Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Influencing Factors of Sustainable Use Intention & Addiction of Social Media WeChat

소셜미디어 위챗의 지속 이용의도와 중독의 영향요인 연구

  • 강아리 (경성대학교 언론홍보학과) ;
  • 배승주 (경성대학교) ;
  • 권만우 (경성대학교 디지털디자인학과) ;
  • 이상호 (경성대학교 디지털디자인학과)
  • Received : 2021.10.29
  • Accepted : 2021.12.20
  • Published : 2021.12.28
Download PDF
⟨ Previous Next ⟩

Abstract

This study is an empirical study on how factors such as social factor, entertainment factor on the Wechat social media platform affect users' flow and addiction to use. Researchers thought that despite the increasing addiction of social media Wechat users, existing social media research is limited to service quality and satisfaction, so research on user flow and addiction is necessary. Therefore, the researchers try to through empirical analysis, the WeChat use to addiction path to social factor (social interactivity, payable) and entertainment factor (entertainment, life relevance), examine how WeChat user experience affects the use intention and satisfaction, and determine its role in the user's WeChat addiction and flow, and tested. The results of this study are expected to provide a new theoretical basis for future research on addiction use of social media.

본 연구는 위챗 소셜미디어 플랫폼의 사회적, 오락적 요인이 이용자의 몰입과 중독에 어떤 영향을 주는지에 대한 실증 연구이다. 연구자들은 소셜미디어 위챗 이용자들의 중독이 늘어나고 있음에도 불구하고, 기존 소셜미디어 연구가 서비스 품질과 만족도 등에 그치고 있어 이용자의 몰입, 중독에 관한 연구가 필요할 것으로 보았다. 따라서 연구자들은 실증분석을 통하여 위챗 사용의 중독에 이르는 경로를 사회적 요인(사교성, 지불성)과 오락적 요인(오락성, 생활 관련성)으로 설정하고 위챗 이용자 체험이 사용 의도와 만족에 어떻게 영향을 미치는지 고찰하고 이용자의 위챗 몰입과 중독으로 이어지는 경로를 확인하고자 하였다. 연구결과 위챗의 사교성 등 기능적 요인이 인지된 용이성 및 유용성에 영향을 주고, 이에 대한 사용과 만족이후 몰입과 중독에 영향을 주는 것으로 검정되었다. 본 연구의 결과는 향후 소셜미디어의 중독적 사용관련 연구에 새로운 이론적 기반이 될 것으로 기대하고 있다.

Keywords

Acknowledgement

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (NRF-2021-R1I1A3054903).

References

  1. Tencent. (2020). 2019-2020, WeChat Impact Report, China Information & Communications Researchers.
  2. L. C. Zhu & H. S. Hwang. (2020). A Comparative Study on Factors Affecting Satisfaction and Continuous Use Intention of KakaoTalk and WeChat. The Research Institute of Social Science. 27(1), 77-98.
  3. S. H. Lee. (2014). The Relation of Addiction and Sustainable Use of Social Media Service. Journal of Digital Convergence, 12(1), 273-280. https://doi.org/10.14400/JDPM.2014.12.1.273
  4. R. M. Emerson. (1967). Social Exchange Theory. Annual Review of Sociology, 1(2), 335-362.
  5. L. Leung. (2003). Impacts of Net-Generation Attributes, Seductive Properties of the Internet and Gratifications-Obtained on Internet Use. Telematics and Informatics, 20(2), 107-129. https://doi.org/10.1016/S0736-5853(02)00019-9
  6. C. G. Zheng. (2019). Effects of Mobile Payment System Benefit on User Attitude and WOM: Focus on a Risky-Taking Tendency. Management Consulting Research, 19(2), 109-119.
  7. F. Qu & H. Y. Zhang. (2015). Impact of Non-Traded Virtual Community User Experience on Intention to Continue to Use Study. Intelligence Journal, 34(9), 185-191.
  8. F. D. Davis. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
  9. S. Y. Lee & C. Park. (2016). Research on the Use Intention of Mobile Express Payment Services. Management Science, 33(2), 65-74.
  10. M. Fishbein & I. Ajzen. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
  11. P. R. Warshaw & F. D. Davis. (1985). Disentangling Behavioral Intention and Behavioral Expectation. Journal of Experimental Social Psychology, 12(1), 213-228.
  12. R. D. Blackwell, P. W. Miniard & J. F. Engel. (2005). Consumer Behavior (10th). Thomson Learning.
  13. K. B. Bangaly. (2020). Explaining Social Networking Sites' Use Continuance from Employees' Perspectives. Social Networking Sites' Use, 1(28), 171-198.
  14. R. L. Oliver. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 10(17), 460- 469. https://doi.org/10.1177/002224378001700405
  15. R. N. Bolton. (1998). A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction. The Role of Satisfaction, Marketing Science, 17(1), 45-65. https://doi.org/10.1287/mksc.17.1.45
  16. P. Kotler. (2003). Marketing Management: 11th ed. New Jersey: Prentice-Hall.
  17. S. H. Lee. (2013). Effect of SNS User's Emotional Perception and Flow on Word of Mouth : Focusing on the Facebook User Group. Journal of Marketing Management Research, 18(2), 1-23.
  18. G. F. Koob & L. Moal. (1997). Drug Abuse: Hedonic Homeostatic Dysregulation. Science, 278(53), 52-58. https://doi.org/10.1126/science.278.5335.52
  19. G. F. Koob & D. George. (2010). Neurocircuitry of Addiction. Neuropsychopharmacology, 35(1), 217-238. https://doi.org/10.1038/npp.2009.110
  20. R. Karim & P. Chaudhri. (2012). Behavioral Addictions: An Over view. Journal of Psychoactive Drugs, 44(1), 5-17. https://doi.org/10.1080/02791072.2012.662859
  21. M. Igbaria & L. Chidambaram. (1995). Examination of Gender Effects on Intention to Stay Among Information Systems Employees. Proceedings of the 1995 ACM SIGCPR Conference, 167-180.
  22. D. Gefen. (2003). Inexperience and Experience with Online Stores: The Importance of TAM and Trust. IEEE Transactions on Engineering Management, 12(3), 307-321. https://doi.org/10.1109/TEM.2003.817277
  23. X. Z. Park. (2014). Mobile Instant Messaging Software-Take KakaoTalk and WeChat as Example. China Study, 10(2), 227-248.
  24. X. L. Jin, M. K. Lee & C. M. Cheung. (2010). Predicting Continuance in Online Communities: Model Development and Empirical Test. Behaviour & Information Technology, 29(4), 383-394. https://doi.org/10.1080/01449290903398190
  25. I. Lee & J. Kim. (2015). Use Contexts for the Mobile Internet: A Longitudinal Study Monitoring Actual Use of Mobile Internet Services. International Journal of Human Computer Interaction, 18(3), 269-292. https://doi.org/10.1207/s15327590ijhc1803_2
  26. S. K. Trevinolk. (1992). Flow in Computer Mediated Communication. Communication Research, 19(5), 539-573. https://doi.org/10.1177/009365092019005001
  27. C. L. Hsu & H. P. Lu. (2004). Why do People Play On-Line Games? An Extended TAM with Social Influences and Flow Experience. Information & Management, 41(2), 853-868. https://doi.org/10.1016/j.im.2003.08.014
  28. E. Katz. (1959). Mass Communication Research and the Study of Popular Culture:An Editorial Note on a Possible Future for This Journal. Studies in Public Communication, 2(1), 1-6.
  29. S. H. Lee. (2013). A Study on the Policy Implication on the Addiction of Social Media Service User : Focusing on the Proposal of Korean SNS Addiction Index (KSAI). Journal of Digital Convergence, 11(1), 255-265. https://doi.org/10.14400/JDPM.2013.11.1.255