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NFC mobile credit card: The next frontier of mobile payment?
16 references·16 citing·26 second hopsampled
NFC mobile credit card: The next frontier of mobile payment? (2013)NFC mobile credit card: The next frontier…Diffusion of Innovations 1 (2019)Diffusion of Innovations 1Principles and Practice of Structural Equation Modeling (2012)Principles and Practice of St…Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1 (2000)Why Don’t Men Ever Stop to As…Structural equation modeling with AMOS: basic concepts, applications, and programming (2000)Structural equation modeling …A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…Principles and Practice of Structural Equation Modeling (1998)Principles and Practice of St…Alternative Ways of Assessing Model Fit (1992)Alternative Ways of Assessing…The theory of planned behavior (1991)The theory of planned behaviorPredicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior (1991)Predicting User Intentions: C…Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Development of an Instrument …User 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…Structural equation modeling in practice: A review and recommended two-step approach. (1988)Structural equation modeling …On the Evaluation of Structural Equation Models (1988)On the Evaluation of Structur…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Belief, Attitude, Intention a…A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application (2021)A new acceptance model for ar…Wearable payment: A deep learning-based dual-stage SEM-ANN analysis (2020)Wearable payment: A deep lear…The disruptive mobile wallet in the hospitality industry: An extended mobile technology acceptance model (2020)The disruptive mobile wallet …QR code and mobile payment: The disruptive forces in retail (2020)QR code and mobile payment: T…A hybrid SEM-neural network analysis of social media addiction (2019)A hybrid SEM-neural network a…What determines tourist adoption of smartphone apps? (2018)What determines tourist adopt…Gender and age: Do they really moderate mobile tourism shopping behavior? (2018)Gender and age: Do they reall…Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective (2018)Factors Affecting Mobile Paym…Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study (2018)Exploring consumers perceived…The age of mobile social commerce: An Artificial Neural Network analysis on its resistances (2017)The age of mobile social comm…Cloud computing in manufacturing: The next industrial revolution in Malaysia? (2017)Cloud computing in manufactur…The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments (2015)The effects of product-relate…An SEM–artificial-neural-network analysis of the relationships between SERVPERF, customer satisfaction and loyalty among low-cost and full-service airline (2015)An SEM–artificial-neural-netw…An empirical study on trust in mobile banking: A developing country perspective (2015)An empirical study on trust i…Exploring consumer adoption of proximity mobile payments (2014)Exploring consumer adoption o…Understanding and predicting the motivators of mobile music acceptance – A multi-stage MRA-artificial neural network approach (2013)Understanding and predicting …Self-efficacy mechanism in human agency. (1982)User Acceptance of Information Technology: Toward A Unified View1 (2003)Structural Model Evaluation and Modification: An Interval Estimation Approach (1990)Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. (1998)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance (2002)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)Construct validity in psychological tests. (1955)Review of Psychometric theory (2nd ed.). (1979)Significance tests and goodness of fit in the analysis of covariance structures. (1980)The Commitment-Trust Theory of Relationship Marketing (1994)PLS-SEM: Indeed a Silver Bullet (2011)Multidimensional Assessment of Emotion Regulation and Dysregulation: Development, Factor Structure, and Initial Validation of the Difficulties in Emotion Regulation Scale (2003)Structural Equation Modelling: Guidelines for Determining Model Fit (2008)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)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)POSITIVE PSYCHOLOGICAL CAPITAL: MEASUREMENT AND RELATIONSHIP WITH PERFORMANCE AND SATISFACTION (2007)Measurement invariance conventions and reporting: The state of the art and future directions for psychological research (2016)Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2019)When to use and how to report the results of PLS-SEM (2018)PSYCHOLOGICAL, EMPOWERMENT IN THE WORKPLACE: DIMENSIONS, MEASUREMENT AND VALIDATION. (1995)An assessment of the use of partial least squares structural equation modeling in marketing research (2011)
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 1991The theory of planned behavior90,729 cited
  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 1988Structural equation modeling in practice: A review and recommended two-step approach.41,858 cited
  • 2012Principles and Practice of Structural Equation Modeling38,893 cited
  • 2019Diffusion of Innovations 137,320 cited
  • 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research36,736 cited
  • 1998Principles and Practice of Structural Equation Modeling36,041 cited
  • 1992Alternative Ways of Assessing Model Fit27,192 cited
  • 1988On the Evaluation of Structural Equation Models26,139 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
  • 2000Structural equation modeling with AMOS: basic concepts, applications, and programming17,968 cited
  • 1991Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation9,145 cited
  • 2000

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Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1
4,353 cited
  • 1991Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior4,215 cited
  • Cited by

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    • 2014Exploring consumer adoption of proximity mobile payments352 cited
    • 2017Cloud computing in manufacturing: The next industrial revolution in Malaysia?341 cited
    • 2015An SEM–artificial-neural-network analysis of the relationships between SERVPERF, customer satisfaction and loyalty among low-cost and full-service airline314 cited
    • 2018Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective312 cited
    • 2017The age of mobile social commerce: An Artificial Neural Network analysis on its resistances285 cited
    • 2018Gender and age: Do they really moderate mobile tourism shopping behavior?283 cited
    • 2015The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments278 cited
    • 2020The disruptive mobile wallet in the hospitality industry: An extended mobile technology acceptance model277 cited
    • 2020Wearable payment: A deep learning-based dual-stage SEM-ANN analysis273 cited
    • 2018Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study270 cited
    • 2019A hybrid SEM-neural network analysis of social media addiction262 cited
    • 2018What determines tourist adoption of smartphone apps?257 cited
    • 2020QR code and mobile payment: The disruptive forces in retail252 cited
    • 2013Understanding and predicting the motivators of mobile music acceptance – A multi-stage MRA-artificial neural network approach251 cited