Authors : Kyung-Min An, Young-Chan Lee and Qin Yang
Abstract: This study investigates core factors that influence the online P2P lending and their relationships in selecting the most preferred online P2P lending website. Based on IS success model with ANP and fuzzy TOPSIS, the research conducts an evaluation model. The ANP is used for determining weights of updated IS success model’s criteria, fuzzy sets are adopted to recommend ambiguity with linguistic values and TOPSIS is a useful tool to get final ranking on the list. The study was examined by 6 e-Business specialists. This study investigates the online P2P lending with updated IS success model. The major results of this study offer the online P2P lending company decision makers with valuable information to enhance business quality. First, trust is an extremely essential factor than others within an online P2P lending website. Because all transactions are conducted in the virtual space, lenders and borrowers can only meet in the online platform during the financial transactions. If they don’t trust these websites, they can’t deal with a contract. Second, in the online P2P lending, the information quality posted has much influence on trust and satisfaction. The investors who participate in this online market intend to investigate borrower’s information from this site before making investment decisions. Finally, this study suggests efficient operating scheme in this field.
Kyung-Min An, Young-Chan Lee and Qin Yang, 2017. A Successful Strategy of Online P2P Lending using ANP-Fuzzy TOPSIS Method: Focusing on Updated IS Success Model. Journal of Engineering and Applied Sciences, 12: 7441-7446.