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Publicação
The Impact of ChatGPT on Workers Performance using the Task-Technology Fit Theory
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Resumo(s)
The 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.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
ChatGPT Individual performance Task-Technology Fit Technology Acceptance Model Perceived Risk SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure