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Luiz Veriano Oliveira Dalla Valentina

Researcher at Universidade do Estado de Santa Catarina

Publications -  20
Citations -  242

Luiz Veriano Oliveira Dalla Valentina is an academic researcher from Universidade do Estado de Santa Catarina. The author has contributed to research in topics: New product development & Project management. The author has an hindex of 6, co-authored 18 publications receiving 149 citations.

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Precipitation in 300 grade maraging steel built by selective laser melting: Aging at 510 °C for 2 h

TL;DR: In this paper, the precipitates found in the 300 grade maraging steel built by Selective Laser Melting (SLM), which is globally one of the fastest-growing additive manufacturing (AM) technology, were investigated.
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Forecasting project performance considering the influence of leadership style on organizational agility

TL;DR: The main result of this study is the characterization of under which combination of leadership style, agility and organizational factors the highest project performance can be achieved.
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From Obtaining to Degradation of PHB: Material Properties. Part I

TL;DR: A review of the chemical, physical and morphological characteristics, as well as the existing applications and mechanisms for the production of poly (3-hydroxybutyrate) can be found in this paper.
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Applying Bayesian networks to performance forecast of innovation projects: A case study of transformational leadership influence in organizations oriented by projects

TL;DR: The characterization of the individual contribution of the variables to the project performance and the empirical application of Bayesian networks are highlighted, as an alternative to statistical methods commonly employed in leadership and management studies.
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Modeling the leadership - project performance relation: radial basis function, Gaussian and Kriging methods as alternatives to linear regression

TL;DR: Alternative forecasting methods that produce results at least similar to or better than linear regression (MLR) that can be used in the modeling of social systems modeling are analyzed.