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Analysis of Determinant Factors of User Acceptance of Mobile Payment System in Indonesia (A Case Study of Go-Pay Mobile Payment)
13 references·16 citing·33 second hop
Analysis of Determinant Factors of User Acceptance of Mobile Payment System in Indonesia (A Case Study of Go-Pay Mobile Payment) (2018)Analysis of Determinant Factors of User A…The Moderation Effect of Age on Adopting E-Payment Technology (2017)The Moderation Effect of Age …Service Quality Analysis for Online Transportation Services: Case Study of GO-JEK (2017)Service Quality Analysis for …Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry (2017)Security-related factors in e…Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach (2017)Predicting the determinants o…Factors that Affecting Behavioral Intention in Online Transportation Service: Case study of GO-JEK (2017)Factors that Affecting Behavi…Consumers' willingness to adopt and use WeChat wallet: An empirical study in South Africa (2017)Consumers' willingness to ado…Consumer preference and satisfaction of M-wallets: a study on North Indian consumers (2017)Consumer preference and satis…Predicting the adoption of mobile financial services: The impacts of perceived mobility and personal habit (2016)Predicting the adoption of mo…User behaviour in QR mobile payment system: the QR Payment Acceptance Model (2015)User behaviour in QR mobile p…Determinants of the intention to use NFC technology as a payment system: an acceptance model approach (2015)Determinants of the intention…A Model of Factors Influencing Consumer's Intention To Use E-payment System in Indonesia (2015)A Model of Factors Influencin…Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014)Antecedents of the adoption o…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Healthcare Voice AI Assistants: Factors Influencing Trust and Intention to Use (2024)Healthcare Voice AI Assistant…Financial Technology (FinTech) as a Financial Development Factor in the EU Countries (2023)Financial Technology (FinTech…Factors Influencing Behavioural Intention to Embrace Sustainable Mobile Payment Based on Indian User Perspective (2023)Factors Influencing Behaviour…The Use of the Technology Acceptance Model to analyse the Cloud-Based Payment Systems: A Comprehensive Review of the Literature (2022)The Use of the Technology Acc…The Mobility and Its Impact on Mobile Payment Adoption (2022)The Mobility and Its Impact o…The Antecedent of Relative Advantage in Mobile Payment E-Wallet (2022)The Antecedent of Relative Ad…role of trust in mediating the effect of perceived usefulness and perceived ease of use on decisions to use the LinkAja digital wallet (2022)role of trust in mediating th…Perceived Mobility of Mobile Payments: Mediation Model of User Usefulness (2022)Perceived Mobility of Mobile …Modeling the Enablers to FinTech Innovation in Saudi Arabia: A Hybrid Approach Using ISM and ANP (2022)Modeling the Enablers to FinT…Model of Relative Advantage on Mobile Payment (2022)Model of Relative Advantage o…Mediation Model of Relative Advantage in Mobile Payment (2022)Mediation Model of Relative A…Influence of COVID-19 pandemic on the intention to adopt mobile payment systems in India (2022)Influence of COVID-19 pandemi…Continuance intention of mobile payment Using modified extending model of acceptance and use of technology (2022)Continuance intention of mobi…Factors influencing the adoption of mobile payment systems in Indonesia (2021)Factors influencing the adopt…THE DETERMINANT FACTORS OF MOBILE PAYMENT ADOPTION (2020)THE DETERMINANT FACTORS OF MO…Stimulus Factors of Order Online Food Delivery (2019)Stimulus Factors of Order Onl…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy mechanism in human agency. (1982)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)User Acceptance of Information Technology: Toward A Unified View1 (2003)Factors influencing adoption of e-payment systems: an empirical study on Iranian customers (2016)The moderation effect of gender on accepting electronic payment technology: a study on United Arab Emirates consumers (2021)Determinants of Intention to Use e-Wallet: Personal Innovativeness and Propensity to Trust as Moderators (2022)The theory of planned behavior (1991)Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017)Automated vehicle acceptance in China: Social influence and initial trust are key determinants (2020)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)How does gamification improve user experience? An empirical investigation on the antecedences and consequences of user experience and its mediating role (2018)Are CRM systems ready for AI integration? (2019)Social media influencers: An effective marketing approach? (2023)A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment (2017)Intention to use new mobile payment systems: a comparative analysis of SMS and NFC payments (2017)The moderating effects of gender on customer satisfaction and continuance intention in mobile commerce: a UTAUT-based perspective (2019)Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender (2018)Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust (2018)Developing a general extended UTAUT model for M-payment adoption (2020)Assessment of mobile technology use in the emerging market: Analyzing intention to use m-payment services in India (2020)The moderating role of gender and age in the adoption of mobile wallet (2020)Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach (2021)Technological Factors of Mobile Payment: A Systematic Literature Review (2019)The role of cognitive absorption in predicting mobile internet users’ continuance intention: An extension of the expectation-confirmation model (2020)Drivers and inhibitors for digital payment adoption using the Cashless Society Readiness-Adoption model in Malaysia (2021)How perceived trust mediates merchant's intention to use a mobile wallet technology (2019)What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? (2020)A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach (2022)To use or not to use, that is the question: Analysis of the determining factors for using NFC mobile payment systems in public transportation (2018)
this work references cited by second hop

References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2017Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry597 cited
  • 2017Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach529 cited
  • 2014Antecedents of the adoption of the new mobile payment systems: The moderating effect of age504 cited
  • 2015User behaviour in QR mobile payment system: the QR Payment Acceptance Model201 cited
  • 2015A Model of Factors Influencing Consumer's Intention To Use E-payment System in Indonesia199 cited
  • 2017Consumer preference and satisfaction of M-wallets: a study on North Indian consumers199 cited
  • 2015Determinants of the intention to use NFC technology as a payment system: an acceptance model approach176 cited
  • 2017Consumers' willingness to adopt and use WeChat wallet: An empirical study in South Africa164 cited
  • 2016Predicting the adoption of mobile financial services: The impacts of perceived mobility and personal habit143 cited
  • 2017Service Quality Analysis for Online Transportation Services: Case Study of GO-JEK142 cited
  • 2017Factors that Affecting Behavioral Intention in Online Transportation Service: Case study of GO-JEK109 cited
  • 2017The Moderation Effect of Age on Adopting E-Payment Technology70 cited

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Cited by

  • 2023Financial Technology (FinTech) as a Financial Development Factor in the EU Countries61 cited
  • 2024Healthcare Voice AI Assistants: Factors Influencing Trust and Intention to Use42 cited
  • 2021Factors influencing the adoption of mobile payment systems in Indonesia42 cited
  • 2022Perceived Mobility of Mobile Payments: Mediation Model of User Usefulness27 cited
  • 2022Modeling the Enablers to FinTech Innovation in Saudi Arabia: A Hybrid Approach Using ISM and ANP17 cited
  • 2022Influence of COVID-19 pandemic on the intention to adopt mobile payment systems in India16 cited
  • 2019Stimulus Factors of Order Online Food Delivery16 cited
  • 2023Factors Influencing Behavioural Intention to Embrace Sustainable Mobile Payment Based on Indian User Perspective15 cited
  • 2022The Antecedent of Relative Advantage in Mobile Payment E-Wallet11 cited
  • 2022role of trust in mediating the effect of perceived usefulness and perceived ease of use on decisions to use the LinkAja digital wallet10 cited
  • 2022Model of Relative Advantage on Mobile Payment9 cited
  • 2022Continuance intention of mobile payment Using modified extending model of acceptance and use of technology8 cited
  • 2022Mediation Model of Relative Advantage in Mobile Payment8 cited
  • 2020THE DETERMINANT FACTORS OF MOBILE PAYMENT ADOPTION7 cited
  • 2022The Use of the Technology Acceptance Model to analyse the Cloud-Based Payment Systems: A Comprehensive Review of the Literature7 cited
  • 2022The Mobility and Its Impact on Mobile Payment Adoption7 cited