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Grab Pay App: The Factors Influencing Tourists’ Behavioural Intention-to-Use
16 references·1 citing·40 second hop
Grab Pay App: The Factors Influencing Tourists’ Behavioural Intention-to-Use (2020)Grab Pay App: The Factors Influencing Tou…Understanding mobile payment users’ continuance intention: a trust transfer perspective (2018)Understanding mobile payment …Multiple Skills and Medium Enterprises’ Performance in Punjab Pakistan: A Pilot Study (2018)Multiple Skills and Medium En…Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card (2016)Mobile technology acceptance …Factors Affecting the Adoption of Mobile Payment Systems: An Empirical Analysis (2016)Factors Affecting the Adoptio…User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust (2014)User satisfaction with mobile…Understanding the determinants of mobile payment continuance usage (2014)Understanding the determinant…Factors influencing teachers’ intention to use technology: Model development and test (2011)Factors influencing teachers’…A combinative model of behavioural and technical factors affecting ‘Mobile’-payment services adoption: an empirical study (2011)A combinative model of behavi…Evaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems: An Empirical Analysis (2010)Evaluating the Role of Trust …The Technology Acceptance Model: Its past and its future in health care (2009)The Technology Acceptance Mod…An empirical examination of factors influencing the intention to use mobile payment (2009)An empirical examination of f…G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)G*Power 3: A flexible statist…A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Understanding Attitudes and Predicting Social Behavior (1980)Understanding Attitudes and P…The prediction of behavior from attitudinal and normative variables (1970)The prediction of behavior fr…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…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)Assessing Common Method Bias: Problems with the ULMC Technique1 (2012)Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender (2018)Trust in AI: progress, challenges, and future directions (2024)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 new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Social learning and clinical psychology. (1954)The Measurement of Meaning (1957)On the social psychology of the psychological experiment: With particular reference to demand characteristics and their implications. (1962)Attitudes towards objects as predictors of single and multiple behavioral criteria. (1974)Attitudes, Traits, and Actions: Dispositional Prediction of Behavior in Personality and Social Psychology (1987)Forming attitudes that predict future behavior: A meta-analysis of the attitude-behavior relation. (2006)The theory of planned behavior (1991)User Acceptance of Information Technology: Toward A Unified View1 (2003)An empirical examination of continuance intention of mobile payment services (2012)Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust (2015)Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal (2020)Factors influencing acceptance of technology for aging in place: A systematic review (2014)A Systematic Review of the Technology Acceptance Model in Health Informatics (2018)The roles of initial trust and perceived risk in public’s acceptance of automated vehicles (2018)Diffusion of Innovations 1 (2019)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Perceived Ease of Use and Perceived Usefulness of Social Media for e-Learning in Libyan Higher Education: A Structural Equation Modeling Analysis (2015)Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model (2020)Technology Acceptance, Technological Self-Efficacy, and Attitude Toward Technology-Based Self-Directed Learning: Learning Motivation as a Mediator (2020)Design and Analysis: A Researcher's Handbook (1975)GPOWER: A general power analysis program (1996)Design and Analysis: A Researcher's Handbook (2005)Power failure: why small sample size undermines the reliability of neuroscience (2013)ESG and financial performance: aggregated evidence from more than 2000 empirical studies (2015)Effect size guidelines for individual differences researchers (2016)From Intentions to Actions: A Theory of Planned Behavior (1985)Trust and TAM in Online Shopping: An Integrated Model1 (2003)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach (2017)Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach (2019)Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products (2019)
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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2007G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences65,813 cited
  • 1980Understanding Attitudes and Predicting Social Behavior25,805 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies22,991 cited
  • 2009The Technology Acceptance Model: Its past and its future in health care2,664 cited
  • 2009An empirical examination of factors influencing the intention to use mobile payment1,327 cited
  • 2011Factors influencing teachers’ intention to use technology: Model development and test913 cited
  • 1970The prediction of behavior from attitudinal and normative variables881 cited
  • 2016Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card585 cited
  • 2010Evaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems: An Empirical Analysis432 cited
  • 2014User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust415 cited
  • 2018Understanding mobile payment users’ continuance intention: a trust transfer perspective377 cited
  • 2014Understanding the determinants of mobile payment continuance usage168 cited
  • 2016

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Factors Affecting the Adoption of Mobile Payment Systems: An Empirical Analysis
116 cited
  • 2018Multiple Skills and Medium Enterprises’ Performance in Punjab Pakistan: A Pilot Study75 cited
  • 2011A combinative model of behavioural and technical factors affecting ‘Mobile’-payment services adoption: an empirical study66 cited
  • Cited by

    • 2022The Use of the Technology Acceptance Model to analyse the Cloud-Based Payment Systems: A Comprehensive Review of the Literature7 cited