Negative Impact of Social Network Services Based on Stressor-Stress-Outcome: The Role of Experience of Privacy Violations

Social network service (SNS) information has benefited many individuals. However, as such information has increased exponentially, the number of SNS users has increased dramatically and negative effects of SNSs on users have emerged. Many SNS users experience negative psychological conditions such as fatigue, burnout, and stress. Thus, in this study, we investigated the SNS and user characteristics that affect SNS fatigue, living disorder, and reduced SNS use intention. We developed a research model to examine the impact of two SNS characteristics (irrelevant information overload and open reachability) and two user characteristics (engagement and maintaining self-reputation) on SNS fatigue. We also examined the role of the experience of privacy violations in the relationship between living disorder and reduced SNS use intention. We collected data from 579 SNS users and created a partial least squares structural equation model to test the hypotheses. The results of the analysis showed that three factors, other than open reachability, positively affected SNS fatigue. Furthermore, we found that SNS fatigue significantly affected living disorder and reduced SNS use intention, and that experience of privacy violations significantly affected the relationship between living disorder and reduced SNS use intention. These results expand our understanding of SNS fatigue and users’ negative behaviors.

[1]  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..

[2]  Yusuf Levent Şahin,et al.  Social networking users’ views on technology and the determination of technostress levels☆ , 2009 .

[3]  Chun-Tuan Chang,et al.  The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress , 2014, Comput. Hum. Behav..

[4]  Sharon Nielsen,et al.  Self-disclosure on Facebook among female users and its relationship to feelings of loneliness , 2014, Comput. Hum. Behav..

[5]  Traci Carte,et al.  In Pursuit of Moderation: Nine Common Errors and Their Solutions , 2003, MIS Q..

[6]  Varun Grover,et al.  Technostress: Technological Antecedents and Implications , 2011, MIS Q..

[7]  Joseph F. Hair,et al.  Partial Least Squares Structural Equation Modeling , 2021, Handbook of Market Research.

[8]  Sang Hyun Kim,et al.  Moderating effects of Job Relevance and Experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals , 2008, Inf. Manag..

[9]  Hyunsun Park,et al.  Effects of various characteristics of social commerce (s-commerce) on consumers' trust and trust performance , 2013, Int. J. Inf. Manag..

[10]  Hsi-Peng Lu,et al.  Why people use social networking sites: An empirical study integrating network externalities and motivation theory , 2011, Comput. Hum. Behav..

[11]  Norshidah Mohamed,et al.  Information privacy concerns, antecedents and privacy measure use in social networking sites: Evidence from Malaysia , 2012, Comput. Hum. Behav..

[12]  Monideepa Tarafdar,et al.  Impact of Technostress on End-User Satisfaction and Performance , 2010, J. Manag. Inf. Syst..

[13]  Eoin Whelan,et al.  Cognitive control and Social Media Overload , 2017, AMCIS.

[14]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[15]  Petter Bae Brandtzæg,et al.  Social Networking Sites: Their Users and Social Implications - A Longitudinal Study , 2012, J. Comput. Mediat. Commun..

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

[17]  LeeAe Ri,et al.  Information and communication technology overload and social networking service fatigue , 2016 .

[18]  A. Kaplan,et al.  Users of the world, unite! The challenges and opportunities of Social Media , 2010 .

[19]  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..

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

[21]  Tao Zhou,et al.  Understanding mobile SNS continuance usage in China from the perspectives of social influence and privacy concern , 2014, Comput. Hum. Behav..

[22]  Robert LaRose,et al.  Effects of loneliness and differential usage of Facebook on college adjustment of first-year students , 2014, Comput. Educ..

[23]  Craig Brod,et al.  Technostress: The Human Cost Of The Computer Revolution , 1984 .

[24]  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.

[25]  José Ramón Saura,et al.  Understanding the Digital Marketing Environment with KPIs and Web Analytics , 2017, Future Internet.

[26]  Dennis L. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments : Conceptual Foundations 1 ) , 1998 .

[27]  Amandeep Dhir,et al.  Understanding the relationship between intensity and gratifications of Facebook use among adolescents and young adults , 2017, Telematics Informatics.

[28]  Mohammad Salehan,et al.  Social networking on smartphones: When mobile phones become addictive , 2013, Comput. Hum. Behav..

[29]  Inwon Kang,et al.  Internet addiction as a manageable resource: a focus on social network services , 2013, Online Inf. Rev..

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

[31]  D. Karaiskos,et al.  P02-232 - Social Network Addiction : a New Clinical Disorder? , 2010, European Psychiatry.

[32]  Sanghyun Kim,et al.  A Study on the Stress of Social Network Service and Using Reluctant Intention , 2015 .

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

[34]  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..

[35]  Chao Wen,et al.  It is not for fun: An examination of social network site usage , 2012, Inf. Manag..

[36]  Thompson S. H. Teo,et al.  Intrinsic and extrinsic motivation in Internet usage , 1999 .

[37]  Qiang Tu,et al.  Technostress under different organizational environments: An empirical investigation , 2008, Comput. Hum. Behav..

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

[39]  Whitney P. Special,et al.  Self-disclosure and student satisfaction with Facebook , 2012, Comput. Hum. Behav..

[40]  Yi-Cheng Ku,et al.  Gratifications for using CMC technologies: A comparison among SNS, IM, and e-mail , 2013, Comput. Hum. Behav..

[41]  Gary Garrison,et al.  Investigating mobile wireless technology adoption: An extension of the technology acceptance model , 2009, Inf. Syst. Frontiers.

[42]  Se yoon Lee,et al.  Hedonic or Utilitarian : Why People Keep Using Social Network Services , 2015 .

[43]  Naresh K. Malhotra,et al.  Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research , 2006, Manag. Sci..

[44]  Jennifer L. Bevan,et al.  Disclosures about important life events on Facebook: Relationships with stress and quality of life , 2014, Comput. Hum. Behav..

[45]  T. Yamakami Towards understanding SNS fatigue: exploration of social experience in the Virtual World , 2012, 2012 7th International Conference on Computing and Convergence Technology (ICCCT).

[46]  Tamara Dinev,et al.  Internet privacy concerns and their antecedents - measurement validity and a regression model , 2004, Behav. Inf. Technol..

[47]  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..

[48]  Nick Bontis,et al.  Family and work-related consequences of addiction to organizational pervasive technologies , 2011, Inf. Manag..

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

[50]  Ahmet Naci Çoklar,et al.  Technostress Levels of Social Network Users Based on ICTs in Turkey , 2011 .

[51]  D. Hoffman,et al.  How to acquire customers on the Web. , 2000, Harvard business review.

[52]  M. Griffiths,et al.  Online Social Networking and Addiction—A Review of the Psychological Literature , 2011, International journal of environmental research and public health.