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The Effects of YouTube Summary Contents Features and Contents Provider Credibility on Users' Flow and Satisfaction

유튜브 서머리 콘텐츠 특성과 콘텐츠 제공자 신뢰성이 이용자 몰입과 만족에 미치는 영향

  • Jeong, Yu-Jin (Digital Business and Management, Graduate School of Information, Yonsei University) ;
  • Lee, Nam-Jung (IoT Service Convergence, Graduate School of Information, Yonsei University) ;
  • Lee, Jung-Hoon (Graduate School of Information, Yonsei University)
  • 정유진 (연세대학교 정보대학원 디지털 경영) ;
  • 이남정 (연세대학교 정보대학원 IoT 서비스융합) ;
  • 이정훈 (연세대학교 정보대학원)
  • Received : 2021.01.11
  • Accepted : 2021.02.20
  • Published : 2021.02.28

Abstract

Previous studies have studied short videos, short form content, snack culture and so on, but few studies have been conducted on the form of summary content that compressing and summarizing the original content. This study aims to contribute to the revitalization of the summary content market by exploring ways to enhance user satisfaction through analysis of the YouTube summary content features and the credibility of content providers that bring about flow and satisfaction of YouTube summary content users. The survey was conducted on 202 people who have watched YouTube summary contents for finding out the effects of YouTube summary contents features and content provider credibility on the details of flow. As a result, only entertainment had a significant impact on all flow details. This study is of academic significance in that it defines the features of YouTube summary contents, and has practical significance in that it suggests what direction the summary content should have in order to arouse user satisfaction in future.

그간의 선행연구는 짧은 동영상, 숏폼 콘텐츠, 스낵 컬처 등에 한정되었으며, 원본 콘텐츠를 압축·요약한 형태의 서머리 콘텐츠에 대한 연구는 드물었다. 따라서 본 연구는 유튜브 서머리 콘텐츠 이용자의 몰입과 만족을 불러오는 유튜브 서머리 콘텐츠 특성과 콘텐츠 제공자 신뢰성의 요인 분석을 통해, 궁극적으로 이용자 만족도 제고 방안을 탐구하여 서머리 콘텐츠 시장의 활성화에 기여하고자 하였다. 이에 유튜브 서머리 콘텐츠를 이용해 본 경험이 있는 202명을 대상으로 설문조사를 실시하였고, 분석 결과 모든 몰입 세부속성에 유의한 영향을 주는 요인은 오락성인 것으로 나타났으며, 완전성과 독창성은 일부 몰입 속성에만 유의한 영향을 주는 것으로 나타났다. 그리고 간결성과 정보성은 유의한 영향을 주지 않은 것으로 나타났다. 본 연구는 유튜브 서머리 콘텐츠의 특성을 정의하고, 방향성을 제시하였다는 점에서 의의를 가진다.

Keywords

References

  1. Koreans love for youtube. 43million people watch 30hours per month [Website]. (2020. 10. 8). Retrieved from https://www.chosun.com/economy/tech_it/2020/10/08/NK7R4EVGR5GNDB45RYDLXJ5RUE/.
  2. Y. D. Kim, CR Research LAB. (2019). YouTube Trends 2020. Seoul: eeunbook.
  3. Binging for the busy modern people. A summery of only the essentials through summery contents [Website]. (2020. 2. 18). Retrieved from https://blog.hsad.co.kr/2851.
  4. Youtube is the 'national app' who uses it the most? [Website]. (2020. 10. 8). Retrieved from https://www.donga.com/news/It/article/all/20201008/103314798/1.
  5. 'Summery service popular with modern people. A summry of essentials on books, movies, and news [Website]. (2019. 12. 16). Retrieved from https://www.mk.co.kr/news/business/view/2019/12/1053012/.
  6. K. Y. Lee & D. G. Sung. (2018). Factors Influencing on the Flow and Satisfaction of YouTube Users. Journal of the Korea Contents Association, 18(12), 660-675. https://doi.org/10.5392/JKCA.2018.18.12.660
  7. T. S. Kang. (2015). Association between Motivations to Consume Snack Culture and the Consumption Patterns (MS). Graduate School of Journalism & Mass Communication, Seoul.
  8. S. J. Kim. (2016). Basic Study on Snack Culture-focused on narrative structure and character features in web drama, Infinite Power, Doll House, After Effect, Another Parting, The Tale of Bookworm, Girl of 0 AM and Keep Going-. Journal of Basic Design & Art, 17(1), 75-87.
  9. S. E. Jung. (2016). Study on the 72seconds Web Drama as Snack Culture. Cine forum, (24), 75-99.
  10. F. W. Guan. (2019). An analysis of the factors affecting the ustained usage of short clip apps as a way of mobile social network service in China -Focus on Tik Tok- (MS). Hanyang University, Seoul.
  11. E. G. Lee. (2017). A Study on Uses and Gratification on Short Videos (MS). The Graduate School of Ewha Womans University, Seoul.
  12. H. J. Jin. (2019). The Factors Affecting the Attitude and Behavioral Intention of Short Food Video Viewers (MS). The Graduate School of Hanyang University, Seoul.
  13. G. M. Yanf, S. H. Chung, S. W. Lee. (2018). Factors Affecting the Popularity of Video Clip : The Case of Naver TV. Journal of the Korea Contents Association, 18(6), pp. 706-718. https://doi.org/10.5392/JKCA.2018.18.06.706
  14. H. J. Kim, S. R. Oh & S. B. Jo. (2020). Shortform content trend. Excellence Marketing for Customer, 54(7), 60-69.
  15. J. Lee. (2020). A Study on Types of Short-form Video Contents. Humanities Contents, (58), 121-139.
  16. S. J. Choi. (2020). Influence of Tourism Contents Quality on YouTube and Source Credibility on Perceived Enjoyment, User Satisfaction and Behavioral Intention. Journal of Tourism Sciences, 44(3), 123-145. https://doi.org/10.17086/jts.2020.44.3.123.145
  17. Zhu Ling Zi. (2017). The effect of beauty youtuber's marketing communication characteristics on product purchase intention : credibility and brand attitude as mediator (MS). The Graduate School of Hanyang University, Seoul.
  18. C. S. Choi & S. W. Hwang. (2020). What Factors are More Influential in Viewing YouTube Videos? : Based on the AHP Model. Broadcasting & Communacation, 21(3), 76-110.
  19. E. H. Kim & S. H. Kim. (2018). The Effects of Interest in Beauty Videos and Beauty Creator Reliability on Cosmetics Purchase Intention. Journal of the Korean Society of Cosmetology, 24(6), 1325-1336.
  20. H. Y. Kim & B. S. An. (2018). A Study on the Effects of the attractiveness and credibility of Online 1 Personal Media Broadcasting B.J. on the Viewing Engagement perceived on Media Channel, Interactivity, Perceived Enjoyment, and the Users Responses. Advertising Research, (118), 78-126.
  21. M. A. Kamins. (1989). Celebrity and noncelebrity advertising in a two-sided context. Journal of Advertising Research, 29(3), 34-42.
  22. M. Xiao, R. Wang & S. Chan-Olmsted. (2018). Factors affecting YouTube influencer marketing credibility: a heuristic-systematic model. Journal of Media Business Studies, 15(3), 188-213. https://doi.org/10.1080/16522354.2018.1501146
  23. C. W. Moom & J. H. Kim. (2011). Interaction and Flow as the Antecedents of e-Learner Satisfaction. The Journal of Korean Association of Computer Education, 14(3), 63-72. https://doi.org/10.32431/KACE.2011.14.3.006
  24. M. Csikszentmihalyi. (1975). Beyond boredom and anxiety. San Francisco: Jossey-Bass.
  25. M. Csikszentmihalyi. (1990). Flow the Psychology of Optimal Experience. Harper & Row.
  26. S. J. Lee, J. H. Park & J. W. Kim. (2010). Effects of Content Characteristics on the Flow and Perceived Novelty - Focused on Characters and Narratives of Video UCC. Archives of Design Research, 23(3), 53-68.
  27. D. L. Hoffman & T. P. Novak. (1996). Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations. Journal of Marketing, 60(3), 50-68. https://doi.org/10.2307/1251841
  28. E. H. Oh, C. S. Kim & J. J. Jung. (2009). The Influence of the Characteristics of Digital Contents on the Usage Intention: Focusing on the Customer Types. Korean Jouranl of Business Administration, 22(1), 329-367.
  29. J. E. Kim & H. J. Yoo. (2020). The Effect of Quality of YouTube on User's Pruchase Intention. Global Business Administration Review, 17(1), 183-206. https://doi.org/10.38115/asgba.2020.17.1.183
  30. J. E. Yoon. (2006). Study on Users' Perception of Digital Contents Traits and Intention (Ph.D). Kyonggi University, Suwon.
  31. J. S. Kim & S. B. Yang. (2019). The Effect of Content Quality and Creator Attributes on the Satisfaction and Behavioral Intention on Personal Broadcasting Muckbang Channels: Based on the Elaboration Likelihood Model. The Journal of Internet Electronic Commerce Resarch, 19(5), 257-281. https://doi.org/10.37272/JIECR.2019.10.19.5.257
  32. S. S. Kang, K. Y. Lee & Y. S. Lee. (2006). Salient Factors of the Users' Intention and Commitment in Wireless Internet Service. Korea Association for International Commerce and Information, 8(2), 3-35.
  33. S. W. Byun. (2019). The Influence of YouTube Attributes on the Purchase Intention of Fashion Products: The Mediating Effect of Content Flow and Channel Continuance Usage Intention (Ph.D). Graduate School of Kyung Hee University, Seoul.
  34. D. H. Hong & J. W. Jun. (2018). Effects of Consumer Psychology, Content, and Creators on Branded Entertainment of MCN. The Korean Journal of Advertising, 29(7), 55-74. https://doi.org/10.14377/kja.2018.10.15.55
  35. S. Y. Park. (2010). A Study on the Effects of Fantasy Needs and Motivation on Media Content User's Flow Experience : Focusing on the TV Drama and Movie. Korean Journal of Journalism & Communication Studies, 54(2), 232-254.
  36. D. U. Seo, J. H. Lee & S. E. Lee. (2017). The Role of "Engagement in TV Contents" as a Mediating Variable in the Context of Social Viewing : Focused on Uses and Gratification Theory. Information Society & Media, 18(3), 31-62.
  37. W. W. Chin. (1998). The Partial Least Squares Approach to Structural Equation Modeling. In George A. Marcoulides (Eds.), Modern Methods for Business Research (pp. 295-336). NY: Psychology Press.
  38. C. Fornell & D. F. Larcker. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382-388. https://doi.org/10.1177/002224378101800313