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http://dx.doi.org/10.18807/jsrs.2017.7.4.051

An Application of Fuzzy AHP and TOPSIS Methodology for Ranking the Factors Influencing FinTech Adoption Intention: A Comparative Study of China and Korea  

Mu, Hong-Lei (International Business Cooperate Course, Graduate School of Dongguk University)
Lee, Young-Chan (Dept. of Business Administration, Dongguk University)
Publication Information
Journal of Service Research and Studies / v.7, no.4, 2017 , pp. 51-68 More about this Journal
Abstract
Financial technology (FinTech) is an emerging financial service sector include innovations in financial literacy and investment, retail banking, education, and crypto-currencies like bitcoin. One of the crucial branch of financial technology-third-party payment (TPP) is undergoing rapid growth, with online/mobile systems replacing offline financial systems. System quality and user attitudes are key perceptions driving third-party payment usage, the importance of these perceptions, however, may be different with countries as users' thinking varies from country to country. Thus, the purpose of this study is to elaborate how factors differ from China to Korea by drawing on the unified theory of acceptance and use of technology (UTAUT2). Additionally, this study also aims to propose a multi-attribute evaluation of the third-party online payment system based on analytic hierarchy process (AHP), fuzzy sets and technique for order performance by similarity to ideal solution (TOPSIS), to examine the relative importance of the perceptions influencing new technology adoption intention. The results showed that the price value has the most significant influence on Chinese perceptions, while the perceived credibility has the most significant effect on Korean perceptions. Sub-criteria also performs different results to Chinese and Korean third-party online payment system.
Keywords
UTAUT; Multi-Criteria Decision Making; AHP; TOPSIS; Fuzzy; FinTech;
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