Abstract
This paper examines the factors influencing the adoption of ChatGPT, a ubiquitous Generative Intelligence-driven instrument, among research scholars. The theoretical lens through which the hypothesized relationships have been visualized were behavioral reasoning theory (BRT), the technology adoption model (TAM-2), and the innovation resistance theory (IRT). After performing PLS-based structural equation modeling on the data collected from 400 informants studying at higher education levels, it has been found that perceived ease of use, perceived usefulness, and social influence are positively associated. In contrast, tradition, risk, and usage barriers negatively influence the intention to use ChatGPT. The first three factors have been enumerated as ‘reasons for’ whereas the latter three have been labeled as ‘reasons against’ adopting ChatGPT. Besides integrating three leading innovation adoption/resistance theories and extending them to a higher education context, thereby enriching scholarly discourse and opening new avenues for future researchers, the study provides valuable insights to practitioners and policymakers in academia to facilitate a constructive usage of ChatGPT among students, especially those pursuing higher studies.
Presenters
Muhammad Zafar YaqubAssociate Professor, Faculty of Economics and Administration, King Abdulaziz University, Saudi Arabia
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Organizations as Knowledge Makers
KEYWORDS
ChatGPT adoption, Higher education sector, Behavioral reasoning theory, Innovation resistance
