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<dc:title>What colour are you? Smartphone addiction traffic lights and user profiles</dc:title>
<dc:creator>San Martín Gutiérrez, Sonia</dc:creator>
<dc:creator>Jiménez Torres, Nadia Huitzilin</dc:creator>
<dc:subject>Smartphone addiction</dc:subject>
<dc:subject>Compulsive app downloading</dc:subject>
<dc:subject>Phubbing</dc:subject>
<dc:subject>Family harmony</dc:subject>
<dc:subject>Boredom proneness</dc:subject>
<dc:subject>Profiles</dc:subject>
<dc:subject>Cluster</dc:subject>
<dc:subject>Consumidores-Conducta</dc:subject>
<dc:subject>Consumer behavior</dc:subject>
<dc:subject>Smartphones</dc:subject>
<dc:description>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.&#xd;
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.&#xd;
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.&#xd;
Originality/value: This study proposes a practical and pioneer traffic lights schema to classify smartphone users and facilitate each cluster's strategies development.</dc:description>
<dc:description>The authors are grateful to funding by the European Comission, under an Erasmus + project with reference 2019-1-ES01-KA201-064250.</dc:description>
<dc:date>2024-11-13T11:08:03Z</dc:date>
<dc:date>2024-11-13T11:08:03Z</dc:date>
<dc:date>2023-05</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:identifier>2444-8451</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/9694</dc:identifier>
<dc:identifier>10.1108/EJMBE-02-2021-0069</dc:identifier>
<dc:identifier>2444-8494</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>European Jorunal of Management and Business Economics. 2023, V. 32, n. 2, p. 149-167</dc:relation>
<dc:relation>https://doi.org/10.1108/EJMBE-02-2021-0069</dc:relation>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:format>application/pdf</dc:format>
<dc:publisher>Emerald</dc:publisher>
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