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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/9694

    Título
    What colour are you? Smartphone addiction traffic lights and user profiles
    Autor
    San Martín Gutiérrez, SoniaAutoridad UBU Orcid
    Jiménez Torres, Nadia HuitzilinAutoridad UBU Orcid
    Publicado en
    European Jorunal of Management and Business Economics. 2023, V. 32, n. 2, p. 149-167
    Editorial
    Emerald
    Fecha de publicación
    2023-05
    ISSN
    2444-8451
    DOI
    10.1108/EJMBE-02-2021-0069
    Résumé
    Purpose: The key concern nowadays is smartphone addiction and user profiles. Following the risk and protective factors framework, the authors aim to characterize smartphone users according to two levels: (1) individual: referred to the use (i.e. boredom proneness, compulsive app downloading smartphone addiction) and (2) microsystem: referred to family and peers (i.e. family harmony and phubbing). Besides, the authors will derive useful managerial implications and strategies. Design/methodology/approach: First, an extensive literature revision and in-depth interviews with experts were employed to identify the addiction-related variables at the individual and microsystem level. Second, information was collected from a sample of 275 Spanish smartphone users, and a K-means clustering algorithm was employed to classify smartphone users. Findings: The proposed traffic lights schema identifies three users’ profiles (red, yellow and green) regarding their smartphone addiction and considering individual and microsystem critical variables. Originality/value: This study proposes a practical and pioneer traffic lights schema to classify smartphone users and facilitate each cluster's strategies development.
    Palabras clave
    Smartphone addiction
    Compulsive app downloading
    Phubbing
    Family harmony
    Boredom proneness
    Profiles
    Cluster
    Materia
    Consumidores-Conducta
    Consumer behavior
    Smartphones
    URI
    http://hdl.handle.net/10259/9694
    Versión del editor
    https://doi.org/10.1108/EJMBE-02-2021-0069
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    sanmartin-ejmbe-2023.pdf
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