Cited by 466Impact of Technology on AdolescentsPersonal Information Management and User BehaviorCyberloafing and Workplace Behavior

Smartphone addiction, daily interruptions and self-reported productivity

Open access
Duke, Éilish, Montag, Christian·2017·Addictive Behaviors Reports

Abstract

The advent of the smartphone has dramatically altered how we communicate, navigate, work and entertain ourselves. While the advantages of this new technology are clear, constant use may also bring negative consequences, such as a loss of productivity due to interruptions in work life. A link between smartphone overuse and loss of productivity has often been hypothesized, but empirical evidence on this question is scarce. The present study addressed this question by collecting self-report data from N = 262 participants, assessing private and work-related smartphone use, smartphone addiction and self-rated productivity. Our results indicate a moderate relationship between smartphone addiction and a self-reported decrease in productivity due to spending time on the smartphone during work, as well as with the number of work hours lost to smartphone use. Smartphone addiction was also related to a greater amount of leisure time spent on the smartphone and was strongly related to a negative impact of smartphone use on daily non-work related activities. These data support the idea that tendencies towards smartphone addiction and overt checking of the smartphone could result in less productivity both in the workplace and at home. Results are discussed in relation to productivity and technostress. • A link between smartphone use and loss of productivity is investigated for the first time. • A moderate relationship is seen between smartphone addiction and decreased work productivity. • Smartphone addiction scores are also perceived to negatively affect daily life. • Findings are discussed in relation to flow and technostress.

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Crossref · 10.1016/j.abrep.2017.07.002

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  • Other studies investigating the impact on work performance found that work was neglected and productivity reduced, that users experienced work problems, and a perception of work overload.

    “Other studies investigating the impact on work performance found that work was neglected and productivity reduced (e.g., Bian & Leung, 2015;Duke & Montag, 2017;Shin & Lee, 2015), that users experienced work problems (e.g., Park, 2019;Soror et al., 2012;Vaghefi et al., 2017) and a perception of work overload (Turel et al., 2008).”

    From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Duke & Montag, 2017

    Duke and Montag support the productivity part of the clause: the Discussion reports that participants perceived smartphone use to harm work productivity, and the Conclusion describes a moderate association with self-reported negative effects. The paper does not establish that work was objectively neglected or that productivity was measured to have fallen; its findings rely on self-report. The later claims about work problems and overload are attributed to other citations, not this paper. (LLM, conf=0.82)

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  • Continuous digital distractions might reduce the cognitive capacity for careful deliberation, leading to more impulsive decisions.

    “Continuous digital distractions might reduce the cognitive capacity for careful deliberation, leading to more impulsive decisions (Duke and Montag, 2017).”

    From The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review (2023) · cites this paper as Duke and Montag, 2017

    The Introduction (page not provided) says smartphone interruptions can disrupt sustained concentration, and the Discussion suggests frequent phone checking may undermine flow at work. The paper does not say that these distractions reduce the capacity for careful deliberation or lead to more impulsive decisions; its discussion of impulsivity concerns phone use itself. (LLM, conf=0.84)

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  • Digital detox periods of abstinence from digital devices can restore cognitive functions and reduce stress levels.

    “Digital Detox: periods of abstinence from digital devices can restore cognitive functions and reduce stress levels (Duke and Montag, 2017).”

    From The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review (2023) · cites this paper as Duke and Montag, 2017

    The Discussion (page unavailable) links smartphone use to self-reported productivity problems and discusses technostress, but does not assess periods of abstinence. Searches for digital detox, device abstinence, cognitive restoration, and stress reduction found no passage supporting the claimed effects. (LLM, conf=0.74)

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Cites

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Research works printed but not linked: 18

  1. Cao F. Su L. Liu T. Gao X. The relationship between impulsivity and internet addiction in a sample of Chinese adolescents European Psychiatry 22 7 2007 466 471 17765486
  2. Chen J. Liang Y. Mai C. Zhong X. Chen Q. General deficit in inhibitory control of excessive smartphone users: Evidence from an event-related potential study Frontiers in Psychology 7 2016 511 27148120 PMC4830824
  3. Csikszentmihalyi M. Csikszentmihalyi, I. S. (Eds.). Optimal experience: Psychological studies of flow in consciousness 1992 Cambridge university press
  4. De-Sola Gutiérrez J. de Fonseca R.F. Rubio G. Cell-phone addiction: A review Frontiers in Psychiatry 7 2016 175 27822187 PMC5076301
  5. Duke, É., & Montag, C. (2017). Smartphone addiction and beyond: Initial insights on an emerging research topic and its relationship to internet addiction. In Internet Addiction (pp. 359-372). Springer international publishing.
  6. Elder V.B. Gardner E.P. Ruth S.R. Gender and age in technostress: Effects on white collar productivity Government Finance Review 3 6 1987 17 21
  7. Fischer, T. & Riedl, R. (2015). Theorizing technostress in Organisations: A Cybernetic Approach. In O. Thomas & F. Teuteberg (Hrsg.): Proceedings der 12. Internationalen Tagung Wirtschaftsinformatik (WI 2015), Osnabrück, S. 1453–1467.
  8. Lin Y.H. Lin Y.C. Lee Y.H. Lin P.H. Lin S.H. Chang L.R. … Kuo T.B. Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (app) Journal of Psychiatric Research 65 2015 139 145 25935253
  9. Miller G. The smartphone psychology manifesto Perspectives on Psychological Science 7 3 2012 221 237 26168460
  10. Montag C. Reuter M. Markowetz A. The impact of Psychoinformatics on internet addiction Montag C. Reuter M. Internet Addiction (pp. 143–150) 2015 Springer International Publishing
  11. Montag C. Kannen C. Lachmann B. Sariyska R. Duke É. Reuter M. Markowetz A. The importance of analogue zeitgebers to reduce digital addictive tendencies in the 21st century Addictive Behaviors Reports 2 2015 23 27 PMC5845952 29531991
  12. Montag C. Duke É. Markowetz A. Towards Psychoinformatics: Computer science meets Psychology Computational and Mathematical Methods in Medicine 2016 2016 2983685 PMC4923556 27403204
  13. Reilly M.C. Zbrozek A.S. Dukes E.M. The validity and reproducibility of a work productivity and activity impairment instrument PharmacoEconomics 4 5 1993 353 365 10146874
  14. Riedl R. On the biology of technostress: Literature review and research agenda ACM SIGMIS Database 44 1 2013 18 55
  15. Sariyska R. Reuter M. Lachmann B. Montag C. Attention deficit / hyperactivity disorder is a better predictor for problematic internet use than depression: Evidence from Germany Journal of Addiction Research & Therapy 6 2015 209
  16. Thomée S. Härenstam A. Hagberg M. Mobile phone use and stress, sleep disturbances and symptoms of depression among young adults – A prospective cohort study BMC Public Health 11 2011 66 21281471 PMC3042390
  17. Weil M.M. Rosen L.D. TechnoStress. Coping with technology @work @home @play 1997 Wiley New York
  18. Widyanto L. Griffiths M. Internet addiction: A critical review Internatino Journal of Mental Health and Addiction 4 2006 31 51

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Authors
Duke, É., & Montag, C.
Affiliations
  • Goldsmiths University of London (GB)
  • University of Electronic Science and Technology of China (CN)
Corresponding author
  • Duke, Éilish
  • Montag, Christian
Venue
Addictive Behaviors Reports
Publisher
Elsevier BV
Published
2017-12
Volume
6
Pages
90-95
ISSN
2352-8532 (ISSN-L)
OpenAlex
W2737692093
Cited by
466
References
9
Citations by year
2026: 32 · 2025: 38 · 2024: 62 · 2023: 58 · 2022: 80 · 2021: 64 · 2020: 76 · 2019: 31 · 2018: 22 · 2017: 3
FWCI
92.46
Type
journal article
Language
en
Open access
Locations
  • Addictive Behaviors Reports (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • German Research Foundation (2363/3-1)
  • Social Science Research Council (J00124)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
  • Social Sciences › Demography › Cyberloafing and Workplace Behavior
Keywords
smartphone addiction, smartphone overuse, labor productivity, interruptions, technostress, flow

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