Addiction to Mobile Phone or Addiction through Mobile Phone?
Abstract
The current study aims to distinguish between two perspectives dominating the mobile phone addiction literature, addiction to a mobile phone and addiction through a mobile phone (i.e. addiction to mobile phone application). We extend state-of-the-art addiction literature by building on dual-systems theory and investigating both perspectives in the same theoretical model. We empirically test our model (n=333) and results provide support for all of the hypothesized relationships. Results indicate that addiction to mobile phones can't be fully explained by addiction to mobile phone applications. Theoretical and practical contributions of the study is discussed.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Gender was identified as a moderator of smartphone use in a number of papers.
“Gender was also identified as a moderator of smartphone use in a number of papers (Anshari et al., 2016;Davazdahemami et al., 2016;Elhai & Contractor, 2018;Lee, 2015;Lee, Lee, et al., 2014;Van Deursen et al., 2015;Volkmer & Lermer, 2019).”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Davazdahemami et al., 2016
The findings reflect developments in PSU research where researchers seek explanations in the type of smartphone use rather than as a result of general smartphone use.
“The findings reflect the developments in PSU research where researchers seek explanations in the type of smartphone use rather than as a result of general smartphone use (Davazdahemami et al., 2016).”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Davazdahemami et al., 2016
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
Unregulated internet usage: addiction, habit, or deficient self-regulation?
LaRose, R., Lin, C. A., & Eastin, M. S. (2003) · Media Psychology · doi:10.1207/s1532785xmep0503_01 · Cited by 868 · see citing works
Social networking on smartphones: When mobile phones become addictive
Salehan, M., & Negahban, A. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.07.003 · Cited by 700 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Busch, P. A., & McCarthy, S. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106414 · Cited by 657 · see citing works
- Authors
- Davazdahemami, B., Hammer, B., & Soror, A.
- Affiliations
- Oklahoma State University (US)
- Venue
- 2016 49th Hawaii International Conference on System Sciences (HICSS)
- Publisher
- IEEE
- Published
- 2016-01
- Pages
- 1467-1476
- ISSN
- 1530-1605 (ISSN-L)
- OpenAlex
- W2295833219
- Cited by
- 29
- References
- 4
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 5 · 2023: 4 · 2022: 2 · 2021: 1 · 2020: 8 · 2019: 2 · 2017: 2 · 2016: 1
- FWCI
- 5.28
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Hawaii International Conference on System Sciences (HICSS) (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Keywords
- mobile phone addiction, dual-system theory, smartphone use, behavioral addiction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
