Advertisement

The Impact of Personal Innovativeness on the Intention to Use Cloud Classroom: An Empirical Study in China

  • Jijuan Cao
  • Yafei Shang
  • Qingmin MokEmail author
  • Ivan Ka-Wai Lai
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1048)

Abstract

The object of this research is to examine the elements that influence students’ behavioral intention towards using a Cloud Classroom App (CCA) platform in China. In this study, Partial least squares (PLS) analysis is adopted to analyze the data collected from 998 students in Guangzhou. The empirical data reveal that performance expectancy, effort expectancy, social influence, facilitating conditions, and personal innovativeness in information technology positively affect students’ behavioral intention toward using a CCA platform to obtain knowledge. Moreover, effort expectancy has a partially mediating effect between personal innovativeness in information technology and performance expectancy, and performance expectancy also as a mediator variable partially affects the relationship between personal innovativeness in information technology and behavior intention, effort expectancy and behavior intention, respectively. The results of the multi-group analysis show that there are significant differences in the use of a CCA platform for learning between the junior students (year 1) and senior students (years 2 & 3). This study makes several recommendations to the CCA platform managers to make improvements to the design of the CCA platform.

Keywords

Personal innovativeness Cloud classroom Intention to use UTAUT 

Notes

Acknowledgement

This work was supported in part by the Young Innovative Talents Program of The Education Department in Guangdong under Grant 2018GWQNCX086.

References

  1. 1.
    Agarwal, R., Prasad, J.: A conceptual and operational definition of personal innovativeness in the domain of information technology. Inform. Syst. Res. 9(2), 204–215 (1998)CrossRefGoogle Scholar
  2. 2.
    Ajzen, I.: From intentions to actions: a theory of planned behavior. In: Kuhl, J., Beckmann, J. (eds.) Action Control. SSSSP, pp. 11–39. Springer, Heidelberg (1985).  https://doi.org/10.1007/978-3-642-69746-3_2CrossRefGoogle Scholar
  3. 3.
    Ajzen, I., Fishbein, M.: Understanding Attitudes and Predicting Social Behaviour. Prentice-Hall, Englewood Cliffs (1980)Google Scholar
  4. 4.
    Bandura, A.: Social foundations of thought and action: a social cognitive theory. J. Appl. Psychol. 12(1), 169–171 (1986)MathSciNetGoogle Scholar
  5. 5.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)CrossRefGoogle Scholar
  6. 6.
    Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and intrinsic motivation to use computers in the workplace. J. Appl. Soc. Psychol. 22(14), 1111–1132 (1992)CrossRefGoogle Scholar
  7. 7.
    Hair, J.F., Ringle, C.M., Sarstedt, M.: Partial least squares structural equation modeling: rigorous applications, better results and higher acceptance. Long Range Plan. 46(1–2), 1–12 (2013)CrossRefGoogle Scholar
  8. 8.
    Korde, M.S.A., Patil, M.V.D.: E-learning using cloud computing and challenges. Int. J. Emerg. Tech. Comput. Sci. 3(4), 28–33 (2018)Google Scholar
  9. 9.
    Kwon, T.H., Zmud, R.W.: Unifying the fragmented models of information systems implementation. In: Boland, R.J., Hirschheim, R.A. (eds.) Critical Issues in Information Systems Research, pp. 227–251. Wiley, Hoboken (1987)Google Scholar
  10. 10.
    Lai, I.K.W., Lai, D.C.F.: Student acceptance of electronic schoolbag systems: an empirical study in China. In: Cheung, S.K.S., Fong, J., Fong, W., Wang, F.L., Kwok, L.F. (eds.) ICHL 2013. LNCS, vol. 8038, pp. 334–344. Springer, Heidelberg (2013).  https://doi.org/10.1007/978-3-642-39750-9_31CrossRefGoogle Scholar
  11. 11.
    Lewis, W., Agarwal, R., Sambamurthy, V.: Sources of influence on beliefs about information technology use: an empirical study of knowledge workers. MIS Q. 27(4), 657–678 (2003)CrossRefGoogle Scholar
  12. 12.
    Lu, J., Yao, J.E., Yu, C.S.: Personal innovativeness, social influences and adoption of wireless internet services via mobile technology. J. Strat. Inform. Syst. 14(3), 245–268 (2005)CrossRefGoogle Scholar
  13. 13.
    Okumus, B., Ali, F., Bilgihan, A., Ozturk, A.B.: Psychological factors influencing customers’ acceptance of smartphone diet apps when ordering food at restaurants. Int. J. Hospit. Manag. 72, 67–77 (2018)CrossRefGoogle Scholar
  14. 14.
    Parthasarathy, M., Bhattacherjee, A.: Understanding post-adoption behavior in the context of online services. Inform. Syst. Res. 9(4), 362–379 (1998)CrossRefGoogle Scholar
  15. 15.
    Rogers, E.M.: Diffusion of Innovations: modifications of a model for telecommunications. In: Stoetzer, M.W., Mahler, A. (eds.) Die Diffusion von Innovationen in der Telekommunikation, vol. 17, pp. 25–38. Springer, Heidelberg (1995)CrossRefGoogle Scholar
  16. 16.
    Sultan, F., Chan, L.: The adoption of new technology: the case of object-oriented computing in software companies. IEEE Trans. Eng. Manag. 47(1), 106–126 (2000)CrossRefGoogle Scholar
  17. 17.
    Taylor, S., Todd, P.: Assessing IT usage: the role of prior experience. MIS Q. 19(4), 561–570 (1995)CrossRefGoogle Scholar
  18. 18.
    Thompson, R.L., Howell, H.J.M.: Personal computing: toward a conceptual model of utilization. MIS Q. 15(1), 125–143 (1991)CrossRefGoogle Scholar
  19. 19.
    Tornatzky, L.G., Klein, K.J.: Innovation characteristics and innovation adoption-implementation: a meta-analysis of findings. IEEE Trans. Eng. Manag. 29(1), 28–45 (1982)CrossRefGoogle Scholar
  20. 20.
    Tsai, C.W., Shen, P.D.: Do open educational resources and cloud classroom really improve students’ learning? Int. J. Inform. Commun. Tech. Educ. 10(1), 89–96 (2014)CrossRefGoogle Scholar
  21. 21.
    Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)CrossRefGoogle Scholar
  22. 22.
    Yang, T., Zhong, H., Mok, Q., Lai, I.K.-W., Ng, K.-K.: The acceptance of “flash class” – mobile mini-lessons through WeChat. In: Cheung, S.K.S., Lam, J., Li, K.C., Au, O., Ma, W.W.K., Ho, W.S. (eds.) ICTE 2018. CCIS, vol. 843, pp. 101–108. Springer, Singapore (2018).  https://doi.org/10.1007/978-981-13-0008-0_10CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Jijuan Cao
    • 1
  • Yafei Shang
    • 1
  • Qingmin Mok
    • 2
    Email author
  • Ivan Ka-Wai Lai
    • 3
  1. 1.Innovation and Entrepreneurship Education Center, Mental Health Education CenterGuangzhou Panyu PolytechnicGuangzhouChina
  2. 2.School of BusinessMacau University of Science and TechnologyTaipaMacau
  3. 3.Faculty of International Tourism and ManagementCity University of MacauTaipaMacau

Personalised recommendations