In the current educational context, transformations are continuous, and the ethical dimension of leadership has become one of the main concerns of school cluster directors, given its direct influence on teachers’ motivation. This study, conducted with a sample of 204 teachers from public schools in Portugal, aimed to investigate the relationship between ethical leadership, motivation, and commitment. The results revealed that ethical leadership is positively correlated with intrinsic motivation and organizational commitment (OC). On the other hand, despotic leadership exhibits a negative correlation with OC and intrinsic motivation. Furthermore, it was found that commitment plays a mediating role in the effect of ethical leadership on teachers’ intrinsic motivation. These findings underscore the importance of promoting ethical leadership in schools, not only to foster teachers’ motivation but also to strengthen their commitment to the institution. Conversely, the need to avoid despotic practices is emphasized, as they can adversely affect not only teachers’ motivation but also their commitment to the educational organization. These conclusions further highlight, as future research avenues, the importance of promoting ethical leadership in educational institutions to ensure a healthy and productive work environment for teachers.

Introduction: The growing competitiveness and the importance of data availability for organizations have created a demand for intelligent information systems capable of analyzing data to support strategy and decision-making. Organizations are generating more and more data due to new technologies associated with Industry 4.0 and Logistics 4.0, making it essential to transform this data into relevant information to streamline decision-making processes. This paper examines the influence of these technologies on gaining a competitive advantage, specifically in a logistics company, which is scarce in the literature.Methods: A case study was conducted in a Portuguese company using the Delphi method with 61 participants—employees who use the company’s integrated BI tool daily. The participants were presented with a questionnaire via the online platform Welphi, requiring qualitative responses to various statements based on the literature review and the results of semi-structured meetings with the company.Results: The study aimed to identify areas where employees believe more investment/ development is needed to optimize processes and improve the use of the BI tool in the future. The results indicate that BI is a crucial technology when aligned with a company’s objectives and needs, highlighting the necessity of top management’s involvement in optimizing the BI tool. Encouraging employees to use the BI tool emerged as a significant factor, underscoring the importance of leadership in innovative projects to achieve greater competitive advantage for the company.Discussion: This study aims to understand the importance of Business Intelligence (BI) and how its functionalities should be adapted according to a company’s strategy and objectives to optimize decision-making processes. Thereby, the discussion focused on the essential role of BI technologies in leveraging the company’s competitive advantage.

This study explores the strategic integration of Business Intelligence (BI) and Operations Research (OR) as a dual enabler of sustainability within the evolving framework of Logistics 4.0. As logistics systems face mounting pressures from environmental regulations, digital transformation, and stakeholder expectations, the intersection of data analytics and optimization emerges as a critical lever for sustainable operations. Grounded in a Delphi-based case study conducted in a digitally mature Portuguese logistics firm operating across the Iberian Peninsula, this research captures expert consensus across five dimensions of BI implementation: data infrastructure, real-time decision-making, operational transparency, stakeholder coordination, and sustainability performance monitoring. Methodologically, the study employed two iterative Delphi rounds with 61 cross-functional professionals directly engaged with the organization’s BI systems, particularly Microsoft Power BI. The findings reveal that BI, when informed by OR models, enhances organizational capacity for proactive scenario planning, carbon footprint reduction, and ESG-aligned decision-making. The results also underscore the importance of cross-departmental collaboration, data governance maturity, and user training in fully leveraging BI for sustainable value creation. By offering both theoretical insights and practical guidance, this study contributes to the emerging discourse on data-driven sustainability in logistics. It provides actionable implications for logistics managers, sustainability strategists, and policymakers aiming to operationalize digital sustainability and embed intelligence-led approaches into resilient, low-carbon supply chains.

This study explores the integration of Business Intelligence (BI) and Operations Research (OR) as a driver of sustainability within the evolving framework of Logistics 4.0. As logistics systems face pressures from environmental regulations, digital transformation, and stakeholder expectations, the intersection of data analytics and optimization emerges as a critical lever for sustainable operations. Grounded in a Delphi study conducted in a Portuguese logistics firm, this research captures expert consensus across five dimensions of BI implementation: data infrastructure, real-time decision-making, operational transparency, stakeholder coordination, and sustainability performance monitoring. Methodologically, this study employed two iterative Delphi rounds with 61 cross-functional professionals directly engaged with the organization’s BI systems, particularly Microsoft Power BI. Findings indicate that integrating BI with OR models enhances organizational capacity for proactive scenario planning, carbon footprint reduction, and ESG-aligned decision-making. The results also underscore the importance of cross-departmental collaboration, data governance maturity, and user training in fully leveraging BI for sustainable value creation. By providing both theoretical insights and practical guidance, this study advances the emerging discourse on data-driven sustainability in logistics. It offers actionable insights for logistics managers, sustainability strategists, and policymakers seeking to operationalize digital sustainability and embed intelligence-driven approaches into resilient, low-carbon supply chains.

Introduction: This research aims to evaluate the effectiveness of the SER project, which focuses on autonomy and curricular flexibility. Additionally, it seeks to assess the profiles of students from three Portuguese professional schools in relation to their social and emotional skills, self-concept and personal development after project implementation.Methods: The sample comprised of 381 students aged between 15 and 20 years. The study employed a quantitative methodology with data collected using the Social and Emotional Skills Questionnaire, the Self-Concept Scale, and the Positive Youth Development Scale.Results: School 1 includes students who tend to exhibit high levels of Social Awareness and Cooperation. School 2, while not excelling in any particular competencies, shows above-average values across all assessed dimensions. Finally, students at School 3 demonstrate elevated levels in Interpersonal Relationships, Self-Esteem, Self-Management, Self-Concept, and Decision-Making.Discussion: It was found that student profiles differ depending on the school they attend, and it was found that statistically significant differences occur between School 1 and School 2 in Decision-Making and between School 1 and School 3 in Interpersonal Relationships.