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Multi-dimensional Analysis of Perceived Risk on Credit Card Adoption

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 809))

Abstract

Credit card, a combination of non-cash payment and personal consumption credit, is a beneficial and convenient electronic service in the modern bank sector. However, this service has not been used widely in Vietnam. Even in the last few years, consumers tend to reduce using it. Thus, a comprehensive investigation of credit card usage becomes imperative for banks. This study applies an approach of perceived risk to explain consumer’s intended use of credit card. Based on data collecting from structured self-administered questionnaires of 228 Vietnamese bank account payers, the analytical results illustrate that the intention to use credit cards is negatively influenced by risk perception, which is synthesized from psychological risk, financial risk, performance risk, security risk, privacy risk, social risk and time risk with decreasing contribution. Some recommendations are made to reduce consumer concerns in order to encourage them signing up and using credit card as a mean of payment for daily expenses.

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References

  1. Amin, H.: An analysis of mobile credit card usage intentions. Inf. Manag. Comput. Secur. 15, 260–269 (2007)

    Article  Google Scholar 

  2. Anderson, J.C., Gerbing, D.W.: Predicting the performance of measures in a confirmatory factor analysis with a pretest assessment of their substantive validities. J. Appl. Psychol. 76, 732–740 (1991)

    Article  Google Scholar 

  3. Arpita, K., Anshuman, K., Singh, S.: Factors affecting credit card use in India. Asia Pac. J. Mark. Logist. 24, 236–256 (2012)

    Article  Google Scholar 

  4. Bauer, R.A.: Consumer Behavior as Risk Taking, Dynamic Marketing for a Changing World, pp. 389–398. American Marketing Association, Chicago (1960)

    Google Scholar 

  5. Bianchi, C., Andrews, L.: Risk, trust, and consumer online purchasing behaviour: a Chilean perspective. Int. Mark. Rev. 29, 253–276 (2012)

    Article  Google Scholar 

  6. Byrne, B.M.: Structural Equation Modeling with Amos: Basic Concepts, Applications and Programming, 2nd edn. Taylor & Francis Group, New York (2010)

    Google Scholar 

  7. Cattell, R.B.: Matched determiners vs. factor invariance: a reply to Korth. Multivar. Behav. Res. 13, 431–448 (1978)

    Article  Google Scholar 

  8. Chan, S.C., Lu, M.T.: Understanding internet banking adoption and use behavior: a Hong Kong perspective. J. Glob. Inf. Manag. 12, 21–43 (2004)

    Article  Google Scholar 

  9. Cox, D.F., Rich, S.U.: Perceived risk and consumer decision making - the case of telephone shopping. J. Mark. Res. 1, 32–39 (1964)

    Article  Google Scholar 

  10. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35, 982–1003 (1989)

    Article  Google Scholar 

  11. Derbaix, C.: Perceived risk and risk relievers: an empirical investigation. J. Econ. Psychol. 3, 19–38 (1983)

    Article  Google Scholar 

  12. Fabrigar, L.R., Wegener, D.T., MacCallum, R.C., Strahan, E.J.: Evaluating the use of exploratory factor analysis in psychological research. Psychol. Methods 4, 272–299 (1999)

    Article  Google Scholar 

  13. Farzianpour, F., Pishdar, M., Shakib, M.D., Toloun, S.H.: Consumers’ perceived risk and its effect on adoption of online banking services. Am. J. Appl. Sci. 11, 45–56 (2014)

    Article  Google Scholar 

  14. Featherman, M.S., Pavlou, P.A.: Predicting e-services adoption: a perceived risk facets perspective. Int. J. Hum. Comput. Stud. 59, 451–474 (2003)

    Article  Google Scholar 

  15. Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18, 39–50 (1981)

    Article  Google Scholar 

  16. Forsythe, S.M., Shi, B.: Consumer patronage and risk perceptions in internet shopping. J. Bus. Res. 56, 867–875 (2003)

    Article  Google Scholar 

  17. Frambach, R.T.: An integrated model of organizational adoption and diffusion of innovations. Eur. J. Mark. 27, 22–41 (1993)

    Article  Google Scholar 

  18. Grewal, D., Gotlieb, J., Marmorstein, H.: The moderating effects of message framing and source credibility on the price-perceived risk relationship. J. Consum. Res. 21, 145–153 (1994)

    Article  Google Scholar 

  19. Hair, J., Black, W., Babin, B., Anderson, R., Tatham, R.: Multivariate Data Analysis, 7th edn. Pearson Education, Upper Saddle River (2014)

    Google Scholar 

  20. Hamid, N.R., Cheng, A.Y.: A risk perception analysis on the use of electronic payment systems by young adult. Inf. Sci. Appl. 10, 26–35 (2013)

    Google Scholar 

  21. Hong, I.B.: Understanding the consumer’s online merchant selection process: the roles of product involvement, perceived risk, and trust expectation. Int. J. Inf. Manag. 35, 322–336 (2015)

    Article  Google Scholar 

  22. Ismail, S., Amin, H., Shayeri, S.F., Hasim, N.: Determinants of attitude towards credit card usage. J. Pengur. 41, 145–154 (2014)

    Article  Google Scholar 

  23. Jarvenpaa, S.L., Todd, P.A.: Consumer reactions to electronic shopping on the world wide web. Int. J. Electron. Commer. 1, 59–88 (1996)

    Article  Google Scholar 

  24. Jusoh, Z.D., Lin, L.Y.: Personal financial knowledge and attitude towards credit card practices among working adults in Malaysia. Int. J. Bus. Soc. Sci. 3, 176–185 (2012)

    Google Scholar 

  25. Kaynak, E., Harcar, T.: Consumer’s attitudes and intentions towards credit card usage in an advanced developing country. J. Financ. Serv. Mark. 6, 24–39 (2001)

    Article  Google Scholar 

  26. Khalilzadeh, J., Ozturk, A.B., Bilgihan, A.: Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Comput. Hum. Behav. 70, 460–474 (2017)

    Article  Google Scholar 

  27. Kim, D.J., Ferrin, D.L., Rao, H.R.: A trust-based consumer decision-making model in electronic commerce: the role of trust, perceived risk, and their antecedents. Decis. Support. Syst. 44, 544–564 (2008)

    Article  Google Scholar 

  28. Kim, K.K., Prabhakar, B., Park, K.S.: Trust, perceived risk, and trusting behavior in internet banking. Asia Pac. J. Inf. Syst. 19, 1–23 (2009)

    Article  Google Scholar 

  29. Laudon, K.C., Traver, C.G.: E-commerce: Business, Technology, Society. Pearson Education, Upper Saddle River (2014)

    Google Scholar 

  30. Lee, M.C.: Factors influencing the adoption of internet banking: an integration of TAM and TPB with perceived risk and perceived benefit. Electron. Commer. Res. Appl. 8, 130–141 (2009)

    Article  Google Scholar 

  31. Lee, J., Kwon, K.N.: Consumers’ use of credit cards: store credit card usage as an alternative payment and financing medium. J. Consum. Aff. 36, 239–262 (2002)

    Article  Google Scholar 

  32. Lydia, G.L., Maysami, R.C., Koh, H.C.: Singapore credit cardholders: ownership, usage patterns, and perceptions. J. Serv. Mark. 22, 267–279 (2008)

    Article  Google Scholar 

  33. Manzano, J., Navarre, C., Mafe, C., Blas, S.: Key drivers of internet banking services use. Online Inf. Rev. 33, 672–695 (2009)

    Article  Google Scholar 

  34. McDonald, R.P., Ho, M.-H.R.: Principles and practice in reporting structural equation analyses. Psychol. Methods 7, 64–82 (2002)

    Article  Google Scholar 

  35. Meier, A., Stormer, H.: eBusiness & eCommerce: Managing the Digital Value Chain. Springer, Berlin (2009)

    Book  Google Scholar 

  36. Mitchell, V.W.: Consumer perceived risk: conceptualisations and models. Eur. J. Mark. 33, 163–195 (1999)

    Article  Google Scholar 

  37. Murray, K.B.: A test of service marketing theory: consumer information acquisition activities. J. Mark. 55, 10–25 (1991)

    Article  Google Scholar 

  38. Nunnally, J.C., Berstein, I.H.: Pschychometric Theory, 3rd edn. McGraw-Hill, New York (1994)

    Google Scholar 

  39. Ooi, K.B., Tan, G.W.: Mobile technology acceptance model: an investigation using mobile users to explorer smartphone credit card. Expert. Syst. Appl. 59, 33–46 (2016)

    Article  Google Scholar 

  40. Ozturk, A.B.: Customer acceptance of cashless payment systems in the hospitality industry. Int. J. Contemp. Hosp. Manag. 28, 801–817 (2015)

    Article  Google Scholar 

  41. Payam, H., Hamid, R.K.: The mediating role of the dimensions of the perceived risk in the effect of customers’ awareness on the adoption of internet banking in Iran. Electron Commer. Res. 12, 151–175 (2012)

    Article  Google Scholar 

  42. Polasik, M., Wisniewski, T.P.: Empirical analysis of internet banking adoption in Poland. Int. J. Bank Mark. 27, 32–52 (2009)

    Article  Google Scholar 

  43. Roselius, T.: Consumer rankings of risk reduction methods. J. Mark. 35, 56–61 (1971)

    Article  Google Scholar 

  44. Roy, S.K., Balaji, M.S., Ankit, K., Sekhon, H.: Predicting internet banking adoption in India: a perceived risk perspective. J. Strat. Mark. 25, 418–438 (2016)

    Article  Google Scholar 

  45. Schumacker, R.E., Lomax, E.G.: A Beginner’s Guide to Structural Equation Modeling, 3rd edn. Taylor and Francis Group, New York (2010)

    MATH  Google Scholar 

  46. Shih, H.P.: An empirical study on predicting user acceptance of e-shopping on the web. Inf. Manag. 41, 351–368 (2004)

    Article  Google Scholar 

  47. Simon, J., Smith, K., West, T.: Price incentives and consumer payment behaviour. J. Bank. Financ. 34, 1759–1772 (2010)

    Article  Google Scholar 

  48. Stone, R.N., Gronhaug, K.: Perceived risk: further considerations for the marketing discipline. Eur. J. Mark. 27, 39–50 (1993)

    Article  Google Scholar 

  49. Tan, G.W., Ooi, K.B., Chong, S.C., Hew, T.S.: NFC mobile credit card - the next frontier of mobile payment. Telemat. Inform. 31, 292–307 (2014)

    Article  Google Scholar 

  50. Teoh, W.M., Chong, S.C., Yong, S.M.: Exploring the factors influencing credit card spending behavior among Malaysians. Int. J. Bank Mark. 31, 481–500 (2013)

    Article  Google Scholar 

  51. Tseng, S.Y.: Bringing enjoy shopping by using CC: the antecedents of internal beliefs. J. Econ. Econ. Educ. Res 17, 16–28 (2016)

    Google Scholar 

  52. Tu, T.T., Chang, H.H., Chiu, Y.H.: Investigation of the factors influencing the acceptance of electronic cash stored-value cards. Afr. J. Bus. Manag. 5, 108–120 (2011)

    Google Scholar 

  53. Varaprasad, G., Chandran, K.S., Sridharan, R., Unnithan, A.B.: An empirical investigation on credit card adoption in India. Int. J. Serv. Sci. Manag. Eng. Technol. 4, 13–29 (2013)

    Google Scholar 

  54. Vuong, D.H.Q., Trinh, H.N.: Perceived risk and the intention to use credit cards. Int. Res. J. Financ. Econ. 159, 76–89 (2017)

    Google Scholar 

  55. Vuong, D.H.Q., Trinh, H.N.: Vietnam credit card market: much potential and ineffective. Econ. Stud. 57, 47–56 (2017)

    Google Scholar 

  56. Wang, Y.M.: Determinants affecting consumer adoption of contactless credit card: an empirical study. Cyber Psychol. Behav. 11, 687–689 (2008)

    Article  Google Scholar 

  57. Wang, L., Wei, L., Jiang, L.: The impact of attitude variables on the credit debt behavior. Nankai Bus. Rev. Int. 2, 120–139 (2011)

    Article  Google Scholar 

  58. Yang, Q., Pang, C., Liu, L., Yen, D.C., Tarn, J.M.: Exploring consumer perceived risk and trust for online payments: an empirical study in China’s young generation. Comput. Hum. Behav. 50, 9–24 (2015)

    Article  Google Scholar 

  59. Zhao, A.L., Lloyd, S.H., Ward, P., Goode, M.M.: Perceived risk and Chinese consumers’ internet banking services adoption. Int. J. Bank Mark. 26, 505–525 (2008)

    Article  Google Scholar 

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Correspondence to Trinh Hoang Nam .

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Nam, T.H., Quan, V.D.H. (2019). Multi-dimensional Analysis of Perceived Risk on Credit Card Adoption. In: Kreinovich, V., Thach, N., Trung, N., Van Thanh, D. (eds) Beyond Traditional Probabilistic Methods in Economics. ECONVN 2019. Studies in Computational Intelligence, vol 809. Springer, Cham. https://doi.org/10.1007/978-3-030-04200-4_43

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