Abstract
Team resilience is a critically essential contributor to team effectiveness. However, the impact of team resilience on project management success has been little studied. This article aims to investigate the influence of team resilience on project management success in the context of information system projects. Using a quantitative study, we show that there is a significant positive relationship between project team resilience and project management success. As a result of this finding, we stress the importance of developing actions to promote team resilience to increase the likelihood of project management success, particularly in unstable environments. © 2023 The Authors

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Abstract
The urban development model used in the past has proved unsustainable. Due to this fact, cities such as Rio de Janeiro, with high population density, mainly regarding precarious settlements, need immediate practical actions to become more sustainable. The insufficiency of planning and investments contributed to the city occupying the 8th position of the most vulnerable cities in the world, triggering the primary motivation of this research study. Therefore, the leading research focused on exploring how sustainable social housing (SH) could contribute to Rio de Janeiro becoming more sustainable. Literature review, document analysis and semi-structured interviews were carried out to identify sustainable SH in Rio de Janeiro that can serve as a benchmark and listen to the opinion of engineers or architects regarding the importance of sustainable SH for the population and the city. Thus, in consonant with structural changes in thinking, production, and living, it was possible to identify the main contributions of sustainable SH to the city.

Abstract
This paper explores the effects of Industry 5.0 on Sustainable Development. The authors first developed a primer review to introduce the new research agenda of Industry 5.0. Secondly, they performed a state-of-the-art review on the topics of Industry 4.0/Industry 5.0 and Sustainability. The eligible documents have been subjected to a content analysis that identified seven themes. The present research identified a positive relationship between the implementation of Industry 4.0 and sustainable development attainment. This relationship constitutes an opportunity for Industry 5.0 to promote sustainability. Notwithstanding, a series of barriers, drivers and enablers were also identified. Also, this research conclusions are aligned with the explanation presented by the European Commission for the development of the Industry 5.0 concept. However, this will not be enough to shift the paradigm effectively. This paper compiled and analysed the most recent advancements in the new research agenda of Industry4.0/Industry 5.0 dedicated explicitly to sustainability, a topic that requires development in theoretical and empirical research.

Abstract
The uncontrolled growth of some cities and significant social inequalities were reflected in the population's housing conditions. Since housing projects must meet the needs of their inhabitants today and in the future, impacted by climate change, it is essential to search for more sustainable alternatives for social housing. To help decision-making on housing programs and incentives for sustainable building, this study aims to identify the main barriers and critical success factors of sustainable building projects. With this objective, a combination of qualitative data collection methods was applied, including the literature review and semi-structured interviews. The study's main results are the most significant barriers to sustainable social housing, such as lack of information, high cost, and lack of government incentives. Besides the critical success factors to guide sustainable social housing projects, the study highlights results such as the implementation of policies by government and professional bodies, monitoring compliance by the government, and commitment to sustainable delivery with the opinion of all stakeholders. Therefore, sustainable social housing projects can work as a tool to encourage social housing, strengthening the environmental pillar of sustainability. Furthermore, directly benefits the population with lower purchasing power, strengthening the economic and social pillars.

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This study investigates the evolutionary impact of applying artificial intelligence (AI) technology to foreign language education. By employing complex systems thinking, the relationship between foreign language education and AI technology is explored, and dynamic models are employed to analyze the evolutionary patterns of AI technology in foreign language education. Through model analysis and numerical simulations, the interactive effects between foreign language education and AI technology in different modes are revealed. The findings demonstrate that, under different coupling modes, foreign language education and AI technology can achieve self-organizing evolution. When the interaction coefficient between foreign language education and AI technology is appropriately set, AI technology exhibits emergent properties for foreign language education. Lastly, suggestions are presented to promote the sound development of foreign language education and AI technology.