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Guilherme Brittes Benitez

Researcher at Universidade Federal do Rio Grande do Sul

Publications -  31
Citations -  1585

Guilherme Brittes Benitez is an academic researcher from Universidade Federal do Rio Grande do Sul. The author has contributed to research in topics: Computer science & Industry 4.0. The author has an hindex of 7, co-authored 24 publications receiving 640 citations. Previous affiliations of Guilherme Brittes Benitez include University of California, Santa Cruz & Universidade de Santa Cruz do Sul.

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The expected contribution of Industry 4.0 technologies for industrial performance

TL;DR: In this article, the authors studied how the adoption of different Industry 4.0 technologies is associated with expected benefits for product, operations and side-effects aspects in the Brazilian industry.
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Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation

TL;DR: In this article, the authors analyze eleven years of an ecosystem's evolution using a technology mapping of 87 companies, 37 interviews with stakeholders, and a 2.5-year follow-up of a testbed project conducted by 8 companies.
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Expected impact of industry 4.0 technologies on sustainable development: A study in the context of Brazil's plastic industry

TL;DR: In this article, the impact of Industry 4.0 technologies on sustainability based on economic, environmental, and social aspects is investigated using the Triple Bottom Line perspective for sustainable development in the plastics industry.
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Industry 4.0 collaborative networks for industrial performance

TL;DR: In this article, a literature review was performed using a research model to support the evaluation and identification of key and collaborative technologies related to Industry 4.0, and a further eight collaborative technologies that are strongly related to industrial performance.
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Industry 4.0 technology provision: the moderating role of supply chain partners to support technology providers

TL;DR: In this paper, the authors conducted a survey on 77 SMEs from the automation sector, using OLS regression with moderating effects to investigate the contribution of four types of supply chain actors for inbound open innovation: suppliers, competitors with complementary technologies, R&D centers and customers.