This study addresses the critical gap between academic training and the competency demands of the maritime logistics and port management sector. Using a mixed-methods approach, it integrates benchmarking of postgraduate programs from leading universities, interviews with 15 stakeholders representing diverse industry profiles, and an in-depth curriculum analysis. The research identifies and categorizes essential technical, management, and interpersonal competencies, culminating in the development of a Competency Matrix to guide the alignment of academic curricula with industry requirements. Key competencies identified include strategic decision-making, operations management, data analysis, adaptability, teamwork, and customer engagement, all of which are critical to ensuring efficiency and competitiveness in the sector. This study introduces an innovative framework by combining benchmarking with qualitative insights, addressing a crucial gap in the literature while offering actionable strategies for academia to enhance training programs. The findings highlight the urgent need for universities to develop courses tailored to global challenges, such as digitalization, sustainability, and supply chain resilience. Although this study is exploratory and based on a limited sample size, it provides meaningful insights into the Portuguese maritime and port logistics sector, laying a solid foundation for future research. Further studies should investigate how innovation and emerging technologies, such as artificial intelligence and blockchain, are reshaping competency requirements in this dynamic and globalized industry.

The present study explores the relationship between the characteristics, performance, and sustainability of ports that will, in the future, support the logistical chains of new floating offshore wind farms, considering the crucial advancement and expansion of the offshore wind energy sector for the transition to a low-carbon economy. Through a detailed analysis, which includes international case studies in America and Europe utilizing expert interviews and quantitative methods through surveys, the importance of the location, new types of infrastructure and superstructure, and new planning and governance models for the performance and sustainability of ports that will be involved in this new energy industry is highlighted. Also, the context in which ports associated with floating wind turbines are located influences the performance and sustainability. This research employs Fuzzy-Set Qualitative Comparative Analysis (fsQCA), based on a survey of 22 European sector company experts, to emphasize the critical port characteristics for the performance and sustainability. This study reveals the significant contribution of supporting ports for the future floating offshore wind sector for the gross added value and the expansion of regional employment, and the need for new planning, construction, operation, and management models for ports instead of the traditional models applied to simple cargo loading and unloading ports, offering valuable new insights for port managers, policymakers, and academics. However, a future research trajectory with a more geographically diverse sample is suggested to enhance the applicability and generalizability of the results.

Purpose: This study illustrates the experience of scholar–practitioner collaboration for data-driven decision-making through the problematic of optimizing facility locations and minimizing logistics costs for La Palette Rouge (LPR) of Portugal.Design/methodology/approach: The authors used a mixed mixed-method approach involving (1) a quantitative exploratory analysis of big data, which applied analytics and mathematical modeling to optimize LPR's logistics network, and (2) an illustrative case of scholar–practitioner collaboration for data-driven decision-making.Findings: The quantitative analysis compared more than 20 million possible configurations and proposed the optimal logistics structures. The proposed optimization model minimizes the logistics costs by 22%. Another optimal configuration revealed that LPR can minimize logistics costs by 12% through closing one of its facilities. The illustrative description demonstrates that well-established resource-rich multinational enterprises do not necessarily have the in-house capabilities and competencies to handle and analyze big data.Practical implications: The mathematical modeling for optimizing logistics networks demonstrates that outcomes are readily actionable for practitioners and can be extended to other country and industry contexts with logistics operations. The case illustrates that synergistic relationships can be created, and the opportunities exist between scholars and practitioners in the field of Logistics 4.0 and that scientific researcher is necessary for solving problems and issues that arise in practice while advancing knowledge.Originality/value: The study illustrates that several Logistics 4.0 challenges highlighted in the literature can be collectively addressed through scholar–practitioner collaborations. The authors discuss the implications of such collaborations for adopting virtual and augmented reality (AR) technologies and to develop the capabilities for maximizing their benefits in mature low-medium technology industries, such as the food logistics industry.

Purpose: This article is focused on the premise that applying Lean tools in transport and logistic services can contribute to reduce the costs, stocks, lead time and simultaneously contributing to major financial achievements. The objective is to create a model that allows the analysis and deployment of a Lean project in Logistic and Transport services. Methodology: Facing the lack of information about the deployment and the results of the Lean tools in Logistic and transport services in Portugal we used as case study one example of a Portuguese company that deployed Lean tools on their services and it will show that the tools and Lean principles can be used to improve quality and efficiency by using the company existing resources, reducing causalities in the service provided and in all logistic process. Findings: Lean tools provide efficiency in the services, allowing the increasing of the existing capacity in the company, provide a continuous improvement process. Even with low investments sustaining Lean projects can produce large improvement in efficiency of the processes and in the company profits. Research Limitation: The data available about the subject in Portugal was the major limitation to the study.

Understanding the factors and characteristics of the business and the influence of cargo owners on sustainable practices in maritime logistics chains is the main objective of this study. The sample consists of 141 valid responses from Portuguese companies that own cargo, freight forwarders and other maritime logistics service providers. Sustainable energy theory, green state theory, and shared value creation theory support the research. The SEM methodology was adopted. The sector’s structure, management characteristics, type of transport contract and the size of the cargo characterize and condition the business of cargo owners and influence the choice of green transport, the use of green fuel and corporate social responsibility. It is important to increase the knowledge and practice of cargo owners in order to understand their business constraints.