Abstract Understanding airline employee job satisfaction is critical for airlines to formulate effective strategies to improve it. However, little research has been done on this. To gain a deeper understanding, 53,718 items of employee-generated data from 225 airlines collected from Glassdoor are analyzed. The results show that: (1) Work–life balance, crew privileges, culture and values, compensation and benefits, working pressure/intensity, diversity and inclusion, and career opportunities are the antecedents of employee satisfaction, while work hours, crew scheduling, senior management, workplace unfairness, career opportunities, and compensation and benefits are the antecedents of employee dissatisfaction; (2) The key topics extracted from employees’ online reviews do not necessarily significantly affect employee satisfaction; (3) Employment status significantly moderates the impact of factors represented by these key topics on employee satisfaction. While length of employment significantly moderates the impact of key topics extracted from negative comments on employee satisfaction, it does not show a significant moderation effect on key topics extracted from positive comments regarding employee satisfaction. The conclusions of this study can provide valuable references and suggestions for airline human resource management.

    Highlights The antecedents of airline employee satisfaction and dissatisfaction are determined. The topic in reviews do not necessarily significantly affect employee satisfaction. Employment status moderates the effect of key topics on employee satisfaction. Length of employment moderates the effect of key topics on employee satisfaction.


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    Title :

    Exploring the antecedents of airline employee job satisfaction and dissatisfaction through employee-generated data


    Contributors:
    Han, Tian-Yu (author) / Bi, Jian-Wu (author) / Yao, Yanbo (author)


    Publication date :

    2024-01-28




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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