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Readiness towards fintech adoption among micro-entrepreneurs in Malaysia
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Readiness towards fintech adoption among micro-entrepreneurs in Malaysia (2024)Readiness towards fintech adoption among …Fintech: Ecosystem, business models, investment decisions, and challenges (2017)Fintech: Ecosystem, business …Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust (2017)Factors influencing adoption …Digital Finance and FinTech: current research and future research directions (2017)Digital Finance and FinTech: …Information and communication technology overload and social networking service fatigue: A stress perspective (2015)Information and communication…A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)A new criterion for assessing…Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Technology Acceptance Model 3…Toward 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…Managing User Trust in B2C e-Services (2003)Managing User Trust in B2C e-…E-commerce: the role of familiarity and trust (2000)E-commerce: the role of famil…A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…The effects of trust and interdependence on relationship commitment: A trans-Atlantic study (1996)The effects of trust and inte…User acceptance of information technology: system characteristics, user perceptions and behavioral impacts (1993)User acceptance of informatio…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 …A technology acceptance model for empirically testing new end-user information systems : theory and results (1985)A technology acceptance model…Structural Equations with Latent Variables (1989)The Commitment-Trust Theory of Relationship Marketing (1994)An Integrative Model Of Organizational Trust (1995)Developing and Validating Trust Measures for e-Commerce: An Integrative Typology (2002)Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (2003)Trust and TAM in Online Shopping: An Integrated Model1 (2003)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)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)The theory of planned behavior (1991)Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories (2006)Integrating TTF and UTAUT to explain mobile banking user adoption (2010)Older Adults' Reasons for Using Technology while Aging in Place (2015)Diffusion of Innovations 1 (2019)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016)Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017)The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education (2018)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)PLS-SEM: Indeed a Silver Bullet (2011)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Understanding Information Technology Usage: A Test of Competing Models (1995)Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (2000)Using PLS path modeling in new technology research: updated guidelines (2016)When to use and how to report the results of PLS-SEM (2018)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)
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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology75,250 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View148,734 cited
  • 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling43,453 cited
  • 1988Structural equation modeling in practice: A review and recommended two-step approach.42,320 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies24,321 cited
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  • 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 impacts4,840 cited
  • 2000E-commerce: the role of familiarity and trust3,529 cited
  • 2004Toward an understanding of the behavioral intention to use mobile banking1,997 cited
  • 2017Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust1,765 cited
  • 2017Digital Finance and FinTech: current research and future research directions1,736 cited
  • 2017Fintech: Ecosystem, business models, investment decisions, and challenges1,702 cited
  • 1996The effects of trust and interdependence on relationship commitment: A trans-Atlantic study

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1,272 cited
  • 2003Managing User Trust in B2C e-Services1,212 cited
  • 2015Information and communication technology overload and social networking service fatigue: A stress perspective838 cited
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