Linking Excessive SNS Use, Technological Friction, Strain, and Discontinuance: The Moderating Role of Guilt

References

• Ali-Hassan, H., Nevo, D., & Wade, M. (2015). Linking dimensions of social media use to job performance: The role of social capital. The Journal of Strategic Information Systems, 24(2), 65–89. doi:10.1016/j.jsis.2015.03.001
   Web of Science ®Google Scholar
• Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. Mis Quarterly, 35(4), 831–858. doi:10.2307/41409963
   Web of Science ®Google Scholar
• Bagozzi, R. P. (1986). Attitude formation under the theory of reasoned action and a purposeful behaviour reformulation. British Journal of Social Psychology, 25(2), 95–107. doi:10.1111/bjso.1986.25.issue-2
   Google Scholar
• Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122. doi:10.1037/0003-066X.37.2.122
   Web of Science ®Google Scholar
• Beaudry, A., & Pinsonneault, A. (2005). Understanding user responses to information technology: A coping model of user adaptation. Mis Quarterly, 29, 493–524. doi:10.2307/25148693
   Web of Science ®Google Scholar
• Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. Mis Quarterly, 25, 351–370. doi:10.2307/3250921
   Web of Science ®Google Scholar
• Bliese, P. D., & Britt, T. W. (2001). Social support, group consensus and stressor–strain relationships: Social context matters. Journal of Organizational Behavior, 22(4), 425–436. doi:10.1002/()1099-1379
   Web of Science ®Google Scholar
• Brandtzæg, P. B., & Heim, J. (2009). Why people use social networking sites. Paper presented at the International Conference on Online Communities and Social Computing.
   Google Scholar
• Brislin, R., Lonner, W., & Thorndike, R. (1973). Cross-cultural methods. New York, NY: Publication John Wiley and Sons.
   Google Scholar
• Cao, X., Masood, A., Luqman, A., & Ali, A. (2018). Excessive use of mobile social networking sites and poor academic performance: Antecedents and consequences from stressor-strain-outcome perspective. Computers in Human Behavior, 85, 163–174. doi:10.1016/j.chb.2018.03.023
   Web of Science ®Google Scholar
• Carbonell, X., Chamarro, A., Griffiths, M., Oberst, U., Cladellas, R., & Talarn, A. (2012). Problematic internet and cell phone use in spanish teenagers and young students. Anales de Psicología/Annals of Psychology, 28(3), 789–796.
   Web of Science ®Google Scholar
• Chin, W. W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), 7–16.
   Google Scholar
• Choi, J., Lee, H. J., & Kim, Y. C. (2011). The influence of social presence on customer intention to reuse online recommender systems: The roles of personalization and product type. International Journal of Electronic Commerce, 16(1), 129–154. doi:10.2753/JEC1086-4415160105
   Web of Science ®Google Scholar
• Choi, K., Son, H., Park, M., Han, J., Kim, K., Lee, B., & Gwak, H. (2009). Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry and Clinical Neurosciences, 63(4), 455–462. doi:10.1111/pcn.2009.63.issue-4
   PubMed Web of Science ®Google Scholar
• Cooper, A, Delmonico, D. L, & Burg, R. (2000). Cybersex users, abusers, and compulsives: new findings and implications. Abusers, and Compulsives: New Findings and Implications. Sexual Addiction & Compulsivity: The Journal Of Treatment and Prevention, 7(1-2), 5-29. doi:10.1080/10720160008400205
   Google Scholar
• Cooper, C. L., Dewe, P. J., & O’Driscoll, M. P. (2001). Organizational stress: A review and critique of theory, research, and applications. Sage.
   Google Scholar
• Curcio, G., Ferrara, M., & De Gennaro, L. (2006). Sleep loss, learning capacity and academic performance. Sleep Medicine Reviews, 10(5), 323–337. doi:10.1016/j.smrv.2005.11.001
   PubMed Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Mis Quarterly, 13, 319–340. doi:10.2307/249008
   Web of Science ®Google Scholar
• De Croon, E. M., Sluiter, J. K., Blonk, R. W., Broersen, J. P., & Frings-Dresen, M. H. (2004). Stressful work, psychological job strain, and turnover: A 2-year prospective cohort study of truck drivers. Journal of Applied Psychology, 89(3), 442. doi:10.1037/0021-9010.89.3.442
   PubMed Web of Science ®Google Scholar
• Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), 21–32.
   Web of Science ®Google Scholar
• Eppler, M. J., & Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines. The Information Society, 20(5), 325–344. doi:10.1080/01972240490507974
   Web of Science ®Google Scholar
• Gámez-Guadix, M, & Mateos-Pérez, E. (2019). Longitudinal and reciprocal relationships between sexting, online sexual solicitations, and cyberbullying among minors. Computers in Human Behavior, 94, 70-76. doi:10.1016/j.chb.2019.01.004
   Web of Science ®Google Scholar
• Gan, C., & Li, H. (2018). Understanding the effects of gratifications on the continuance intention to use wechat in China: A perspective on uses and gratifications. Computers in Human Behavior,78, 306-315.
   Web of Science ®Google Scholar
• Guo, J., Liu, Z., & Liu, Y. (2016). Key success factors for the launch of government social media platform: Identifying the formation mechanism of continuance intention. Computers in Human Behavior, 55(PB), 750–763. doi:10.1016/j.chb.2015.10.004
   Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. (2010). Multivariate data analysis (7th ed.). New York, NY: Pearson.
   Google Scholar
• Hall, J. H., & Fincham, F. D. (2005). Self–forgiveness: The stepchild of forgiveness research. Journal of Social and Clinical Psychology, 24(5), 621–637. doi:10.1521/jscp.2005.24.5.621
   Web of Science ®Google Scholar
• Higgins, E. T., Roney, C. J., Crowe, E., & Hymes, C. (1994). Ideal versus ought predilections for approach and avoidance distinct self-regulatory systems. Journal of Personality and Social Psychology, 66(2), 276. doi:10.1037/0022-3514.66.2.276
   PubMed Web of Science ®Google Scholar
• Hind, P. (1998). Captured by technology. CIO magazine, 9, 22–23.
   Google Scholar
• Hong, F.-Y., Chiu, S.-I., & Huang, D.-H. (2012). A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students. Computers in Human Behavior, 28(6), 2152–2159. doi:10.1016/j.chb.2012.06.020
   Web of Science ®Google Scholar
• Jones, Q., Ravid, G., & Rafaeli, S. (2004). Information overload and the message dynamics of online interaction spaces: A theoretical model and empirical exploration. Information Systems Research, 15(2), 194–210. doi:10.1287/isre.1040.0023
   Web of Science ®Google Scholar
• Krasnova, H., Spiekermann, S., Koroleva, K., & Hildebrand, T. (2010). Online social networks: Why we disclose. Journal of Information Technology, 25(2), 109–125. doi:10.1057/jit.2010.6
   Web of Science ®Google Scholar
• Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being? American Psychologist, 53(9), 1017. doi:10.1037/0003-066X.53.9.1017
   PubMed Web of Science ®Google Scholar
• Kwon, H. E., So, H., Han, S. P., & Oh, W. (2016). Excessive dependence on mobile social apps: A rational addiction perspective. Information Systems Research, 27(4), 919-939.
   Google Scholar
• Lanaj, K., Johnson, R. E., & Barnes, C. M. (2014). Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep. Organizational Behavior and Human Decision Processes, 124(1), 11–23. doi:10.1016/j.obhdp.2014.01.001
   Web of Science ®Google Scholar
• Lee, S.-J., & Chae, Y.-G. (2007). Children’s internet use in a family context: Influence on family relationships and parental mediation. CyberPsychology & Behavior, 10(5), 640–644. doi:10.1089/cpb.2007.9975
   PubMedGoogle Scholar
• Li, S.-M., & Chung, T.-M. (2006). Internet function and internet addictive behavior. Computers in Human Behavior, 22(6), 1067–1071. doi:10.1016/j.chb.2004.03.030
   Web of Science ®Google Scholar
• Lin, K. Y., & Lu, H. P. (2015). Predicting mobile social network acceptance based on mobile value and social influence. Internet Research, 25(1), 107–130. doi:10.1108/IntR-01-2014-0018
   Web of Science ®Google Scholar
• Lin, L.-H., Lin, W.-H., Chen, C.-Y., & Teng, Y.-F. (2010). Playfulness and innovation—A multilevel study in individuals and organizations. Paper presented at the Management of Innovation and Technology (ICMIT), 2010, IEEE International Conference on.
   Google Scholar
• Luqman, A., Cao, X., Ali, A., Masood, A., & Yu, L. (2017). Empirical investigation of facebook discontinues usage intentions based on SOR paradigm. Computers in Human Behavior, 70, 544–555. doi:10.1016/j.chb.2017.01.020
   Web of Science ®Google Scholar
• Luqman, A., Masood, A., & Ali, A. (2018). An SDT and TPB-based integrated approach to explore the role of autonomous and controlled motivations in “SNS discontinuance intention”. Computers in Human Behavior, 85, 298–307. doi:10.1016/j.chb.2018.04.016
   Web of Science ®Google Scholar
• Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2012). Online social networks as a source and symbol of stress: An empirical analysis. In proceedings of the 33rd International Conference on Information Systems (ICIS), Orlando (FL)
   Google Scholar
• Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2015). Giving too m.uch social support: Social overload on social networking sites. European Journal of Information Systems, 24(5), 447–464. doi:10.1057/ejis.2014.3
   Web of Science ®Google Scholar
• Maier, C., Laumer, S., Weinert, C., & Weitzel, T. (2015). The effects of technostress and switching stress on discontinued use of social networking services: A study of facebook use. Information Systems Journal, 25(3), 275–308. doi:10.1111/isj.12068
   Web of Science ®Google Scholar
• Manago, A. M., Taylor, T., & Greenfield, P. M. (2012). Me and my 400 friends: The anatomy of college students’ facebook networks, their communication patterns, and well-being. Developmental Psychology, 48(2), 369. doi:10.1037/a0026338
   PubMed Web of Science ®Google Scholar
• Mason, M. J., Zaharakis, N., & Benotsch, E. G. (2014). Social networks, substance use, and mental health in college students. Journal of American College Health, 62(7), 470–477. doi:10.1080/07448481.2014.923428
   PubMed Web of Science ®Google Scholar
• Mayer, J. D., Salovey, P., Caruso, D. R., & Sitarenios, G. (2001). Emotional intelligence as a standard intelligence.Emotion, 1, 232–242.
   Google Scholar
• Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. The MIT Press.
   Google Scholar
• Nie, N. H. (2001). Sociability, interpersonal relations, and the internet reconciling conflicting findings. American Behavioral Scientist, 45(3), 420–435. doi:10.1177/00027640121957277
   Web of Science ®Google Scholar
• Norman, P., Conner, M., & Bell, R. (1999). The theory of planned behavior and smoking cessation. Health Psychology, 18(1), 89. doi:10.1037/0278-6133.18.1.89
   PubMed Web of Science ®Google Scholar
• Ofcom, A. (2014). The communications market report 2014. https://www.ofcom.org.uk/research-and-data/multi-sector-research/cmr/cmr14
   Google Scholar
• Papacharissi, Z., & Mendelson, A. (2011). 12 Toward a new (er) sociability: Uses, gratifications and social capital on facebook. New York, NY: Routledge.
   Google Scholar
• Parboteeah, D. V., Valacich, J. S., & Wells, J. D. (2009). The influence of website characteristics on a consumer’s urge to buy impulsively. Information Systems Research, 20(1), 60–78. doi:10.1287/isre.1070.0157
   Web of Science ®Google Scholar
• Pea, R., Nass, C., Meheula, L., Rance, M., Kumar, A., Bamford, H., … Yang, S. (2012). Media use, face-to-face communication, media multitasking, and social well-being among 8-to 12-year-old girls. Developmental Psychology, 48(2), 327. doi:10.1037/a0027030
   PubMed Web of Science ®Google Scholar
• Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33. doi:10.1037/0022-0663.82.1.33
   Web of Science ®Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879. doi:10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569. doi:10.1146/annurev-psych-120710-100452
   PubMed Web of Science ®Google Scholar
• Potter-Efron, R. T., & Potter-Efron, P. (1989). Assessment of co-dependency with individuals from alcoholic and chemically dependent families. Alcoholism Treatment Quarterly, 6(1), 37–57. doi:10.1300/J020V06N01_04
   Google Scholar
• Quan-Haase, A., & Young, A. L. (2010). Uses and gratifications of social media: A comparison of facebook and instant messaging. Bulletin of Science, Technology & Society, 30(5), 350–361. doi:10.1177/0270467610380009
   Google Scholar
• Raacke, J., & Bonds-Raacke, J. (2008). MySpace and facebook: Applying the uses and gratifications theory to exploring friend-networking sites. CyberPsychology & Behavior, 11(2), 169–174. doi:10.1089/cpb.2007.0056
   PubMedGoogle Scholar
• Ragu-Nathan, T., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417–433. doi:10.1287/isre.1070.0165
   Web of Science ®Google Scholar
• Ravindran, T., Kuan, Y., Chua, A., & Hoe Lian, D. G. (2014). Antecedents and effects of social network fatigue. Journal of the Association for Information Science and Technology, 65(11), 2306–2320. doi:10.1002/asi.23122
   Web of Science ®Google Scholar
• Robert, D., & John, R. (1982). Store atmosphere: An environmental psychology approach. Journal of Retailing, 58(1), 34–57.
   Web of Science ®Google Scholar
• Salanova, M., Llorens, S., & Cifre, E. (2013). The dark side of technologies: Technostress among users of information and communication technologies. International Journal of Psychology, 48(3), 422–436. doi:10.1080/00207594.2012.680460
   PubMed Web of Science ®Google Scholar
• Shao, G. (2009). Understanding the appeal of user-generated media: A uses and gratification perspective. Internet Research, 19(1), 7–25. doi:10.1108/10662240910927795
   Web of Science ®Google Scholar
• Shochat, T., Flint‐Bretler, O., & Tzischinsky, O. (2010). Sleep patterns, electronic media exposure and daytime sleep‐related behaviours among Israeli adolescents. Acta Paediatrica, 99(9), 1396–1400. doi:10.1111/j.1651-2227.2010.01821.x
   PubMed Web of Science ®Google Scholar
• Soror, A. A, Hammer, B. I, Steelman, Z. R, Davis, F. D, & Limayem, M. M. (2015). Good habits gone bad: explaining negative consequences associated with the use of mobile phones from a dual‐systems perspective. Information Systems Journal, 25(4), 403-427.
   Web of Science ®Google Scholar
• Tarafdar, M., DArcy, J., Turel, O., & Gupta, A. (2015). The dark side of information technology. MIT Sloan Management Review, 56(2), 61.
   Web of Science ®Google Scholar
• Teigland, R., & Wasko, M. M. (2003). Integrating knowledge through information trading: Examining the relationship between boundary spanning communication and individual performance. Decision Sciences, 34(2), 261–286. doi:10.1111/deci.2003.34.issue-2
   Web of Science ®Google Scholar
• Thambusamy, R., & Salam, A. F. (2010). Corporate ecological Responsiveness, Environmental Ambidexterity and IT-Enabled Environmental sustainability Strategy. In ICIS (p. 191).
   Google Scholar
• Turel, O. (2015). Quitting the use of a habituated hedonic information system: A theoretical model and empirical examination of facebook users. European Journal of Information Systems, 24(4), 431–446. doi:10.1057/ejis.2014.19
   Web of Science ®Google Scholar
• Turel, O. (2016). Untangling the complex role of guilt in rational decisions to discontinue the use of a hedonic Information System. European Journal of Information Systems, 25(5), 432–447. doi:10.1057/s41303-016-0002-5
   Web of Science ®Google Scholar
• Turel, O., & Bechara, A. (2016). A triadic reflective-impulsive-interoceptive awareness model of general and impulsive information system use: Behavioral tests of neuro-cognitive theory. Frontiers in Psychology, 7. doi:10.3389/fpsyg.2016.00601
   Web of Science ®Google Scholar
• Turel, O., & Qahri-Saremi, H. (2016). Problematic use of social networking sites: Antecedents and consequence from a dual-system theory perspective. Journal of Management Information Systems, 33(4), 1087–1116. doi:10.1080/07421222.2016.1267529
   Web of Science ®Google Scholar
• Turel, O, & Qahri-Saremi, H. (2016a). Problematic use of social networking sites: antecedents and consequence from a dual-system theory perspective. Journal Of Management Information Systems, 33(4), 1087-1116. doi:10.1080/07421222.2016.1267529
   Web of Science ®Google Scholar
• Turel, O., & Serenko, A. (2012). The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, 21(5), 512–528. doi:10.1057/ejis.2012.1
   Web of Science ®Google Scholar
• Turel, O., Serenko, A., & Bontis, N. (2011). Family and work-related consequences of addiction to organizational pervasive technologies. Information & Management, 48(2–3), 88–95. doi:10.1016/j.im.2011.01.004
   Web of Science ®Google Scholar
• Turel, O., Serenko, A., & Giles, P. (2011). Integrating technology addiction and use: An empirical investigation of online auction users. Mis Quarterly, 35(4), 1043–1062. doi:10.2307/41409972
   Web of Science ®Google Scholar
• Van den Bulck, J. (2004). Television viewing, computer game playing, and internet use and self-reported time to bed and time out of bed in secondary-school children. Sleep-new York Then Westchester-, 27(1), 101–104.
   Google Scholar
• Van der Heijden, H. (2004). User acceptance of hedonic information systems. Mis Quarterly, 28, 695–704. doi:10.2307/25148660
   Web of Science ®Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Mis Quarterly, 27, 425–478. doi:10.2307/30036540
   Web of Science ®Google Scholar
• Wan, J., Lu, Y., Wang, B., & Zhao, L. (2017). How attachment influences users’ willingness to donate to content creators in social media: A socio-technical systems perspective. Information & Management, 54(7), 837-850.
   Web of Science ®Google Scholar
• Wang, X. (2011). The role of anticipated guilt in intentions to register as organ donors and to discuss organ donation with family. Health Communication, 26(8), 683–690. doi:10.1080/10410236.2011.563350
   PubMed Web of Science ®Google Scholar
• Watson, D., & Clark, L. A. (1999). The PANAS-X: Manual for the positive and negative affect schedule-expanded form.
   Google Scholar
• Whiting, A., & Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362–369. doi:10.1108/QMR-06-2013-0041
   Google Scholar
• Wright, T. A., & Cropanzano, R. (1998). Emotional exhaustion as a predictor of job performance and voluntary turnover. Journal of Applied Psychology, 83(3), 486. doi:10.1037/0021-9010.83.3.486
   PubMed Web of Science ®Google Scholar
• Wurman, R. S. (1989). Information anxiety : What to do When Information Doesn't Tell You What You Need To Know. New York.
   Google Scholar
• Xanidis, N., & Brignell, C. M. (2016). The association between the use of social network sites, sleep quality and cognitive function during the day. Computers in Human Behavior, 55, 121–126. doi:10.1016/j.chb.2015.09.004
   Web of Science ®Google Scholar
• Yao, J., & Cao, X. (2017). The balancing mechanism of social networking overuse and rational usage. Computers in Human Behavior, 75, 415–422. doi:10.1016/j.chb.2017.04.055
   Web of Science ®Google Scholar
• Zhang, H., Gupta, S., Gupta, S., & Zhao, L. (2014). What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences. Information & Management, 51(8), 1017–1030. doi:10.1016/j.im.2014.07.005
   Web of Science ®Google Scholar
• Zhang, S., Zhao, L., Lu, Y., & Yang, J. (2016). Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services. Information & Management, 53(7), 904–914. doi:10.1016/j.im.2016.03.006
   Web of Science ®Google Scholar
• Zheng, X., & Lee, M. K. (2016). Excessive use of mobile social networking sites: Negative consequences on individuals. Computers in Human Behavior, 65, 65–76. doi:10.1016/j.chb.2016.08.011
   Web of Science ®Google Scholar