title: Scenario analysis and disaster preparedness for port and maritime logistics risk management.
abstract: System Dynamics (SD) modelling is used to investigate the impacts of policy interventions on industry actors' preparedness to mitigate risks and to recover from disruptions along the maritime logistics and supply chain network. The model suggests a bi-directional relation between regulation and industry actors' behaviour towards Disaster Preparedness (DP) in maritime logistics networks. The model also showed that the level of DP is highly contingent on forecast accuracy, technology change, attitude to risk prevention, port activities, and port environment.
authors: Ghana Institute of Management & Public Administration, (GIMPA) Business School, P.O. Box AH 50, Greenhill - Achimota, Accra, Ghana. Electronic address: kwebuor@yahoo.ca.
authors: John
authors: J
authors: Kwesi-Buor
authors: Peter Thompson Chair in Port Logistics, Hull University Business School, University of Hull, Kingston upon Hull, HU6 7RX, UK. Electronic address: d.menachof@hull.ac.uk.
authors: David A
authors: DA
authors: Menachof
authors: School of Mathematics, Computer Science and Engineering, City University London, UK. Electronic address: Risto.Talas@city.ac.uk.
authors: Risto
authors: R
authors: Talas
mesh_terms: D003132:Commerce; D004189:Disaster Planning / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D012308:Risk Management; D014186:Transportation
keywords: Disaster preparedness; Environment instability; Logistics; Maritime logistics; Port management; Resilient; Risk management; System dynamics