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Influencing Factors of Continuous Intention to Use E-learning System of Undergraduates in Guangxi, China: The Mediating Role of Perceived Ease of Use and Perceived Usefulness
16 references·0 citing·26 second hop
Influencing Factors of Continuous Intention to Use E-learning System of Undergraduates in Guangxi, China: The Mediating Role of Perceived Ease of Use and Perceived Usefulness (2024)Influencing Factors of Continuous Intenti…COVID-19: 20 countries’ higher education intra-period digital pedagogy responses (2020)COVID-19: 20 countries’ highe…Challenges in the online component of blended learning: A systematic review (2019)Challenges in the online comp…Using PLS path modeling in new technology research: updated guidelines (2016)Using PLS path modeling in ne…A primer on partial least squares structural equation modeling (PLS-SEM) (2015)A primer on partial least squ…Partial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structu…Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It (2014)Partial Least Squares (PLS) S…A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)A new criterion for assessing…Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance (2013)Partial Least Squares Structu…Using partial least squares in operations management research: A practical guideline and summary of past research (2012)Using partial least squares i…Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model (2009)Explaining and predicting use…\nThe use of partial least squares path modeling in international marketing (2009)\nThe use of partial least sq…Formative Versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration (2006)Formative Versus Reflective I…Quarterly Review of Distance Education (2002)Quarterly Review of Distance …Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (2000)Determinants of Perceived Eas…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…PLS-SEM: Indeed a Silver Bullet (2011)A primer on partial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers (2014)When to use and how to report the results of PLS-SEM (2018)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)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 Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)User Acceptance of Information Technology: Toward A Unified View1 (2003)On the Evaluation of Structural Equation Models (1988)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques1 (2011)Specification, evaluation, and interpretation of structural equation models (2011)The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications (2012)The theory of planned behavior (1991)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Partial Least Squares Structural Equation Modeling (2017)Coefficient Alpha and the Internal Structure of Tests (1951)Structural Equations with Latent Variables. (1991)The partial least squares approach for structural equation modeling. (1998)Significance tests and goodness of fit in the analysis of covariance structures. (1980)Common Beliefs and Reality About PLS (2014)Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2019)
this work references cited by second hop

References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling38,283 cited
  • 2015A primer on partial least squares structural equation modeling (PLS-SEM)18,923 cited
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  • 2009\nThe use of partial least squares path modeling in international marketing11,331 cited
  • 2016Using PLS path modeling in new technology research: updated guidelines7,156 cited
  • 2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model6,658 cited
  • 2013Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance5,307 cited
  • 2006Formative Versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration3,409 cited
  • 2020COVID-19: 20 countries’ higher education intra-period digital pedagogy responses1,955 cited
  • 2014Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It1,899 cited
  • 2002Quarterly Review of Distance Education1,627 cited

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  • 2012Using partial least squares in operations management research: A practical guideline and summary of past research1,530 cited
  • 2019Challenges in the online component of blended learning: A systematic review1,293 cited
  • 2009Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model1,265 cited
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