Abstract
The objective of this research is to study the factors that influence the adoption behaviour of ChatGPT among professionals in Bangladesh. This study investigates the adoption intention of ChatGPT by using the modified Unified Theory of Acceptance and Use of Technology (UTAUT) model. This model is used as a theoretical framework to analyse the many aspects that exert effect on the adoption process. The study was administered to a sample of 350 professional knowledge-workers using an online questionnaire. The data analysis was performed using PLS-SEM. The findings of the research provided a significant understanding of the determinants that influence the desire to adopt and the actual use of ChatGPT. The study highlights the significance of strengthening behavioral intentions, emphasizing performance benefits and building trust, and creating facilitating conditions to promote adoption and utilization of ChatGPT among Professionals in Bangladesh. The research contributes to the understanding of factors influencing the adoption and usage behavior of ChatGPT and offers practical implications for organizations and policymakers to maximize the benefits of artificial intelligence applications in the context of Bangladeshi Professionals. The study's limitations include its exclusive focus on Bangladeshi professionals, reliance on self-reported data, and oversight of ethical and privacy concerns. This research is one of the first attempts to elucidate the factors influencing the acceptance of ChatGPT among professionals in Bangladesh, using the modified UTAUT-2 model.
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Emon, M. M. H., Hassan, F., Nahid, M. H., & Rattanawiboonsom, V. (2023). Predicting Adoption Intention of Artificial Intelligence- A Study on ChatGPT. AIUB Journal of Science and Engineering, 22(2), 189–196. https://doi.org/10.53799/AJSE.V22I2.797
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