Cited by 186Impact of Technology on AdolescentsChild Development and Digital TechnologySexuality, Behavior, and Technology

Cross-generational analysis of predictive factors of addictive behavior in smartphone usage

Zhitomirsky-Geffet, Maayan, Blau, Maya·2016·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2016.07.061

Cites

66 of 66 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The availability of applications such as social networking services and instant messaging was identified as an antecedent of PSU.

    “The availability of applications such as social networking services (SNS) and instant messaging (IM) was also identified as an antecedent of PSU (Chang et al., 2019;Nahas et al., 2018;Zhitomirsky-Geffet & Blau, 2016)”
  • Findings suggest that, although usage remains the same, Generation Y has the highest addictive behavior rate, followed by Generation Z, and Generation X has the lowest addictive behavior level.

    “Findings suggest that, although usage remains the same, Generation Y (the middle generation) has the highest addictive behavior rate (Kim, 2017;Zhitomirsky-Geffet & Blau, 2016), followed by Generation Z, and Gener-ation X has the lowest addictive behavior level (Zhitomirsky-Geffet & Blau, 2016).”
  • Several studies have demonstrated that social media/messenger and Freemium game applications are important drivers of excessive smartphone usage.

    “Such a focus is warranted because several studies already demonstrated that these applications are important drivers of (excessive) smartphone usage (literature on social media/messenger applications and smartphone usage [28,97,98]; literature on gaming and smartphone usage [29,99,100].”

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Authors
Zhitomirsky-Geffet, M., & Blau, M.
Affiliations
Bar-Ilan University (IL)
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2016-11
Volume
64
Pages
682-693
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2491000445
Cited by
186
References
70
Citations by year
2026: 6 · 2025: 24 · 2024: 18 · 2023: 22 · 2022: 24 · 2021: 26 · 2020: 22 · 2019: 17 · 2018: 19 · 2017: 8
FWCI
41.93
Type
journal article
Language
en
Open access
closed
Locations
Computers in Human Behavior (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Education › Child Development and Digital Technology
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
Keywords
smartphone addiction, addictive behavior, generational differences, Generation X, millennials, Generation Z, neuroticism, WhatsApp, mobile application, personality traits, psychological well-being

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