International Journal of Shipping and Transport Logistics
Scope & Guideline
Empowering Research in Shipping and Supply Chain Dynamics
Introduction
Aims and Scopes
- Intermodal and Multimodal Transport:
Research exploring the integration and optimization of different transportation modes, including rail, road, air, and sea, to enhance efficiency and reduce costs. - Supply Chain Management:
Studies focusing on the dynamics of supply chain networks, resilience, and integration strategies, especially in the context of global disruptions like the COVID-19 pandemic. - Risk Assessment and Safety Management:
Investigations into methodologies for assessing risks associated with maritime operations, including accident analysis and safety measures in shipping and port environments. - Technological Innovations in Logistics:
Exploration of emerging technologies such as blockchain, machine learning, and AI in the logistics and shipping sectors, aimed at improving operational efficiency and service quality. - Environmental Sustainability:
Research emphasizing sustainable practices in shipping and transportation, including emissions reduction, eco-innovation, and the impact of logistics on environmental outcomes. - Port and Shipping Economics:
Analysis of economic factors influencing shipping markets, port efficiency, and the broader economic impacts of maritime transport on trade.
Trending and Emerging
- Digital Transformation and Technology Adoption:
A notable increase in studies addressing the impact of digital technologies, such as blockchain and AI, on supply chain operations, indicating a shift towards more tech-driven approaches in logistics. - Resilience and Risk Management:
Emerging themes around resilience in supply chains and risk management, particularly in light of global disruptions like the COVID-19 pandemic and geopolitical tensions, highlight the need for adaptive strategies. - Sustainability and Green Logistics:
Growing research on sustainable practices in shipping, including the evaluation of green port performance and eco-friendly logistics solutions, underscores the industry's shift towards environmental responsibility. - Data-Driven Decision Making:
An increase in the application of data analytics and machine learning techniques for operational decision-making in shipping and logistics, reflecting a trend towards leveraging big data for enhanced efficiency. - E-commerce and Last-Mile Delivery:
A rising focus on the logistics challenges associated with e-commerce, particularly in last-mile delivery solutions, points to the changing landscape of consumer demands and distribution networks.
Declining or Waning
- Traditional Maritime Economics:
Research focusing solely on conventional economic models of shipping and transport has decreased, possibly due to the increasing complexity of global supply chains and the need for more integrated analyses. - Static Logistics Models:
There appears to be a waning interest in static models that do not incorporate real-time data or dynamic changes in transport logistics, as the industry increasingly demands adaptive and responsive solutions. - Basic Transportation Safety Studies:
While safety remains crucial, simpler studies without advanced methodologies or comprehensive frameworks have become less frequent, reflecting a trend towards more sophisticated risk assessment techniques. - Local Case Studies:
Research focused solely on localized case studies without broader implications or comparisons has diminished, likely due to the journal's emphasis on global and comparative analyses.
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