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How does university students’ academic major (STEM vs. non-STEM) affect their acceptance of e-learning: a multi-group analysis
16 references·0 citing·28 second hop
How does university students’ academic major (STEM vs. non-STEM) affect their acceptance of e-learning: a multi-group analysis (2025)How does university students’ academic ma…The psychological impact of the COVID-19 epidemic on college students in China (2020)The psychological impact of t…The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education (2018)The technology acceptance mod…Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods (2017)Mirror, mirror on the wall: a…Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors (2015)Developing a General Extended…Statistical Approaches to Measurement Invariance (2012)Statistical Approaches to Mea…Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community (2009)Extending the TAM model to ex…Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Technology Acceptance Model 3…Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance (2007)Sensitivity of Goodness of Fi…A meta-analysis of the technology acceptance model (2006)A meta-analysis of the techno…In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings (2004)In Search of Golden Rules: Co…Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Cutoff criteria for fit index…A Model of the Antecedents of Perceived Ease of Use: Development and Test (1996)A Model of the Antecedents of…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…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…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy mechanism in human agency. (1982)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Comparative fit indexes in structural models. (1990)Alternative Ways of Assessing Model Fit (1992)Principles of Linguistic Change: Internal Factors (1994)Measurement invariance conventions and reporting: The state of the art and future directions for psychological research (2016)Thanks coefficient alpha, we’ll take it from here. (2017)Significance tests and goodness of fit in the analysis of covariance structures. (1980)Scale Development Research (2006)Structural Equation Modelling: Guidelines for Determining Model Fit (2008)Understanding Attitudes and Predicting Social Behavior (1980)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)Structural Equation Modeling and Regression: Guidelines for Research Practice (2000)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)User Acceptance of Information Technology: Toward A Unified View1 (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)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. (1998)Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures (2003)COVID-19 pandemic and mental health consequences: Systematic review of the current evidence (2020)Impact of COVID-19 pandemic on mental health in the general population: A systematic review (2020)Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: a systematic review and meta-analysis (2020)On the Evaluation of Structural Equation Models (1988)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
  • 1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives108,592 cited
  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models25,696 cited
  • 2007Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance12,160 cited
  • 2008Technology Acceptance Model 3 and a Research Agenda on Interventions8,138 cited
  • 2004In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings6,661 cited
  • 1985A technology acceptance model for empirically testing new end-user information systems : theory and results6,184 cited
  • 2020The psychological impact of the COVID-19 epidemic on college students in China5,842 cited
  • 1996A Model of the Antecedents of Perceived Ease of Use: Development and Test3,799 cited
  • 2006A meta-analysis of the technology acceptance model2,903 cited
  • 2017Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods2,575 cited
  • 2018The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education

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1,915 cited
  • 2012Statistical Approaches to Measurement Invariance1,552 cited
  • 2015Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors986 cited
  • 2009Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community729 cited
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