Hélio Cristiano Castro

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.

Abstract
In the last few decades, Portugal has witnessed an extraordinary quantitative and qualitative transformation in housing provision. The pace of housing construction was so extensive that the contemporary real estate market is currently characterized by an excessive supply, vis-a-vis the resident population. In this study, we discuss the impact of the financial process on the housing sector in comparison with tenancy. We consider transaction prices of the housing assignments, either through acquisition or through tenancy. The recent shock resulting from the pandemic situation did not slow down house prices but caused a slight drop in rents. The model used proposes to analyze the fluctuations in prices and rents in the face of external shocks. In the residential market, the estimation is complex due to the many heterogeneous attributes of residential assets. Non-fluctuating variables, such as size, location, and external demand for homes, explain a large part of the variation in price levels included in the model.

Abstract
Data Science is a tool for organizations to accelerate the development of innovative solutions through collaboration among Small and Medium Enterprises (SMEs), leading to the Industry 4.0 approach. Data is essential in decision-making. Many organizations can't access timely relevant information because they don't own it or there is a lack of collaboration among third parties. Often, data-sharing and collaborative approaches can benefit both, increase the market they operate in, and accelerate innovation. This paper identifies and analyzes the current utility of Data Science for Industry 4.0 from an Open Design perspective to accelerate innovation across different industries. © 2022 The Author(s).