Sustainability in project management is an emerging and evolving field of study, in the 2030 Agenda for Sustainable Development. Sustainability in project management is immersed in many goals and targets, and is also echoed in many other goals and targets. In this sense, the goal of this research was to analyse how to incorporate sustainability issues and Sustainable Development Goals – SDGs as critical success factors for project management and propose a sustainable project management model. The developed conceptual model contains the variables related to the identified barriers and motivation factors for the integration of sustainability with project management. It presents seven hypotheses and five constructs: Sustainable Development Goals; Interested Parties; Sustainable Companies; Sustainable Project Management Methodology and Sustainable Project. The proposed model and its constructs’ relationships were validated using a structural equation model, across more than 400 valid questionnaires, completed by project management professionals from all around the world. The main result of the study indicates that for sustainability to become an integer part of project management, the dissemination and use of a sustainable project management methodology that considers the SDGs – Sustainable Development Goals by companies and professional associations, encouraging professionals to be trained and certified in these sustainable methodologies, is necessary.

This study introduces an orbital monitoring system designed to quantify non-technical losses (NTLs) within electricity distribution networks. Leveraging Sentinel-2 satellite imagery alongside advanced techniques in computer vision and machine learning, this system focuses on accurately segmenting urban areas, facilitating the removal of clouds, and utilizing OpenStreetMap masks for pre-annotation. Through testing on two datasets, the method attained a Jaccard index (IoU) of 0.9210 on the training set, derived from the region of France, and 0.88 on the test set, obtained from the region of Brazil, underscoring its efficacy and resilience. The precise segmentation of urban zones enables the identification of areas beyond the electric distribution company’s coverage, thereby highlighting potential irregularities with heightened reliability. This approach holds promise for mitigating NTL, particularly through its ability to pinpoint potential irregular areas.

Purpose: This article aims to analyze why Japanese organizations have been successful over the years with the implementation of the Toyota Production System. Methods: Adopting the Shingo Model as a reference for research, the cultural facilitators found in dimension 1 of the model stand out, with a strong alignment with spirituality in the workplace, as a pillar to guarantee operational excellence aligned with the beliefs and values of the staff, in favor of organizational sustainability. For that, a bibliographical research was carried out of 41 articles from the Scopus databases, addressing the constructs Spirituality in the Work environment and the Shingo Model, within an application context associated with sustainability and added to a comparative analysis. Results and discussion: From the analysis of the results, it was possible to understand that the Spirituality at Work element is behind the model of the Toyota Production System. The proposed dimensions to characterize an EAT are based on the Shing Prize Model of Effective Management versus the EAT Model by Ashmos and Duchon (2000) versus Bella et al. (2018). Implications of the research: The article portrays a subject that is a key point for improving productivity and developing an individual's social conscience, so necessary for the sustainability of the planet. Originality / Value: It was possible to infer from the literature that no articles were found that associate the Shingo model with the theory of Spirituality at work, but the articles by Ashmos and Duchon (2000) and Bella et al. (2018) stand out within the context of organizational sustainability.