한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제22권4호
  • /
  • Pages.91-97
  • /
  • 2017
  • /
  • 1598-849X(pISSN)
  • /
  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Effects of Mobile Messenger on the Effect of Youth on Teenagers

  • Seo, Gang-Hun (Dept. of Social Welfare at the College of Chosun)
  • 투고 : 2017.03.23
  • 심사 : 2017.04.18
  • 발행 : 2017.04.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, we propose a Recently, the use of Smart phones surge in youth the youth are becoming a big addiction social problems Mobile Messenger. The prevalence of Smart phones is Mobile Messenger, access time, spatial constraints for assured. As a result, pc room, with a focus on traditional Internet addiction is to be reduced, whereas with a focus on Mobile Messenger Smartphone addiction level is rapidly on the rise. Korea information agency of Internet addiction and mobile addiction risk appeared to be well over 10 percent of the rate of 35% is gaming and mobile addiction unfolds exemplifies the seriousness of Messenger. Addiction is the individual's psychosocial problems such as negative consequences can result, causing the addiction, because it is necessary for an understanding of the mechanism. In this study, Mobile Messenger, the leading factors affecting the addiction said. Mobile Messenger is a major factor causing the addiction habit and consider the user's satisfaction. And social relations and the formation of plougastel Wu Mobile Messenger and its impact on the cause of addiction.

키워드

참고문헌

  1. Y. Lu, K. K. Wei and J. Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China International Journal of Information Management, vol. 30, no. 4, pp. 289-300, March 2010. https://doi.org/10.1016/j.ijinfomgt.2009.10.001
  2. T. Zhou and Y. Lu, Examining mobile instant messaging user loyalty from perspectives of network externalities and flow experience. Computers in Human Behavior, Vol. 27, No.2, pp.883-889, June 2011. https://doi.org/10.1016/j.chb.2010.11.013
  3. F. D. Davis, Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, Vol 13, No.3, pp. 319-340, September 1989 https://doi.org/10.2307/249008
  4. F. D. Davis, R. P. Bagozzi, and P. R. Warashqw, Extrinsic and intrinsic motivation to user computers in the workplace. journal of Applied Social Psychology, Vol.22, No. 14, pp. 1111-1132, June 1992. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  5. W. H. DeLone and E. R. McLean The DELone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, vol. 19, No. 4, pp.9-30, June 2003. https://doi.org/10.1080/07421222.2003.11045748
  6. A Bhattacherjee, understanding information systems continuance: Am expectation - confirmation model. MIS Quarterly, Vol.25 No. 3, pp 351-370, December 2001.
  7. O. Turel, Q. Serenko and P. Giles Integrating technology addiction and use: An empirical investigation of online auction users. MIS Quarterly, Vol. 35, No. 4, pp. 1043-1061, March 2011. https://doi.org/10.2307/41409972
  8. O. Turel, Q. Serenko, The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, Vol. 21, No. 5, pp. 512-528, September 2012. https://doi.org/10.1057/ejis.2012.1
  9. J. Y. Lee and P. S. Jang, an empirical study on e-learning participation affected by flow experience and internet addiction The Journal of Digital Policy & Management, Vol. 11, No.7 pp. 225-260, March 2013.
  10. P. S. Jang Effect of flow experience, self-directed learning readiness and internet addiction on academic achievement in web-based computer education. Vol. 10, No. 1, pp. 293-300, March 2012. https://doi.org/10.14400/JDPM.2012.10.1.293
  11. S. R. Lee, A study on the differences of mental health and media use according to he addiction of communication media. The Journal of Digotal Policy & Management, Vol. 11, No, 7,pp. 255-260, June 2013.
  12. M. Limayem, S. G. Hirt and C. M. K. Cheung, How habit limits the predictive power of intention: The case of information ststems continuance. MIS Quarterly, Vol. 31, No. 4, pp. 705-738, June 2007. https://doi.org/10.2307/25148817
  13. S. Y. Lam, V. Shankar, M. K. Erramilli and B. Murthy, Customer value, satisfaction, Loyalty, and switching costs: An illustration from a business-to-business service, Vol. 32, No. 3, pp.293-311, March 2004 https://doi.org/10.1177/0092070304263330
  14. M. Koufaris, Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, Vol. 13, No. 2, pp.205-223, December 2002 https://doi.org/10.1287/isre.13.2.205.83
  15. S. C. Yang and C. J. Tung, Comparison of internet addicts and non-addicts in Taiwanese high schools. computers in Human Behavior, Vol. 23, No. 1, pp.79-96, June 2007. https://doi.org/10.1016/j.chb.2004.03.037
  16. H. C. Triandis, Attitude and attitude change. new york, NY, USA: John Wiley & Sons, March 1971
  17. B. Kim, The diffusion of mobile data services and applications: exploring the role of habit and its antecedents. Telecommunications Policy, Vol. 36, No. 1, pp. 69-81, December 2016. https://doi.org/10.1016/j.telpol.2011.11.011
  18. N. K. Lankton, E. V. Wilson and E. Mao. Antecedents and determinants of information technology habit. Information and Management, Vol. 47, No. 5-6, pp. 300-307, March 2010. https://doi.org/10.1016/j.im.2010.06.004
  19. C. S. Wan and W. B. Chiou, Psycholgical motives and online games addiction: A test of flow theory and humanistic needs Theory for Taiwanese adolescents. CyberPsychology & Behavior. Vol. 9, No. 3, pp. 3317-324, March 2006.
  20. N. B. Park and S. A. Jin, Effects of self-disclosure on relational intimacy in Facebook. computers in Human Behavior, Vol. 27, No. 5, pp.1974-1983, June 2011. https://doi.org/10.1016/j.chb.2011.05.004
  21. K. M. Sheldon, N. Abad and C. Hinsch, A two-process view of Facebook use and relatedness need-satisfaction: Disconnection drives use, and connection rewards it. Journal of personality and social Psychology, Vol. 100, No. 4, pp.766-775, December 2011. https://doi.org/10.1037/a0022407
  22. M. Csikszentmihalyi, Play and intrinsic rewards. Journal of Humanistic Psychology, Vol. 15, No. 3, pp.44-63, September 1975.
  23. C. L. Hsu and H. P. Lu, Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, Vol. 41, No. 7, pp.853-868, December 2004. https://doi.org/10.1016/j.im.2003.08.014
  24. J. Hair, R. Anderson and R. B. Tatham, Multivariate data analysis Upper Saddle River: Prentice Hall, June 1998.
  25. West, S. G. Finch, J. F, and Curran, P. J Structural equation models Structural equation modeling Concepts, issues, and applications pp.56-75 June 2016.
  26. Willams, G. C. Grow, V. M. Freedman, Z. R. Ryan, R. M. and Deci, E. L. Motivational Predictors of weight loss and weight-loss maintenance Journal of Personality and Social Psychology, September 2014.
  27. Yalom, I. D. Existential Psychotherapy, New York:Basic Books. March 2015.
  28. Zika, S. and Chamberlain, K. On the relation between meaning in life and psychological well-being Britsh Journal of psychology, 83, pp.133-145 December 2016