Analysis of Determinant Factors of User Acceptance of Mobile Payment System in Indonesia (A Case Study of Go-Pay Mobile Payment)

Yakob Utama Chandra · Desi Maya Kristin · Joni Suhartono · Fina Shabrina Sutarto · Minseol Sung

53 citations0/0 files storedInternational Conference on Information Management and Technology (ICIMTech)

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Technology Adoption and User Behaviour Consumer Behavior and Marketing Influence Health, Technology, Consumer Behavior

Abstract

Mobile payment in Indonesia is designed to help the growth of online transport, such as GO-J ek with mobile payment products, which is the GO-Pay mobile payment to make it easier for customers to pay drivers and merchants. The study was carried out for the analysis and evaluation of the acceptance of technology in the mobile payment GO-Pay using the technology acceptance model (TAM). The research was carried out using the quantitative research approach by obtaining 284 active respondents using the GO-Pay mobile payment. The research question in this research is whether GO-Pay as a mobile payment system can be accepted in Indonesia? The result of this research is factor of perceived about usefulness, ease of use, mobility, and the attitude factor can make GO-Pay as mobile payment is acceptable in Indonesia. For the perceived trust, it is not a significant effect, but the effect on perceived trust is perceived reputation, while for the environmental risk it does not affect the perceived reputation.

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1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2017Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry 2017Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach 2014Antecedents of the adoption of the new mobile payment systems: The moderating effect of age 2015User behaviour in QR mobile payment system: the QR Payment Acceptance Model 2015A Model of Factors Influencing Consumer's Intention To Use E-payment System in Indonesia 2017Consumer preference and satisfaction of M-wallets: a study on North Indian consumers 2015Determinants of the intention to use NFC technology as a payment system: an acceptance model approach

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