Celso Machado Junior

Dr. Celso Machado Junior

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 January 2022 in Sustainability
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Journal Article
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ICIvanir Costa
Ivanir Costa
RRRosangela Riccotta
Rosangela Riccotta
PMPaola Montini
Paola Montini
ESEduardo Stefani
Eduardo Stefani
Roberto GoesRoberto Goes
Roberto Goes
CLCláudio Luís Carvalho Larieira
Cláudio Luís Carvalho Larieira
The impact of new digital technologies creates challenges for the digital transformation process in company sustainability areas. The purpose of this study was to determine the degree of contribution of digital-transformation-enabling technologies to company sustainability areas of three pulp and paper manufacturing companies in Brazil and relate it to the UN Sustainable Development Goals (SDGs). Through a systematic literature review based on the PRISMA method, we sought to assess the key concepts of sustainability and the implementation of digital transformation (DT) through its enabling digital technologies. A field study was conducted in three Brazilian pulp and paper companies to assess the degree of contribution. They are leading companies in the paper and cellulose industry in Brazil. The results obtained indicate that the companies in this sample are still in a growth process regarding the use of digital technologies in their sustainability areas. Only one digital technology, cloud computing, appears relevant in one of the companies studied, which differs from the theoretical framework presented by the literature. To achieve the SDGs goals, countries, especially emerging ones, need to develop their technologies and their business and improve the results that relate to sustainability. The research method applied in this study can be replicated to other companies where the impact of digital transformation technologies on company sustainability is critical.

25 April 2016 in Revista de Ciências da Administração
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CJCelso Machado Junior
Celso Machado Junior
MSMaria Tereza Saraiva de Souza
Maria Tereza Saraiva de Souza
IPIara Regina dos Santos Parisotto
Iara Regina dos Santos Parisotto
APAngelo Palmisano
Angelo Palmisano
O objetivo deste estudo é analisar a possibilidade de aplicar as Leis da bibliometria para identificar padrões nas estruturas de orientação e de influencia das Instituições de Ensino Superior na contratação dos egressos do Stricto Sensu como professores de programas. Para o atendimento do objetivo proposto se desenvolveu um levantamento de todas as teses e dissertações realizadas no Stricto Sensu em administração, por um período de quatro triênios. Os dados obtidos apontam a possibilidade de aplicação de algumas das Leis da Bibliometria na analise de identificação de padrões nas estruturas de produções e arranjos acadêmicos. Destarte, os dados mostram que os cinco pesquisadores mais prolíficos responderam pela orientação de 15% das pesquisas em sustentabilidade ambiental aproximando-se assim da Lei de Lotka. Os doutores formados pela Universidade de São Paulo e pela Fundação Getúlio Vargas de São Paulo se destacam na orientação de novos pesquisadores em sustentabilidade ambiental no Stricto Sensu aproximando-se assim da Lei de Bradford.

1 October 2018 in Journal of Cleaner Production
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CJCelso Machado Junior
Celso Machado Junior
DRDaielly Melina Nassif Mantovani Ribeiro
Daielly Melina Nassif Mantovani Ribeiro
RPRaquel da Silva Pereira
Raquel da Silva Pereira
RBRoberto Bazanini
Roberto Bazanini

25 December 2020 in Sustainable Cities and Society
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Journal Article
Closed access
CJCelso Machado Junior
Celso Machado Junior
DRDaielly Melina Nassif Mantovani Ribeiro
Daielly Melina Nassif Mantovani Ribeiro
AVAdriana Backx Backx Noronha Viana
Adriana Backx Backx Noronha Viana

25 October 2022 in Revista de Gestão
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HNHeitor Hoffman Nakashima
Heitor Hoffman Nakashima
DMDaielly Mantovani
Daielly Mantovani
CJCelso Machado Junior
Celso Machado Junior
Purpose: This paper aims to investigate whether professional data analysts’ trust of black-box systems is increased by explainability artifacts.Design/methodology/approach: The study was developed in two phases. First a black-box prediction model was estimated using artificial neural networks, and local explainability artifacts were estimated using local interpretable model-agnostic explanations (LIME) algorithms. In the second phase, the model and explainability outcomes were presented to a sample of data analysts from the financial market and their trust of the models was measured. Finally, interviews were conducted in order to understand their perceptions regarding black-box models.Findings: The data suggest that users’ trust of black-box systems is high and explainability artifacts do not influence this behavior. The interviews reveal that the nature and complexity of the problem a black-box model addresses influences the users’ perceptions, trust being reduced in situations that represent a threat (e.g. autonomous cars). Concerns about the models’ ethics were also mentioned by the interviewees.Research limitations/implications: The study considered a small sample of professional analysts from the financial market, which traditionally employs data analysis techniques for credit and risk analysis. Research with personnel in other sectors might reveal different perceptions.Originality/value: Other studies regarding trust in black-box models and explainability artifacts have focused on ordinary users, with little or no knowledge of data analysis. The present research focuses on expert users, which provides a different perspective and shows that, for them, trust is related to the quality of data and the nature of the problem being solved, as well as the practical consequences. Explanation of the algorithm mechanics itself is not significantly relevant.

1 December 2014 in Revista de Administração Contemporânea
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CJCelso Machado Junior
Celso Machado Junior
MSMaria Tereza Saraiva De Souza
Maria Tereza Saraiva De Souza
IPIara Regina Dos Santos Parisotto
Iara Regina Dos Santos Parisotto
Este estudo analisou o processo de institucionalização e legitimação do conhecimento em programas stricto sensu em administração, no campo de sustentabilidade ambiental, por meio da proposição e aplicação de um modelo teórico segundo a abordagem de Berger e Luckmann. A sociologia do conhecimento, abordada por Berger e Luckmann, é empregada como base para a construção de um modelo de investigação aos processos de institucionalização e legitimação. A pesquisa apresenta diferentes abordagens metodológicas intrinsecamente complementares, com predomínio de técnicas quantitativas, com a análise de redes, assim, caracterizando-se como uma abordagem de métodos mistos. Foi possível concluir que as redes de colaboração formadas pelos programas stricto sensu em administração contribuem para a institucionalização e legitimação do conhecimento em sustentabilidade ambiental. As técnicas de bibliometria e data mining identificaram os autores que estão com obras institucionalizadas e legitimadas. Os resultados mostram que o modelo desenvolvido, por meio da abordagem Berger e Luckmann, permitiu identificar os autores e instituições que possuem a produção do conhecimento institucionalizada ou legitimada em sustentabilidade ambiental, bem como que sua aplicação é possível em outros campos científicos.