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Predictors of Economics Students’ Behavioural Intention to Use Tablets: A Two-Staged Structural Equation Modelling–Artificial Neural Network Approach
16 references·0 citing·26 second hop
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2012Principles and Practice of Structural Equation Modeling38,893 cited
  • 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling38,283 cited
  • 2018When to use and how to report the results of PLS-SEM27,424 cited
  • 2011PLS-SEM: Indeed a Silver Bullet21,614 cited
  • 2015A primer on partial least squares structural equation modeling (PLS-SEM)18,923 cited
  • 1993Research methods for business: A skill building approach16,985 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 2015Common Method Bias in PLS-SEM10,154 cited
  • 2002Social Research Methods: Qualitative and Quantitative Approaches8,851 cited
  • 2017PLS-SEM or CB-SEM: updated guidelines on which method to use5,428 cited
  • 2013Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance5,307 cited
  • 2017Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods2,575 cited

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  • 2017Advanced Issues in Partial Least Squares Structural Equation Modeling2,503 cited
  • 2010Generalization in quantitative and qualitative research: Myths and strategies1,767 cited
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