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Personal innovativeness and facilitating conditions in shaping the outlooks toward m-banking adoption among generation Y in Malaysia
16 references·0 citing·33 second hop
Personal innovativeness and facilitating conditions in shaping the outlooks toward m-banking adoption among generation Y in Malaysia (2023)Personal innovativeness and facilitating …A Primer on Partial Least Squares Structural Equation Modeling (2013)A Primer on Partial Least Squ…Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration1 (2009)Using PLS Path Modeling for A…Understanding consumer acceptance of mobile payment services: An empirical analysis (2009)Understanding consumer accept…Structural Equation Modeling and Regression: Guidelines for Research Practice (2000)Structural Equation Modeling …Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study1 (1999)Social Cognitive Theory and I…Are Individual Differences Germane to the Acceptance of New Information Technologies? (1999)Are Individual Differences Ge…A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology (1998)A Conceptual and Operational …Research methods for business: A skill building approach (1993)Research methods for business…The theory of planned behavior (1991)The theory of planned behaviorPerceived 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…A technology acceptance model for empirically testing new end-user information systems : theory and results (1985)A technology acceptance model…The diffusion of innovations (1983)The diffusion of innovationsTwo Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory (1982)Two Structural Equation Model…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…The Logic of Scientific Discovery. (1959)Diffusion of Innovations (1963)Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation (1999)Localization of Knowledge and the Mobility of Engineers in Regional Networks (1999)Strategies for Theorizing from Process Data (1999)Boston Studies in Philosophy of Science (2012)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)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)Self-efficacy mechanism in human agency. (1982)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)User Acceptance of Information Technology: Toward A Unified View1 (2003)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)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)A power primer. (1992)Consistent Partial Least Squares Path Modeling1 (2015)How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM (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)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)A Systems Approach to Conduct an Effective Literature Review in Support of Information Systems Research (2006)Consensus measurement in Delphi studies (2012)Predicting green product consumption using theory of planned behavior and reasoned action (2015)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
  • 1988On the Evaluation of Structural Equation Models26,139 cited
  • 1993Research methods for business: A skill building approach16,985 cited
  • 2000Structural Equation Modeling and Regression: Guidelines for Research Practice6,417 cited
  • 1985A technology acceptance model for empirically testing new end-user information systems : theory and results6,184 cited
  • 1983The diffusion of innovations6,164 cited
  • 2009Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration14,931 cited
  • 1998A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology3,573 cited
  • 2013A Primer on Partial Least Squares Structural Equation Modeling2,941 cited
  • 1999Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study12,517 cited
  • 1982Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory

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2,313 cited
  • 1999Are Individual Differences Germane to the Acceptance of New Information Technologies?2,105 cited
  • 2009Understanding consumer acceptance of mobile payment services: An empirical analysis1,268 cited
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