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The Adoption of Mobile Games in China: An Empirical Study

Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 426)

Abstract

Mobile games have become very popular in recent years in China. This research aims to investigate the potential factors that influence users’ intention to play mobile games. Through the employment of structural equation modeling technology, a research model by extending technology acceptance model (TAM) with flow experience and social norms was proposed. This research model was empirically evaluated using survey data collected from 388 users about their perceptions of mobile games. Eleven research hypotheses were proposed in the study. Eight research hypotheses were positively significant supported, while three research hypotheses were rejected in this study. The result indicates that attitude and flow experience explain about 75% of uses’ intention to playing mobile games. It was found that social norms do not have direct effect on the intention to play a mobile game. But it affects the attitude directly. In addition, flow experience, perceived ease of use and perceived usefulness all have direct effects on users’ attitude toward playing a mobile game, and the effect from flow experience is quite strong. Flow experience plays an important role in the adoption of mobile games according to the analytical results of our study.

Keywords

Mobile game TAM Flow experience Social norms 

References

  1. 1.
    Chen, L.-D., Gillenson, M.L., Sherrell, D.L.: Enticing online consumers: an extended technology acceptance perspective. Information & Management 39(8), 705–719 (2002)CrossRefGoogle Scholar
  2. 2.
    Czikszentmihalyi, M.: Flow: The psychology of optimal experience. Lidové Noviny, Praha (1990) (cited on page)Google Scholar
  3. 3.
    Davis, F.D.: Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly 13, 319–340 (1989)CrossRefGoogle Scholar
  4. 4.
    Deutsch, M., Gerard, H.B.: A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology 51(3), 629 (1955)CrossRefGoogle Scholar
  5. 5.
    Gao, S., Krogstie, J., Gransæther, P.A.: Mobile Services Acceptance Model Proceedings of ICHIT. IEEE Computer Society (2008)Google Scholar
  6. 6.
    Gao, S., Krogstie, J., Siau, K.: Developing an instrument to measure the adoption of mobile services. Mobile Information Systems 7(1), 45–67 (2011)Google Scholar
  7. 7.
    Gao, S., Moe, S.P., Krogstie, J.: An Empirical Test of the Mobile Services Acceptance Model. In: 2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR), pp. 168–175 (2010)Google Scholar
  8. 8.
    Gao, S., Zang, Z., Gopalakrishnan, S.: A study on distribution methods of mobile applications in China. In: 2012 Seventh International Conference on Digital Information Management (ICDIM), pp. 375–380 (2012)Google Scholar
  9. 9.
    Hayduk, L.A.: Structural equation modeling with LISREL: Essentials and advances. JHU Press (1988)Google Scholar
  10. 10.
    Heijden, H.V.D.: User Acceptance of Hedonic Information Systems. MIS Quarterly 28(4), 695–704 (2004)Google Scholar
  11. 11.
    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(7), 853–868 (2004)CrossRefGoogle Scholar
  12. 12.
    Hung, C.-L., Chou, J.C.-L., Ding, C.-M.: Enhancing Mobile Satisfaction through Integration of Usability and Flow. Engineering Management Research 1(1) (2012)Google Scholar
  13. 13.
    Kelman, H.C.: Processes of opinion change. Public opinion quarterly 25(1), 57–78 (1961)CrossRefGoogle Scholar
  14. 14.
    Kim, H.-W., Chan, H.C., Gupta, S.: Value-based adoption of mobile internet: an empirical investigation. Decision Support Systems 43(1), 111–126 (2007)CrossRefGoogle Scholar
  15. 15.
    López-Nicolás, C., Molina-Castillo, F.J., Bouwman, H.: An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information & Management 45(6), 359–364 (2008)CrossRefGoogle Scholar
  16. 16.
    Liu, Y., Li, H.: Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China. Computers in Human Behavior 27(2), 890–898 (2011)CrossRefGoogle Scholar
  17. 17.
    Lou, H., Luo, W., Strong, D.: Perceived critical mass effect on groupware acceptance. European Journal of Information Systems 9(2), 91–103 (2000)CrossRefGoogle Scholar
  18. 18.
    Moon, J.-W., Kim, Y.-G.: Extending the TAM for a World-Wide-Web context. Inf. Manage. 38(4), 217–230 (2001)CrossRefGoogle Scholar
  19. 19.
    Rogers, E.M.: The diffusion of innovations. Free Press, New York (1995)Google Scholar
  20. 20.
    Teo, T.S., Lim, V.K., Lai, R.Y.: Intrinsic and extrinsic motivation in Internet usage. Omega 27(1), 25–37 (1999)CrossRefGoogle Scholar
  21. 21.
    Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decision sciences 39(2), 273–315 (2008)CrossRefGoogle Scholar
  22. 22.
    Webster, J., Trevino, L.K., Ryan, L.: The dimensionality and correlates of flow in human-computer interactions. Computers in Human Behavior 9(4), 411–426 (1994)CrossRefGoogle Scholar
  23. 23.
    Wu, J.-H., Wang, S.-C., Lin, L.-M.: Mobile computing acceptance factors in the healthcare industry: A structural equation model. International Journal of Medical Informatics 76(1), 66–77 (2007)CrossRefGoogle Scholar
  24. 24.
    Zhou, T., Li, H., Liu, Y.: The effect of flow experience on mobile SNS users’ loyalty. Industrial Management & Data Systems 110(6), 930–946 (2010)CrossRefMathSciNetGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  1. 1.School of Business AdministrationZhongnan University of Economics and LawWuhanChina
  2. 2.Department of Computer and Information ScienceNorwegian University of Science and TechnologyNorway

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