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Autores
Orientador(es)
Resumo(s)
Generative artificial intelligence (GenAI) has garnered significant attention for its ability to
produce human-like text and assist in a variety of professional tasks. ChatGPT, one prominent
GenAI tool, reached over 100 million users shortly after its launch in 2022, signaling
widespread interest and rapid adoption. Despite growing enthusiasm, research examining
ChatGPT’s direct impact on workplace productivity and perceived organizational benefits
remains limited. This thesis seeks to fill this gap by investigating the factors driving ChatGPT
adoption and the resulting effects on individual performance outcomes, drawing upon
established theoretical models such as the unified theory of acceptance and use of technology
(UTAUT) and information systems (IS) success frameworks. Through a survey-based empirical
study, we aim to elucidate the mechanisms by which ChatGPT can enhance professional
efficiency and create value in modern work environments.
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
ChatGPT workplace productivity generative AI technology adoption SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure
