An innovation adoption study of online e-payment in Chinese companies

Journal of Electronic Commerce in Organizations

Volumn 4, Issue 1, 2006, Pages 48-69

  He, Qile ^a   Duan, Yanqing ^b,d   Fu, Zetian ^c   Li, Daoliang ^c  

^a MIDDLESEX UNIVERSITY BUSINESS SCHOOL   (United Kingdom)

^b UNIVERSITY OF BEDFORDSHIRE   (United Kingdom)

^c CHINA AGRICULTURAL UNIVERSITY   (China)

^d UNIVERSITY OF BEDFORDSHIRE   (United Kingdom)

Author keywords

Adoption of innovation; E commerce; Innovation attributes; Innovation diffusion; Online electronic payment systems; P.R. China

Indexed keywords

DIFFUSION; INDUSTRIAL MANAGEMENT; INFORMATION TECHNOLOGY; MATHEMATICAL MODELS; ONLINE SYSTEMS;

ADOPTION OF INNOVATION; INNOVATION ATTRIBUTES; INNOVATION DIFFUSION; ONLINE ELECTRONIC PAYMENT SYSTEMS;

ELECTRONIC COMMERCE;

EID: 33645518825     PISSN: 15392937     EISSN: 15392929     Source Type: Journal    
DOI: 10.4018/jeco.2006010104     Document Type: Article

References (53)

1. Abrazhevich, D. (2001a). Classification and characteristics of electronic payment systems. In K. Bauknecht, S. K. Madria, & G. Pernul (Eds)., Proceedings of EC-Web 2001 (pp. 81-90). Springer
2. Abrazhevich, D. (2001b). Electronic payment systems: Issues of user acceptance. Proceedings of eBusiness and eWork 2001, Venice, Italy.
3. Abrazhevich, D. (2001c). A survey of user altitudes towards electronic payment systems. In J. Vanderdonckt, A. Blandford, & A. Derycke (Eds)., Proceedings of Joint Afihm-BCS Conference on Human-Computer Interac tion IHM-HCI 2001 (Vol. 2). Toulouse: Cepadues-Editions.
4. Adams, D.A., Nelson, R.R., & Todd, P.A. (1992). Perceived usefulness, case of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247.
5. Agarwal, R., & Prasad, J. (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences, 28(3), 557-582.
6. Agresti, A. (1996). An introduction to categorical data analysis. New York: John Wiley & Sons.
7. Ajzen, I. (1988). Attitudes, personality, and behavior. Milton Keynes: Open University Press.
8. Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22, 453-474.
9. Arbuckle, J. L. (1999). Amos version 4.01. Chicago: SmallWaters Corp.
10. Asokan, N., Janson, P. A., & Waidner, M. (1997). The state of the art in electronic payment systems. IEEE Computer, 28(35), 28-35.
11. Bentler, P. M., & Bonnett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606.
12. Bhattacherjee, A. (2002). Individual trust in online firms: Scale development and initial test. Journal of Management Information Systems, 19(1), 211-241.
13. Bhattacherjee, A., & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229-254.
14. Bollen, K. A., & Hoyle, R. H. (1990). Perceived cohesion: A conceptual and empirical examination. Social Forces, 69(2), 470-504.
15. Brown, L. A. (1981). Innovation diffusion: A new perspective. London: Methuen.
16. Bryant, F. B., Yarnold, P. R., & Michelson, E. A. (1999). Statistical methodology: VIII. Using confirmatory factor analysis (CFA) in emergency medicine research. Academic Emergency Medicine, 6(1), 54-66.
17. Buck, S. P. (1996). Electronic commerce: Would, could and should you use current Internet payment mechanisms. Internet Research: Electronic Networking Applications and Policy, 6(2/3), 5-18.
18. Chau, P. Y. K., & Tam, K. Y. (1997). Factors affecting the adoption of open systems: An exploratory study. MIS Quarterly, 21(1), 1-21.
19. Creswell, J. W. (1994). Research design: Qualitative and quantitative approaches. London: Sage Publications.
20. Davis, F. D. (1.989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
21. Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38, 475-487.
22. Field, A. (2000). Discovering statistics using SPSS for Windows. London: Sage.
23. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
24. Goldfinger, C., & Perrin, J. (2001). UNCTAD background paper: E-finance and small and medium-size enterprises (SMEs) in developing and transition economies. Geneva: Palais des Nations.
25. Harrison, D. A., Mykytyn, P. P., & Riemenschneider, C. K. (1997). Executive decisions about adoption of information technology in small business: Theory and empirical tests. Information Systems Research, 8(2), 171-195.
26. Hui, D. (2001). Why Hong Kong Internet users do not shop online: An empirical study. Proceedings of the First International Conference on Electronic Business, Hong Kong.
27. Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and postadoption beliefs. MIS Quarterly, 23(2), 183-213.
28. Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS Quarterly, 27(4), 657-678.
29. Mantel, B. (2001). E-money and e-commerce: Two alternative views of future innovations. Chicago: Federal Reserve Bank of Chicago.
30. Mantel, B., & McHugh, T. (2001). Competition and innovation in the consumer e-payments market: Considering the demand, supply, and public policy issues. Chicago: Federal Reserve Bank of Chicago.
31. Mantel, B., & McHugh, T. (2002). Evolving e-payment networks in the U.S.: The strategic, competitive and innovative implications. Retrieved September 16, 2002, from http://www.chicagofed.org/paymentsystems/publications/ E-Paymcnt_Networks_Mantel_McHugh.pdf
32. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
33. Mei, S., & Lu, D. (2000). Foundation of electronic commerce (trans.). Beijing: Tsinghua University Press.
34. Menard, S. (1995). Applied logistic regression analysis. Sage University paper series on quantitative applications in the social sciences, No. 07-106. Thousand Oaks, CA: Sage.
35. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
36. nd ed.). Boston: Duxbury.
37. Phillips, L. W. (1981). Assessing measurement error in key informant reports: A methodological note on organizational analysis in marketing. Journal of Marketing Research, 16, 395-415.
38. Pilioura, T. (1998). Electronic payment systems on open computer networks: A survey. In D. Tsichritzis (Ed.), Electronic commerce objects. Geneva: University of Geneva.
39. Premkumar, G., Ramamurthy, K., & Nilakanta, S. (1994). Implementation of electronic data interchange: An innovation diffusion perspective. Journal of Management Information Systems, 11(2), 157-186.
40. Probst, T. M. (2003). Development and validation of the job security index and the job security satisfaction scale: A classical test theory and IRT approach. Journal of Occupational and Organizational Psychology, 76, 451-467.
41. rd ed.). New York: Free Press.
42. th ed.). New York: Free Press.
43. nd ed.). New York: Free Press.
44. nd ed.). Harlow, UK: Prentice Hall.
45. Sharma, S. (1996). Applied multivariate techniques. New York: John Wiley & Sons.
46. Too, H. H., Wei, K. K., & Benbasat, I. (2003). Predicting intention to adopt interorganizational linkages: An institutional perspective. MIS Quarterly, 27(1), 1-31.
47. Thomas, W. T., & Znaniecki, F. (1927). The Polish peasant in Europe and America. New York: Knopf.
48. Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 9(1), 28-45.
49. UNCTAD. (2001). E-commerce and development report 2001. Retrieved August 18, 2002, from http://r0.unctad.org/ecommerce/docs/edr01_en/cdr01pt0_en.pdf
50. UNCTAD. (2002). Retrieved September 15, 2002, from http://r0.unctad.org/ ecommerce/ecommeree_en/faq_en.htm
51. Venkatesh, V., & Brown, S. A. (2001). A longitudinal investigation of personal computers in homes: Adoption determinants and emerging challenges. MIS Quarterly, 25(1), 71-102.
52. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
53. Wonglimpiyarat, J. (2002). The business strategies in payment innovations. Proceedings of the First National Conference on Electronic Business, Thailand.