Adoption Of Strategies Research Articles

Examining How Blockchain Implementation Affects Supply Chain Visibility in Ghana

Purpose: This article investigate how blockchain technology enhances visibility in supply chains by enabling real-time, transparent data sharing among stakeholders. It explores blockchain's role in reducing information silos and improving traceability. The study aims to inform both industry practitioners and policymakers on blockchain’s benefits and adoption strategies. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Blockchain implementation enhances supply chain visibility by enabling real-time tracking and secure data sharing across stakeholders, reducing fraud and improving traceability. It also helps in verifying product origins, building consumer trust, and streamlining inventory management. However, challenges such as high costs and the need for standardized protocols can limit widespread adoption. Unique Contribution to Theory, Practice and Policy: Transaction cost economics (TCE), resource-based view (RBV) & institutional theory may be used to anchor future studies on the examining how blockchain implementation affects supply chain visibility. For practitioners, the implementation of blockchain technology offers significant potential to improve real-time visibility, data accuracy, and trust within the supply chain. Policymakers should develop standards and regulatory guidelines for blockchain implementation in supply chains to ensure secure and ethical data usage.

Skill capabilities behind the scenes: the role of occupational portfolio in regional industrial evolution

ABSTRACT An increasing number of studies confirm that regional diversification is path dependent, with new industries building on pre-existing ones. However, these studies typically overlook the role of skill capabilities and the interactions between skills and industries. In this research, based on the concept of industry–occupation cross-relatedness, the influence of skill capabilities on industrial diversification across Chinese regions was investigated. The findings indicate that regions can diversify into skill-related activities following a skill path-dependent process. Furthermore, a theoretical framework integrating industry–occupation cross-relatedness and economic complexity was introduced that enabled the adoption of various diversification strategies based on regional skill capabilities.

Documenting trends in blockchain technology adoption: a systematic review

Purpose This study aims to critically analyze existing research on blockchain technology adoption, examining the dominant models and methodologies used, the primary domains where blockchain is applied and the emerging opportunities across various sectors. Design/methodology/approach Using a methodical systematic review approach, the authors meticulously examined a pool of 1,322 collected articles, subjecting 38 studies to rigorous assessment. Through this comprehensive analysis, the authors unveiled the key models and influential factors that intricately shape the trajectory of blockchain adoption. Findings The primary models identified for investigating blockchain adoption were the technology acceptance model and technology–organization–environment. Apart from the core variables within these models, the pivotal determinants influencing various blockchain applications include perceived trust, perceived cost and social influence. In addition, this study highlights supply chain management as a prominent domain for blockchain application adoption. Practical implications Understanding these influential factors and models can guide practical decisions and aid stakeholders in formulating effective strategies for blockchain adoption in diverse sectors. Originality/value This study contributes to advancing the understanding of blockchain adoption dynamics by unveiling the prevalent models and determinants shaping adoption. This study offers valuable insights into the factors influencing the use and adoption of blockchain technologies across diverse sectors.

Exploring the Motives Behind the Adoption of Climate Change Adaptation Strategies among Farmers in the Czech Republic

AbstractClimate change threatens agriculture in the EU and is a primary issue discussed in the European Green Deal within the Common Agricultural Policy. Central and Eastern European countries are particularly prone to climate change effects, such as droughts and extreme weather. Therefore, agriculture in Central and Eastern Europe is expected to be increasingly affected by shifting climatic patterns. This study examines the motivation for adopting adaptation strategies derived from climate-smart agriculture among farmers in the Czech Republic. We drew particular attention to analyzing the influence of farm-level and information source variables on the adaptation behavior of Czech farmers. The dataset comprises 358 respondents who were asked about climate change adaptation through a quantitative survey. We analyzed the collected data via descriptive statistics and binary logit regression models. The analysis results reveal a high degree of awareness and a diversified usage of climate change adaptation strategies among the respondents. The close linkage between perceived profitability and the willingness to adapt to climate change requires policymakers to communicate economic benefits within this context further. Information sources, such as topic-specific journals, research institutions, and field training, positively influenced the adaptation rates among the sample. Therefore, we recommend focusing on these media channels to communicate targets set within the European Green Deal.

Enhancing Sales Volume to Optimized Retail Marketing Strategy: Case Study on MSMEs Retail in Bantul, Yogyakart

The retail industry in Indonesia has experienced significant growth, particularly with the increasing presence of modern retail chains that challenge the sustainability of local Micro, Small, and Medium Enterprises (MSMEs). MSMEs in the retail sector, especially in regions like Bantul, Indonesia, face mounting competition from these larger and better-funded players. This study investigates how MSMEs can enhance their sales volume by adopting more effective retail marketing strategies. Grounded in marketing theory, specifically the principles of modern merchandising, category management, pricing, promotion, and supplier relationship management, this research aims to determine the strategies that are most impactful for MSME retailers in a competitive market. Using a qualitative case study methodology, data were collected from interviews with MSME owners, direct observations, and sales data analysis of selected retailers in Bantul. The findings reveal that MSMEs implementing modern marketing techniques, such as improved merchandising displays, competitive pricing strategies, and strategic supplier negotiations, were able to increase their sales volumes despite facing strong competition from established retail chains. Furthermore, businesses that incorporated digital tools for promotions and customer engagement saw a noticeable improvement in customer loyalty and sales growth. In the discussion, the study emphasizes that while the adoption of modern retail strategies is critical, MSMEs still face challenges such as limited financial and technological resources, which hinder their ability to fully compete with larger retailers. Nonetheless, the findings demonstrate that targeted marketing strategies, particularly in supplier relationships and pricing techniques, offer MSMEs a sustainable path to growth. The study concludes that for MSMEs to thrive in the competitive retail environment, they must adopt a hybrid approach that combines traditional retail techniques with modern marketing innovations. Future research should focus on the role of digital transformation in further enhancing the competitiveness of MSMEs in the retail sector. Keywords: Sales Volume, Retail Marketing, MSMEs

Real-world clinical characteristics and therapeutic strategies in patients with moderate-to-severe inflammatory bowel disease in Argentina: Data from the RISE-AR study.

Real-world evidence on the adoption of different pharmacological strategies in inflammatory bowel disease (IBD) in Latin America is scarce. Herein, we describe real-world sociodemographic, clinical characteristics, and different therapeutic approaches used in patients with IBD in Argentina. RISE AR (NCT03488030) was a multicenter, non-interventional study with a cross-sectional evaluation and a 3-year retrospective chart review conducted in Argentina. Adult patients with a previous diagnosis of moderate-to-severe ulcerative colitis (UC) or Crohn´s disease (CD) at least 6 months prior to enrollment were included. This study included 246 patients with IBD (CD: 41%; UC: 59%), with a median age of 39.5 years (IQR 30.7-51.7) for CD and 41.9 years (33.3-55.3) for UC. Overall, 51.5% of CD patients had colonic disease involvement, while 45.5% of UC patients had extensive colitis. At enrollment, the overall use of biologics was high, especially in CD patients (CD: 73.2% vs. UC: 30.3%, p<0.001), while the use of immunosuppressants was similar (∼41%, p=1.000) for both diseases. IBD treatments ever prescribed and healthcare resources utilization during the retrospective period were (CD, UC): biologics: 79.2%, 33.8% (p<0.001); immunosuppressants: 65.3%, 58.6% (p=0.352); aminosalicylates: 62.4%, 97.9% (p<0.001); corticosteroids: 55.4%, 69.7% (p=0.031); surgery: 17.8%, 1.4% (p<0.001); and hospitalizations: 33.7%, 21.4% (p=0.039). In this cohort of IBD patients, overall prescription patterns of conventional therapy were similar to reports elsewhere; however, biologic therapy use was high, especially in CD, consistent with disease behavior and possibly reflecting better access to care in referral centers. Interestingly, over half of CD patients presented colonic involvement.

Relationships among employee-friendly organization, performance, and turnover intention in the maritime industry: the mediating role of organizational happiness & collective efficacy

ABSTRACT The concept of an employee-friendly workplace has emerged as a novel area of discussion within the human resources departments of organizations, coinciding with the adoption of employee-centric management strategies. Due to its recent inception, literature on this subject remains relatively sparse. However, existing studies suggest that workplace happiness significantly influences various aspects of work dynamics, including job performance, turnover intention, and collective efficacy. This study seeks to elucidate the interrelation between employee-friendly workplace amenities, employee happiness, collective efficacy, turnover intention, and individual performance within a maritime organization context. Data collected from six hundred onshore office employees of a Turkish ship-owner and port operator organization via an online questionnaire were subjected to structural equation modelling using the LISREL version 8.8 statistical package programme. The findings reveal that organizational happiness serves as a mediating factor in the relationship between employees’ perceptions of work type and workplace amenities and individual performance. Through this investigation, the study aims to offer valuable insights into the mediating roles of organizational happiness and collective efficacy in the workplace.

Association between procrastination and learning strategies in medical students in a hybrid problem-based and lecture-based learning curriculum.

Procrastination is characterized by the deliberate postponement of assigned educational tasks and is correlated with low academic achievement and depression. Concern about procrastination is particularly high among medical students, as it has a strong association with aspects such as low self-efficacy, lack of organization, low intrinsic motivation, inefficient effort regulation and time management problems. On the other hand, it was found that students' use of study strategies is significantly related to better academic results. The relationship between students' tendency to procrastinate and the adoption of effective study strategies remains little explored, leaving a critical space for investigation. This study aims to fill this gap by exploring how procrastination affects the selection and effectiveness of study strategies adopted by students. This cross-sectional study was conducted in Brazil and included medical students from the first to the seventh semester of the Unichrsitus Medical School. The validated procrastination scale and the Learning and Study Strategies Inventory were used. Generalized linear regression multivariate models with robust errors were used to verify the association between the study variables. 447 students participated, 70.2% of whom were female, with an average age of 23years. The domain of "study aids" scored higher among younger students, who self-referred as black and who studied in private schools prior to the Medical School. Higher procrastination scores were statistically associated with higher main idea selection, concentration, time organization and anxiety scores and with lower study aids and study preoccupation scores (p values < 0.05). In addition, active methodology was associated with higher scores in the domains of study aids and time organization. Procrastination is associated with the study strategies used by medical students, which can be modified through training and ultimately improve their performance. Students in traditional models, who are older, white and from public schools may especially benefit from this training.

Barriers Hindering the Successful Deployment of GLSS in Organizations: Findings from an Empirical Study

Given the growing interest in manufacturing’s environmental effects, understanding the impact of improvement strategies on sustainability is critical. This study focuses on the implementation of Green Lean Six Sigma (GLSS) in the Mexican manufacturing sector, an area where research is limited, particularly concerning the barriers to successful outcomes. Through the development of a structural equation model using SPSS software,,version 25, 64-bit edition, key barriers such as lack of investment, insufficient participation, ineffective infrastructure, and lack of training were identified as the primary challenges to GLSS implementation. This study also highlights the interrelationships between these barriers and their influence on project success, emphasizing the role of insufficient participation as a critical mediating factor. This insight allows for a deeper understanding of how these obstacles affect the benefits of GLSS initiatives. The findings offer valuable guidance for researchers and practitioners, providing tools to enhance the effectiveness of GLSS implementation in the manufacturing industry. The study’s marginal contribution lies in its identification of key barriers and the introduction of insufficient participation as a mediating factor, offering a more comprehensive understanding of their impact on project success and contributing to improved GLSS adoption strategies.

Development and external validation of a machine learning model to predict diabetic nephropathy in T1DM patients in the real-world.

Studies on machine learning (ML) for the prediction of diabetic nephropathy (DN) in type 1 diabetes mellitus (T1DM) patients are rare. This study focused on the development and external validation of an explainable ML model to predict the risk of DN among individuals with T1DM. This was a retrospective, multicenter study conducted across 19 hospitals in Gansu Province, China (No: 2022-473). In total, 1368 patients were eligible for analysis among 1633 collected T1DM patients from January 2016 to December 2023. Recursive feature elimination using random forest and fivefold cross-validation was conducted to identify key features. Among the 12 initial ML algorithms, the optimal ML model was developed and validated externally in a distinct population, and its predictive outcomes were explained via the SHapley additive exPlanations method, which offered personalized decision insights. Among the 1368 T1DM patients, 324 had DN. The extreme gradient boosting (XGBoost) model, which achieved optimal performance with an AUC of 83% (95% confidence interval [CI]: 76‒89), was selected to predict the risk of DN among T1DM patients. The DN predictive model included variables such as T1DM duration, postprandial glucose (PPG), systolic blood pressure (SBP), glycated hemoglobin (HbA1c), serum creatinine (Scr) and low-density lipoprotein cholesterol (LDL-C). External validation confirmed the reliability of the model, with an AUC of 76% (95% CI: 70‒82). The ML prediction tool has potential for advancing early and precise identification of the risk of DN among T1DM patients. Although successful external validation indicated that the developed model can provide a promising strategy for clinical adoption and help improve patient outcomes through timely and accurate risk assessment, additional prospective data and further validation in diverse populations are necessary.

Prophylactic and therapeutic vaccine development: advancements and challenges.

Biomedical research is fundamental in developing preventive and therapeutic vaccines, serving as a cornerstone of global public health. This review explores the key concepts, methodologies, tools, and challenges in the vaccine development landscape, focusing on transitioning from basic biomedical sciences to clinical applications. Foundational disciplines such as virology, immunology, and molecular biology lay the groundwork for vaccine creation, while recent innovations like messenger RNA (mRNA) technology and reverse vaccinology have transformed the field. Additionally, it highlights the role of pharmaceutical advancements in translating lab discoveries into clinical solutions. Techniques like CRISPR-Cas9, genome sequencing, monoclonal antibodies, and computational modeling have significantly enhanced vaccine precision and efficacy, expediting the development of vaccines against infectious diseases. The review also discusses challenges that continue to hinder progress, including stringent regulatory pathways, vaccine hesitancy, and the rapid emergence of new pathogens. These obstacles underscore the need for interdisciplinary collaboration and the adoption of innovative strategies. Integrating personalized medicine, nanotechnology, and artificial intelligence is expected to revolutionize vaccine science further. By embracing these advancements, biomedical research has the potential to overcome existing challenges and usher in a new era of therapeutic and prophylactic vaccines, ultimately improving global health outcomes. This review emphasizes the critical role of vaccines in combating current and future health threats, advocating for continued investment in biomedical science and technology.

Relevance of Competency Based Education for Architectural Education in India

Background A holistic architectural education is the culmination of learning knowledge, skills, attitudes, and values, which eventually reflects in the quality of graduates. Even though different schools of thought have made various kinds of qualitative contributions towards the evolution of architectural education in India, it has largely been dominated by the quantitative and technical aspects of its regulating framework. Architects engage with the demanding contradictions between responsibilities of an ethical nature, the dynamic challenges of practice, and the intricacies of architectural imagination. The aesthetical and imaginative foundations of the field make it incumbent upon the architects to possess a balance of ecumenical proficiencies for accountability and personalization. The purpose of the study is to identify relevant attributes of Competency Based Education (CBE) that can be adopted for architectural education in India. Methods This research follows a narrative review approach and a descriptive-analytic method to broadly understand the attributes of CBE and its potential relevance to architectural education in India. 323 articles were searched on various search strings based on their relevance to the inquiry. 76 documents written in English language were included and appraised through the Scale of the Assessment for Narrative Review Articles (SANRA) tool to avoid any risk of bias. The PRISMA 2020 checklist and flow diagram has been used to report the findings of this narrative review. Result The study identifies eight critical parameters of CBE with respect to its definitions, origins, transitions, regulatory environment, characteristics, approaches and implications on teaching-learning, frameworks and models of assessment; and challenges, which makes a case for the relevance of CBE for architectural education in India, which hasn’t been explored yet. Conclusion The broader expectations of ‘being competent’ can be addressed through a conscious adoption of strategies of relevant attributes of CBE which can encourage building attitudes and temperament for life-long learning.

Sustainable Strategies and Value Creation in the Food and Beverage Sector: The Case of Large Listed European Companies

Food and beverage in Europe represents a central sector in terms of contribution to GDP, employment, and the trade balance. At the same time, it has significant environmental, economic, and social implications, making the adoption of sustainable strategies of vital importance for companies in the sector. This study explores how sustainable business practices can create long-term strategic value, with a particular focus on the food and beverage sector. The research analyzes the relationship between sustainability and business strategy, focusing on how companies can thrive in the context of environmental uncertainties, social fluctuations, and economic interconnectedness. Specifically, the study aims to identify the key sustainability practices and strategies adopted by leading food and beverage companies and determine how these practices affect their ESG performance (environmental, social, and governance) results. The study uses a reasoned selection of case studies from one of the primary CSR regulatory categories—listed companies with considerable size (excluding tobacco companies and those with a capitalization of less than EUR 10 billion)—comparing companies’ sustainability reports and the latest 2023 integrated annual report to assess every aspect of each company, from market position to sustainability policies and sustainable reporting.

Minimizing Polymer Curl Distortion and Heat Impact to Improve Digital Light Processing Printing Accuracy via Subdivision Method

Curl distortion has been a persistent challenge for vat photopolymerization‐based printing technology such as digital light processing (DLP), leading to structural deformation and print failures. This study presents a new approach to mitigate curling distortion and heat effects during DLP printing by dividing the printing layer image into sequential subimages, using a breadth‐first search algorithm. The progressive curing process, resembling a ripple pattern, results in a significant improvement in printing accuracy. The deviation is reduced tenfold when the layer image is divided into subimages with 10 pixels for a 32 mm diameter disc. Additionally, subdivision strategy helps to reduce the heat effect during photopolymerization, as monitored in situ by a long‐wave infrared camera. The successful reduction of residual stress using the subdivision strategy results in a 75% improvement in the mechanical performance of the printed products. The simple adoption of subdivision strategy in practical 3D printing applications is also demonstrated. For solid 3D printing structures, introducing intervals within the solid printing layers—such as using a grid structure instead of a fully solid one, can help to reduce curling and heat effects, thereby improving 3D printing accuracy.

Experiences of living with GSD5 (McArdle) disease: challenges and strategies. A qualitative study in the Netherlands

Purpose Glycogen Storage Disease type 5 (GSD5 or McArdle disease) is caused by deficient glycogen phosphorylase enzyme activity in skeletal muscles. Individuals with GSD5 experience symptoms like muscle pain, fatigue, and tachycardia during exertion. Our study aimed to explore the lived experiences of individuals with GSD5, focusing on their daily challenges, the process of being diagnosed, and management strategies. Methods Participants were invited to share their life experiences through in-depth, semi-structured interviews, and the collected data was analyzed using thematic analysis. Results Using purposeful sampling, 13 individuals with GSD5 were recruited for the study. The analysis identified four key themes: “experiencing incomprehensible difficulties,” “diagnosis as an explanation,” “finding ways to manage daily challenges,” and “listening to your body.” These themes reflect diverse experiences of daily functioning, physical challenges faced, the pivotal role of diagnosis in understanding symptoms, and the adoption of management strategies like using the ‘second wind’ phenomenon. Participants emphasized the importance of support networks and adaptive lifestyle changes in effectively managing their condition. Conclusions Early diagnosis and tailored management strategies are critical for improving outcomes and quality of life in individuals with GSD5. Timely diagnosis and comprehensive multidisciplinary care are essential for effectively managing the complexities of this rare metabolic disorder.

Greenhouse-gas abatement on Australian dairy farms: what are the options?

The Australian dairy industry contributes significantly to the rural economy, but must reduce its greenhouse-gas emissions to remain competitive in a global market that is starting to prioritise a low carbon footprint. Demand for improved environmental, social and governance performance from supply chains creates an imperative for research to deliver options for farmers to make reductions in their environmental footprint. Given the rapidly evolving nature of greenhouse-gas abatement research, this critical review provides an update on the state of the research relevant to Australian dairy systems and identifies research gaps that must be addressed if there is to be widespread on-farm adoption. Current research suggests that Australian dairy farms could theoretically abate enteric methane by 40–50%, with about another 5–10% reduction in whole-farm greenhouse-gas emissions being possible by flocculating or covering stored effluent. Fertiliser- and urine-patch management strategies could substantially reduce direct and indirect nitrous oxide emissions, but by variable amounts subject to local conditions. However, few abatement options are currently cost-effective for farmers. Significantly more research investment is required to facilitate the on-farm adoption of strategies, particularly to reduce enteric methane and improve the efficiency of nitrogen cycling. Improved understanding is required of the influences on each strategy’s abatement potential and interactions with economically important traits in grazing systems, the effect of combining abatement strategies, and systems by which strategies can be implemented cost-effectively on farms. The challenge for research is to consider how the implementation of cost-effective abatement options can be refined for grazing dairy systems to maintain the position of Australian dairy in the global market.

Exploring Critical Reading Practices Among Malaysian and Vietnamese Engineering Students: Insights and Implications

ABSTRACT In the dynamic academic landscape of the 21st century, the imperative to equip engineering students with robust critical reading skills, in tandem with their technical expertise, has come to the forefront. Recognizing the intrinsic value of critical thinking and reading in cultivating an ethos of lifelong learning among future engineers, this study endeavors to shed light on efficacious methodologies for augmenting critical reading competencies, grounded in the lived experiences of students. Utilizing a phenomenographic methodology, this research aims to explore the mechanisms through which engineering students from Malaysia and Vietnam develop their critical reading skills. The study engaged eight engineering students from both Malaysia and Vietnam, selected based on their demonstrated proficiency in critical reading, as evidenced by scores from a critical reading assessment aligned with the PISA Reading Framework. Through in-depth, phenomenographic semi-structured interviews, the research sought to uncover the strategies and practices these students employ to bolster their critical reading abilities. The findings illuminate a diverse array of approaches to enhancing critical reading skills, including the adoption of specific reading strategies, engagement in extensive and collaborative reading practices, and the maintenance of a positive reading disposition. Notably, the study also identifies that variations in the application and effectiveness of these strategies are influenced by factors such as students’ academic progression, cultural contexts, and educational backgrounds. These insights contribute to a nuanced understanding of the multifaceted nature of critical reading skill development among engineering students, offering valuable perspectives for educators, curriculum designers, and policymakers aiming to foster critical analytical skills in STEM education.

Exploring the impact of aminoethoxyvinylglycine (AVG) on the ripening behaviour and quality of bananas under different storage conditions

ABSTRACT Bananas rapidly undergo physiological deterioration after harvest owing to their climacteric and perishable nature causing significant economic yield loss. Thus, the adoption of postharvest loss mitigation strategies becomes imperative for enhancing fruit longevity. This study aimed to assess the effect of postharvest treatment with different concentrations of aminoethoxyvinylglycine (AVG) on shelf life extension and quality sustainability of bananas, such as Grand Naine, Poovan and Ney Poovan, kept under ambient (27°C ± 2°C) and cool (17°C) conditions. The findings revealed that AVG-treated bananas reduced weight loss of banana hands (0.655–2.559 kg hand−1) and higher peel thickness (0.86–2.73 mm) and firmness (6.54–12.01 N) over untreated control at ambient storage condition, whereas under cool storage, weight loss of banana hands reduced from 0.761 to 2.579 kg hand−1, while both peel thickness (1.24–2.84 mm) and firmness (7.75–11.45 N) were retained for varieties. The physio-chemical traits of fruit, such as total chlorophyll and starch content, were improved due to AVG treatment under both storage conditions. Among the treatments, postharvest application of AVG at 700 ppm showed better performance in the morphological, physiological and quality characters irrespective of the varieties.

Critical Perspectives on the Adoption of Circular Design Strategies in the Built Environment for Sustainable Development in Sub-Saharan Africa

Adopting circular design strategies (CDS) in building development presents a transformative approach toward sustainability by promoting resource efficiency and reducing environmental impacts. This paper examined the current landscape of CDS adoption, focusing on barriers, enablers, benefits, and critical success factors within the built environment (BE) in Sub-Saharan Africa. Drawing on a comprehensive review of global contexts literature, the study identifies and categorizes 185 factors, subsequently pruning them to 121 pertinent to the design stage. Barriers such as low awareness, regulatory gaps, and economic constraints are explored alongside enablers like leadership commitment, technological innovation, and supportive policies. The paper underscores the pivotal role of these factors in shaping sustainable building practices, emphasizing the need for tailored strategies to overcome local socio-cultural, economic, and technological challenges in the BE of Sub-Saharan Africa. This research contributes a nuanced understanding of how CDS can be effectively integrated into the BE, offering practical implications for policymakers, industry stakeholders, and researchers striving to embrace sustainable practices.

Prioritizing Criteria for Establishing a Green Shipping Corridor Between the Ports of Sines and Luanda Using Fuzzy AHP

As port authorities and cargo operators seek strategies to reduce carbon emissions while ensuring operational efficiency, some are turning to the concept of green corridors. These solutions aim to establish formalized partnerships among ports, carriers, shippers, and countries. During the process, the stakeholders must consider four priority areas (alternative fuels, bunkering infrastructure, vessel decarbonization pathways, and cargo demand dynamics) from seven angles (environmental, economic, infrastructure, regulatory, operational, technological, and social). This study explores the prioritization of these criteria for establishing a green maritime corridor between two major ports in Portugal and Angola, which would be a significant step toward promoting sustainable global trade. Utilizing the fuzzy AHP, this research analyzes all these factors and their associated sub-criteria derived from a comprehensive literature review and consultations with stakeholders from the Ports of Sines and Luanda. The findings show the dominance of environmental compatibility and economic viability, while social acceptance shows the lowest score. This framework guides the decision-making process for developing a sustainable shipping corridor. The results offer valuable insights for policymakers which can guide them in fostering resilient maritime transport routes, accelerating the adoption of decarbonization strategies and playing a critical role in achieving the IMO’s zero-emission targets by 2050.