AGILE, CRITICAL THINKING AND AI-ENABLED MANAGEMENT FRAMEWORKS FOR GREEN LOGISTIC CORRIDORS: A COMPARATIVE ANALYSIS OF TRADITIONAL AND ADAPTIVE APPROACHES
Abstract
Green Logistic Corridors (GLCs) appear as strategic feedback to the dual challenge of decarbonizing global supply chains while maintaining or enhancing the efficiency, resilience and competitiveness of global trade. However, the dominant management approach used to develop these corridors remains anchored in traditional, linear and highly bureaucratic project management models, which are often too rigid to address the high ambiguity, technological transitions and multi- stakeholder involvement associated with sustainable maritime infrastructure. This paper presents a comparative management framework that examines two distinct approaches to the development of GLCs. The first one is a conventional, plan-driven model based on fixed objectives, sequential execution and hierarchical decision-making, while the second is an adaptive model that integrates Agile practices, structured critical thinking and virtual resources such as AI agents, digital twins and automation to enhance continuous learning, stakeholder alignment and operational performance.
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DOI: https://dx.doi.org/10.21622/MARLOG.2026.15.1.70
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