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Related Experiment Video

Updated: Jul 8, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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Analyzing ChatGPT adoption drivers with the TOEK framework.

Hyeon Jo1, Youngsok Bang2

  • 1Headquarters, HJ Institute of Technology and Management, 71 Jungdong-ro 39, Bucheon-si, Gyeonggi-do, 14721, Republic of Korea.

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Summary

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Area of Science:

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems

Background:

  • AI technology is rapidly advancing, impacting daily life.
  • Understanding user adoption intention for AI tools like ChatGPT is crucial.
  • Existing frameworks need extension to capture new AI adoption dynamics.

Purpose of the Study:

  • To investigate the determinants of ChatGPT adoption intention among university students.
  • To extend the Technology-Organization-Environment (TOE) framework with knowledge application.
  • To analyze the influence of technological, organizational, and social factors on adoption.

Main Methods:

  • Cross-sectional research design.
  • Data collected via survey from university students.
  • Structural equation modeling (SEM) used for data analysis.

Main Results:

  • Network quality, accessibility, and system responsiveness positively impact user satisfaction.
  • User satisfaction, organizational culture, social influence, and knowledge application significantly predict adoption intention.
  • The extended TOE framework effectively explains ChatGPT adoption.

Conclusions:

  • Key factors influencing ChatGPT adoption intention among students identified.
  • Theoretical contributions to AI adoption models and practical insights for AI implementation provided.
  • Recommendations for enhancing AI adoption in educational settings.