Current Issue : July-September Volume : 2026 Issue Number : 3 Articles : 5 Articles
Background: The rapid diffusion of large language models (LLMs) such as Claude, ChatGPT, Gemini, LLaMA, and Mistral is reshaping logistics and supply chain management by embedding generative intelligence into planning, coordination, and governance processes. While prior studies emphasize algorithmic capability, far less is known about how differences in diffusion pathways shape productivity outcomes, managerial cognition, and institutional control. Methods: This study develops and applies an integrative analytical framework—the AI Diffusion Triad—comprising Productivity, Perspective, and Power. Using comparative qualitative analysis of five leading LLM ecosystems, the study examines how technical architecture, access models, and governance structures influence adoption patterns and operational integration in logistics contexts. Results: The analysis shows that diffusion outcomes depend not only on model performance but on socio-technical alignment between AI systems, human workflows, and institutional governance. Proprietary platforms accelerate productivity through centralized integration but create dependency risks, whereas open-weight ecosystems support localized innovation and broader participation. Differences in interpretability and access significantly shape managerial trust, learning, and decision autonomy across supply chain tiers. Conclusions: Sustainable and inclusive AI adoption in logistics requires balancing operational efficiency with interpretability and equitable governance. The study offers design and policy principles for aligning technological deployment with workforce adaptation and ecosystem resilience and proposes a research agenda focused on diffusion governance rather than algorithmic advancement alone....
As a globally critical agricultural commodity, soybean imports and exports exert far-reaching impacts on the global economy, industrial development, and social welfare. Currently, the global soybean trade landscape is fraught with uncertainties. From the perspective of the global soybean supply chain network (encompassing imports, exports, and industrial chain inputs–outputs), this study constructs a dynamic comprehensive evaluation model for the importance of nodal countries based on complex network theory, with empirical analyses conducted using global soybean trade data from 2016 to 2023. To ensure causal inference validity, endogeneity is addressed via the two-stage least squares (2SLS) method with instrumental variables, and robustness checks are conducted. The results indicate that, from the export side, Brazil holds a core position in the soybean trade network; the United States is proximal to the network’s center and functions as a robust neighboring nodal country; Argentina serves as an export trade hub, Paraguay, Uruguay, and Canada boast substantial soybean export volumes but maintain relatively fixed trade relationships. From the import side, China occupies a dominant central position; Argentina acts as an import trade hub, while Mexico, the Netherlands, and Germany play prominent roles in global soybean imports. The soybean trade flow efficiency and marketization level in the Americas and Europe outperform those in the Asia-Pacific and Africa, with global soybean trade exhibiting distinct regionalization features. Finally, this study puts forward targeted recommendations to optimize China’s soybean import strategy....
This study examines the influence of circular economy practices, as a manifestation of corporate social responsibility, on green value co- creation and its subsequent effects on green collaborative practices and sustainable supply chain integration between providers and customers. Grounded in signaling theory, the proposed model also investigates the moderating role of greenwashing on these relationships. Using structural equation modelling on a sample of 221 supplier–customer dyads in Portugal, results demonstrate that circular economy initiatives significantly enhance green value co- creation, which in turn fosters green collaborative practices and sustainable supply chain integration. The moderating effect of greenwashing negatively impacts the perceived authenticity of these initiatives, thereby weakening their effectiveness. This research advances theoretical understanding of the mechanisms driving sustainable interorganizational collaboration and provides managerial insights for enhancing green supply chain strategies in the context of increasing environmental scrutiny....
Concerns over the environmental footprint of logistics operations have increasingly shaped the adoption of sustainability-oriented practices within supply chains. This research develops and empirically tests a model linking green practices to environmental and financial performance in supply chains. Using variance-based structural equation modeling (SEM), the study tests six hypotheses addressing both the direct effects of green practices on supply chain performance and the mediating role of competitive advantage. Data were collected from a sample of 148 Romanian firms operating across multiple industries. The results indicate that green practices positively influence environmental outcomes and support the development of green competitive advantage, which in turn is associated with stronger financial results. Policy implications suggest that sustainability initiatives should strategically leverage green practices to build enduring competitive advantages in supply chains....
The subject of the study is the conceptual, theoretical and applied principles of forming innovative strategies of logistics and supply chains in the maritime transport sector in the context of global market challenges. The article considers innovations as a key factor in ensuring the competitiveness of maritime transport, as well as a source of new risks that require systematic strategic management. It is proven that in the context of geopolitical instability, climate change, fragmentation of world trade and military operations in Ukraine, innovative logistics strategies are of critical importance not only for the efficiency of the maritime transport sector, but also for the stability of the national economy and its integration into global value chains. Methodology. The study used a set of general scientific and special methods: analysis and synthesis – to reveal the essence of innovative logistics and supply chain management strategies; induction and deduction – to identify patterns in the formation of competitiveness of the maritime transport sector; monographic method – to systematize modern scientific approaches and concepts. SWOT analysis was used to assess the opportunities and limitations of the development of maritime transport clusters, and its transformation into a matrix of strategic actions taking into account military risks in Ukraine was carried out. The purpose of the article is to substantiate theoretical and practical approaches to the formation of innovative logistics and supply chain strategies in the maritime transport sector in the face of global challenges and increased risks. Results. The article establishes that the competitiveness of the maritime transport sector in modern conditions is formed at the intersection of digital innovations, supply chain sustainability, environmental responsibility and institutional capacity. It is substantiated that the implementation of Logistics 4.0 technologies, smart ports, digital cargo flow management platforms and big data analytics is a necessary condition for the adaptation of maritime logistics to global uncertainty. It is proven that maritime transport clusters are an effective tool for increasing competitiveness and minimizing risks through coordination of participants, resource synergy and collective risk management. The proposed matrix of strategic actions demonstrates the possibility of transforming external threats, in particular military ones, into manageable parameters of strategic development. Particular attention is paid to the Ukrainian context, where military actions, shipping restrictions and infrastructure losses significantly reduce the country's logistics potential. It is proven that the development of maritime transport clusters, combined with route diversification, European integration and the use of "green" and digital financing, can become the basis for increasing the resilience and post-war recovery of the maritime transport sector of Ukraine....
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