Survey study reveals dual drivers and barriers influencing ChatGPT adoption in postgraduate scholars, highlighting key factors for responsible artificial intelligence integration.
Key Points
To identify the behavioral drivers and obstacles that influence postgraduate research scholars' adoption and usage of ChatGPT in higher education.
Surveyed N=436 postgraduate research scholars in Pakistan.
Analyzed structural relationships using partial least squares structural equation modeling (PLS-SEM) based on behavioral reasoning theory (BRT), the technology acceptance model (TAM-2), and the theory of innovation resistance (IRT).
Perceived ease of use, perceived usefulness, and social influence are positively related to the intention to use ChatGPT.
Tradition, risk, and usage barriers are negatively related to ChatGPT adoption intention, showing that drivers and resistance factors operate simultaneously.