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Examining students’ intention to use ChatGPT: Does trust matter?
16 references·16 citing·26 second hopsampled
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(1995)An assessment of the use of partial least squares structural equation modeling in marketing research (2011)PLS-SEM: Indeed a Silver Bullet (2011)
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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
  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2012Principles and Practice of Structural Equation Modeling38,893 cited
  • 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research36,736 cited
  • 1998Principles and Practice of Structural Equation Modeling36,041 cited
  • 1988On the Evaluation of Structural Equation Models26,139 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies22,991 cited
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  • 2003Trust and TAM in Online Shopping: An Integrated Model18,618 cited
  • 1992Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 16,231 cited
  • 1981Snowball Sampling: Problems and Techniques of Chain Referral Sampling5,482 cited
  • 2023Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy4,557 cited
  • 2016Principles and practice of structural equation modeling, 4th ed.

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3,399 cited
  • 2004What drives mobile commerce?2,282 cited
  • 1995Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions1,570 cited
  • Cited by

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    • 2025Divisional perspectives on trust in generative AI: an empirical study of senior decision-makers13 cited
    • 2025Understanding user trust in AI-generated content: an elaboration likelihood model perspective13 cited