Purpose: Seaports are vital in facilitating sustainable development, and environmental, social and governance (ESG) factors significantly impact an organization’s performance. Therefore, this study aims to identify and evaluate barriers and strategies of green investments to promote ESG practices within the seaport sector.Design/methodology/approach: To fulfill this aim, a systematic literature review, interpretive structural modeling and the matrix of cross-impact multiplications were applied to classification analysis.Findings: 12 barriers were prioritized and categorized by experts in a focus group to optimize efforts and define the materiality of these barriers in implementing ESG strategies within seaport companies.Practical implications: The implications of this study provide an alternative approach for ESG management in the context of seaports that can be applied in different regions by experts' opinion assessment.Originality/value: No prior studies assessed the barriers and strategies for green investments in ESG from the port sector perspective.

The circular bioeconomy (CBE) is an increasingly popular method used to add value to bio-based products. However, these products entail impacts on sustainability that can be assessed by life cycle thinking (LCT). Therefore, this manuscript aims to describe the current development of using LCT for a CBE and to identify challenges and future perspectives with regard to this topic. A systematic literature review was conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA), analyzing a final portfolio of 57 documents. The results indicated that the use of LCT for a CBE is very recent and has been increasing over the years, is concentrated in Europe, and mainly assesses the conversion of biowastes in biofuels through biorefinery processes, considering mostly environmental concerns, by applying life cycle assessment; thus neglecting economic and social issues. The use of system boundaries, software, databases, and impact assessment methods was reviewed. Five challenges were revealed (the expansion of system boundaries, the consideration of more endpoints, the development and use of regional databases, the development of policies to encourage CBE, and the addition of economic and social issues. Future perspectives will be aimed at considering microalgae, wastewater, and animal biomass in CBE processes, developing more value-added bioproducts and biofuels, and adding cost assessment and more circularity to CBE processes.

The transition toward sustainability in the construction industry requires integrated tools that align with circular economy principles. This study introduces the Interactive Stakeholder Journey Map in Construction (ISJMC), an innovative visual and systemic tool that supports waste management and circularity throughout the life cycle of construction assets. Although the sector is economically significant, it remains one of the main contributors to environmental degradation due to high resource consumption and low waste recovery rates. Developed according to EN 15643-3:2012, a European standard that provides a framework for assessing the social sustainability of construction works, focusing on aspects such as accessibility, health, and comfort and grounded in the Design Thinking methodology, ISJMC enables mapping stakeholder interactions, touchpoints, and responsibilities across all life cycle stages, including initiative, design, procurement, construction, use, and end of life. A systematic literature review and collaborative workshops guided the tool’s development and validation. The application in a real case involving a medium-sized Brazilian construction company helped identify significant pain points and opportunities for implementing circular practices. The results demonstrate that ISJMC (i) facilitates a systemic and visual understanding of material and information flows, (ii) promotes transparent mapping of resource value to support better decision-making, and (iii) encourages the identification of circularity opportunities while fostering collaboration among stakeholders. The tool revealed critical challenges related to waste generation and management. It supported co-creating sustainable strategies, including improved material selection, lean construction practices, and stronger supplier engagement. By translating complex standards into accessible visual formats, ISJMC contributes to the academic field, supports practical applications, and offers a foundation for expanding circular approaches in construction projects.

The selection of equipment is a fundamental decision for the business’s future. Several methodologies have been proposed to assist in this kind of decision, one of them being the Multiple Criteria Decision-Making (MCDM) methods. However, over the years, new themes have gained strength such as Environmental, Social, and Governance (ESG), and Circular Economy (CE). This study’s objective is twofold: to identify the main multicriteria methods that are applied in equipment selection, as well as their methods variations and dissemination, and to identify how researchers incorporate sustainability concepts are incorporated in decision-making regarding equipment selection. A systematic review of the literature was conducted using the Methodi Ordinatio to rank the articles. The Bibliometrix tool was used for bibliometric analysis. The results demonstrate no concern with sustainability in the decision-making process in equipment selection. To better integrate MCDM decisions, the authors intend to study a multicriteria model through the sustainable approach.

The safe and sustainable management of healthcare waste (HCW) is essential for minimizing environmental impacts and protecting public health, particularly in developing countries with limited logistical infrastructure. Despite the growing adoption of routing optimization in HCW logistics, few studies integrate waste generator segmentation with algorithmic planning. This study proposes an optimization approach based on the Periodic Vehicle Routing Problem (PVRP), incorporating a segmentation of waste generators by volume. Two solution methods, the Clarke and Wright (CW) heuristic and Particle Swarm Optimization (PSO), are applied and compared through a real-world case study in Paraná, Brazil. Results show that PSO significantly outperforms CW in reducing travel distance and CO₂ emissions. For small generators, PSO achieves reductions of up to 41% in distance and 41.37% in emissions, compared to CW’s 35.42%. For large generators, PSO was reduced by 22% and 21.81%, respectively. The proposed method demonstrates the potential for scalable, data-efficient waste management strategies. This research contributes to sustainable urban logistics by bridging segmentation and routing optimization in resource-constrained settings, offering actionable insights for policymakers and planners.