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User acceptance of ‘near field communication’ mobile phone service: an investigation based on the ‘unified theory of acceptance and use of technology’ model
16 references·16 citing·33 second hopsampled
User acceptance of ‘near field communication’ mobile phone service: an investigation based on the ‘unified theory of acceptance and use of technology’ model (2011)User acceptance of ‘near field communicat…Integrating TTF and UTAUT to explain mobile banking user adoption (2010)Integrating TTF and UTAUT to …Mobile commerce user acceptance study in China: A revised UTAUT model (2008)Mobile commerce user acceptan…Predicting consumer intention to use mobile service (2006)Predicting consumer intention…Adoption of Mobile Devices/Services — Searching for Answers with the UTAUT (2006)Adoption of Mobile Devices/Se…What drives mobile commerce? (2004)What drives mobile commerce?User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Explaining consumer acceptance of handheld Internet devices (2003)Explaining consumer acceptanc…Adoption of WAP-enabled mobile phones among Internet users (2003)Adoption of WAP-enabled mobil…Validation in Information Systems Research: A State-of-the-Art Assessment1 (2001)Validation in Information Sys…Structural Equation Modeling and Regression: Guidelines for Research Practice (2000)Structural Equation Modeling …Applications of structural equation modeling in marketing and consumer research: A review (1996)Applications of structural eq…Computer Self-Efficacy: Development of a Measure and Initial Test (1995)Computer Self-Efficacy: Devel…Assessing IT Usage: The Role of Prior Experience (1995)Assessing IT Usage: The Role …Structural equation modeling in practice: A review and recommended two-step approach. (1988)Structural equation modeling …A technology acceptance model for empirically testing new end-user information systems : theory and results (1985)A technology acceptance model…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Exploring Iranian english as a foreign language teachers’ acceptance of ChatGPT in english language teaching: Extending the technology acceptance model (2024)Exploring Iranian english as …Using the UTAUT model to analyze user intention to accept electronic payment systems in Serbia (2022)Using the UTAUT model to anal…Nursing students' intent to use AI-based healthcare technology: Path analysis using the unified theory of acceptance and use of technology (2022)Nursing students' intent to u…Do digital natives use mobile payment differently than digital immigrants? A comparative study between generation X and Z (2022)Do digital natives use mobile…The Evolving Research of Customer Adoption of Digital Payment: Learning from Content and Statistical Analysis of the Literature (2021)The Evolving Research of Cust…Customers’ perceptions of FinTech adaptability in the Islamic banking sector: comparative study on Malaysia and Saudi Arabia (2021)Customers’ perceptions of Fin…What drives the adoption of mobile payment? A Malaysian perspective (2019)What drives the adoption of m…User anxiety as an external variable of technology acceptance model: A meta-analytic study (2019)User anxiety as an external v…Sharing and storage behavior via cloud computing: Security and privacy in research and practice (2018)Sharing and storage behavior …Examining Trust and Risk in Mobile Money Acceptance in Uganda (2017)Examining Trust and Risk in M…Predicting Internet banking adoption in India: a perceived risk perspective (2016)Predicting Internet banking a…Not fearless, but self-enhanced: The effects of anxiety on the willingness to use autonomous cars depend on individual levels of self-enhancement (2016)Not fearless, but self-enhanc…How do post-usage factors and espoused cultural values impact mobile payment continuation? (2016)How do post-usage factors and…Factors influencing Near Field Communication (NFC) adoption: An extended TAM approach (2015)Factors influencing Near Fiel…Can mobile TV be a new revolution in the television industry? (2015)Can mobile TV be a new revolu…Adoption of mobile social networking sites for learning? (2015)Adoption of mobile social net…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)Understanding Information Technology Usage: A Test of Competing Models (1995)Trust and TAM in Online Shopping: An Integrated Model1 (2003)Alternative Ways of Assessing Model Fit (1992)Measuring the Customer Experience in Online Environments: A Structural Modeling Approach (2000)The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs (2007)An empirical comparison of the efficacy of covariance-based and variance-based SEM (2009)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Older Adults' Reasons for Using Technology while Aging in Place (2015)Diffusion of Innovations 1 (2019)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)Self-efficacy: Toward a unifying theory of behavioral change. (1977)Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (2000)Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)On the Evaluation of Structural Equation Models (1988)Understanding information technology acceptance by individual professionals: Toward an integrative view (2005)A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects (2006)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research (2006)Specification, evaluation, and interpretation of structural equation models (2011)Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations (2012)Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application (2013)Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016)Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017)When to use and how to report the results of PLS-SEM (2018)
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 1988Structural equation modeling in practice: A review and recommended two-step approach.41,858 cited
  • 2000Structural Equation Modeling and Regression: Guidelines for Research Practice6,417 cited
  • 1995Computer Self-Efficacy: Development of a Measure and Initial Test6,414 cited
  • 1985A technology acceptance model for empirically testing new end-user information systems : theory and results6,184 cited
  • 1995Assessing IT Usage: The Role of Prior Experience2,887 cited
  • 1996Applications of structural equation modeling in marketing and consumer research: A review2,550 cited
  • 2004What drives mobile commerce?2,282 cited
  • 2010Integrating TTF and UTAUT to explain mobile banking user adoption1,696 cited
  • 2003Explaining consumer acceptance of handheld Internet devices1,028 cited
  • 2001Validation in Information Systems Research: A State-of-the-Art Assessment1959 cited
  • 2006Predicting consumer intention to use mobile service641 cited
  • 2003Adoption of WAP-enabled mobile phones among Internet users541 cited
  • 2006

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Adoption of Mobile Devices/Services — Searching for Answers with the UTAUT
373 cited
  • 2008Mobile commerce user acceptance study in China: A revised UTAUT model346 cited
  • Cited by

    • 2022Nursing students' intent to use AI-based healthcare technology: Path analysis using the unified theory of acceptance and use of technology141 cited
    • 2016Predicting Internet banking adoption in India: a perceived risk perspective128 cited
    • 2015Factors influencing Near Field Communication (NFC) adoption: An extended TAM approach126 cited
    • 2021The Evolving Research of Customer Adoption of Digital Payment: Learning from Content and Statistical Analysis of the Literature124 cited
    • 2016Not fearless, but self-enhanced: The effects of anxiety on the willingness to use autonomous cars depend on individual levels of self-enhancement116 cited
    • 2022Do digital natives use mobile payment differently than digital immigrants? A comparative study between generation X and Z107 cited
    • 2015Adoption of mobile social networking sites for learning?106 cited
    • 2016How do post-usage factors and espoused cultural values impact mobile payment continuation?102 cited
    • 2017Examining Trust and Risk in Mobile Money Acceptance in Uganda100 cited
    • 2021Customers’ perceptions of FinTech adaptability in the Islamic banking sector: comparative study on Malaysia and Saudi Arabia95 cited
    • 2024Exploring Iranian english as a foreign language teachers’ acceptance of ChatGPT in english language teaching: Extending the technology acceptance model82 cited
    • 2018Sharing and storage behavior via cloud computing: Security and privacy in research and practice77 cited
    • 2019What drives the adoption of mobile payment? A Malaysian perspective76 cited
    • 2015Can mobile TV be a new revolution in the television industry?73 cited
    • 2019User anxiety as an external variable of technology acceptance model: A meta-analytic study69 cited
    • 2022Using the UTAUT model to analyze user intention to accept electronic payment systems in Serbia64 cited