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What colour are you? Smartphone addiction traffic lights and user profiles

What colour are you? Smartphone addiction traffic lights and user profiles 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/approachFirst, 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.FindingsThe proposed traffic lights schema identifies three users’ profiles (red, yellow and green) regarding their smartphone addiction and considering individual and microsystem critical variables.Originality/valueThis study proposes a practical and pioneer traffic lights schema to classify smartphone users and facilitate each cluster's strategies development. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Journal of Management and Business Economics Emerald Publishing

What colour are you? Smartphone addiction traffic lights and user profiles

What colour are you? Smartphone addiction traffic lights and user profiles

European Journal of Management and Business Economics , Volume 32 (2): 19 – May 12, 2023

Abstract

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/approachFirst, 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.FindingsThe proposed traffic lights schema identifies three users’ profiles (red, yellow and green) regarding their smartphone addiction and considering individual and microsystem critical variables.Originality/valueThis study proposes a practical and pioneer traffic lights schema to classify smartphone users and facilitate each cluster's strategies development.

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References (82)

Publisher
Emerald Publishing
Copyright
© Sonia San-Martín and Nadia Jiménez
ISSN
2444-8451
DOI
10.1108/ejmbe-02-2021-0069
Publisher site
See Article on Publisher Site

Abstract

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/approachFirst, 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.FindingsThe proposed traffic lights schema identifies three users’ profiles (red, yellow and green) regarding their smartphone addiction and considering individual and microsystem critical variables.Originality/valueThis study proposes a practical and pioneer traffic lights schema to classify smartphone users and facilitate each cluster's strategies development.

Journal

European Journal of Management and Business EconomicsEmerald Publishing

Published: May 12, 2023

Keywords: Smartphone addiction; Compulsive app downloading; Phubbing; Family harmony; Boredom proneness; Profiles; Cluster

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