The Impact of ChatGPT in Shaping Consumer Purchase Intention in Technological Products among Shah Alam Consumers

Abstract

The study is a quantitative study that examines The Impact of ChatGPT in Shaping Consumer Purchase Intention in Technological Products Among Shah Alam Consumers, according to the integrated framework, which relies on the Technology Acceptance Model (TAM), DeLone and McLean Information System (IS) Success Model, and Perceived Risk Theory. The study, which used a cross-sectional online survey of 384 tech-savvy consumers in Shah Alam as the source of data collection, the study confirmed that the proposed model effectively explains 91.1% of the variance in purchase intention. The most important findings indicated that the strongest and most important positive predictors of consumer purchase intention are Perceived Usefulness (PU) and Information Quality (IQ), and Perceived Risk (PR) is a significant negative barrier, which proves the practicality and accuracy of the AI to be the driving power of local consumers. Interestingly, Trust turned out to be statistically insignificant in the final regression model, which implies that in this population, trust is more a prerequisite variable than a direct and strong predictor in the presence of high utility and quality of information.