Open Access
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
Article Number 01047
Number of page(s) 8
Section Big Data Analysis Application and Energy Consumption Research
Published online 07 December 2020
  1. Ajzen I. (1985), “From intentions to actions: A theory of planned behavior. In: Kuhl J., Beckman J., (Eds. ), Action control: From cognition to behavior”, Heidelberg, Germany, Springer, pp. 11-39. [Google Scholar]
  2. Ajzen I. (1991), “The theory of planned behavior”, Organizational Behavior and Human Decision Processes, Vol. 50, no. 2, pp. 179-211. [CrossRef] [Google Scholar]
  3. Bhattacherjee A. (2001), “Understanding information systems continuance: An expectation-confirmation model”, MIS Quarterly, Vol. 25, no. 3, pp. 351-370. [CrossRef] [Google Scholar]
  4. Bhattacherjee A., Perols J. And Sanford C. (2008), “Information technology continuance: A theoretic extension and empirical test”, Journal of Computer Information System, Vol. 30, no. 4, pp. 17-26. [CrossRef] [Google Scholar]
  5. CNNIC. (2017), “The 39th statistical report on internet development in China”, China Internet Network Information Center, Beijing. [Google Scholar]
  6. Davis, F.D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, IT Usefulness and ease of use, Vol. 13, no. 3, pp. 319-340. [Google Scholar]
  7. Fishbein M. and Ajzen I. (1975), “Belief, attitude, intention and behavior: an introduction to theory and research”, Reading, MA: Addison-Wesley, pp. 335-383. [Google Scholar]
  8. Forward-looking Industry Research Institute. (2016), “The report of the development prospect of china online tourism industry and investment strategy plan”. [Google Scholar]
  9. Huangfu, Q.H. (2013), “A review of domestic and foreign researches on information systems continuance-based on literature research of electronic service and other related fields”, Journal of Information, Vol. 32, no. 10, pp. 111-116. [Google Scholar]
  10. Lam T. and Hsu, H.C. (2006), “Predicting behavioral intention of choosing at ravel destination”, Tourism Management, Vol. 27, no. 4, pp. 589-599. [CrossRef] [Google Scholar]
  11. Rodgers, W.M., Conner M. and Murray, T.C. (2008), “Distinguishing among perceived control, perceived difficulty and self- efficacy as determinants of intentions and behaviors”, British Journal of Social Psychology, Vol. 22, no. 3, pp. 218-233. [Google Scholar]
  12. Sparks P. and Shepherd R. (1992), “Self-identity and the theory of planned behavior: Assessing the role of identification with ‘Green consumerism’”, Social Psychology Quarterly, Vol. 55, no. 4, pp. 394. [CrossRef] [Google Scholar]
  13. Terry, D.J., Hogg, M.A. and White, K.M. (1991), “The theory of planned behavior: Self-identity, social identity and group norms”, British journal of Social Psychology, Vol. 38, pp. 227. [Google Scholar]
  14. Wicker, A.W. (1969), “Attitudes versus actions: The relationship of verbal and overt behavioral responses to attitude objects. ” Journal of Social Issues, Vol. 25, pp. 41-78. [CrossRef] [Google Scholar]
  15. Yoon C. (2011), “Theory of planned behavior and ethics theory in digital piracy: An integrated model”, Journal of Business Ethics, Vol. 100, pp. 405-417. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.