디지털융복합연구 (Journal of Digital Convergence)

  • 제18권2호
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  • Pages.151-162
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  • 2020
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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중국 온라인 유료 지식 콘텐츠 구매의도에 영향을 미치는 요인: 계획된 행동이론(TPB)중심으로

A Study on Factors Affecting Chinese Users' Willing to Pay for Online Paid Knowledge Contents: Focusing on Theory of Planned Behavior

  • 가정 (건국대학교 신산업융합학과) ;
  • 진로 (건국대학교 신산업융합학과)
  • Jing, Jia (Dept. of Advanced Industry Fusion, Konkuk University) ;
  • Lu, Chen (Dept. of Advanced Industry Fusion, Konkuk University)
  • 투고 : 2019.06.17
  • 심사 : 2020.02.20
  • 발행 : 2020.02.28
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초록

본 연구의 목적은 중국 사용자들을 대상으로 온라인 지식 콘텐츠의 구매의도에 영향을 미치는 요인을 살펴보기 위함이다. 연구모형은 선행연구를 통해서 온라인 지식 콘텐츠 특성, 저작권 및 유료화 인식, 계획된 행동이론 변인, 구매의도 변수를 제시하였다. 설문조사를 통해서 최종 457부를 수집하였으며 SPSS 25.0과 AMOS 23.0을 이용하여 제시한 연구가설을 검증하였다. 연구결과에 의하면 온라인 지식 콘텐츠 특성은 태도에 부분적으로 영향을 미치는 것으로 나타났다. 또한, 유료화 인식과 계획된 행동이론 변인들은 구매의도에 긍정적인 영향을 있는 것으로 나타났다. 그리고, 이러한 연구결과를 활용한 온라인 지식 콘텐츠의 구매의도를 제고하는데 도움이 되는 방안을 제시하였으며, 실무적인 측면에서 유료 지식 콘텐츠의 운영 기업에 대한 시사점을 제시하였다. 또한, 향후 각종 콘텐츠 유료화 관련 후속 연구를 위한 토대를 제공할 것으로 사료된다.

In this paper, a research model was designed to investigate the factors affecting the purpose intentions to the online paid knowledge contents in China. The research model includes the contents characteristics, recognition of copyright, recognition of paid, the theory of planned behavior factors. In this research, the data was collected by online survey, and in final analysis, 457 users' questionnaires were used. The empirical paper proves research hypothesis by using SPSS 25.0 and AMOS 23.0. The results of the study are as follows: the contents characteristics partially give positive effects to attitude. In addition, recognition of paid and planning behavior theory factors have positive effects to purpose intentions. This paper provides a useful scheme to promotion the purpose of purchase for paid online knowledge contents.

키워드

참고문헌

  1. Iresearch. (2018). Research Report on Online Knowledge Payment Market in China.
  2. S. H. Kim & M. H. Ryu. (2018). A Role of Support Organizations Toward the Global Expansion of Content Companies. Korean Society of Innovation, 13(2), 35-55.
  3. S. Y. Feng. (2017). We Studied 28 Platforms to have a Study on Paid Knowledge Contents Present Situation and Future. https://36kr.com.
  4. S. M. Gao. (2017). A Study on the Influencing of the Mobile Reading Payment Service on Information Dissemination. Library and information, 21(21), 79-82.
  5. Y. Ye & H. Wang. (2018). A Study on the Factors Influencing User's Willingness to pay for Audio Reading Platform. Research on library Science, 82-88.
  6. W. H. Delone & E. R. Mclean (2003). The Delone and Mclean Model of Information System Success: A Ten-Year Update, Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
  7. L. Chen, D. M. Lee & J. Jia. (2019). A Study on O2O Service Quality Factors Affecting the Continued Use Intention: Base on Mobile Easy Payment Service in China. Innovation Studies 14(2), 103-131. https://doi.org/10.46251/innos.2019.05.14.2.103
  8. L. Chen & J. G. Lee(2019). A Study on Information System and Logistics Service Quality Affecting the Satisfaction and Continued Use Intention for B2C Cross Border E-Commerce. Journal of the Korea Management Engineers Society, 24(1), 37-53. https://doi.org/10.35373/kmes.24.1.3
  9. L. Chen & D. M. Lee. (2017). An Empirical Study on the Factors Influencing the Acceptance of Mobile Easy Payment Service-A Case of Chinese User. The Korea Contents Society, 17(8), 1-13. https://doi.org/10.5392/JKCA.2017.17.01.001
  10. X. Y. Cheng & K. F. Liu. (2017). A Study on the Factors Influencing User's Willing to Pay for Mobile Reading. Research on Library Science, 16, 87-96.
  11. Z. T. Du & J. H. Xu. (2018). From Demand to Experience: Impact Factors of Users' Online Knowledge Payment Behavior, Journalism & Communication, 25(10), 19-39.
  12. W. S. Lin & C. H. Wang. (2012), Antecedencce to Continued Intentions of Adopting E-Learning System in Blended Learning Instruction: A Contingency Framework Based on Models of Information System Success and Task-Technology Fit, Computer & Eduction, 58(1), 88-99. https://doi.org/10.1016/j.compedu.2011.07.008
  13. J. K. Lee, M, Choi & S. B. Park. (2012). A Study on College Students' Intention to Accept Paid Mobile News Content Provided by Daily Newspapers; Application of a Combined Model between TAM and Uses & Gratification. Journal of Media Economics & Culture, 10(3), 129-172.
  14. P. J. Choi, H. S. Sim & K. H. Kim. (2011). A Study on the Impact of the Service Characteristics of Premium Internet Information Contents on Customer Satisfaction and Customer Loyalty, Management Information Systems Review, 30(3), 1-25.
  15. J. K. Lee (2018). A Study on the Determinants of the Intention to Use Paid Podcast Content, Journal of Communication Science, 18(4), 152-183. https://doi.org/10.14696/jcs.2018.12.18.4.152
  16. M. Choi & J. K. Lee & S. B. Park. (2012). A Study on Intention to Using Paid Online News Contents of Daily Newspapers among College Students: With a Focus on Recognition of Copyright and Paid News Contents, Evaluation of Newsworthiness, and Expanded Theory of Planned Behaviors, Korean Journal of Journalism & Communication Studies, 56(1), 340-363.
  17. Y. Huh, E. Y. Cho & S. W. Wha. (2018). A Study on Factors Affecting Purchase Intention of Mobile SNS-based Internet Charged Contents: Focusing on WeChat Application. Journal of the Korean Entrepreneurship Society, Conferences 2017(1), 1-15.
  18. H. H. Hwang & C. Heewon. (2018). The Effect of Non-Market Issue Involvement and Market Issue Involvement on the Behavioral Intention to Visit South Korea: Based on the Theory of Planned Behavior. The Korean Journal of Advertising, 29(2), 97-130. https://doi.org/10.14377/kja.2018.2.28.97
  19. I. Ajzen. (1991). The theory of planned behavior. Organizational Behavior & Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-t
  20. Y. M. Sang, J. K. Kim & H. J. WOO. (2015). Understanding the Intention Behind Illegal Downloading: A Comparative Study of American and Korean College Students. Telematics & Informatics, 32(2), 333-343. https://doi.org/10.1016/j.tele.2014.09.007
  21. S. A. Oh. (2017). A Study on the Trust of Multi-Distribution Channel for Food Products and The Purpose of Purchase Using Planning Behavior Theory. Unpublished Doctoral Dissertation, Kyonggi University, Graduate School.
  22. B. H. Ko & H. C. Shin. (2018). A Study on Deluxe Hotel Foodservice Employee's Entrepreneurial Intention and Behavior: By Using Extention about Theory of Planned Behavior. Journal of Tourism Management Research, 22(7), 19-39. https://doi.org/10.18604/tmro.2018.22.7.2
  23. S. J. Moon. (2018). Prediction of University Student's Intention to Visit Green Restaurant Using Theory of Planned Behavior. Journal of Foodservice Management Society of Korea. 21(2), 163-182.
  24. J. H. Park. (2018). The Effect of Influencer's Quality on Consumer Behavioral. Intention: Focused on Theory of Planned Behavior (TPB). Unpublished Doctoral Dissertation, Korea University, Graduate School.
  25. J. Jia & C. G. Lee. (2018), The Effect of Crowdfunding Factors on Participational Intention-A Case of Chinese Participants. Journal of Digital Convergence, 16(3), 237-247. https://doi.org/10.14400/JDC.2018.16.3.237
  26. S. S. Cho, S. J. Choi, Y. J. Lee. (2013). Determinants of the Willingness to Pay of Terrestrial Broadcasting Video Contents in Online: focused on Copyright Awareness, Contents Characteristics and Platform Characteristics, Journal of the Korea Contents Association, 13(8), 348-359. https://doi.org/10.5392/JKCA.2013.13.08.348
  27. J. F. Hair, W. C. Black, B. J. Babin & R. E. Anderson. (2010). Multivariate Data Analysis(7th ed.): Pearson.
  28. BigData-Research. (2019). China Mobile Reading Market Research Report in 2018.