Applying the SOBC paradigm to explain how social media overload affects academic performance

Abstract Research suggests University students are more disposed than others to develop problematic social media use. Social media overload, the phenomenon where users are exposed to a massive amount of information and communication demands via social media that may require energy and cognitive processing beyond their capabilities, is the specific problem under investigation in this paper. Combining qualitative data with the situation–organism–behavior-consequence paradigm, we develop a research model of the etiology of social media overload and its consequences for student performance in higher education. Using SEM-PLS techniques to analyze survey data from 182 students revealed a fear of missing out (the situation) is associated with feelings of overload (the organism), which in turn is linked to deficient self-regulation (the behavior) and ultimately reduced performance (the consequence). Our study advances the understanding of problematic social media use among students by demonstrating the psychological and behavioral conditions which hinder academic performance. Interventions designed to address social media overload should target the performance antecedents identified in this study.

[1]  Jun Yang,et al.  Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services , 2016, Inf. Manag..

[2]  Amandeep Dhir,et al.  Online social media fatigue and psychological wellbeing - A study of compulsive use, fear of missing out, fatigue, anxiety and depression , 2018, Int. J. Inf. Manag..

[3]  Andrew K. Przybylski,et al.  Motivational, emotional, and behavioral correlates of fear of missing out , 2013, Comput. Hum. Behav..

[4]  Jaehee Cho,et al.  The Rate and Delay in Overload: An Investigation of Communication Overload and Channel Synchronicity on Identification and Job Satisfaction , 2011 .

[5]  Dorit Alt,et al.  College students' academic motivation, media engagement and fear of missing out , 2015, Comput. Hum. Behav..

[6]  Sven Laumer,et al.  The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use , 2015, Inf. Syst. J..

[7]  Xiongfei Cao,et al.  Empirical investigation of Facebook discontinues usage intentions based on SOR paradigm , 2017, Comput. Hum. Behav..

[8]  Fausto Giunchiglia,et al.  Mobile social media usage and academic performance , 2018, Comput. Hum. Behav..

[9]  UniKL Bis Business Research Method , 2012 .

[10]  Adam L. Alter,et al.  Irresistible: The Rise of Addictive Technology and the Business of Keeping Us Hooked , 2017 .

[11]  Angela L. Duckworth,et al.  The significance of self-control , 2011, Proceedings of the National Academy of Sciences.

[12]  Fred D. Davis,et al.  Good habits gone bad: Explaining negative consequences associated with the use of mobile phones from a dual‐systems perspective , 2015, Inf. Syst. J..

[13]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[14]  Upkar Varshney,et al.  Supporting Quality-Of-Service of Mobile Commerce Transactions , 2005, Commun. Assoc. Inf. Syst..

[15]  Laura Frances Bright,et al.  Too much Facebook? An exploratory examination of social media fatigue , 2015, Comput. Hum. Behav..

[16]  Stoney L. Brooks Does personal social media usage affect efficiency and well-being? , 2015, Comput. Hum. Behav..

[17]  Xiongfei Cao,et al.  Excessive use of mobile social networking sites and poor academic performance: Antecedents and consequences from stressor-strain-outcome perspective , 2018, Comput. Hum. Behav..

[18]  Sven Laumer,et al.  Giving too much social support: social overload on social networking sites , 2015, Eur. J. Inf. Syst..

[19]  Jonathan Evans Dual-processing accounts of reasoning, judgment, and social cognition. , 2008, Annual review of psychology.

[20]  Stoney L. Brooks,et al.  Social networking’s peril: Cognitive absorption, social networking usage, and depression , 2015 .

[21]  R. Frank Falk,et al.  A Primer for Soft Modeling , 1992 .

[22]  Kyung Kyu Kim,et al.  Information and communication technology overload and social networking service fatigue: A stress perspective , 2016, Comput. Hum. Behav..

[23]  Fred Luthans,et al.  A Social Learning Approach to Organizational Behavior , 1980 .

[24]  Shelia R. Cotten,et al.  No A 4 U: The relationship between multitasking and academic performance , 2012, Comput. Educ..

[25]  Alton Yeow-Kuan Chua,et al.  Antecedents and effects of social network fatigue , 2014, J. Assoc. Inf. Sci. Technol..

[26]  G. Hofstede,et al.  Culture′s Consequences: International Differences in Work-Related Values , 1980 .

[27]  Reinout W. Wiers,et al.  On taming horses and strengthening riders: Recent developments in research on interventions to improve self-control in health behaviors , 2011 .

[28]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[29]  Robert LaRose,et al.  Unregulated Internet Usage: Addiction, Habit, or Deficient Self-Regulation? , 2003 .

[30]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[31]  Jiun-Yu Wu,et al.  The indirect relationship of media multitasking self-efficacy on learning performance within the personal learning environment: Implications from the mechanism of perceived attention problems and self-regulation strategies , 2017, Comput. Educ..

[32]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

[33]  Reynol Junco,et al.  The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement , 2012, Comput. Educ..

[34]  Dorothy E. Leidner,et al.  Bridging the work/social divide: the emotional response to organizational social networking sites , 2012, Eur. J. Inf. Syst..

[35]  Ofir Turel,et al.  Organizational deviance via social networking site use: The roles of inhibition, stress and sex differences , 2017 .

[36]  Paul Benjamin Lowry,et al.  The Effect of Belongingness on Obsessive-Compulsive Disorder in the Use of Online Social Networks , 2017, J. Manag. Inf. Syst..

[37]  John Sweller,et al.  Cognitive technology: Some procedures for facilitating learning and problem solving in mathematics and science. , 1989 .

[38]  Rathindra Sarathy,et al.  Self-control, organizational context, and rational choice in Internet abuses at work , 2017, Inf. Manag..

[39]  Michel Tenenhaus,et al.  PLS path modeling , 2005, Comput. Stat. Data Anal..

[40]  H. Harman Modern factor analysis , 1961 .

[41]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[42]  Wenhong Chen,et al.  Sharing, Liking, Commenting, and Distressed? The Pathway Between Facebook Interaction and Psychological Distress , 2013, Cyberpsychology Behav. Soc. Netw..

[43]  Pamela J. Wisniewski,et al.  When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity , 2010, Comput. Hum. Behav..

[44]  Stephen D. Perry,et al.  Student Instant Message Use in a Ubiquitous Computing Environment: Effects of Deficient Self-Regulation , 2004 .

[45]  M. Wong,et al.  Perceptions of Parental Involvement and Autonomy Support: Their Relations with Self-Regulation, Academic Performance, Substance Use and Resilience among Adolescents , 2008 .

[46]  Christoph Lutz,et al.  Stress 2.0: Social Media Overload Among Swiss Teenagers , 2014 .

[47]  Daniel B. le Roux,et al.  In-lecture media use and academic performance: Does subject area matter? , 2017, Comput. Hum. Behav..

[48]  Weipeng Yang,et al.  Is facebook involvement associated with academic engagement among Filipino university students? A cross-sectional study , 2018, Comput. Educ..

[49]  K. Namkoong,et al.  The Relationship Between Online Game Addiction and Aggression, Self-Control and Narcissistic Personality Traits , 2008, European Psychiatry.

[50]  K. Vohs,et al.  The Strength Model of Self-Control , 2007, Encyclopedia of Behavioral Medicine.

[51]  A. K. M. Najmul Islam,et al.  Engagement and Well-being on Social Network Sites , 2015, CSCW.

[52]  John Sweller,et al.  Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..

[53]  Arun Vishwanath,et al.  Problematic Online Pornography Use: A Media Attendance Perspective , 2016, Journal of sex research.

[54]  Xiongfei Cao,et al.  Exploring the effect of overload on the discontinuous intention of social media users: An S-O-R perspective , 2018, Comput. Hum. Behav..

[55]  R. Perry,et al.  A Methodological Study of Overloadx. , 1977, The Journal of general psychology.

[56]  G. S. Sanders,et al.  Distraction and social comparison as mediators of social facilitation effects , 1978 .

[57]  Jesse Fox,et al.  The dark side of social networking sites: An exploration of the relational and psychological stressors associated with Facebook use and affordances , 2015, Comput. Hum. Behav..

[58]  Joseph Hilgard,et al.  Acute exposure to difficult (but not violent) video games dysregulates cognitive control , 2015, Comput. Hum. Behav..

[59]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[60]  Mark W. Becker,et al.  Media Multitasking Is Associated with Symptoms of Depression and Social Anxiety , 2013, Cyberpsychology Behav. Soc. Netw..

[61]  R. Ryan,et al.  Self-determination theory , 2015 .

[62]  Gregory M. Walton,et al.  Ego Depletion—Is It All in Your Head? , 2010, Psychological science.

[63]  Robert LaRose,et al.  Connection Overload? A Cross Cultural Study of the Consequences of Social Media Connection , 2014, Inf. Syst. Manag..

[64]  Mohd Shahizan Othman,et al.  A model of factors affecting learning performance through the use of social media in Malaysian higher education , 2018, Comput. Educ..

[65]  Michail N. Giannakos,et al.  Using social media for work: Losing your time or improving your work? , 2014, Comput. Hum. Behav..

[66]  Paul A. Kirschner,et al.  Facebook® and academic performance , 2010, Comput. Hum. Behav..

[67]  Hamed Qahri Saremi,et al.  Problematic Use of Social Networking Sites: Antecedents and Consequence from a Dual-System Theory Perspective , 2016, J. Manag. Inf. Syst..

[68]  Reynol Junco,et al.  Too much face and not enough books: The relationship between multiple indices of Facebook use and academic performance , 2012, Comput. Hum. Behav..

[69]  A. Erez,et al.  The Role-Based Performance Scale: Validity Analysis of A Theory-Based Measure , 1998 .

[70]  Wilfred W. F. Lau,et al.  Effects of social media usage and social media multitasking on the academic performance of university students , 2017, Comput. Hum. Behav..

[71]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[72]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[73]  Patrick Gaudreau,et al.  Canadian university students in wireless classrooms: What do they do on their laptops and does it really matter? , 2014, Comput. Educ..

[74]  A. Bertrams,et al.  High-School Students' Need for Cognition, Self-Control Capacity, and School Achievement: Testing a Mediation Hypothesis. , 2009 .

[75]  Steven Eggermont,et al.  "I don't want to miss a thing": Adolescents' fear of missing out and its relationship to adolescents' social needs, Facebook use, and Facebook related stress , 2016, Comput. Hum. Behav..

[76]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[77]  Jon D. Elhai,et al.  Fear of missing out, need for touch, anxiety and depression are related to problematic smartphone use , 2016, Comput. Hum. Behav..

[78]  Camarin E. Rolle,et al.  Video game training enhances cognitive control in older adults , 2013, Nature.

[79]  J. Margraf,et al.  Comparing Facebook Users and Facebook Non-Users: Relationship between Personality Traits and Mental Health Variables – An Exploratory Study , 2016, PloS one.

[80]  Alexander Serenko,et al.  The benefits and dangers of enjoyment with social networking websites , 2012, Eur. J. Inf. Syst..

[81]  Faria Sana,et al.  Laptop multitasking hinders classroom learning for both users and nearby peers , 2013, Comput. Educ..

[82]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..