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Identifying priority antecedents of educational data mining acceptance using importance-performance matrix analysis
16 references·0 citing·28 second hop
Identifying priority antecedents of educational data mining acceptance using importance-performance matrix analysis (2019)Identifying priority antecedents of educa…Gain more insight from your PLS-SEM results (2016)Gain more insight from your P…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): A useful tool for family business researchers (2014)Partial least squares structu…Partial least squares structural equation modeling (PLS-SEM) (2014)Partial least squares structu…A primer on partial least squares structural equation modeling (PLS-SEM) (2014)A primer on partial least squ…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…Factors influencing teachers’ intention to use technology: Model development and test (2011)Factors influencing teachers’…An empirical study of instructor adoption of web-based learning systems (2009)An empirical study of instruc…\nThe use of partial least squares path modeling in international marketing (2009)\nThe use of partial least sq…Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Technology Acceptance Model 3…A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research (2003)A Critical Review of Construc…Technology Readiness Index (Tri) (2000)Technology Readiness Index (T…Issues and opinion on structural equation modeling (1998)Issues and opinion on structu…Constructing validity: Basic issues in objective scale development. (1995)Constructing validity: Basic …Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…PLS-SEM: Indeed a Silver Bullet (2011)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Coefficient Alpha and the Internal Structure of Tests (1951)Construct validity in psychological tests. (1955)Review of Psychometric theory (2nd ed.). (1979)Using Self-Report Assessment Methods to Explore Facets of Mindfulness (2006)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)Using PLS path modeling in new technology research: updated guidelines (2016)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)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)An assessment of the use of partial least squares structural equation modeling in marketing research (2011)Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)The partial least squares approach for structural equation modeling. (1998)Partial Least Squares Structural Equation Modeling (2017)A General Approach to Confirmatory Maximum Likelihood Factor Analysis (1969)Intraclass Reliability Estimates: Testing Structural Assumptions (1974)Significance tests and goodness of fit in the analysis of covariance structures. (1980)On the Evaluation of Structural Equation Models (1988)When to use and how to report the results of PLS-SEM (2018)Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2019)Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example (2022)
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References

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1,660 cited
  • 2011Factors influencing teachers’ intention to use technology: Model development and test1,055 cited
  • 2009An empirical study of instructor adoption of web-based learning systems403 cited
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