Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender

By A. V. van Deursen, Colin L. Bolle, Sabrina M. Hegner, Piet Kommers. Computers in Human Behavior, 2015

1,045 citations recorded by the source corpus.

Subfields: Education, Literature and Literary Theory, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/155d7a720ccf6d539ea70ea4095a20831713d334

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Citations in the corpus

Analysis of Problematic Smartphone Use Across Different Age Groups within the ‘Components Model of Addiction’ (2019, background): “These findings are in line with the study of Van Deursen et al. (2015) suggesting that age and smartphone use show an inverse relation, so that as individuals get older, the less time they spend using their smartphone for social interaction.”
What type of content are smartphone users addicted to?: SNS vs. games (2016, background): “Some studies examined addiction to various forms of content including information (e.g., news), entertainment (e.g., music, videos), and social (e.g., texting and social networking services) altogether (Bian & Leung, 2015; van Deursen et al., 2015; Rosen, Whaling, Carrier, Cheever, & Rokkum, 2013).”
An Exploration of Problematic Smartphone Use among Chinese University Students: Associations with Academic Anxiety, Academic Procrastination, Self-Regulation and Subjective Wellbeing (2018, background): “Low self-regulation has been found to negatively predict problematic smartphone use in European samples (Gökçearslan et al. 2016; Van Deursen et al. 2015).”
Fear of missing out, need for touch, anxiety and depression are related to problematic smartphone use (2016, result): “Other research has shown associations between problematic smartphone use and more general stress and self-esteem, but with less consistent findings (e.g., Smetaniuk, 2014; van Deursen et al., 2015).”
Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. (2017, methodology): “…enhancement (e.g., calendar and email), information seeking (e.g., web browsing news stories), social information and interaction (e.g., social media), diversion and relaxation, entertainment, monetary compensation (e.g., locating consumer deals) and personal status (van Deursen et al., 2015).”
The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. (2017, background): “However, research hasmore consistently shown that addictive use of social media ismore prevalent amongwomen thanmen (Andreassen, 2015;Griffiths et al., 2014), and it has been suggested that women aremore inclined to develop addictive behaviors towards activities involving social interaction (Andreas”
Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students (2016, background): “…user characteristics (Park & Lee, 2011); life stress (Chiu, 2014); academic success (Kibona & Mgaya, 2015; Mok et al., 2014; Olufadi, 2015; van Deursen et al., 2015); learning (Lee, Cho, Kim, & Noh, 2015); habits (Chen, Zhang, & Zhao, 2015); age (Kibona & Mgaya, 2015); self-regulation (Jeong,…”
Investigation of nomophobia and smartphone addiction predictors among adolescents in Turkey: Demographic variables and academic performance (2019, methodology): “(Van Deursen et al., 2015).”