Λήψη αποφάσεων στη ναυτιλία υπο συνθήκες αβεβαιότητας και γεωπολιτικής αναταραχής
Decision-making in shipping under uncertainty and geopolitical turbulence

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Keywords
Λήψη αποφάσεων ; Ναυτιλία ; Γεωπολιτικά θέματα ; Αβεβαιότητα ; Στρατηγικές ; Decision-making ; Shipping ; Geopolitical issues ; Uncertainty ; StrategiesAbstract
The shipping industry thrives in an uncertain, volatile and geopolitically turbulent world. This thesis narrates the decision-making process that has developed in shipping companies in such an environment towards technology, systems thinking and the integration of resilience. Recent literature is reviewed to identify emerging responses of decision-makers to dynamic risks and disruptions in the new patterns of global trade. Decision-makers have become responsible for this non-linear rational process between a complex interplay between human intuition, big data-driven data and contextual adaptive learning. An organizational study found that shipping companies are continuously developing contextual adaptive learning, in addition to being resilient as defined statically, having a flexibility strategy and feedback mechanism that supports them to get back on track after a disruption caused by a completely different than before, where geopolitical instability increases operational risk. The change in the supply chain configuration. Artificial intelligence, predictive analytics and decision support tools play an important role in reducing such challenges. However, they become effective in an environment of strong leadership based on strategic adaptability with trust cultivated between human intelligence and machine intelligence. The synthesis of theoretical and empirical perspectives shows that future-ready shipping companies will need to integrate digital innovation with adaptive leadership for sustainable competitiveness. This thesis finds that successful decision-making under combined risk and geopolitical pressure is not only about advanced analysis, but also cognitive flexibility across disciplines, along with knowledge of the maritime system as a living adaptive network.


