| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.51 MB | Adobe PDF |
Orientador(es)
Resumo(s)
The integration of AI tools into programming has been growing, given the benefits and
performance improvements that such tools offer. Studies on the adoption and use of these
tools is an almost unexplored area in literature, requesting further studies. Understanding the
undergo dynamics is crucial for programmers who intend to start using the tool on their own,
for organisations that are considering the use of the tool, and for AI-powered coding assistant
tool developers, who aim their tool to be used by programmers. GitHub Copilot is among the
most widely adopted AI-powered programming assistants used nowadays. To support our
study, we developed an innovative theoretical model, not yet tested in the literature until
now, that extends the UTAUT2 model by incorporating Task-Technology Fit (TTF), to capture
the interaction between technology and user tasks, and the D&M IS Success model, to assess
system and output quality. Further, a Behavioural Intention to Recommend was also added,
providing a holistic view of the process. This study analyses data from 187 participants using
PLS-SEM. Habit emerges as the strongest predictor for both Use Behaviour and Behavioural
Intention to Adopt. These findings underscore the need to embed the tool into daily tasks and
workflows. Performance Expectancy and Social Influence impact Behavioural Intention to
Adopt, while System Quality and Behavioural Intention to Adopt further explain the Use
Behaviour. Both Use Behaviour and Behavioural Intention to Adopt influence Behavioural
Intention to Recommend. These results showcase the importance of cultivating environments
where users champion the use of GitHub Copilot, with success cases.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
Palavras-chave
GitHub Copilot UTAUT2 TTF D&M IS Success Model Intention to Adopt Intention to Recommend SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 12 - Responsible production and consumption
