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A study on the Stress of Using Social Networking Services and Its Discontinuance Intention

소셜네트워크서비스(Social Network Service) 사용의 스트레스와 사용중단의도에 관한 연구

  • Park, Kyung-Ja (Small Business Management Institute, Sunchon National University) ;
  • Park, Seung-Bong (Dept. of Electronic Commerce, Chonnam National University)
  • 박경자 (순천대학교 중소기업연구소) ;
  • 박승봉 (전남대학교 전자상거래전공)
  • Received : 2014.10.28
  • Accepted : 2014.11.18
  • Published : 2014.12.31

Abstract

The development of ICT has promoted the infusion of 'social,' which is not only 'personal,' but also strengthens social connection and communication; and SNS lies in the center of the infusion. Although SNS has been positioning itself as a significant domain in our lives based on the developed technologies, such as openness, extendibility and real-time, it has caused social concerns due to unexpected side effects. Therefore, this study aims to identify the stressors causing SNS stress and the factors influencing discontinuance of SNS. As a result, 5 factors including 'techno-overload,' 'techno-invasion,' 'techno-insecurity,' 'techno-complexity' and 'pace of change' were found to be SNS stressors. It is thought that this study would provide an academic implication for the future studies of stress and discontinuance related to SNS and a guideline for establishing practical strategies.

정보통신기술들(information and communication technology: ICT)의 진화는 우리의 의사소통과 커뮤니케이션 문화를 변모시키며 사이버커뮤니케이션 시대로의 촉진을 유인하고 있다. ICT 발달에 따라 '퍼스널'하면서도 사회적 연결과 소통을 강화시킨 '소셜'의 융합이 촉진되고 있으며, 그 중심에 소셜네트워크서비스(social network service: SNS)가 있다. SNS는 개방성, 확장성, 실시간성 등과 같은 발달된 기술을 배경으로 우리생활에 중요한 영역으로 자리매김하고 있지만, 예기치 못했던 부작용으로 사회적 우려를 낳고 있다. 이에 본 연구에서는 SNS스트레스를 발생시키는 요인인 스트레서(stressor)를 파악하고 사용중단의도에 미치는 영향을 실증하는 것을 주요목적으로 하였다. 연구결과, '정보과부하', '사생활침해', '사용불안', '사용복잡', '빠른 변화속도'가 SNS스트레스 영향요인으로 나타났다. 그리고 SNS스트레스는 사용중단의도에 유의한 영향을 미치는 것으로 확인되었다. 본 연구는 개인적 차원의 테크노스트레스 및 SNS사용중단의도에 관한 논의를 확장시키고 실무적 가이드라인을 제공한다는 점에서 의의를 찾을 수 있다.

Keywords

References

  1. D. Rangarajana, E. Jonesb, and W. Chin, "Impact of sales force automation on technology-related stress, effort and technology usage among salespeople," Industrial Marketing Management, Vol. 34, No. 4, pp. 345-354, 2004.
  2. Q. Tu, K. Wang, and Q. Shu, "Computer-Related Technostress In China," communications of the acm, Vol. 48, No. 4, pp. 77-81, 2005.
  3. M. Tarafdar, Q. Tu, B. Ragu-Nathan, and T. Ragu-Nathan, "The Impact of Technostress on Role Stress and Productivity," Journal of Management Information Systems, Vol. 24, No. 1, pp. 301-328, 2007. https://doi.org/10.2753/MIS0742-1222240109
  4. T. S. Ragu-Nathan, M. Tarafdar, and Q. Tu, "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation," Information Systems Research, Vol. 19, No. 4, pp. 417-433, 2008. https://doi.org/10.1287/isre.1070.0165
  5. K. Wanga, Q. Shu, and Q. Tu, "Technostress under different organizational environments: An empirical investigation," Computers in Human Behavior, Vol. 24, pp. 3002-3013, 2008. https://doi.org/10.1016/j.chb.2008.05.007
  6. M. Tarafdar, Q. Tu, T. S. Ragu-Nathan, and B. S. Ragu-Nathan, "Crossing to the Dark Side: Examining Creators, Outcomes, and Inhibitors of Technostress," Communications of the acm, Vol. 54, No. 9, pp. 113-120, 2011.
  7. R. Ayyagari, V. Grover, and R. Purvis, "Technostress: Technological Antecedents And Implications," MIS Quarterly, Vol. 35, No. 4, pp. 831-858, 2011.
  8. R. Ayyagari, "Impact of Information Overload and Task-technology Fit on Technostress," Technostress, Information Overload and TTF, Proceedings of the Southern Association for Information Systems Conference, Atlanta, GA, 23rd-24th, pp. 18-22, 2012.
  9. nrpark, hschoi, and cclee "Factors Influencing Technostress of Smart phone Users," JKIIT, Vol. 9, No. 2, pp. 179-186, 2011.
  10. jekim and jsyeo, "Digital Stress of Consumers in Using Digital Goods," Journal of Korean Home Management Association, Vol. 25, No. 3, pp. 119-135, 2007.
  11. S. J. Green, R. J. Clifton, E. R. Simonson, and A. H. Jones, "Determination of the critical stress intensity factor KIc from internally pressurized thick-walled vessels," Experimental Mechanics, Vol. 16, No. 6, pp. 233-238, 1976. https://doi.org/10.1007/BF02329274
  12. Brod, "Technostress: The Human Cost of the Computer Revolution" Addison-Wesley. 1984.
  13. Q. Shu, Q. Tu, and K. Wang, "The Impact of Computer Self-Efficacy and Technology Dependence on Computer-Related Technostress: A Social Cognitive Theory Perspective," International Journal of Human-Computer Interaction, Vol. 27, No. 10, pp. 923-939, 2011. https://doi.org/10.1080/10447318.2011.555313
  14. A. Parasuraman, "Technology readiness index(TRI): a multiple-item scale to measure readiness to embrace new technologies," Journal of Service Research, Vol. 2, No. 4, pp. 307-321, 2000. https://doi.org/10.1177/109467050024001
  15. kjpark ilryu, and yhlee, "A Study on the Negative Emotion of Using Social Networking Services and Its Discontinuance Intention," Knowledge Management Research, Vol. 15, No. 2, pp. 89-106, 2014.
  16. jppark, and yechoi "Technostress Creators and Its Influence on Employees in Organizations," Journal of the Korea society of IT services, Vol. 12, No. 2, pp. 55-71, 2013. https://doi.org/10.9716/KITS.2013.12.2.055
  17. P. E. Brillhart, "Technostress in the Workplace: Managing Stress in the Electronic Workplace," Journal of American Academy of Business, Vol. 5, No. 1/2, pp. 302-307, 2004.
  18. E. M. Rogers, "Diffusion of Innovation" The Free Press, New York. 2003.
  19. A. Bhattacherjee, "Acceptance of E-commerce Services: the Case of Electronicc Brokerage," IEEE Transactions on Systems, Man and Cybermetics, Vol. 30, No. 4, pp. 411-420, 2000. https://doi.org/10.1109/3468.852435
  20. P. M. Podsakoff, S. B. MacKenzie, J. Y. Lee, and N. P. Podsakoff, "Common method biases in behavioral research: A critical review of the literature and recommended remedies," Journal of Applied Psychology, Vol. 88, No. 5, pp. 879-903, October. 2003. https://doi.org/10.1037/0021-9010.88.5.879
  21. C. Fornell, and D. Larcker, "Evaluating Structural Equation Models with Unobservable Variables and Measurement Errors," Journal of Marketing Research, Vol. 18, No. 1, pp. 39-50, 1981. https://doi.org/10.2307/3151312
  22. J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson, and R. L. Tatham, "Multivariate Data Analysis(6th ed.)" Upper Saddle River, New Jersey: Pearson Education, InC. 2006.
  23. chchoi, gwpark, shlee, "An Influence Value Algorithm based on Social Network in Knowledge Retrieval Service," Journal of the Korea Society of Computer and Information, Vol. 14, No. 10, pp. 43-53, 2009.
  24. mksung, kylee, ydchung, "A Privacy Protection Method in Social Networks Considering Structure and Content Information," Journal of the Korea Society of Computer and Information, Vol. 15, No. 1, pp. 119-128, 2010. https://doi.org/10.9708/jksci.2010.15.1.119

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