Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework

Few studies have explored the use of artificial intelligence-enabled (AI-enabled) large language models (LLMs). This research addresses this knowledge gap. It investigates perceptions and intentional behaviors to utilize AI dialogue systems like Chat Generative Pre-Trained Transformer (ChatGPT). A survey questionnaire comprising measures from key information technology adoption models, was used to capture quantitative data from a sample of 654 respondents. A partial least squares (PLS) approach assesses the constructs' reliabilities and validities. It also identifies the relative strength and significance of the causal paths in the proposed research model. The findings from SmartPLS4 report that there are…

• RS
  Russian Science Foundation
• RI
  Research Innovation and Development Trust, University of Malta

  Award: RSF2024-CRC-R2