2026-10-12T19:19:40Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/96942024-11-14T01:05:18Zcom_10259_4731com_10259_5086com_10259_2604col_10259_4732

San Martín Gutiérrez, Sonia Jiménez Torres, Nadia Huitzilin Smartphone addiction Compulsive app downloading Phubbing Family harmony Boredom proneness Profiles Cluster 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. 2024-11-13 2024-11-13 2023-05 info:eu-repo/semantics/article 2444-8451 http://hdl.handle.net/10259/9694 10.1108/EJMBE-02-2021-0069 2444-8494 eng European Jorunal of Management and Business Economics. 2023, V. 32, n. 2, p. 149-167 https://doi.org/10.1108/EJMBE-02-2021-0069 http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional Emerald