Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5518))

Included in the following conference series:

  • 2028 Accesses

Abstract

This paper is a survey report about why students use online video services. Based on the Technology Acceptance Model (TAM), a hypothesis model for online video services users was designed. The hypothesis model incorporates social influence, flow experience, comfortable communication, and advertisement interference into the basic TAM. With a questionnaire given to about 350 students, behaviors of online video service users were analyzed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Ministry of Internal Affairs and Communications, Japan: Information and Communications in Japan (2008 WHITE PAPER), http://www.johotsusintokei.soumu.go.jp/whitepaper/

  2. Watanabe, K., Iwasaki, K.: Factors Affecting Consumer Decisions about Purchases at Online Shops and Stores. In: Proceedings of IEEE CEC/EEE 2007, pp. 80–87 (2007)

    Google Scholar 

  3. Hiramatsu, A., Yamasaki, T., Nose, K.: Survey Of Consumers’ Decision Making Process For Online Music Service. In: Proceedings of ICETE 2008 International Conference on e-Business (ICE-B 2008), pp. 229–234 (2008)

    Google Scholar 

  4. Hiramatsu, A., Yamasaki, T., Nose, K.: Decision Making Model for Online Music Service Users, Towards Sustainable Society On Ubiquitous Networks. In: Proc. of The 8th IFIP Conference on e-Business, e-Service, and e-Society (I3E 2008), pp. 15–25 (2008)

    Google Scholar 

  5. Hsu, C.L., Lu, H.P.: Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management 41, 853–868 (2004)

    Article  Google Scholar 

  6. Shih, H.P.: An empirical study on predicting user acceptance of e-shopping on the Web. Information & Management 41, 351–368 (2004)

    Article  Google Scholar 

  7. Liu, C.: Modeling Consumer Adoption of The Internet as a Shopping Medium. Cambria Press (2007)

    Google Scholar 

  8. Jung, Y., Perez-Mira, B., Wiley-Patton, S.: Consumer adoption of mobile TV: Examining psychological flow and media content. Computers in Human Behavior 25(1), 123–129 (2009)

    Article  Google Scholar 

  9. Liao, C.H., Tsou, C.W.: User acceptance of computer-mediated communication: The SkypeOut case. Expert Systems with Applications, Part 1, 36(3), 4595–4603 (2009)

    Article  Google Scholar 

  10. Novak, T.P., Hoffman, D.L., Duhachek, A.: The Influence of Goal-Directed and Experiential Activities on Online Flow Experiences. Journal of Consumer Psychology 13(1-2), 3–16 (2003)

    Article  Google Scholar 

  11. Pace, S.: A grounded theory of the flow experiences of Web users. International Journal of Human-Computer Studies 60(3), 327–363 (2004)

    Article  MathSciNet  Google Scholar 

  12. Pilke, E.M.: Flow experiences in information technology use. International Journal of Human-Computer Studies 61(3), 347–357 (2004)

    Article  Google Scholar 

  13. Thatcher, A., Wretschko, G., Fridjhon, P.: Online flow experiences, problematic Internet use and Internet procrastination. Computers in Human Behavior 24(5), 2236–2254 (2008)

    Article  Google Scholar 

  14. Koufaris, M.: Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research 13(2), 205–223 (2002)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hiramatsu, A., Yamasaki, T., Nose, K. (2009). An Empirical Study of an Extended Technology Acceptance Model for Online Video Services. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_59

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02481-8_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02480-1

  • Online ISBN: 978-3-642-02481-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics