Discipline Yourself Before Life Disciplines You: Deficient Self-Regulation and Mobile Phone Unregulated Use
Abstract
Excessive mobile phone use has gained attention in the media recently, where it has been associated with driving fatalities and productivity decrements as well as social embarrassment. To provide successful interventions, there is a need to understand why some mobile phone owners can't resist the urge to use their devices. Much prior research has investigated excessive use through the perspective of technology addiction. In the current study we digress from that perspective, and investigate deficient self-regulation as a possible lens to explain excessive mobile phone use and its associated negative consequences. Surveys were used for data collection (n=266). A Partial Least Squares analysis of Anxiety, Boredom, Deficient Self-Regulation, Habit and Mobile phone use (MPU) combined to explain Negative Consequences associated with MPU with 62.8% variance explained. The findings provide evidence on the role of deficient self-regulation in excessive MPU and provide useful insights about appropriate interventions.
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?
Habituation is a key driver of smartphone usage, as conditioned patterns of usage tend to be repeated by individuals over time.
“Habituation has been found to be a key driver of smartphone usage here, as conditioned patterns of usage tend to be repeated by individuals over time (Fullwood et al., 2017;Oulasvirta et al., 2012;Soror et al., 2012).”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Soror et al., 2012
Deficiencies in self-regulation and control contribute to higher levels of mobile phone use.
“Deficiencies in self-regulation and control can further contribute to higher levels of mobile phone use (e.g., Lee, Lee, et al., 2014;Soror et al., 2012)”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Soror et al., 2012
PSU may lead to more serious consequences such as dangerous driving, depression, and anxiety.
“It could also lead to more serious consequences such as dangerous driving (Soror, Steelman, & Limayem, 2012), depression (Harwood, Dooley, Scott, & Joiner, 2014), and anxiety (Hartanto & Yang, 2016).”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Soror, Steelman, & Limayem, 2012
Findings further suggest that smartphone overuse can lead to monetary overspending and thus financial problems.
“Findings further suggest that smartphone overuse can lead to monetary overspending and thus financial problems (Chen et al., 2016;Soror et al., 2012).”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Soror et al., 2012
Compulsive checking behaviors could explain some dangerous driving.
“These studies found that the legislation was unsuccessful in terms of reducing dangerous driving and that compulsive checking behaviors could explain some of the dangerous driving (Soror et al., 2012;Steelman et al., 2012;Vaghefi et al., 2017).”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Soror et al., 2012
Legislation was unsuccessful in reducing dangerous driving.
“These studies found that the legislation was unsuccessful in terms of reducing dangerous driving and that compulsive checking behaviors could explain some of the dangerous driving (Soror et al., 2012;Steelman et al., 2012;Vaghefi et al., 2017).”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Soror et al., 2012
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314 · see citing works
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190 · see citing works
(1985) · Medical Entomology and Zoology · Cited by 19,180 · see citing works
Nunnally, J. C. 1.-1., & Bernstein, I. H. (1994) · Cited by 9,365 · see citing works
Human agency in social cognitive theory.
Bandura, A. (1989) · American Psychologist · doi:10.1037/0003-066x.44.9.1175 · Cited by 8,263 · see citing works
Social cognitive theory of self-regulation
Bandura, A. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90022-l · Cited by 6,875 · see citing works
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534 · see citing works
Self-regulation and depletion of limited resources: Does self-control resemble a muscle?
Muraven, M., & Baumeister, R. F. (2000) · Psychological Bulletin · doi:10.1037/0033-2909.126.2.247 · Cited by 4,510 · see citing works
The Strength Model of Self-Control
Baumeister, R. F., Vohs, K. D., & Tice, D. M. (2007) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2007.00534.x · Cited by 3,567 · see citing works
A practical guide to factorial validity using PLS-graph: tutorial and annotated example
Gefen, D., & Straub, D. (2005) · Communications of the Association for Information Systems · doi:10.17705/1cais.01605 · Cited by 3,280 · see citing works
A cognitive-behavioral model of pathological Internet use
Davis, R. A. (2001) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00041-8 · Cited by 3,010 · see citing works
How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance1
Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007) · MIS Quarterly · doi:10.2307/25148817 · Cited by 2,450 · see citing works
Self-citationSelf-regulation failure: an overview.
Baumeister, R. F., & Heatherton, T. F. (1996) · Psychological Inquiry · doi:10.1207/s15327965pli0701_1 · Cited by 2,266 · see citing works
The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift.
Bagozzi, R. P. (2007) · Journal of the Association for Information Systems · doi:10.17705/1jais.00122 · Cited by 2,046 · see citing works
Losing control: how and why people fail at self-regulation
(1995) · Choice Reviews Online · doi:10.5860/choice.32-6508 · Cited by 1,924 · see citing works
Psychological Predictors of Problem Mobile Phone Use
Bianchi, A., & Phillips, J. G. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.39 · Cited by 1,514 · see citing works
A new look at habits and the habit-goal interface.
Wood, W., & Neal, D. T. (2007) · Psychological Review · doi:10.1037/0033-295x.114.4.843 · Cited by 1,470 · see citing works
Caplan, S. E. (2002) · Computers in Human Behavior · doi:10.1016/s0747-5632(02)00004-3 · Cited by 1,279 · see citing works
Interventions to Break and Create Consumer Habits
Verplanken, B., & Wood, W. (2006) · Journal of Public Policy & Marketing · doi:10.1509/jppm.25.1.90 · Cited by 1,221 · see citing works
Evaluation of Structural Equation Models Using the Partial Least Squares (PLS) Approach
Götz, O., Liehr-Gobbers, K., & Krafft, M. (2009) · Springer eBooks · doi:10.1007/978-3-540-32827-8_30 · Cited by 1,217 · see citing works
Internet Addiction: A New Clinical Phenomenon and Its Consequences
Young, K. S. (2004) · American Behavioral Scientist · doi:10.1177/0002764204270278 · Cited by 1,088 · see citing works
Theory and measurement of generalized problematic internet use : A two-step approach
Caplan, S. E. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.012 · Cited by 1,061 · see citing works
Modification in the Proposed Diagnostic Criteria for Internet Addiction
Beard, K. W., & Wolf, E. (2001) · CyberPsychology & Behavior · doi:10.1089/109493101300210286 · Cited by 1,019 · see citing works
Distinguishing addiction and high engagement in the context of online game playing
Charlton, J. P., & Danforth, I. D. W. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2005.07.002 · Cited by 946 · see citing works
Baumeister, R. F., Gailliot, M., DeWall, C. N., & Oaten, M. (2006) · Journal of Personality · doi:10.1111/j.1467-6494.2006.00428.x · Cited by 910 · see citing works
LaRose, R., & Eastin, M. S. (2004) · Journal of Broadcasting & Electronic Media · doi:10.1207/s15506878jobem4803_2 · Cited by 890 · see citing works
More Than Just Talk on the Move: Uses and Gratifications of the Cellular Phone
Leung, L. W., & Wei, R. (2000) · Journalism & Mass Communication Quarterly · doi:10.1177/107769900007700206 · Cited by 883 · 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
Davis, R. A., Flett, G. L., & Besser, A. (2002) · CyberPsychology & Behavior · doi:10.1089/109493102760275581 · Cited by 750 · see citing works
Leung, L. (2008) · Journal of Children and Media · doi:10.1080/17482790802078565 · Cited by 733 · see citing works
Losing control: How and why people fail at self-regulation
Horn, D. H. A. V. (1995) · Clinical Psychology Review · doi:10.1016/0272-7358(95)90149-3 · Cited by 717 · see citing works
Internet addiction, usage, gratification, and pleasure experience: the Taiwan college students’ case
Chou, C., & Hsiao, M.-C. (2000) · Computers & Education · doi:10.1016/s0360-1315(00)00019-1 · Cited by 700 · see citing works
Cognitive Behavior Therapy with Internet Addicts: Treatment Outcomes and Implications
Young, K. S. (2007) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.9971 · Cited by 668 · see citing works
Wood, W., & Neal, D. T. (2009) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2009.08.003 · Cited by 626 · see citing works
Problematic internet and cell-phone use: Psychological, behavioral, and health correlates
Jenaro, C., Flores, N., Gómez-Vela, M., González-Gil, F., & Caballo, C. (2007) · Addiction Research & Theory · doi:10.1080/16066350701350247 · Cited by 535 · see citing works
LaRose, R., Mastro, D. E., & Eastin, M. S. (2001) · Social Science Computer Review · doi:10.1177/089443930101900401 · Cited by 527 · see citing works
de Guinea, A. O., & Markus, M. L. (2009) · MIS Quarterly · doi:10.2307/20650303 · Cited by 515 · see citing works
Beranuy, M., Oberst, U., Carbonell, X., & Chamarro, A. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.03.001 · Cited by 498 · see citing works
The Role of Flow Experience in Cyber-Game Addiction
Chou, T.-J., & Ting, C.-C. (2003) · CyberPsychology & Behavior · doi:10.1089/109493103322725469 · Cited by 497 · see citing works
Staying connected while on the move
Wei, R., & Lo, V. (2006) · New Media & Society · doi:10.1177/1461444806059870 · Cited by 493 · see citing works
de Guinea, A. O., & Markus, M. L. (2009) · Journal of the Association for Information Systems · doi:10.5555/2481626.2481629 · Cited by 460 · see citing works
Problematic Internet use or Internet addiction?
Yellowlees, P., & Marks, S. L. (2005) · Computers in Human Behavior · doi:10.1016/j.chb.2005.05.004 · Cited by 453 · see citing works
LaRose, R. (2010) · Communication Theory · doi:10.1111/j.1468-2885.2010.01360.x · Cited by 404 · see citing works
Kuhl, J. (1992) · Applied Psychology · doi:10.1111/j.1464-0597.1992.tb00688.x · Cited by 331 · see citing works
Addictive Behaviors: Etiology And Treatment
Marlatt, G. A. (1988) · Annual Review of Psychology · doi:10.1146/annurev.psych.39.1.223 · Cited by 325 · see citing works
Gambling on the internet: A brief note
Griffiths, M. D. (1996) · Journal of Gambling Studies · doi:10.1007/bf01539190 · Cited by 266 · see citing works
Boredom proneness: Its relationship to psychological- and physical-health symptoms
Sommers, J. A., & Vodanovich, S. J. (2000) · Journal of Clinical Psychology · doi:10.1002/(sici)1097-4679(200001)56:1 · Cited by 262 · see citing works
Can’t Control Yourself? Monitor Those Bad Habits
Quinn, J. M., Pascoe, A., Wood, W., & Neal, D. T. (2010) · Personality and Social Psychology Bulletin · doi:10.1177/0146167209360665 · Cited by 256 · see citing works
Webb, T. L., Sheeran, P., & Łuszczyńska, A. (2008) · British Journal of Social Psychology · doi:10.1348/014466608x370591 · Cited by 234 · see citing works
Internet Addiction: College Student Case Study Using Best Practices in Cognitive Behavior Therapy.
Hall, A., & Parsons, J. (2001) · Journal of Mental Health Counseling · Cited by 218 · see citing works
Does impulsivity relate to perceived dependence on and actual use of the mobile phone?
Billieux, J., Van der Linden, M., d'Acremont, M., Ceschi, G., & Zermatten, A. (2007) · Applied Cognitive Psychology · doi:10.1002/acp.1289 · Cited by 218 · see citing works
Mental habits: metacognitive reflection on negative self-thinking.
Verplanken, B., Friborg, O., Wang, C. E., Trafimow, D., & Woolf, K. (2007) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.92.3.526 · Cited by 213 · see citing works
Tokunaga, R. S., & Rains, S. A. (2010) · Human Communication Research · doi:10.1111/j.1468-2958.2010.01386.x · Cited by 189 · see citing works
Nelson, E., Atchley, P., & Little, T. D. (2009) · Accident Analysis & Prevention · doi:10.1016/j.aap.2009.01.006 · Cited by 188 · see citing works
The role of metacognitions in problematic Internet use
Spada, M. M., Langston, B., Nikčević, A. V., & Moneta, G. B. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2007.12.002 · Cited by 173 · see citing works
Some Aspects of Nonorthogonal Data Analysis
Snee, R. D. (1973) · Journal of Quality Technology · doi:10.1080/00224065.1973.11980577 · Cited by 144 · see citing works
The motivations of adolescents who are addicted to online games: a cognitive perspective.
Wan, C., & Chiou, W. (2007) · PubMed · Cited by 110 · see citing works
Research Note: A Need or a Status Symbol?
Özcan, Y. Z., & Koçak, A. (2003) · European Journal of Communication · doi:10.1177/0267323103018002004 · Cited by 98 · see citing works
Young and connected: Psychological influences of mobile phone use amongst Australian youth
Walsh, S. P., White, K. M., & Young, R. M. (2007) · QUT ePrints (Queensland University of Technology) · Cited by 56 · see citing works
(2008) · Journal of the Association for Information Systems · Cited by 36 · see citing works
Walsh, S. P., & White, K. L. (2006) · QUT ePrints (Queensland University of Technology) · Cited by 25 · see citing works
Flagged first, then by citations
1 of the 62 references couldn’t be matched to a known paper.
Research works printed but not linked: 5
- spielberger, 1983, State Trait Anxiety Inventory for Adults Sampler Set Manual Test Scoring Key [form Y STAIS-AD
- 2010, Texting laws and collision claim frequencies, Highway Loss Data Institute Bulletin, 27, 1
- pennay, 2006, Community Attitudes to Road Safety-Wave 19 2006
- csikszentmihalyi, 1991, Flow The Psychology of Optimal Experience Steps Toward Enhancing the Quality of Life
- ringle, 0, SmartPLS 2.0, Hamburg University of Hamburg 2005
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
Yang, Z., Asbury, K., & Griffiths, M. D. (2019) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-018-9961-1 · Cited by 241 · see citing works
“Low self-regulation has also been found to predict greater mobile phone and Internet use, and anxiety (LaRose and Eastin 2004; LaRose et al. 2003; Soror et al. 2012).”
BackgroundGong, X., Zhang, K. Z. K., Cheung, C. M. K., Chen, C., & Lee, M. (2019) · Information & Management · doi:10.1016/j.im.2019.01.001 · Cited by 133 · see citing works
The Overlap Between Problematic Smartphone Use and Problematic Social Media Use: a Systematic Review
Marino, C., Canale, N., Melodia, F., Spada, M. M., & Vieno, A. (2021) · Current Addiction Reports · doi:10.1007/s40429-021-00398-0 · Cited by 105 · see citing works
Problematic Smartphone Use Leads to Behavioral and Cognitive Self-Control Deficits
Fabio, R. A., Stracuzzi, A., & Faro, R. L. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19127445 · Cited by 97 · see citing works
A Six-Year Longitudinal Study of Texting Trajectories During Adolescence
Coyne, S. M., Padilla‐Walker, L. M., & Holmgren, H. G. (2017) · Child Development · doi:10.1111/cdev.12823 · Cited by 58 · see citing works
Antecedents and consequences of excessive online social gaming: a social learning perspective
Gong, X., Zhang, K. Z. K., Chen, C., Cheung, C. M. K., & Lee, M. (2019) · Information Technology and People · doi:10.1108/itp-03-2018-0138 · Cited by 58 · see citing works
Xu, D. J. (2016) · Information & Management · doi:10.1016/j.im.2015.12.007 · Cited by 42 · see citing works
The association of self-regulation, habit, and mindfulness with texting while driving
Moore, M. M., & Brown, P. M. (2018) · Accident Analysis & Prevention · doi:10.1016/j.aap.2018.10.013 · Cited by 38 · see citing works
Wang, C., Geng, L., & Rodríguez-Casallas, J. D. (2021) · Current Psychology · doi:10.1007/s12144-021-01453-9 · Cited by 34 · see citing works
A Research on Addictive Use of Smartphone by University Students
Ko, K.-S., Lee, M., & Kim, Y. (2012) · Journal of Digital Contents Society · doi:10.9728/dcs.2012.13.4.501 · Cited by 27 · see citing works
“즉, 자 기조절 능력의 결함으로 휴대전화 사용자는 휴 대폰 사용 행동을 통제할 수 있는 능력을 상실 하게 되고, 과다한 시간을 휴대폰 사용에 할애함 으로써 일상생활에서 생산성 저하 등의 부정적 인 결과를 초래하고 있었다[33].”
Color me calm: Grayscale phone setting reduces anxiety and problematic smartphone use
Holte, A. J., Giesen, D. T., & Ferraro, F. R. (2023) · Current Psychology · doi:10.1007/s12144-021-02020-y · Cited by 22 · see citing works
“…self-reported PSU severity is related to academic deficits (Lepp et al., 2014; Samaha & Hawi, 2016), declines in employee productivity (Bian & Leung, 2015; Duke & Montag, 2017), difficulties sleeping (Demirci et al., 2015; Lemola et al., 2015) and risky driving behaviors (Soror et al., 2012).”
BackgroundLeclercq‐Vandelannoitte, A. (2019) · Journal of Business Ethics · doi:10.1007/s10551-019-04202-y · Cited by 25 · see citing works
“…in MIS has shown that compulsive behaviors, technostress, and harmful impacts on the individual are often due to deficient self-regulation and bad habits (Soror et al. 2012); it is thus incumbent on each individual to be more reflexive on his or her behaviors and on his or her impact on others.”
BackgroundYu, L., Chen, Y., Zhang, S., Bao, D., & Liao, S. (2022) · Internet Research · doi:10.1108/intr-05-2021-0287 · Cited by 17 · see citing works
Collaboration in the digital age: From email to enterprise social networks
Bertin, E., Colléaux, A., & Leclercq‐Vandelannoitte, A. (2020) · Systèmes d information & management · doi:10.3917/sim.201.0007 · Cited by 15 · see citing works
Saad, M. A. E., & Khalifa, A. G. (2020) · Electronic Journal of Research in Educational Psychology · doi:10.25115/ejrep.v18i52.2987 · Cited by 13 · see citing works
“In line with previous studies (Gökçearslan et al., 2016; LaRose & Eastin, 2004; LaRoseetal, 2003; Soror et al., 2012; Van Deursen et al., 2015), SLR predicted AP.”
ResultThe Social Media Trap -- How Knowledge Workers Learn to Deal with Constant Social Connectivity
Waizenegger, L., Remus, U., & Maier, R. (2016) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.267 · Cited by 11 · see citing works
“In our information society ICT became the constant companion of knowledge workers and can have some anti-social and addictive effects [3, 36].”
BackgroundCao, M., Yang, H., & Chen, D. (2023) · Behavioral Sciences · doi:10.3390/bs13110901 · Cited by 10 · see citing works
Saad, M. A. E. (2020) · Revista Amazonia Investiga · doi:10.34069/ai/2020.26.02.27 · Cited by 10 · see citing works
Ayaburi, E. W. Y., Wairimu, J., & Andoh‐Baidoo, F. K. (2019) · Information Systems Frontiers · doi:10.1007/s10796-019-09942-w · Cited by 11 · see citing works
Analysis of the Pre and Post-COVID-19 Lockdown Use of Smartphone Apps in Spain
Solano, A., Fayos, I., Urueña, A., Martı́nez-Sober, M., Mateo, F., & Soria‐Olivas, E. (2021) · Applied Sciences · doi:10.3390/app11135807 · Cited by 5 · see citing works
“If this behavior becomes frequent, the conditioned patterns of use tend to be repeated by individuals over time (Fullwood et al., 2017 [16]; Oulasvirta et al., 2012 [17]; Soror et al., 2012 [18]); Thakur and Han., 2020 [19].”
BackgroundRodríguez–Torrico, P., Gutiérrez, S. S. M., & Jiménez, N. (2023) · Computers in the Schools · doi:10.1080/07380569.2023.2168146 · Cited by 5 · see citing works
“However, problematic smartphone use also affects other aspects of the people's lives, such as work or academic performance (Soror et al., 2012).”
BackgroundConnectivity as a Two-Edged Sword: Mirroring the Multifaceted Field of Constant Connectivity
Waizenegger, L. (2015) · Journal of the Association for Information Systems · Cited by 4 · see citing works
Kertechian, K. S., & Ismail, H. N. (2023) · Psychological Reports · doi:10.1177/00332941231183338 · Cited by 5 · see citing works
“Thus, students who can engage successfully in self-regulation tend to be less smartphone-addicted, while students who fail to express self-regulation will be more likely smartphone-addicted and are more likely to undergo well-being issues (Soror et al., 2012).”
Yang, D., Wang, C., Li, Z., & Fei, C. (2025) · Scientific Reports · doi:10.1038/s41598-025-22912-4 · Cited by 2 · see citing works
“Increased phone dependency among school-aged children has raised public concerns 65 , particularly given that lower socioeconomic status levels, such as poor self-regulation, are associated with problematic digital behaviors 66 .”
Liu, D., Zhang, X., Elhai, J. D., Montag, C., & Yang, H. (2024) · Cognitive Therapy and Research · doi:10.1007/s10608-024-10558-x · Cited by 1 · see citing works
“Excessive use of the internet and smart-phones has been linked to negative outcomes such as vision impairment, sleep deprivation (Lapointe et al., 2013), and dangerous driving (Soror et al., 2012).”
Zheng, J. H., Seo, S., & Choe, E. K. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3749507 · Cited by 1 · see citing works
“Certain contexts could render almost all phone usage problematic, such as using a phone in the bedroom during sleep hours [7], in the classroom [86], while driving [90] or walking [93], and during social interaction (a behavior known as phubbing) [21].”
Karakuş, O. B., Cubukcu, H. T., Basli, M., Baltacioglu, D. B. A., ESİN, İ. S., & Dursun, O. B. (2026) · Current Psychology · doi:10.1007/s12144-026-09337-6 · Cited by 1 · see citing works
“In addition, PSU has been linked to negative functional consequences such as academic under - achievement, deterioration in social relationships (Kuss et al., 2014), and risky behaviors, including smartphone use while driving (Soror et al., 2012).”
Connectivity Changes: Why Do Project Team Members Shift between Different States of Connectivity?
Waizenegger, L., Remus, U., & Maier, R. (2014) · Journal of the Association for Information Systems · Cited by 1 · see citing works
White, N. (2015) · NSUWorks (Nova Southeastern University)
نوفل, س. ع. ا. (2021) · مجلة جامعة جنوب الوادى الدولية للعلوم التربوية · doi:10.21608/musi.2021.106604.1056
Danou, S. A. (2025) · Advances in social networking and online communities book series · doi:10.4018/979-8-3693-4191-9.ch007
Yıldız, N., Esentürk, O. K., Seçer, E., & İlhan, E. L. (2025) · Beden Eğitimi ve Spor Bilimleri Dergisi · doi:10.61962/bsd.1614267
Nwagu, C., Banire, B., Ataguba, G., Meier, S. M., & Orji, R. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2605522
“The impact of PSU is also manifested on the roads in the form of dangerous driving due to distraction from smartphones (Soror et al., 2012) or accidents caused by pedestrians who are distracted by their smartphones while using the road (World Health Organization, 2015), a phenomenon referred to…”
- Authors
- Soror, A. A., Steelman, Z. R., & Limayem, M.
- Affiliations
- University of Arkansas at Fayetteville (US)
- Venue
- 2012 45th Hawaii International Conference on System Sciences
- Publisher
- IEEE
- Published
- 2012-01
- Pages
- 849-858
- ISSN
- 1530-1605 (ISSN-L)
- OpenAlex
- W2125734640
- Semantic Scholar
- 9f5acc385669755971bf72539b0f5abad49953bf
- Cited by
- 34
- References
- 62
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 1 · 2023: 3 · 2022: 2 · 2021: 5 · 2020: 4 · 2019: 4 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 1 · 2012: 1
- FWCI
- 3.31
- 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 › Personal Information Management and User Behavior
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- excessive mobile phone use, mobile phone addiction, anxiety, boredom, habit, productivity loss, social embarrassment, self-regulation interventions
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
