А STUDY OF FACTORS AFFECTING THE DIFFUSION AND ACCEPTANCE OF PAYMENT SERVICES INNOVATION
https://doi.org/10.17747/2078-8886-2016-3-86-93
Abstract
About the Author
A. M. PogosyanRussian Federation
Ph. D (Technical Sciences), Professor at the Department of «Strategic and Crisis Management» of the Financial University under the Government of the Russian Federation. Author of scientific monographs, textbooks and articles on crisis management. Participated in the research works performed by the Financial University of the Government of the Russian Federation, the Ministry of economy of the Russian Federation, the Ministry of agriculture of the Russian Federation, Department of science and industry of Moscow and other agencies and organizations. Accredited by the Association «interregional self-regulating organization of professional arbitration managers» as a person engaged in consulting activities in the course of bankruptcy procedures.
References
1. Рынок розничных платежных услуг: поведение потребителей (2014)/Центральный банк Российской Федерации, Национальное агентство финансовых исследований // Платежные и расчетные системы. Серия «Анализ и статистика». Вып. 42. С. 1–64.
2. Трачук, А. В., Голембиовский Д. Ю. (2012) Перспективы безналичных розничных платежей // Деньги и кредит. № 7. С. 24–32.
3. Трачук, А. В., Корнилов Г. В. (2013) Динамика процессов внедрения инноваций в области производства банкнот // Деньги и кредит. № 9. С. 3–9.
4. Трачук, А. В., Корнилов Г. В. (2013) Анализ факторов, влияющих на распространение безналичных платежей на розничном рынке // Вестник Финансового университета. № 4. С. 6–20.
5. Agarwal R., Prasad J. (1998) A conceptual and operational de?nition of personal innovativeness in the domain of information technology // Information Systems Research. Vol. 2 № 9. Р. 204–215.
6. Ajzen I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes. Vol. 50, № 2. Р. 179–211.
7. Bauer R. A. (1960) Consumer behavior as risk taking, In // Proceedings of the 43rd Conference of the American Marketing Association/Ed. R. F. Hancock; American Marketing Association. Chicago, IL. Р. 389–398.
8. Bauer H. H., Hammerschmidt M., Falk T. (2005) Measuring the quality of e-banking portals // International Journal of Bank Marketing. Vol. 23, № 2. Р. 153–175.
9. Black N. J., Lockett A., Winklhofer H. et al. (2002) Modelling consumer choice of distribution channels: an illustration from financial services // The International Journal of Bank Marketing. Vol. 20, № 4. Р. 161–173.
10. Brown L. G. (1990) Convenience in services marketing // Journal of Service Marketing. № 4. Р. 53–59.
11. Cooper R., Zmud R. (1990) Information technology implementation research: A technological diffusion approach. // Management Science. Vol. 2, № 36. P. 123–139.
12. Dabholkar P. A., Bagozzi R. P. (2002) An attitudinal model of technology-based selfservice. moderating effects of consumer traits and situational factors // Journal of the Academy of Marketing Science. Vol. 3, № 30. P. 184–201.
13. Dahlberg T., Mallat N., Oorni A. (2003) Consumer acceptance of mobile payment solutions. // mBusiness – The Second International Conference on Mobile Business/Ed. G. M. Giaglis. Vienna. P. 211–218.
14. Davis F. D., Bagozzi R. P., Warshaw P. R. (1989) User acceptance of computer technology // Management Science. Vol. 8, № 35. P. 982–1003.
15. Davis F. D., Fred D. (1989) Perceived Usefulness, Perceived Ease Of Use, And User Acceptance Of Information Technology // MIS Quarterly, ABI/INFORM Global. Vol. 3, № 13. P. 319–340.
16. Eastin M. (2002). Diffusion of E-commerce: An Analysis of the Adoption of Four E-commerce Activities // Telemetric and Informatics. Vol. 3, № 19. P. 251–267.
17. Fishbein M., Ajzen I. (1985). Belief, Attitudes, Intention and Behavior: An Introduction to Theory and Research // Ajzen I. From intentions to actions: A theory of planned behavior. Reading MA: Addision-Wasely.
18. Gefen D., Karahanna E., Straub D. W. (2003) Trust and TAM in online shopping: an integrated model. // MIS Quarterly. № 27. P. 51–90.
19. Gerrard P., Cunningham J. B. (2003) The diffusion of Internet banking among Singapore consumers. International Journal of Bank Marketing. Vol. 21, № 1. P. 16–28.
20. Giglio V. (2002) Privacy in the world of cyber banking: emerging legal issues and how you are protected // The Secured Lender. March/April. P. 48–60.
21. Hamlet C., Strube M. (2000) Community banks go online, ABA Banking Journal's 2000 White Paper // Banking on the Internet. March. P. 61–65.
22. Hardgrave B. C., Davis F. D., Riemenschneider C. K. (2003) Investigating determinants of software developers’ intentions to follow methodologies // Journal of Management Information Systems. Vol. 1, № 20. P. 123–151.
23. Howcroft B., Hamilton R., Hewer P. (2002) Consumer attitude and the usage and adoption of home-based banking in the United Kingdom // International Journal of Bank Marketing. Vol. 20, № 3, P. 111–121.
24. Karahanna E., Straub D. W., Chervany N. L. (1999) Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly. Vol. 2, № 23. P. 183–213.
25. Lee M. C. (2009) Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit // Electronic Commerce Research and Applications. Vol. 3, № 8, P. 130–141.
26. Lewis W., Agarwal R., Sambamurthy V. (2003) Sources of in?uence on beliefs about information technology use: An empirical study of knowledge workers // MIS Quarterly. Vol. 4, № 27. P. 657–678.
27. Liao Z., Cheung M. T. (2002) Internet-based e-banking and consumer attitudes: an empirical study // Information & Management. Vol. 39, № 4. P. 283–295.
28. Lu J., Liu C., Yu C. et al. (2008) Determinants of accepting wireless mobile data services in China // Information & Management. Vol. 1, № 45. P. 52–64.
29. Lu J., Yao J., Yu C. (2005) Personal innovativeness, social in?uences and adoption of wireless Internet services via mobile technology // The Journal of Strategic Information Systems. Vol. 3, № 14. P. 245–268.
30. Luarn P., Lin H. H. (2005) Toward an understanding of the behavioral intention to use mobile banking // Computers in Human Behavior. Vol. 6, № 21. P. 873–891.
31. Mallat N., Rossi M., Tuunainen V. K. et al. (2006) The impact of use situation and mobility on the acceptance of mobile ticketing services // Proceedings of the 39th Hawaii International Conference on System Sciences, Hawaii.
32. Mitchell V. W. (1999) Consumer perceived risk: conceptualizations and models // European Journal of Marketing. Vol. 1–2, № 33. P. 163–195.
33. Mobile financial services. Raising the bar on customer engagement (2016): A research report by the Deloitte Center for Financial Services. [S. l.:] Deloitte University Press. 24 p.
34. Moore G., Benbasat I. (1991) Development of an instrument to measure the perceptions of adopting an information technology innovation // Information Systems Research. Vol. 3, № 2. P. 192–222.
35. Park C., Jun J. K. (2003) Effects of internet usage, perceived risks, and innovativeness // International Marketing Review. Vol. 20, №. 5. P. 534–553.
36. Pavlou P. A. (2003) Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model // International Journal of Electronic Commerce. Vol. 3, № 7. P. 69–103.
37. Payments disrupted – an emerging landscape (2015): A research report/Deloitte Center for Financial Services. [S. l.:] Deloitte University Press. 44 p.
38. Ramsay J., Smith M. (1999) Managing consumer channel usage in the Australian banking sector // Managerial Auditing Journal. Vol. 14, № 7. P. 32–33.
39. Rogers E. M. (1995) Diffusion of innovations. 4th ed. New York: The Free Press.
40. Sathye M. (1999) Adoption of Internet banking by Australian consumers: an empirical investigation // International Journal of Bank Marketing, Vol. 17, № 7. P. 324–34.
41. Van der Heijden H. (2003) Factors influencing the usage of Websites: the case of a generic portal in The Netherlands // Information and Management. Vol. 6, № 40. P. 541–549.
42. Venkatesh V. (2000) Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model // Information Systems Research. Vol. 4, № 11. P. 342–365.
43. Venkatesh V., Davis F.?D. (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science. Vol. 2 № 46. P. 186–204.
44. Venkatesh V., Davis, F. D. (1996) A model of the antecedents of perceived ease of use: development and test. // Decision Sciences. Vol. 3, № 27. P. 451–481.
45. Venkatesh V., Morris M. G., Davis G. B. et al. (2003) User acceptance of information technology: Toward a unified view // MIS Quarterly. Vol. 3, № 27. P. 425–478.
46. Wu J. H., Wang S. C. (2005) What drives mobile commerce? An empirical evaluation of the revised technology acceptance model // Information & Management. Vol. 5, № 42. P. 719–729.
47. Yang H. D., Yoo Y. (2004) It’s all about attitude: revisiting the technology acceptance model // Decision Support Systems. № 38. P. 19–31.
Review
For citations:
Pogosyan A.M. А STUDY OF FACTORS AFFECTING THE DIFFUSION AND ACCEPTANCE OF PAYMENT SERVICES INNOVATION. Strategic decisions and risk management. 2016;(3):86-93. (In Russ.) https://doi.org/10.17747/2078-8886-2016-3-86-93