments in the Age of Artificial Intelligence”, contract no.760248/28.12.2023, project code CF 158/31.07.2023 and Embry-Riddle Aeronautical University Faculty Research Development Program.
ASJC Scopus Subject Areas
- Marketing
Keywords
- Consumer heuristics
- cue diagnosticity
- Mixed methods
- Multivariate analysis
- Service quality
Disciplines
- Marketing
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