<p>Generative Artificial Intelligence (GenAI) popular chatbot Chat Generative Pre-Trained Transformer (ChatGPT) grabbed the attention of millions of users within days of its launch. It provides human-like responses and streamlines repetitive human tasks. This chatbot not only augments productivity but also evokes behavioural biases amongst its initial users. The research attempts to examine prominent factors that influence users’ intention to use ChatGPT. We extend the celebrated model of UTAUT2 along with herding and optimism bias. We notice users’ inclination towards herding bias as they rushed to adopt ChatGPT and optimism bias as they tend to overestimate ChatGPT’s capabilities, presuming its results to be flawless. The survey data collected from early ChatGPT users reveal that optimism bias significantly influences users’ intention to use ChatGPT, while contrary to the literature, hedonic motivation does not. A theoretical framework is proposed to examine behavioural biases towards ChatGPT adoption, with key theoretical and practical implications.</p>

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Factors Affecting Behavioural Intention to Use Generative Artificial Intelligence Tool: A Multigroup Analysis

  • Ankita Bhatia,
  • Preksha Dassani

摘要

Generative Artificial Intelligence (GenAI) popular chatbot Chat Generative Pre-Trained Transformer (ChatGPT) grabbed the attention of millions of users within days of its launch. It provides human-like responses and streamlines repetitive human tasks. This chatbot not only augments productivity but also evokes behavioural biases amongst its initial users. The research attempts to examine prominent factors that influence users’ intention to use ChatGPT. We extend the celebrated model of UTAUT2 along with herding and optimism bias. We notice users’ inclination towards herding bias as they rushed to adopt ChatGPT and optimism bias as they tend to overestimate ChatGPT’s capabilities, presuming its results to be flawless. The survey data collected from early ChatGPT users reveal that optimism bias significantly influences users’ intention to use ChatGPT, while contrary to the literature, hedonic motivation does not. A theoretical framework is proposed to examine behavioural biases towards ChatGPT adoption, with key theoretical and practical implications.