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An empirical examination of factors influencing the intention to use mobile payment
15 references·16 citing·16 second hop
An empirical examination of factors influencing the intention to use mobile payment (2009)An empirical examination of factors influ…Diffusion of Innovations 1 (2019)Diffusion of Innovations 1Toward an understanding of the behavioral intention to use mobile banking (2004)Toward an understanding of th…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Understanding Service Convenience (2002)Understanding Service Conveni…Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (2000)Determinants of Perceived Eas…A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…Are Individual Differences Germane to the Acceptance of New Information Technologies? (1999)Are Individual Differences Ge…A Model of the Antecedents of Perceived Ease of Use: Development and Test (1996)A Model of the Antecedents of…User acceptance of information technology: system characteristics, user perceptions and behavioral impacts (1993)User acceptance of informatio…The theory of planned behavior (1991)The theory of planned behaviorUser Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)User Acceptance of Computer T…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…A technology acceptance model for empirically testing new end-user information systems : theory and results (1985)A technology acceptance model…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Belief, Attitude, Intention a…Emerging Value Propositions For M-Commerce (1970)Emerging Value Propositions F…Understanding the attitude and intention to use smartphone chatbots for shopping (2020)Understanding the attitude an…Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020)Understanding consumer adopti…Developing a general extended UTAUT model for M-payment adoption (2020)Developing a general extended…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)Determining factors in the ad…Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model (2019)Adoption Intention of Fintech…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…Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card (2016)Mobile technology acceptance …A SEM-neural network approach for predicting antecedents of m-commerce acceptance (2016)A SEM-neural network approach…Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust (2015)Modeling Consumers’ Adoption …It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels (2015)It's about time: Revisiting U…Investigating users’ perspectives on e-learning: An integration of TAM and IS success model (2015)Investigating users’ perspect…An empirical examination of continuance intention of mobile payment services (2012)An empirical examination of c…A meta-analysis of mobile commerce adoption and the moderating effect of culture (2012)A meta-analysis of mobile com…Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits (2011)Mobile payment services adopt…An empirical examination of initial trust in mobile banking (2011)An empirical examination of i…Self-efficacy mechanism in human agency. (1982)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Understanding Attitudes and Predicting Social Behavior (1980)Coefficient Alpha and the Internal Structure of Tests (1951)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)The Strength of Weak Ties (1973)Diffusion of innovations. (2003)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Understanding Information Technology Usage: A Test of Competing Models (1995)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Older Adults' Reasons for Using Technology while Aging in Place (2015)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)Trust and TAM in Online Shopping: An Integrated Model1 (2003)
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References

  • 1991The theory of planned behavior90,729 cited
  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2019Diffusion of Innovations 137,320 cited
  • 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research36,736 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies22,991 cited
  • 2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model6,658 cited
  • 1985A technology acceptance model for empirically testing new end-user information systems : theory and results6,184 cited
  • 1993User acceptance of information technology: system characteristics, user perceptions and behavioral impacts4,751 cited
  • 1996A Model of the Antecedents of Perceived Ease of Use: Development and Test3,799 cited
  • 1999Are Individual Differences Germane to the Acceptance of New Information Technologies?2,105 cited
  • 2004Toward an understanding of the behavioral intention to use mobile banking1,963 cited
  • 2002Understanding Service Convenience

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1,613 cited
  • 1970Emerging Value Propositions For M-Commerce456 cited
  • Cited by

    • 2015Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust920 cited
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    • 2020Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal826 cited
    • 2015Investigating users’ perspectives on e-learning: An integration of TAM and IS success model779 cited
    • 2011Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits679 cited
    • 2020Understanding the attitude and intention to use smartphone chatbots for shopping636 cited
    • 2019Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence599 cited
    • 2017Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry597 cited
    • 2011An empirical examination of initial trust in mobile banking589 cited
    • 2016Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card585 cited
    • 2016A SEM-neural network approach for predicting antecedents of m-commerce acceptance583 cited
    • 2019Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model576 cited
    • 2015It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels553 cited
    • 2012A meta-analysis of mobile commerce adoption and the moderating effect of culture541 cited
    • 2017Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach529 cited
    • 2020Developing a general extended UTAUT model for M-payment adoption528 cited