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소셜 네트워크 과부하와 사용자 비 연속 사용의도에 대한 연구: 중국 Tik Tok을 중심으로

A Study on Social Network Overload and User Non-Continuous Use Intention: Focusing on Tik Tok in China

김창수|장궤이화|조준위
한국아시아학회 (The Korean Association Of Asian Studies(Kaas))|2021.08|아시아연구 (The Journal of Asian Studies)|제24권 제3호|pp. 57-76|DOI 10.21740/jas.2021.08.24.3.57

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참고문헌

키워드

Social OverloadInformation OverloadSystem Function OverloadSocial Network AddictionSocial Network FatigueNon-continuous Use Behavior
주제분류지역학

초록

With the continuous development of technology, the functions of social platforms have become more complex, and more and more information are carried, and social relationships have become no longer simple. As a result, users are disturbed and generate negative emotions, which in turn leads to unsustainable behaviors. Social media addiction and fatigue have become common phenomena and have a negative impact on people's work and studies. Therefore, based on the perspective of overload, this article chooses the most popular Tik Tok as the research object. According to the stimulus-organism-response framework, a research model of short video social platform users' unsustainable behavior is constructed, and the organism's stimulus is divided into system functions Overload, information overload, social overload, point out that stimulus (overload) will produce the corresponding body (addiction and fatigue), which makes the individual take a certain behavioral response (non-continuous use behavior), and this article also analyzes the addiction, fatigue Mediating Role. The results show that system function overload is positively correlated with social network addiction and fatigue. Social overload is positively correlated with social network addiction. Surprisingly, there is no significant correlation between information overload and social network addiction and fatigue. Social network addiction and fatigue are significantly positively correlated with users' unsustainable intentions.

Abstract

With the continuous development of technology, the functions of social platforms have become more complex, and more and more information are carried, and social relationships have become no longer simple. As a result, users are disturbed and generate negative emotions, which in turn leads to unsustainable behaviors. Social media addiction and fatigue have become common phenomena and have a negative impact on people's work and studies. Therefore, based on the perspective of overload, this article chooses the most popular Tik Tok as the research object. According to the stimulus-organism-response framework, a research model of short video social platform users' unsustainable behavior is constructed, and the organism's stimulus is divided into system functions Overload, information overload, social overload, point out that stimulus (overload) will produce the corresponding body (addiction and fatigue), which makes the individual take a certain behavioral response (non-continuous use behavior), and this article also analyzes the addiction, fatigue Mediating Role. The results show that system function overload is positively correlated with social network addiction and fatigue. Social overload is positively correlated with social network addiction. Surprisingly, there is no significant correlation between information overload and social network addiction and fatigue. Social network addiction and fatigue are significantly positively correlated with users' unsustainable intentions.

참고문헌 (75)

  1. Andreassen, C. S., "Online social network site addiction: A comprehensive review", Current Addiction Reports, 2(2), pp.175~184 (2015)
  2. Andreassen, C. S., "The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey", Addictive behaviors, 64, pp.287~293 (2017)
  3. Psychological criteria of fatigue, "Bartlett, F.", ~ (1953)
  4. Bernstein, E., "How Facebook ruins friendships", ~ (2009)
  5. Bright, L. F., "Too much Facebook? An exploratory examination of social media fatigue", Computers in Human Behavior, 44, pp.148~155 (2015)
  6. Carbonell, X., "A critical consideration of social networking sites’ addiction potential", Addiction Research & Theory, 25(1), pp.48~57 (2017)
  7. Self-regulation of action and affect, "Carver, C. S.", ~ (2004)
  8. Carey, K. B., "A psychometric analysis of the self-regulation questionnaire", Addictive behaviors, 29(2), pp.253~260 (2004)
  10. Chen, Y. -C., "The effects of information overload on consumers’ subjective state towards buying decision in the internet shopping environment", Electronic Commerce Research and Applications, 8(1), pp.48~58 (2009)
  11. Cherubini, M., "Social tagging revamped: supporting the users' need of self-promotion through persuasive techniques", Paper presented at the proceedings of the SIGCHI conference on human factors in computing systems (2010)
  12. Chin, W. W., "On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution", MIS quarterly, pp.237~246 (1995)
  13. "China Internet Audiovisual Development Research Report" (2020)[URL]
  14. Choi, S. B., "Effects of social and technology overload on psychological well-being in young South Korean adults: The mediatory role of social network service addiction", Computers in Human Behavior, 61, pp.245~254 (2016)
  15. Exploring information avoidance intention of social media users: a cognition–affect–conation perspective. Internet Research, "Dai, B.", ~ (2020)
  16. Dhir, M., "Overload, privacy settings, and discontinuation: A preliminary study of FaceBook users", Proceedings of Special Interest Group on Health-Computer Interactions (SIGHCI’14) (2014)
  17. Dumbar, D., "Problematic internet usage self-regulation dilemmas: Effects of presentation format on perceived value of behaviour", Computers in Human Behavior, 70, pp.453~459 (2017)
  18. Dunbar, R., "You’ve got to have (150) friends", The New York Times, 469~493 (2010)
  19. Eppler, M. J., "Kommunikationsmanagement im Wandel", pp.271~305 (2008), Springer
  20. Ferraro, G., "Internet addiction disorder : an Italian study", CyberPsychology & behavior, 10(2), pp.170~175 (2006)
  21. Fornell, C., "Evaluating structural equation models with unobservable variables and measurement error", Journal of marketing research, 18(1), pp.39~50 (1981)
  22. Foroughi, B., "Are depression and social anxiety the missing link between Facebook addiction and life satisfaction? The interactive effect of needs and self-regulation", Telematics and Informatics, 43, pp.101247~ (2019)
  23. Fu, S., "Social media overload, exhaustion, and use discontinuance : Examining the effects of information overload, system feature overload, and social overload", Information Processing & Management, 57(6), pp.102307~ (2020)
  24. Fox, J., "The dark side of social networking sites : An exploration of the relational and psychological stressors associated with Facebook use and affordances", Computers in Human Behavior, 45, pp.168~176 (2015)
  25. Gong, X., "Alone or together? Exploring the role of desire for online group gaming in players’ social game addiction", Information & Management, 56(6), pp.103139~ (2019)
  26. Hampton, K. N., "Core networks, social isolation, and new media: How Internet and mobile phone use is related to network size and diversity", Information, Communication & Society, 14(1), pp.130~155 (2011)
  27. Hawi, N. S., "The relations among social media addiction, self-esteem, and life satisfaction in university students", Social Science Computer Review, 35(5), pp.576~586 (2017)
  28. Kadzikowska-Wrzosek, R., "Self-regulation and bedtime procrastination : The role of self-regulation skills and chronotype", Personality and Individual Differences, 128, pp.10~15 (2018)
  29. Karr-Wisniewski, P., "When more is too much : Operationalizing technology overload and exploring its impact on knowledge worker productivity", Computers in Human Behavior, 26(5), pp.1061~1072 (2010)
  30. Kim, J., "The Facebook paths to happiness: Effects of the number of Facebook friends and self-presentation on subjective well-being", CyberPsychology, behavior, and social networking, 14(6), pp.359~364 (2011)
  31. Kircaburun, K., "Instagram addiction and the Big Five of personality : The mediating role of self-liking", Journal of behavioral addictions, 7(1), pp.158~170 (2018)
  32. Ko, C. -H., "Factors predictive for incidence and remission of internet addiction in young adolescents : a prospective study", CyberPsychology & behavior, 10(4), pp.545~551 (2007)
  33. Envy on Facebook: a hidden threat to users' life satisfaction?, "Krasnova, H.", ~ (2013)
  34. Kumar, A., "Addictive influences and stress propensity in heavy internet users : a proposition for information overload mediated neuropsychiatric dysfunction", Current Psychiatry Reviews, 13(4), pp.293~300 (2017)
  35. LaRose, R., "Connection overload? A cross cultural study of the consequences of social media connection", Information Systems Management, 31(1), pp.59~73 (2014)
  36. Drivers and consequences of frustration when using social networking services: A quantitative analysis of Facebook users, "Laumer, S.", ~ (2015)
  37. Lazarus, R. S., "Stress, appraisal, and coping" (1984), Springer publishing company
  38. Lee, A. R., "Information and communication technology overload and social networking service fatigue : A stress perspective", Computers in Human Behavior, 55, pp.51~61 (2016)
  39. Lim, M., "Effects of users’ envy and shame on social comparison that occurs on social network services", Computers in Human Behavior, 51, pp.300~311 (2015)
  40. Liu, M., "A cognitive model for understanding online gaming addiction", Paper presented at the Annual Conference of the International Communication Association (2008)
  41. WHEN SOCIAL NETWORKING TURNS TO SOCIAL OVERLOAD: EXPLAINING THE STRESS, EMOTIONAL EXHAUSTION, AND QUITTING BEHAVIOR FROM SOCIAL NETWORK SITES'USERS, "Maier, C.", ~ (2012)
  42. Maier, C., "Giving too much social support: social overload on social networking sites", European Journal of Information Systems, 24(5), pp.447~464 (2015)
  43. Maier, C., "The effects of technostress and switching stress on discontinued use of social networking services : a study of Facebook use", Information Systems Journal, 25(3), pp.275~308 (2015)
  44. Mäntymäki, M., "The Janus face of Facebook : Positive and negative sides of social networking site use", Computers in Human Behavior, 61, pp.14~26 (2016)
  45. McCarthy, D., "Residential density, social overload, and social withdrawal", Human Ecology, 6(3), pp.253~272 (1978)
  46. Nunnally, J. C., "Psychometric theory" (1994), Tata McGraw-hill education
  47. Olowu, A. O., "A study of social network addiction among youths in Nigeria", Journal of Social Science and Policy Review, 4(1), pp.63~71 (2012)
  48. Oviatt, S., "Human-centered design meets cognitive load theory: designing interfaces that help people think", Paper presented at the Proceedings of the 14th ACM international conference on Multimedia (2006)
  49. Rahmanyanti, P. L. D., "Discontinuous Usage Intention of Millennials in Using Facebook : The Role of SNS Exhaustion Mediates Social Overload", European Journal of Business and Management Research, 4(3) (2019)
  50. Ravindran, T., "Antecedents and effects of social network fatigue", Journal of the Association for Information Science and Technology, 65(11), pp.2306~2320 (2014)
  51. Rozgonjuk, D., "Fear of Missing Out (FoMO) and social media’s impact on daily-life and productivity at work: Do WhatsApp, Facebook, Instagram, and Snapchat Use Disorders mediate that association?", Addictive behaviors, 110, pp.106487~ (2020)
  52. Schick, A. G., "Information overload: A temporal approach", Accounting, Organizations and Society, 15(3), pp.199~220 (1990)
  53. 스위, "A Study on Video Content Application Based on Mobile Device Platform in China", 디지털융복합연구, 17(10), pp.433~438 (2019), 한국디지털정책학회[DOI]
  54. Shirazi, A. S, "Large-scale assessment of mobile notifications", Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  55. Social media use in 2018, "Smith, A.", Pew research center, 1~4 (2018)
  56. Song, H., "Does Facebook make you lonely? : A meta analysis", Computers in Human Behavior, 36, pp.446~452 (2014)
  57. "Intel's war on information overload: Case study" (2009)[URL]
  58. "Statista" (2019)[URL]
  59. SZ, S. S., "Facebook addiction among female university students", Revista De Administratie Publica Si Politici Sociale, 3(7), pp.95~ (2011)
  60. Taylor, S., "Understanding information technology usage : A test of competing models", Information systems research, 6(2), pp.144~176 (1995)
  61. Tiggemann, M., "Social media is not real : The effect of ‘Instagram vs reality’images on women’s social comparison and body image", New Media & Society, 22(12), pp.2183~2199 (2020)
  62. Toffler, A., "Future shock" (1970), Bantam
  63. Turel, O., "Quitting the use of a habituated hedonic information system : a theoretical model and empirical examination of Facebook users", European Journal of Information Systems, 24(4), pp.431~446 (2015)
  64. Turel, O., "Problematic use of social networking sites : antecedents and consequence from a dual-system theory perspective", Journal of Management Information Systems, 33(4), pp.1087~1116 (2016)
  65. Turel, O., "The benefits and dangers of enjoyment with social networking websites", European Journal of Information Systems, 21(5), pp.512~528 (2012)
  66. Van Deursen, A. J., "Modeling habitual and addictive smartphone behavior : The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender", Computers in Human Behavior, 45, pp.411~420 (2015)
  67. Understanding positive and negative outcomes of SNSs usage from a social network analysis aspect, "Wang, G.", ~ (2013)
  68. Anna Watson, "The impact of experiential augmented reality applications on fashion purchase intention", International Journal of Retail & Distribution Management, 48(5), pp.433~451 (2018), Emerald[DOI]
  69. Is boredom proneness related to social media overload and fatigue? A stress–strain–outcome approach. Internet Research, "Whelan, E.", ~ (2020)
  70. Eoin Whelan, "Is boredom proneness related to social media overload and fatigue? A stress–strain–outcome approach", Internet Research, 30(3), pp.869~887 (2020), Emerald[DOI]
  71. Xu, K., "Being Addicted to Chinese Twitter: Exploring the Roles of Users' Expected Outcomes and Deficient Self-regulation in Social Network Service Addiction", China Media Research, 11(2) (2015)
  72. Young, K. S., "Internet addiction: Evaluation and treatment" (1999), British Medical Journal Publishing Group
  73. Zhang, S., "Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services", Information & Management, 53(7), pp.904~914 (2016)
  74. Zheng, X., "Excessive use of mobile social networking sites : Negative consequences on individuals", Computers in Human Behavior, 65, pp.65~76 (2016)
  75. 吴佳妮, "音乐社交短视频软件何以走红——以抖音 App 为例", 新媒体研究, 3(18), pp.88~89 (2017)

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