Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-18T16:41:47.342Z Has data issue: false hasContentIssue false
  • English
  • Français

Conceptualizing digital well-being and technology addiction in I-O psychology

Published online by Cambridge University Press:  22 September 2021

Marvin Dadischeck
Marvin Dadischeck*
Affiliation:
School of Health in Social Science, The University of Edinburgh
*
Corresponding author. Email: marvin.dadischeck@gmail.com
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 14 , Issue 3 , September 2021 , pp. 401 - 403
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

I have no known conflict of interest to disclose.

References

Csibi, S., Griffiths, M. D., Demetrovics, Z., & Szabo, A. (2019). Analysis of problematic smartphone use across different age groups within the “components model of addiction.” International Journal of Mental Health and Addiction, 1–16. https://doi.org/10.1007/s11469-019-00095-0 CrossRefGoogle Scholar
Eichner, A. A. (2020). Planting trees and tracking screen time: A taxonomy of digital wellbeing features. PACIS 2020 Proceedings. 154. https://aisel.Aisnet.Org/pacis2020/154.Google Scholar
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259. https://doi.org/10.1016/j.jad.2016.08.030 CrossRefGoogle ScholarPubMed
Grant, J. E., & Chamberlain, S. R. (2016). Expanding the definition of addiction: Dsm-5 vs. Icd-11. CNS Spectrums, 21(4), 300–303. https://doi.org/10.1017/S1092852916000183 CrossRefGoogle ScholarPubMed
Hu, Xinyu, Barber, L. K., Park, Y., & Day, A. (2021). Defrag and reboot? Consolidating information and communication technology research in I-O psychology. Industrial and Organizational Psychology: Perspectives on Science and Practice, 14(3).Google Scholar
Kwon, M., Kim, D.-J., Cho, H., & Yang, S. (2013). The smartphone addiction scale: Development and validation of a short version for adolescents. PloS One, 8(12), Article e83558. https://doi.org/10.1371/journal.pone.0083558 CrossRefGoogle Scholar
Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J-H., and Kim, D.-J. (2013). Development and validation of a smartphone addiction scale (SAS). PloS One, 8(2), Article e56936. https://doi.org/10.1371/journal.pone.0056936 CrossRefGoogle Scholar
Lefkowitz, J. (2012). Ethics in industrial–organizational psychology. In Knapp, S. & Gottlieb, M. C. (Eds.), APA handbooks in psychology. APA handbook of ethics in psychology (1st ed., pp. 149–167). American Psychological Association. https://doi.org/10.1037/13272-008 Google Scholar
Li, L., & Lin, T. T. C. (2018). Examining how dependence on smartphones at work relates to Chinese employees’ workplace social capital, job performance, and smartphone addiction. Information Development, 34(5), 489–503. https://doi.org/10.1177/0266666917721735 CrossRefGoogle Scholar
Monge Roffarello, A., & de Russis, L. (2019, May 4–9). The Race towards digital wellbeing. In Brewster, S., Fitzpatrick, G., Cox, A., & Kostakos, V. (Eds.), CHI 2019: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1–14), Glasgow, Scotland, UK. ACM. https://doi.org/10.1145/3290605.3300616 Google Scholar
Montag, C., Wegmann, E., Sariyska, R., Demetrovics, Z., & Brand, M. (2019). How to overcome taxonomical problems in the study of Internet use disorders and what to do with “smartphone addiction”? Journal of Behavioral Addictions, 1–7. https://doi.org/10.1556/2006.8.2019.59 CrossRefGoogle Scholar
Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105–114. https://doi.org/10.1007/s00779-011-0412-2 CrossRefGoogle Scholar
Pavia, L., Cavani, P., Di Blasi, M., & Giordano, C. (2016). Smartphone Addiction Inventory (SPAI): Psychometric properties and confirmatory factor analysis. Computers in Human Behavior, 63, 170–178. https://doi.org/10.1016/j.chb.2016.05.039 CrossRefGoogle Scholar
Roetzel, P. G. (2018). Information overload in the information age: A review of the literature from business administration, business psychology, and related disciplines with a bibliometric approach and framework development. Business Research. Advance online publication. https://doi.org/10.1007/s40685-018-0069-z CrossRefGoogle Scholar
Vanden Abeele, M. M. P. (2020). Digital wellbeing as a dynamic construct. Communication Theory. Advance online publication. https://doi.org/10.1093/ct/qtaa024 CrossRefGoogle Scholar