Oliveira, Tiago André Gonçalves Félix deReis, Catarina Chagas2025-06-252025-06-23http://hdl.handle.net/10362/184426Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceGenerative 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.engChatGPTworkplaceproductivitygenerative AItechnology adoptionSDG 4 - Quality educationSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructuremaster thesis203968778