Rodrigues, Teresa Maria FerreiraCosta, Maria Manuela Simões Aparício daMonteiro, Ana Luísa Luz do Val Correia2024-11-112024-10-30http://hdl.handle.net/10362/174964Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThe integration of generative AI technologies like ChatGPT in professional settings is transforming how workers interact with information systems and perform their tasks. This study examines the factors influencing the use of ChatGPT in the workplace, and how these factors affect individual performance. We developed a conceptual model grounded in the Task-Technology Fit (TTF) theory, the Technology Acceptance Model (TAM), and perceived risk frameworks. To evaluate this model, we conducted a survey in Portugal, among 229 ChatGPT users in the workplace and analyzed the data using partial least squares structured equation modeling. Our findings indicate that the model explains 65% of the variance in individual performance, through TTF, use and perceived usefulness. Additionally, use is explained by our model in 50.1%, through TTF, perceived usefulness and perceived ease of use. Perceived risk was found to moderate the relationship between perceived usefulness and use of ChatGPT.engChatGPTIndividual performanceTask-Technology FitTechnology Acceptance ModelPerceived RiskSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructuremaster thesis203777913