Open Access
Issue
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
Article Number 05073
Number of page(s) 5
Section Part 5: Management Engineering
DOI https://doi.org/10.1051/matecconf/201710005073
Published online 08 March 2017
  1. Ajzen, I. Attitude, personality, & behavioral. Milton Keynes: Open University Press, 1989. 330–334 [Google Scholar]
  2. Ajzen, I. From intentions to actions: A theory of planned behavior. In Kuhland, J. Beekmann, J.(Eds.), Action controls: from cognition to behavior, New York: Springer Veflag, 1985: 11–39. [Google Scholar]
  3. Ajzen, I. From intentions to actions: A theory of planned behavior. Heidelberg: Springer, 1985. 231–245 [Google Scholar]
  4. Davis, F. D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterlg 1989b, 319—340. [Google Scholar]
  5. Davis, F.D. Technology acceptance model for empirically testing new end—user information system: theory and results, Ph.D. dissertation, MIT Sloan School of Management, Cambridge, MA.1986. 246–267. [Google Scholar]
  6. Davis, F.D. User acceptance of information technology: System Characteristics, User perceptions and behavioral impacts. International Journal of Man·Machine Studies, 1993, 38: 475–487. [Google Scholar]
  7. Weian Wang Hong GuoFan: hangzhou institute of university of finance and trade, zhang jianguo: ningbo branch of agricultural bank of China. The present situation and the development of credit card - the investigation and analysis on the condition of credit card use. Journal of zhejiang finance, 1998, 8: 22. [Google Scholar]
  8. Yi Yan, sail. Problem analysis - credit card market in China in shijiazhuang city residents’ credit card usage, for example. Journal of hebei university school of economics, hebei province, baoding, hebei finance, 2009, 10: 19–22. [Google Scholar]
  9. Zhang Jiahong. And influencing factors of consumer credit card use intention research. Zhejiang university, master’s degree thesis. 2008. 347–358. [Google Scholar]
  10. Liang Yuzhou. Based on the a-share market data Logstic regression empirical research on enterprise credit rating. Master degree theses of master of university of science and technology of China. 2010.332–341. [Google Scholar]
  11. Zhu Xingliang, Joyce ge, good chrysanthemum. Based on the Probit model empirical analysis of the affecting factors of consumer credit card payments. Journal of Harbin institute of technology, shenzhen graduate school. Consumer economy. 2013, 4, 48–51. [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.