Discipline Yourself Before Life Disciplines You: Deficient Self-Regulation and Mobile Phone Unregulated Use

Soror, Amr A.; Steelman, Zachary R.; Limayem, Moez

doi:10.1109/hicss.2012.219

Cited by 19 publications

(23 citation statements)

References 51 publications

(67 reference statements)

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“…This group tended to have fewer negative behavioral outcomes than several other groups, suggesting that this trajectory may be both a common and a preferable one to other groups. Of note, “moderates” showed better self‐regulation than other groups at the initial time point, suggesting that the development of self‐regulation may be an important factor in predicting a stable and moderate pattern of texting across adolescence (Soror et al., ).…”

Section: Discussionmentioning

confidence: 99%

“…Gender and family structure have both been associated with cell phone use, with girls and children from single-parent families sending more texts than boys and children from two-parent families (Padilla-Walker, Coyne, & Fraser, 2012). Additionally, self-regulation is necessary in resisting the automaticity of phone checking behavior, especially for those addicted to cell phones (Soror, Steelman, & Limayem, 2012).…”

Section: Correlates Of Cell Phone Usementioning

confidence: 99%

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A Six‐Year Longitudinal Study of Texting Trajectories During Adolescence

2017

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This study examined growth trajectories of texting (and other media) over a 6-year time period. Participants were 425 adolescents from Washington, USA (age 13 at Time 1, age 18 at Time 6; 48% male, 68% European American). Analyses suggested a curvilinear pattern for texting and social media use, with rates peaking during midadolescence. There was also considerable heterogeneity in trajectories of texting. A growth mixture model revealed four distinct classes of individuals: perpetuals (14%), decreasers (7%), moderates (68%), and increasers (11%). Higher levels of depression, being a male, and coming from a single-parent family predicted being a "perpetual" texter. Perpetuals had the most problematic outcomes compared to other classes, including higher depression, anxiety, aggression, and poor relationships with fathers.

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Section: Discussionmentioning

confidence: 99%

Section: Correlates Of Cell Phone Usementioning

confidence: 99%

A Six‐Year Longitudinal Study of Texting Trajectories During Adolescence

2017

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“…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). In line with previous studies, the present study found that PSU was negatively predicted by self-regulation.…”

Section: Comparison With Previous Studies and Implicationsmentioning

confidence: 99%

“…Billieux et al's (2015a) pathway model suggests that impulsivity, which appears to represent the failure of self-regulation, can lead to problematic mobile phone use. Several studies have suggested that low levels of self-regulation predict greater Internet/mobile phone use, as well as negative consequences such as anxiety (LaRose and Eastin 2004;LaRose et al 2003;Soror et al 2012). Low self-regulation has been found to negatively predict problematic smartphone use in European samples (Gökçearslan et al 2016;Van Deursen et al 2015).…”

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confidence: 99%

An Exploration of Problematic Smartphone Use among Chinese University Students: Associations with Academic Anxiety, Academic Procrastination, Self-Regulation and Subjective Wellbeing

Yang

Asbury

Griffiths

2018

Int J Ment Health Addiction

155

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Over the past decade, there have been an increasing number of studies that have investigated problematic and/or 'addictive' smartphone use. The present study explored the prevalence and correlates of problematic smartphone use (PSU) among Chinese university students. Few studies have investigated relationships between PSU and factors such as academic anxiety, academic procrastination, self-regulation, and subjective wellbeing. The present study proposed and tested a hypothetical model of relationships between PSU and these factors. A total of 475 Chinese university students completed a paper-based survey during class breaks. The survey comprised a battery of psychometric scales translated into Chinese translations examining the study variables (i.e., academic anxiety, academic procrastination, self-regulation, life satisfaction, and PSU). Path analysis was applied to test the hypothetical model. A good model fit was found (CFI = 1.00, RMSEA = 0.008), in which PSU predicted academic procrastination (β = 0.21, p < 0.001) and academic anxiety (β = 0.18, p < 0.01). Also, self-regulation predicted PSU (β = − 0.35, p < 0.001), academic anxiety (β = − 0.29, p < 0.001), academic procrastination (β = 0.23, p < 0.001) and life satisfaction (β = 0.23, p < 0.001). PSU mediated the relationships between self-regulation, and both academic anxiety and academic procrastination. The present study enhances our understanding of the role of problematic smartphone use in relation to academic behaviour, mental health and wellbeing of college students.Keywords Problematic smartphone use . Smartphone addiction . Academic anxiety . Academic procrastination . Self-regulation . Life satisfaction 2015a;Carbonell et al. 2012;Hussain et al. 2017;Lopez-Fernandez et al. 2017). Several symptoms of problematic smartphone use have been identified including excessive reassurance behaviours (e.g. constantly checking for new messages) and use in inappropriate situations such as using smartphones while driving (Billieux et al. 2015a). Furthermore, evidence suggests that problematic smartphone use may be a particular problem in China. For instance, Long et al. (2016) found that the prevalence of problematic smartphone use among undergraduates (n = 1062) in Mainland China (21.3%) was higher than in similar samples in other Asian regions such as South Korea (11.4%) and Taiwan (16.4 to 16.7%). All of these studies used the same instrument (Problematic Cellular Phone Use Questionnaire, PCPUQ, Yen et al. 2009) and the same diagnostic criteria. Explanations for this observed difference remain unclear. Also, several recent Chinese studies have found college students' smartphone use to be associated with poor psychological wellbeing, anxiety and loneliness (Bian and Leung 2015;Huang et al. 2013;Long et al. 2016). Thus, it appears important to investigate whether problematic smartphone use is particularly prevalent among Chinese college students and whether it is associated with negative psychological outcomes for them. The present study was designed...

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“…Prior literature employing SRT to understand individuals' impulsive behavior suggest that individuals with low selfregulation easily develop habits such as addictive texting or excessive mobile communication (Bayer, Dal Cin, et al 2016). Studies on SRT in IT context focus on understanding individuals' deficiency in self-regulation (DSR) that lead to negative outcomes including; compulsive internet use (Caplan 2010;LaRose et al 2003), gaming (Haagsma et al 2013), mobile phone addiction (Gökçearslan et al 2016;Soror et al 2015;Soror et al 2012;van Deursen et al 2015), and addictive use of social networking sites (SNS) (Lee et al 2016). Antecedents of DSR include boredom (Eastin et al 2007;Soror et al 2012), anxiety (Soror et al 2012), self-efficacy (LaRose et al 2003), and need for social interaction (Caplan 2010).…”

Section: Self-regulatory Theorymentioning

confidence: 99%

Antecedents and Outcome of Deficient Self-Regulation in Unknown Wireless Networks Use Context: An Exploratory Study

2019

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Wireless networks are becoming the norm in the society, where hotspots afford users access to the internet through mobile devices. Unknown wireless networks, open public networks with unknown identity, pose threats as hackers can gain unauthorized access to users' private information stored in their mobile devices. Despite the imminent dangers, individuals continue to use these networks. This study explicates a self-regulation theory to investigate the antecedents of deficient self-regulation (DSR) and its effects on habitual use of technology. We posit that both habit cues and information security experiential factors influence DSR, leading to habitual use of unknown wireless networks. The results show that perceived attachment, perceptions on privacy risk, and information security selfefficacy significantly influence DSR, which subsequently influences habitual use unknown wireless networks. This study contributes to the literature on self-regulatory theory, privacy, and provides implications for managers in dealing with vulnerabilities posed by employees using private or corporate mobile devices on unknown wireless network.

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Discipline Yourself Before Life Disciplines You: Deficient Self-Regulation and Mobile Phone Unregulated Use

Cited by 19 publications

References 51 publications

A Six‐Year Longitudinal Study of Texting Trajectories During Adolescence

A Six‐Year Longitudinal Study of Texting Trajectories During Adolescence

An Exploration of Problematic Smartphone Use among Chinese University Students: Associations with Academic Anxiety, Academic Procrastination, Self-Regulation and Subjective Wellbeing

Antecedents and Outcome of Deficient Self-Regulation in Unknown Wireless Networks Use Context: An Exploratory Study

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