Examining customer perception and behaviour through social media research – An empirical study of the United Airlines overbooking crisis

Jie Ma, Ying Kei Tse, Xiaojun Wang, Minhao Zhang

    Research output: Contribution to journalArticlepeer-review

    43 Citations (Scopus)
    115 Downloads (Pure)

    Abstract

    Airlines have been adopting yield management to optimise the perishable seat control problem and overbooking is a common strategy. This study outlines the connections between yield management, crises, and crisis communication. Using big data captured on a social media platform, this study aims to combine traditional yield management with emerging social big data analytics. As part of this, we use the twitter data on the 2017 United Airline (UA) to analyse the overbooking crisis. Our findings shed light on the importance of a more effective orchestration of yield management to avoid the escalation of crises during crisis communication phases.

    Original languageEnglish
    Pages (from-to)192-205
    Number of pages14
    JournalTransportation Research, Part E: Logistics and Transportation Review
    Volume127
    Early online date25 May 2019
    DOIs
    Publication statusPublished - 1 Jul 2019

    Keywords

    • Crisis communication Twitter mining
    • Customer behaviour
    • Image repair
    • Social media big data

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