Hélio Cristiano Castro

Abstract
The digitalization and evolution of information technologies within the industry 4.0 have allowed the creation of the virtual model of the production system, called Digital Twin, with the capacity to simulate different scenarios, providing support for better decision-making. This tool not only represents a virtual copy of the physical world that obtains information about the state of the value chain but also illustrates a system capable of changing the development of productive activity towards personalized production, extending product versatility. Decentralized production seeks to respond to these needs because it allows the agglomeration of several services with different geographic locations, promoting the sharing of resources. This paper proposes an architecture for the development of a digital platform of personalization and decentralization of production based on sharing of sustainable resources. With a single tool, it is possible to define the entire production line for a product. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
Industry 4.0 brought modernization to the productive system through the network integration of the constituent entities that, combined with the evolution of information technologies, allowed an increase in productivity, product quality, production cost optimization, and product customization to customer needs. In this paper a model was created using the open-source tool Knime that, based on a set of data provided by Bosch, parameterized the model with several pre-processing techniques, resource selection, and minimization of over-fitting, allowing the development of a final improved model for internal product failure prediction at Bosch production line. The study shows that model efficiency improved with the application of resource selection and reduction techniques, with Logistic Regression and PCA resource selection techniques standing out, obtaining a Recall of 100% and precision and accuracy, both with 99.43%. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
In the current Industry 4 [...]

Abstract
This paper aims to analyze the negative perception about the ability to generate value from a Governance System (GS). A model that would explain the reason for the less positive perception regarding the ability to generate value from the GS of the organizations, from the analysis of the relationship between the constructs Hybridism, GS, Accountability and Perception of Value based on IR, was proposed and validated with structural equation modeling (SEM), based on 658 responses from professionals of Brazilian organizations from the public, private and non-profit sectors. It is suggested that conflicts related to organizational hybridism negatively influence the results orientation of the GS, which in turn influences the imbalance of its Accountability. As a result of the GS's loss of results orientation, and considering the IR capitals in the disclosure of results, there is a negative perception of the GS's ability to add value to the results.

Abstract
This article seeks to describe the social representations of Brazilians about the term Governance System (GS). The data were collected through online questionnaires answered by 665 social actors from Brazil. The data analysis used the Social Representation Theory (SRT), operationalized by the techniques of free evocation of words and the Four Houses Framework of Verges, followed by lexical and content analysis. It was identified that in the center of the table there are words highly shared by the social actors about the Governance System: Accountability, Administration, Compliance, Control, Management, Organization, Planning, Processes, Transparency, and Ethics. It is concluded that Accountability is conceived as a structuring element for the effectiveness of the GS. The data suggest the existence of a mute zone in the social representation, since there was a scarcity of words that brought negative expressions about the GS and that deserve future investigations.