디지털융복합연구 (Journal of Digital Convergence)

  • 제12권3호
  • /
  • Pages.95-103
  • /
  • 2014
  • /
  • 2713-6434(pISSN)
  • /
  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
권호 표지
DOI QR코드

DOI QR Code

모바일 메신저 중독에 영향을 미치는 선행 요인에 관한 연구

A Study on Antecedents of User Addiction in Mobile Messenger Services

  • 김병수 (서울여자대학교 경영학과)
  • Kim, Byoungsoo (Dept. of Business Administration, Seoul Women's University)
  • 투고 : 2013.12.16
  • 심사 : 2014.03.20
  • 발행 : 2014.03.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

최근 게임, 모바일 메신저 등 정보 시스템을 과잉적으로 사용하는 중독에 대해 많은 관심이 집중되고 있다. 기술 중독은 개인의 건강, 사회적 단절과 같은 부정적인 결과를 야기할 수 있기 때문에, 기술 중독을 일으키는 매커니즘에 대한 이해가 필요하다. 그래서 본 연구에서는 모바일 메신저 중독에 영향을 미치는 선행 요인들을 밝히고자 한다. 모바일 메신저 중독을 유발하는 주요 요인으로 습관과 사용자 만족을 고려하였다. 그리고 사회적 관계 형성과 플로우가 모바일 메신저 중독 유발에 미치는 영향을 살펴보았다. 6개월 이상 카카오톡을 사용한 278명을 대상으로 했으며, SPSS를 통해 제안한 연구 모형을 분석하였다. 연구 분석 결과에서 모바일 메신저 습관은 중독에 유의적인 영향을 미쳤지만 사용자 만족은 중독에 유의한 영향을 미치지 못했다. 또한, 사회적 관계 형성과 플로우는 모바일 메신저 습관 형성에 핵심적인 역할을 담당하였다. 본 연구 분석 결과를 바탕으로 정부 및 제공업체들은 사용자들의 올바른 사용 습관을 형성하여 중독을 예방할 수 있도록 정책 및 전략을 수립할 수 있을 것으로 기대한다.

Given social problems of technology addiction such as games and mobile messenger services (MMSs), it have become important to understand theoretical mechanisms to generate technology addiction. In this vein, this study examined key antecedents of technology addiction in the MMS environment. We posit technology habit and user satisfaction as key predictors of technology addiction. In addition, the impacts of social interaction and flow on use's technology addition formation were investigated The research framework was tested by using survey data collected from 278 Kakaotalk users who have used more than 6 months. The analysis results found that both technology habit and user satisfaction play an important role in generating technology addiction in the MMS context. The findings of this study indicate that social interaction and flow significantly affects technology habit and user satisfaction. The analysis results help government and MMS providers establish policies or strategies to induce healthy MMS use.

키워드

참고문헌

  1. Y. Lu, K. K. Wei and J. Zhang, 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, 2010. https://doi.org/10.1016/j.ijinfomgt.2009.10.001
  2. T. Zhou and Y. Lu, Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience. Computers in Human Behavior, Vol. 27, No. 2, pp. 883-889, 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, 1989. https://doi.org/10.2307/249008
  4. F. D. Davis, R. P. Bagozzi, and P. R. Warashaw, Extrinsic and intrinsic motivation to user computers in the workplace. Journal of Applied Social Psychology, Vol. 22, No. 14, pp. 1111-1132, 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, 2003.
  6. A. Bhattacherjee, Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, Vol. 25, No. 3, pp. 351-370, 2001. https://doi.org/10.2307/3250921
  7. O. Turel, A. 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, 2011.
  8. O. Turel and A. Serenko, The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, Vol. 21, No. 5, pp. 512-528, 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. 255-260, 2013.
  10. P. S. Jang, Effect of flow experience, self-directed learning readiness and internet addiction on academic achievement in web-based computer education. The Journal of Digital Policy & Management, Vol. 10, No. 1, pp. 293-300, 2012.
  11. S. R. Lee, A study on the differences of mental health and media use according to the addiction of communication media. The Journal of Digital Policy & Management, Vol. 11, No. 7, pp. 255-260, 2013.
  12. M. Limayem, S. G. Hirt and C. M. K. Cheung, How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, Vol. 31, No. 4, pp. 705-738, 2007.
  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 context. Journal of Academy Marketing Science, Vol. 32, No. 3, pp. 293-311, 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, 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, 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, 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, 2012. 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, 2010. https://doi.org/10.1016/j.im.2010.06.004
  19. C. S. Wan and W. B. Chiou, Psychological 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, 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, 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, 2011. https://doi.org/10.1037/a0022407
  22. M. Csikszentmihalyi, Play and intrinsic rewards. Journal of Humanistic Psychology, Vol. 15, No. 3, pp. 41-63, 1975. https://doi.org/10.1177/002216787501500306
  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, 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, 1998.

피인용 문헌

  1. The Effect of Depression, Impulsivity, and Resilience on Smartphone Addiction in University Students vol.53, pp.4, 2014, https://doi.org/10.4306/jknpa.2014.53.4.214