The field related to Big Data Analytics has become relevant for the academic community and also for the market. The objective of this research was to analyze what are the effects of influencing factors on the intention of using Big Data Analytics by future company managers. The sample consisted of 364 business students from a public university in the state of São Paulo. The methodology used was quantitative with the use of Structural Equation Modeling by Partial Least Squares. The research presented a robust model with a high explanatory factor for the intention to use Big Data Analytics (R2 = 47.8%), in which the factors of positive influence on the intention to use are expected performance, social influence and cost benefit, and the negative influence factor is resistance to use. The results contribute with relevant information about the behavior of future managers in face of a new technology, which has been presented as fundamental in an increasingly competitive environment. Managers can use the results of this study to identify trends and adjustments in the planning, investment and use of technology.
Comissão Científica
Manolita Correia Lima (ESPM)
Marcelo Rocha e Silva Zorovich (ESPM)
Fabiano Rodrigues (ESPM)
Maria Carolina Conejero (FEI)
Ferramenta completa de submissão, avaliação e publicação de anais para eventos científicos.
