Predicting Adoption Intention of ChatGPT- A Study on Business Professionals of Bangladesh

Abstract

Abstract This study examines the adoption intention of ChatGPT, an AI-based tool, among business professionals. A sample of 350 participants was surveyed to gather data on demographic characteristics, attitudes towards AI, performance expectations, trust, effort expectancy, facilitating conditions, behavioral intention to use, and actual use of ChatGPT. The findings indicate that the respondents had a positive perception of ChatGPT, considering it as an efficient and convenient tool for academic and professional work. They reported that ChatGPT enabled them to accomplish tasks more quickly and increased their efficiency. The study also found that the majority of participants had a strong behavioral intention to use ChatGPT, and this intention strongly predicted their actual usage. Factors such as attitudes towards AI, performance expectations, trust, effort expectancy, and facilitating conditions significantly influenced adoption intention. Specifically, individuals with positive attitudes towards AI and higher expectations of performance were more likely to have a stronger intention to use ChatGPT. Moreover, trust in the tool, lower perceived effort required, and the presence of favorable conditions were associated with higher adoption intention. These findings highlight the importance of individuals' beliefs, perceptions, and contextual factors in shaping their adoption intention of AI technologies. The study concludes that promoting the perceived benefits and usefulness of ChatGPT, building trust in its capabilities, minimizing perceived effort required, and creating facilitating conditions are crucial for encouraging the adoption of AI technologies among business professionals. The insights from this study can inform developers and organizations in enhancing the adoption and effective usage of ChatGPT and similar AI tools.