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The Effect of Personal Factors on Consumers’ Trust in Mobile Payment Systems in Australia
16 references·0 citing·39 second hopsampled
The Effect of Personal Factors on Consumers’ Trust in Mobile Payment Systems in Australia (2018)The Effect of Personal Factors on Consume…Understanding Continuance Intention of Mobile Payment Services: An Empirical Study (2016)Understanding Continuance Int…Trust and mobile commerce in North America (2016)Trust and mobile commerce in …Intention to Use Mobile Payment System: A Case of Developing Market by Ethnicity (2016)Intention to Use Mobile Payme…Factors Affecting the Adoption of Mobile Payment Systems: An Empirical Analysis (2016)Factors Affecting the Adoptio…Investigating the factors influencing the adoption of m-banking: a cross cultural study (2015)Investigating the factors inf…Influencing factors of trust in consumer-to-consumer electronic commerce with gender and age (2015)Influencing factors of trust …Exploring consumer perceived risk and trust for online payments: An empirical study in China’s younger generation (2015)Exploring consumer perceived …Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation (2015)Examining the role of initial…Role of gender on acceptance of mobile payment (2014)Role of gender on acceptance …Online shopping drivers and barriers for older adults: Age and gender differences (2014)Online shopping drivers and b…Consumer attitudes on mobile payment services – results from a proof of concept test (2014)Consumer attitudes on mobile …Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014)Antecedents of the adoption o…An Empirical Examination of Initial Trust in Mobile Payment (2014)An Empirical Examination of I…Factors influencing consumers' online shopping in China (2013)Factors influencing consumers…Realising M-Payments: modelling consumers' willingness to M-pay using Smart Phones (2012)Realising M-Payments: modelli…Exploring convenience in mobile commerce: Moderating effects of gender (2012)Exploring convenience in mobi…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective (2016)Mobile-banking adoption: empirical evidence from the banking sector in Pakistan (2018)Consumer attitude and intention to adopt mobile wallet in India – An empirical study (2019)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)A SEM-neural network approach for predicting antecedents of m-commerce acceptance (2016)Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation (2018)The Strength of Weak Ties (1973)An Integrative Model Of Organizational Trust (1995)Antecedents of trust in the sharing economy: A systematic review (2017)The role of live streaming in building consumer trust and engagement with social commerce sellers (2018)Why do people purchase from online travel agencies (OTAs)? A consumption values perspective (2020)Evolving to a New Dominant Logic for Marketing (2003)Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers? (2016)Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services (2017)Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective (2018)Diffusion of Innovations 1 (2019)Structural equation modeling in practice: A review and recommended two-step approach. (1988)What makes users willing or hesitant to use Fintech?: the moderating effect of user type (2018)Understanding impulse buying in mobile commerce: An investigation into hedonic and utilitarian browsing (2019)Why do people use information technology? A critical review of the technology acceptance model (2002)Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016)Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach (2019)Understanding the attitude and intention to use smartphone chatbots for shopping (2020)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents (2020)Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms (2022)Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology (2016)Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence (2019)Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020)Factors Influencing Online Shopping Behavior: The Mediating Role of Purchase Intention (2016)Understanding and predicting antecedents of mobile shopping adoption (2017)A study on factors limiting online shopping behaviour of consumers (2021)Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card (2016)The roles of initial trust and perceived risk in public’s acceptance of automated vehicles (2018)Alexa, do voice assistants influence consumer brand engagement? – Examining the role of AI powered voice assistants in influencing consumer brand engagement (2020)
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References

  • 2014Online shopping drivers and barriers for older adults: Age and gender differences660 cited
  • 2014Antecedents of the adoption of the new mobile payment systems: The moderating effect of age523 cited
  • 2015Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation480 cited
  • 2015Exploring consumer perceived risk and trust for online payments: An empirical study in China’s younger generation425 cited
  • 2012Exploring convenience in mobile commerce: Moderating effects of gender244 cited
  • 2014Consumer attitudes on mobile payment services – results from a proof of concept test236 cited
  • 2014Role of gender on acceptance of mobile payment207 cited
  • 2015Influencing factors of trust in consumer-to-consumer electronic commerce with gender and age192 cited
  • 2015Investigating the factors influencing the adoption of m-banking: a cross cultural study175 cited
  • 2013Factors influencing consumers' online shopping in China166 cited
  • 2014An Empirical Examination of Initial Trust in Mobile Payment163 cited
  • 2016Understanding Continuance Intention of Mobile Payment Services: An Empirical Study153 cited
  • 2012Realising M-Payments: modelling consumers' willingness to M-pay using Smart Phones137 cited
  • 2016Factors Affecting the Adoption of Mobile Payment Systems: An Empirical Analysis

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125 cited
  • 2016Intention to Use Mobile Payment System: A Case of Developing Market by Ethnicity113 cited
  • 2016Trust and mobile commerce in North America101 cited
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