The delay in civil construction works is observed globally and affects the economy of countries. Therefore, identifying the causes of delays is of paramount importance to minimize their consequences. This paper aims at identifying the causes of delay in construction works and their analysis and existing correlations through statistical factor analysis. The research methodology included a Systematic Literature Review (SLR), a Survey Research through questionnaires and interviews was conducted, as well as the identification of the main causes of delay through the Relative Importance Index (RIL) and the ABC Curve. Finally, factor analysis of the causes of delay was performed, not limiting only to their identification. The results showed that the 12 identified causes are correlated to 4 delay factors, which account for 69.18% of the sample variance: supply management (21.41%); workforce management (20,79%); project management (17.64%) and management of climatic conditions (9.34%). It is concluded hereby that the delay factors mentioned herein can be considered management deficiencies in the projects and that the research has expanded the knowledge on construction delays, thus contributing to the frontier of knowledge to mitigate this problem in several countries, especially developing ones.

Despite increased safety investments in the civil construction sector, high accident rates persist, often due to workers’ intentional unsafe behaviors influenced by poorly understood psychological factors. This study utilized validated interpretative structural modeling (VISM), an innovative technique, to investigate factors impacting the well-being and risk perception of construction workers in the Brazilian Amazon. The VISM model was developed through five steps: (1) identification of indicators; (2) definition of constructs; (3) identification of relationships between constructs; (4) validation of these relationships; and (5) creation of the model. The results underscore the effectiveness of VISM in crafting complex models with robust statistical validity, even in studies with sample limitations and intricate or circular relationships among constructs. The research identified various factors in this phenomenon, such as the importance given by management to workplace safety, job dissatisfaction, work-related stress, turnover intention, work–family balance, alcohol and cigarette use, physical health, perception of accident risks at work, and education and training in workplace safety. Another significant contribution lies in the model’s ability to discern both direct and indirect relationships among these well-being factors. This insight enables the formulation of strategies to enhance worker well-being and reduce workplace accidents, particularly those stemming from intentional unsafe behaviors.

The construction industry is known to present various stress-inducing conditions for its workforce, especially for workers under different employment arrangements. This research aims to investigate the influence of employment status (permanent and temporary workers) on the perception of well-being at work (WBW). The study also aims to assess whether variables such as satisfaction, commitment, and involvement are statistically significant in evaluating construction workers’ WBW. The research was conducted at various construction sites located in the Brazilian Amazon. A total of 376 responses were obtained using the Work Well-being Inventory (IBET-13) questionnaire. A multiple linear regression model was constructed to understand the relationship between self-perceived well-being (dependent variable) by employees and employment status, satisfaction, commitment, and involvement at work (independent variables). The results suggest that the employment arrangement does not significantly impact the evaluation of well-being, indicating that other factors may mediate the relationship between WBW and mental health, as well as contribute to explaining this result, such as current legislation, occupational characteristics, and unique aspects of the Brazilian reality. The research findings can contribute to the development of strategies that promote a more sustainable and healthy construction environment for workers.

Trabalhadores que atuam na indústria da construção são expostos a diversos fatores estressantes, e realizam tarefas exigentes em ambientes de trabalho perigosos, afetando a saúde, a segurança e o bem-estar. O objetivo desta pesquisa é identificar os principais aspectos que estão sendo relacionados ao bem-estar no trabalho (BET) em profissionais do setor da construção. O método consiste na execução de uma Revisão Sistemática da Literatura (RSL) em 10 bases de dados internacionais. Um total de 93 publicações apontou 89 aspectos relacionados ao tema. Dentre os principais aspectos encontrados, 31% referem-se a medidas de BET e estresse, 19,8% a saúde física, 14,5% a segurança, 6,1% a saúde mental e 4,4% a aspectos gerais. Os achados desta pesquisa refletem razoavelmente a singularidade dos profissionais da indústria da construção e ratificam a necessidade de uma abordagem convergente a respeito do tema, que, certamente, poderia proporcionar práticas mais eficientes e objetivas de fomento ao bem-estar

The world experienced several economic, social and environmental transformations during the COVID-19 pandemic, and today, society assesses all these changes in the different stages of the pandemic process. In this sense, this research aimed to evaluate the educational and environmental impacts on the academic community of the largest educational institution in the Brazilian Amazon. The perception of the quality of teaching of undergraduate and graduate engineering students during remote teaching was assessed by means of an exploratory research work carried out at the Federal University of Pará (Brazil). Ecological and carbon footprint indicators were also measured through the Global Footprint Network^®. In social terms, students pointed to a reduction in the quality of teaching. Despite the incentives through institutional initiatives for both students and professors, the community was not prepared to fully migrate to the virtual world, and that made the teaching–learning process difficult. In environmental terms, the reduction in the ecological footprint that was observed could have reached values higher than those that were found, to the order of 2.33%, with the mobility sector achieving the greatest reduction.

Green Building Labels (GBLs) provide a global framework for certifying more sustainable buildings, offering benefits for user health, comfort, and society. However, the number of certified Green Buildings (GBs) in developing countries remains low compared to developed nations. To promote GBL adoption in Brazil, this study developed a strategic model using the Validated Interpretative Structural Modeling (VISM) technique. The model was built using data from a survey conducted with 78 stakeholders from the Brazilian GB industry. The results indicate that (1) government-led strategies play a central role in GB certification, primarily through the regulation and enforcement of environmental policies; (2) certification entities can boost GBL adoption in developing countries by enabling greater implementation of low-cost Green Building Technologies (GBTs); and (3) government and corporate leadership in GBL adoption can allow small and medium-sized enterprises (SMEs) to enter the market. The proposed model contributes to the body of knowledge on sustainable construction, particularly within developing country contexts such as Brazil.