The Journal of Information Systems (한국정보시스템학회지:정보시스템연구)

Korea Association of Information Systems (한국정보시스템학회)
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A Study on the Stress of Social Network Service and Using Reluctant Intention

SNS 스트레스와 이용의도저하에 관한 연구

  • Received : 2015.04.03
  • Accepted : 2015.05.11
  • Published : 2015.06.30
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Abstract

Purpose The purpose of this study was to investigate the factors affecting the users' stress and using reluctant intention to use social network service(SNS). This study especially focused on stress of SNSs' user. Because SNS has led to negative effects such as invasion of privacy, addiction and social overload recently. In addition, adverse effects of SNS had caused SNSs' user to feel stress and fatigue. Design/methodology/approach This study developed hypotheses to empirically examine the factors that affect SNS users' stress and using reluctant intention. In order to verify research hypotheses, this study collected data from 362 users who currently use the SNS in Korea. Further, we used the smartPLS analysis. Findings The results of this study are as follows; First, reputation perception, unwanted relation burden, privacy concern, information overload and interaction overload had a significant positive effect on SNS users' stress. But international influence had no significant positive effect on SNS users' stress. Second, SNS users' stress had a significant positive effect on using reluctant intention. The results of this study provides theoretical foundations on the research for dark side of SNS and implies that SNS providers are in need of exerting an effort to minimize the negative aspects.

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References

  1. 곽규태, 천영준, 오신호, 최수건, 이인성, 김진우, "모바일 SNS 이용의 기술.사회적 환경요인이 스트레스 인지와 SNS 이용의도 저하에 미치는 영향: 카카오톡 서비스 이용자를 중심으로," 경영학연구, 제41권, 제6호, 2012, pp. 1405-1434.
  2. 곽기영, 김효준, "소셜네트워크스트레스가 소셜미디어 전환의도에 미치는 영향," 한국산업경영학회 발표논문집, 2011, pp. 83-114.
  3. 김경달, 김현주, 배영, "소셜네트워크서비스(SNS)의 피로감 요인에 관한 연구," 정보와 사회, 제26권, 2013, pp. 102-129.
  4. 김명수, 이동주, "소셜 네트워크 서비스 이용에 있어서의 디지털 피로감과 플로우의 역할," e-비즈니스 연구, 제13권, 제1호, 2012, pp. 67-87.
  5. 김희연, 오주현, "국내외 SNS의 현황과 사회적 의미," 정보통신정책연구, 제24권, 제12호, 2012, pp. 19-42.
  6. 박경자, 유일, 이윤희, "소셜네트워크서비스(SNS)사용의 부정적 감정과 사용중단의도에 관한 연구," 지식경영연구, 제15권, 제2호, 2014, pp. 89-106.
  7. 박선화, 김광용, "소셜네트워크서비스에 지속사용의도 및 관계채널확장에 영향을 미치는 요인에 관한 연구," 한국IT서비스학회지, 제11권, 제2호, 2012, pp. 319-337. https://doi.org/10.9716/KITS.2012.11.2.319
  8. 박수홍, 조희영, 양회창, "수정된 원형/행동경향 모형을 통한 SNS 이용자들의 상홍작용성이 이용저하에 미치는 영향," 통상정보연구, 제16권, 제3호, 2014, pp. 3-23.
  9. 박재진, 황성욱, 박홍원, "페이스북 커뮤니케이션에서 나타나는 부정적 영향," 사회과학연구, 제39권, 제2호, 2013, pp. 93-109.
  10. 박종필, 최영은, 이은곤, "B2C SNS 사용에 있어서 촉진인자(Enablers)와 억제인자(Inhibitors) 규명과 영향에 관한 연구: 듀얼펙터접근으로," Entrue Journal of Information Technology, 제11권, 제2호, 2012, pp. 155-165.
  11. 손달호, "SNS의 사회인지요인이 사용의도에 미치는 영향," 정보시스템연구, 제23권, 제3호, 2014, pp. 73-97.
  12. 이현지, 정동훈, "트위터와 페이스북의 이용중단의도에 관한 연구," 한국언론학보, 제57권, 제4호, 2013, pp. 269-293.
  13. 이호영, 김희연, 오주현, 배영, "SNS와 온라인 커뮤니티의 사회관계 형성 메커니즘 비교," 정보통신정책연구원, 2012.
  14. 정윤혁, "소셜네트워크사이트 사용자의 가치체계 연구," 정보시스템연구, 제23권, 제1호, 2014, pp. 93-109.
  15. 진수향, "테크노스트레스와 안티스마트가 스마트폰 사용에 미치는 영향에 관한 연구," 디지털융복합연구, 제10권, 제10호, 2012, pp. 187-195. https://doi.org/10.14400/JDPM.2012.10.10.187
  16. 한국인터넷진흥원, 국내 SNS의 이용 현황과 주요 이슈 분석, Internet & Security Focus, 2014.
  17. 한상연, 마은정, 홍대순, 김은영, 박주현, 이인성, 김진우, "SNS사용을 통한 자기표현이 대인관계 및 삶의 질에 미치는 영향분석 연구: 개인 커뮤니케이션 능력의 조절효과를 중심으로," 정보시스템연구, 2013, 제22권, 제1호, pp. 29-64.
  18. Ayyagari, R., Grover, V. and Purvis, R., "Technostress: Technological Antecedents and Implications," MIS Quarterly, Vol.35, No.4, 2011, pp. 831-858.
  19. Bhattacherjee, A., "Understanding Information Systems Continuance: An Expectation-Confirmation Model," MIS Quarterly, Vol,25, No.3, 2001, pp. 351-370. https://doi.org/10.2307/3250921
  20. Boyd, D.M. and Ellsion, N.B., "Social Network Sites: Definition, History, and Scholarship," Journal of Computer-Mediated Communication, Vol.13, No.1, 2008, pp. 210-230. https://doi.org/10.1111/j.1083-6101.2007.00393.x
  21. Brod, C., Technostress : The Human Cost of the Computer Revolution, Reading, MA: Addison-Wesley, 1984.
  22. Coklar, A.N. and Sahin, Y.L., "Technostress Levels of Social Network Users Based on ICTs in Turkey," European Journal of Social Sciences, Vol. 23, No. 2, 2011, pp. 171-182.
  23. Cooper, C.L., Dewe, P.J. and O'Driscoll, M.P., Organizational Stress: A Review and Critique of Theory, Research, and Applications, Thousand Oaks, CA: Sage, 2001.
  24. Dinev, T. and Hart, P., "Internet Privacy Concerns and Their Antecedents Measurement Validity and a Regression Model," Behaviour and Information Technology, Vol. 23, No. 6, 2004, pp. 413-422. https://doi.org/10.1080/01449290410001715723
  25. Fornell, C. and Larcker, D.F., "Evaluating Structural Equation Models with Unobservable Variables and Measurement," Journal of Marketing Research, Vol.18, No.1, 1981, pp. 39-50. https://doi.org/10.2307/3151312
  26. Gefen, D. and Straub, D., "A Practical Guide to Factorial Validity Using PLS Graph: Tutorial and Annotated Example," Communications of the Association for Information Systems, Vol.16, No.5, 2005, pp. 91-109.
  27. Kim, B. and Han, I., "What Drives the Adoption of Mobile Data Services and Quest; An Approach From a Value Perspective," Journal of Information Technology, Vol.24, No.1, 2009, pp. 35-45. https://doi.org/10.1057/jit.2008.28
  28. Klein, J., Moon, Y. and Picard, R.W., "This Computer Responds to User Frustration: Theory, Design, and Results," Interacting with Computers, Vol.14, No.2, 2002, pp. 119-140. https://doi.org/10.1016/S0953-5438(01)00053-4
  29. Ku, Y.C., Chen, R. and Zhang, H., "Why do Users Continue Using Social Networking Sites? An Exploratory Study of Members in the United States And Taiwan," Information & Management, Vol.50, No.7, 2013, pp. 571-581. https://doi.org/10.1016/j.im.2013.07.011
  30. Maier, C., Laumer, S., Eckhardt, A. and Weitzel, T., "Giving Too Much Social Support: Social Overload on Social Networking Sites," European Journal of Information Systems, Published Online, 2014, pp. 1-18.
  31. Oh, H.J., Ozkaya, E. and LaRose, R., "How Does Online Social Networking Enhance Life Satisfaction? The Relationships among Online Supportive Interaction, Affect, Perceived Social Support, Sense of Community, and Life Satisfaction," Computers in Human Behavior, Vol.30, 2014, pp. 69-78. https://doi.org/10.1016/j.chb.2013.07.053
  32. Ragu-Nathan, T.S., Tarafdar, M. and Ragu-Nathan, B.S., "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation," Information Systems Research, Vol.19, No.4, 2008, pp. 417-433. https://doi.org/10.1287/isre.1070.0165
  33. Ravindran, T., Kuan, A.C.Y. and Lian, D.G.H., "Antecedents and Effects of Social Network Fatigue," Journal of the Association for Information Science and Technology, Published Online, 2014, pp. 1-15.
  34. Salehan, M. and Negahban, A., "Social Networking on Smartphones: When Mobile Phones Become Addictive," Computers in Human Behavior, Vol.29, No.6, 2013, pp. 2632-2639. https://doi.org/10.1016/j.chb.2013.07.003
  35. Stankovic, M., Passant, A. and Laublet, P., "Directing Status messages to Their Audience in Online Communities," Coordination, Organizations, Institutions and Norms in Agent Systems V Lecture Notes in Computer Science, Vol.6069, 2010, pp. 195-210.
  36. Tarafdar, M, Qiang, T. and Ragu-Nathan, T.S., "Impact of Technostress on End-User Satisfaction and Performance," Journal of Management Information Systems, Vol.27, No.3, 2010, pp. 303-334. https://doi.org/10.2753/MIS0742-1222270311
  37. Venkatesh, V. and Davis, F.D., "A Theoretical Extenstion of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, Vol.45, No.2, 2000, pp. 186-204.
  38. Yamakami, T., "Towards Understanding SNS Fatigue: Exploration of Social Experience in the Virtual World," in Proceedings of the 7th International Conference on Computing and Convergence Technology, 2012, pp. 203-207.
  39. Zhou, T. and Li, H., "Understanding Mobile SNS Continuance Usage in China from the Perspectives of Social Influence and Privacy Concern," Computers in Human Behavior, Vol.37, 2014, pp. 283-289. https://doi.org/10.1016/j.chb.2014.05.008