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Consumer valuation of Fintech: The case of Mobile Payment in Korea

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  • Ha, Jinkyung

Abstract

Fintech, the convergence of finance and internet related technology, is regard as new promising financial service. Among Fintech services, mobile payment which is new type of payment tool for consumer with smartphone started to draw attention. As the mobile payment started to replace current payment service, consumer valuation of the service is important as business viewpoint. In the case of valuation, totally four important attributes (origin, availability, economic benefit, and accessibility) were postulated for consumer decision making of mobile payment. This study conducted conjoint analysis to define ideal pair of mobile payment attributes. Result showed that among the four attributes, availability which refers to where the service can be used was mostly valued from consumers. This result corresponded to both user and non-user of mobile payment.

Suggested Citation

  • Ha, Jinkyung, 2018. "Consumer valuation of Fintech: The case of Mobile Payment in Korea," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190341, International Telecommunications Society (ITS).
  • Handle: RePEc:zbw:itsb18:190341
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    1. Kara, Ali & Kaynak, Erdener & Kucukemiroglu, Orsay, 1996. "An empirical investigation of US credit card users: Card choice and usage behavior," International Business Review, Elsevier, vol. 5(2), pages 209-230, April.
    2. Chakravorti Sujit, 2003. "Theory of Credit Card Networks: A Survey of the Literature," Review of Network Economics, De Gruyter, vol. 2(2), pages 1-19, June.
    3. Hwang, ShinYoung & Kim Seongcheol, 2017. "What triggers the use of mIM service provider’s sequel O2O service extensions?," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168494, International Telecommunications Society (ITS).
    4. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
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