Effects of social network services (SNS) subjective norms on SNS addiction

References

• Ajzen, I. (1988). Attitudes, Personality, and Behaviour. New York: Open University Press.
   Google Scholar
• Ajzen, I., & Fishbein, M. (1973). Attitudinal and normative variables as predictors of specific behaviours. Journal of Personality and Social Psychology, 27(1), 41–57.
   Web of Science ®Google Scholar
• Andreassen, C. S. (2015). Online social network site addiction: A comprehensive review. Current Addiction Reports, 2(2), 175–184.
   Google Scholar
• Aronson, E. (2003). Readings about the social animal. Stuttgart, Germany: Macmillan.
   Google Scholar
• Bae, J. W., & Park, C. Y. (2015). Influence of user-motivation on user-commitment in social media: Moderating effects of social pressure. Journal of the Korea Contents Association, 15(1), 462–474. Retrieved from http://www.riss.kr/link?id=A100280411
   Google Scholar
• Baek, Y. M., Cho, Y., & Kim, H. (2014). Attachment style and its influence on the activities, motives, and consequences of SNS use. Journal of Broadcasting & Electronic Media, 58(4), 522–541.
   Web of Science ®Google Scholar
• Barnes, S. J. (2011). Understanding use continuance in virtual worlds: Empirical test of a research model. Information & Management, 48(8), 313–319.
   Web of Science ®Google Scholar
• Bhatti, T. (2007). Exploring factors influencing the adoption of mobile commerce. Journal of Internet Banking and Commerce, 12(3), 1–13.
   Google Scholar
• Borrero, J. D., Yousafzai, S. Y., Javed, U., & Page, K. L. (2014). Expressive participation in internet social movements: Testing the moderating effect of technology readiness and sex on student SNS use. Computers in Human Behaviour, 30, 39–49.
   Web of Science ®Google Scholar
• Brown, J., Broderick, A. J., & Lee, N. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3), 2–20.
   Web of Science ®Google Scholar
• Brown, S. A., Dennis, A. R., & Venkatesh, V. (2010). Predicting collaboration technology use: Integrating technology adoption and collaboration research. Journal of Management Information Systems, 27(2), 9–54.
   Web of Science ®Google Scholar
• Bryant, E. M., & Marmo, J. (2012). The rules of Facebook friendship: A two-stage examination of interaction rules in close, casual, and acquaintance friendships. Journal of Social and Personal Relationships, 29(8), 1013–1035.
   Web of Science ®Google Scholar
• Chae, H., Ko, E., & Han, J. (2015). How do customers’ SNS participation activities impact on customer equity drivers and customer loyalty? Focus on the SNS services of a global SPA brand. Journal of Global Scholars of Marketing Science, 25(2), 122–141. https://www.tandfonline.com/doi/full/10.1080/21639159.2015.1012809
   Web of Science ®Google Scholar
• Choi, G., & Chung, H. (2013). Applying the technology acceptance model to social networking sites (SNS): Impact of subjective norm and social capital on the acceptance of SNS. International Journal of Human-Computer Interaction, 29(10), 619–628.
   Web of Science ®Google Scholar
• Church, E. M., & Passarello, S. (2016). “You can’t help but like it”: An investigation of mandatory endorsement solicitation and gating practices in online social networks. Asia Pacific Journal of Information Systems, 26(1), 124–142. http://doi.org/10.14329/apjis.2016.26.1.124
   Google Scholar
• Das, B., & Sahoo, J. S. (2011). Social networking sites-A critical analysis of its impact on personal and social life. International Journal of Business and Social Science, 2(14), 222–228.
   Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.
   Web of Science ®Google Scholar
• Echeburúa, E., & de Corral, P. (2009). Addiction to new technologies and to online social networking in young people: A new challenge. Adicciones, 22(2), 91–95.
   Web of Science ®Google Scholar
• Gao, Q., Rau, P. L. P., & Salvendy, G. (2010). Measuring perceived interactivity of mobile advertisements. Behaviour & Information Technology, 29(1), 35–44.
   Web of Science ®Google Scholar
• Greitemeyer, T., & Kunz, I. (2013). Name-valence and physical attractiveness in Facebook: Their compensatory effects on friendship acceptance. The Journal of Social Psychology, 153(3), 257–260.
   PubMed Web of Science ®Google Scholar
• Ha, L., & James, E. L. (1998). Interactivity reexamined: A baseline analysis of early business web sites. Journal of Broadcasting & Electronic Media, 42(4), 457–474.
   Web of Science ®Google Scholar
• Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139–152.
   Google Scholar
• Han, S. Y., Choi, M. H., Park, M. K., & Lee, H. J. (2013). The effect of SNS use on the social network: Moderating effect of the gender. Jeongbo Gwan’ri Hag’hoeji, 30(3), 133–156. Retrieved from http://www.riss.kr/link?id=A104380005
   Google Scholar
• Hormes, J. M., Kearns, B., & Timko, C. A. (2014). Craving Facebook? Behavioural addiction to online social networking and its association with emotion regulation deficits. Addiction (Abingdon, England), 109(12), 2079–2088.
   PubMed Web of Science ®Google Scholar
• Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012). A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Computers in Human Behaviour, 28(2), 561–569.
   Web of Science ®Google Scholar
• Jang, Y. J., Lee, S. H., & Kim, H. W. (2013). Examining the impact of online friendship desire on citizenship behaviour. Asia Pacific Journal of Information Systems, 23(4), 29–51. http://www.riss.kr/link?id=A99908263
   Google Scholar
• Jung, S. Y., & Kim, J. N. (2014). Development and validation of SNS addiction proneness scale for college students. Han’gug Simlihag Hoeji. Geon’gang, 19(1), 147–166. Retrieved from http://www.riss.kr/link?id=A100632276
   Google Scholar
• Kang, I., Shin, M. M., & Park, C. (2013). Internet addiction as a manageable resource: A focus on social network services. Online Information Review, 37(1), 28–41.
   Web of Science ®Google Scholar
• Kim, B. G. (2012). Factors affecting the characteristics of SNS on user satisfaction and intention. Journal of Information Technology Applications and Management, 19(4), 213–225. Retrieved from http://www.riss.kr/link?id=A99553386
   Google Scholar
• Kim, B., Choi, M., & Han, I. (2009). User behaviours toward mobile data services: The role of perceived fee and prior experience. Expert Systems with Applications, 36(4), 8528–8536.
   Web of Science ®Google Scholar
• Kim, J. U., Park, S. C., & Jeon, D. Y. (2015). An empirical investigation on factors influencing SNS addiction. Journal of Digital Convergence, 13(12), 179–185. Retrieved from http://www.riss.kr/link?id=A101692982
   Google Scholar
• Kim, J., & Lee, J. E. R. (2011a). The Facebook paths to happiness: Effects of the number of Facebook friends and self-presentation on subjective well-being. Cyberpsychology, Behaviour, and Social Networking, 14(6), 359–364.
   PubMed Web of Science ®Google Scholar
• Kim, K. B., Kim, M. H., & Choi, S. J. (2001). Effects of emotional loneliness and internet efficacy on on-line communication and activity. Korean Journal of Woman Psychology, 6(6), 39–57. Retrieved from http://www.riss.kr/link?id=A100632707
   Google Scholar
• Kim, M. J., & Lee, D. J. (2012). The role of digital fatigue and flow in SNS usage. The e-Business Studies, 13(1), 67–87. http://www.riss.kr/link?id=A99588129
   Google Scholar
• Kim, N. L., & Lee, S. B. (2011b). The effect of public lifestyle on motivation and behaviour using social media. Korean Journal of Advertising and Public Relations, 13(2), 306–341. Retrieved from http://www.riss.kr/link?id=A100196487
   Google Scholar
• Kim, S. H. (2010). Effects of perceived attributes on the purchase intention of smart-phone. Journal of the Korea Contents Association, 10(9), 318–326. Retrieved from http://www.riss.kr/link?id=A82415836
   Google Scholar
• Koh, E. Y., Choi, Y. Y., Choi, M. Y., Park, S. H., & Seo, Y. S. (2014). The relationships among loneliness, interpersonal sensitivity, and Facebook addiction. Han’guk Sangdam Simni Chiryo Hakoeji, 26(3), 713–736. Retrieved from http://www.riss.kr/link?id=A100630797
   Google Scholar
• Kuss, D. J., & Griffiths, M. D. (2011). Online social networking and addiction—A review of the psychological literature. International Journal of Environmental Research and Public Health, 8(9), 3528–3552.
   PubMed Web of Science ®Google Scholar
• Kwak, H. E., Kim, J. H., Kim, S. Y., Jung, J. E., & Choi, H. J. (2019). Korean dance performance influences on prospective tourist cultural products consumption and behaviour intention. Journal of Psychology in Africa, 29(3), 230–236.
   Web of Science ®Google Scholar
• Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behaviour, 55, 51–61.
   Web of Science ®Google Scholar
• Lee, B. H., Yi, S. K., Han, S. L., & Lee, S. H. (2013). Exploratory study of underlying dimensions of use motive in social media and marketing implications. Korea Marketing Review, 28(2), 87–108. http://www.riss.kr/link?id=A100089687
   Google Scholar
• Lee, H. J., Choi, M. K., & Park, M. K. (2012). The effects of self-efficacy and user’s cognitive factors on reuse intention of SNS. Jeongbo Gwan’ri Hag’hoeji, 29(3), 145–167. Retrieved from http://www.riss.kr/link?id=A104367366
   Google Scholar
• Lee, S. H. (2014). The relation of addiction and sustainable use of social media service. Journal of Digital Convergence, 12(1), 273–280. Retrieved from http://www.riss.kr/link?id=A99909478
   Google Scholar
• Lu, L., Sun, Z. J., & Lee, J. H. (2013). Factors affecting the continuous intention of using the mobile messenger application: Focused on KakaoTalk. Korean Business Education Review, 28(3), 439–458. http://www.riss.kr/link?id=A99940351
   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.
   Web of Science ®Google Scholar
• Moreno, M. A., Jelenchick, L. A., Egan, K. G., Cox, E., Young, H., Gannon, K. E., & Becker, T. (2011). Feeling bad on Facebook: Depression disclosures by college students on a social networking site. Depression and Anxiety, 28(6), 447–455.
   PubMed Web of Science ®Google Scholar
• Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Explaining intention to use mobile chat services: Moderating effects of gender. Journal of Consumer Marketing, 22(5), 247–256.
   Google Scholar
• Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017). Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out. Journal of Adolescence, 55, 51–60.
   PubMed Web of Science ®Google Scholar
• Oh, Y. K. (2012). A study on the influence of SNS addiction tendency on loneliness, depression, interpersonal relationship and social support (Unpublished Master’s Thesis). Korea Counseling University, Seoul, Korea. http://www.riss.kr/link?id=T12635349
   Google Scholar
• Park, C. U., Kim, S. J., & Lee, S. B. (2013). I use SNS, because you use SNS? The effect of social conformity on social network service stickiness. Journal of Information Technology Services, 12(4), 25–40. Retrieved from http://www.riss.kr/link?id=A99915873
   Google Scholar
• Park, S. J., Kwon, M. A., Baek, M. J., & Han, N. R. (2014). Relation between smartphone addiction and interpersonal competence of college students using social network service. Journal of the Korea Contents Association, 14(5), 289–297. Retrieved from http://www.riss.kr/link?id=A100015252
   Google Scholar
• Peslak, A., Ceccucci, W., & Sendall, P. (2012). An empirical study of social networking behaviour using theory of reasoned action. Journal of Information Systems Applied Research, 5(3), 12–23.
   Google Scholar
• Seder, J. P., & Oishi, S. (2009). Ethnic/racial homogeneity in college students’ Facebook friendship networks and subjective well-being. Journal of Research in Personality, 43(3), 438–443.
   Web of Science ®Google Scholar
• Sheeran, P., Norman, P., & Orbell, S. (1999). Evidence that intentions based on attitudes better predict behaviour than intentions based on subjective norms. European Journal of Social Psychology, 29(23), 403–406.
   Google Scholar
• Shin, H. S. (2010). Moderating effects of personal innovativeness on the relationship between perceived usefulness, subjective norm and intention to use mobile internet. Journal of Information Systems, 19(3), 209–236. Retrieved from http://www.riss.kr/link?id=A82765755
   Google Scholar
• Sim, S. H., & Moon, J. Y. (2012). A study on mobile SNS attributes effects on information share, relationship formation, and user satisfaction. Journal of the Korean Society for Quality Management, 40(1), 60–72. Retrieved from http://www.riss.kr/link?id=A60041975
   Google Scholar
• Turel, O., Serenko, A., & Bontis, N. (2010). User acceptance of hedonic digital artifacts: A theory of consumption values perspective. Information & Management, 47(1), 53–59.
   Web of Science ®Google Scholar
• Van der Heijden, H. (2004). User acceptance of hedonic information systems. Management Information Systems Quarterly, 28(4), 695–704.
   Web of Science ®Google Scholar
• Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behaviour. Management Information Systems Quarterly, 24(1), 115–139.
   Web of Science ®Google Scholar
• Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. Management Information Systems Quarterly, 36(1), 157–178.
   Web of Science ®Google Scholar
• Wallace, E., Buil, I., & De Chernatony, L. (2012). Facebook ‘friendship’and brand advocacy. Journal of Brand Management, 20(2), 128–146.
   Google Scholar
• Whang, L. S. M., Lee, S., & Chang, G. (2003). Internet over-users’ psychological profiles: A behaviour sampling analysis on internet addiction. Cyberpsychology & Behaviour, 6(2), 143–150.
   PubMedGoogle Scholar
• Wong, K. K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1–32.
   Web of Science ®Google Scholar
• Wu, A. M., Cheung, V. I., Ku, L., & Hung, E. P. (2013). Psychological risk factors of addiction to social networking sites among Chinese smartphone users. Journal of Behavioural Addictions, 2(3), 160–166.
   PubMed Web of Science ®Google Scholar
• Yoo, W., Choi, D. H., & Park, K. (2016). The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioural intentions in South Korea. Computers in Human Behaviour, 62, 34–43.
   PubMed Web of Science ®Google Scholar
• Young, K. S. (1999). Internet addiction: Symptoms, evaluation, and treatment innovations in clinical practice (Vol. 17). In L. VandeCreek, & T. L. Jackson (Eds.), A Source Book (pp. 19–31). Sarasota, FL: Professional Resource Press.
   Google Scholar
• Zhou, T., Li, H., & Liu, Y. (2010). The effect of flow experience on mobile SNS users’ loyalty. Industrial Management & Data Systems, 110(6), 930–946.
   Web of Science ®Google Scholar
• Zhuang, W., Hsu, M. K., Brewer, K. L., & Xiao, Q. (2012). Paradoxes of social networking sites: An empirical analysis. Management Research Review, 36(1), 33–49.
   Google Scholar