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Based on the analysis of 2278 online passenger ratings of airports worldwide, this study uses a standard multinomial logit model to determine the likelihood of a passenger being a promoter of an airport when a service attribute has failed, controlling for several passenger and airport characteristics. Results show that failures associated with airport staff and queueing times are most likely to reduce the probability of a passenger being a promoter of an airport. Failures associated with airport shopping and wifi service are least likely to do so. More importantly, the failure of any service attribute in this study significantly reduces the probability of a passenger being a promoter of an airport. This suggests that all parts of the airport value chain are likely to suffer when a service attribute fails. Passenger and airport characteristics included in this study do not add significant explanation to whether a passenger becomes a promoter.
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Stored only when both papers are in the corpus — 85 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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