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Factors influencing Chinese college students’ intention to use AIGC: a study based on the UTAUT model
15 references·0 citing·37 second hop
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References

  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2009Diffusion of Innovations2,442 cited
  • 2022Ethical principles for artificial intelligence in education1,218 cited
  • 2022What factors contribute to the acceptance of artificial intelligence? A systematic review1,023 cited
  • 2023“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms”635 cited
  • 2023Tools such as ChatGPT threaten transparent science; here are our ground rules for their use604 cited
  • 2023Generative Artificial Intelligence Acceptance Scale: A Validity and Reliability Study243 cited
  • 2024Understanding students’ adoption of the ChatGPT chatbot in higher education: the role of anthropomorphism, trust, design novelty and institutional policy204 cited
  • 2024AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models190 cited
  • 2024Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework142 cited
  • 2023AIGC challenges and opportunities related to public safety: A case study of ChatGPT108 cited
  • 2021Attitude of college students towards ethical issues of artificial intelligence in an international university in Japan99 cited
  • 2024Driving Factors of Generative AI Adoption in New Product Development Teams from a UTAUT Perspective

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49 cited
  • 2024The (Un)Knowledgeable, the (Un)Skilled? Undertaking Chat-GPT Users’ Benefit-Risk-Coping Paradox in Higher Education Focusing on an Integrated, UTAUT and PMT33 cited
  • 2024Understanding consumers’ intentions to use QR code menus in the post-COVID-19 pandemic19 cited
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