Australian Journal of Maritime & Ocean Affairs · 2023 · 12 citations · 68 references
Social SciencesEnvironmental ManagementSustainability ManagementDigital TransformationEnvironmental Impact AssessmentSustainable DevelopmentMaritime StrategyMaritime TransportationEnvironmental Sustainability PolicyImpact AssessmentMaritime CybersecurityMaritime DigitalizationMaritime TechnologySocio-economic Impact AssessmentSustainable Economic GrowthWorkforce Transformation
Society 5.0 is a transformative concept that envisions the integration of advanced technologies, sustainable practices, and socio-economic considerations to shape the future needs of the maritime industry. The industry faces significant challenges in addressing issues related to environmental sustainability, workforce transformation, and technological advancements. In response to these challenges, this research aims to propose a definition for Maritime Society 5.0 (MS 5.0), outline its key elements and implications, and suggest future research directions for MS 5.0. This research employs a qualitative methodology that uses document analysis as a primary method. The research highlights three key elements for MS 5.0: advanced technology integration, sustainable practices, and socio-economic considerations. MS 5.0 has significant implications for the maritime industry, including technological advancements, sustainability, workforce transformation, economic growth, societal well-being, and policy frameworks. To further understand MS 5.0 and address emerging challenges, focus on impact assessment, human-centric approaches, cybersecurity, sustainability, collaborative governance, and digital transformation. Prioritising research in these areas and fostering interdisciplinary collaboration will lead to evidence-based strategies, informed decision-making, and sustainable growth, creating a resilient and socially responsible maritime industry for the future.
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009 Offshore Technology Conference
E. Corbin, Immediate Past President · 2009 · 2.3K citations
The role of big data analytics in Internet of Things
Ejaz Ahmed, Ibrar Yaqoob, Imran Khan et al. · Computer Networks · 2017 · 614 citations