IMPACT
FACTOR 4
Journals Detail
Journal: International Journal of Systems Science: Operations & Logistics
Online ISSN: 2330-2682
Print ISSN: 2330-2674
Publisher Name: Taylor & Francis
Starting Year: 2014
Website URL: https://www.tandfonline.com/journals/tsyb20
Country: United Kingdom
Email: onlinesupport@tandfonline.com
Research Discipline Systems Science: Operations & Logistics
Frequency: Quarterly
Research Language: English
About Journal:
Aims and scope
The International Journal of Systems Science: Operations & Logistics (O&L) is a multidisciplinary journal exploring the complex interactions and behaviours within operations and logistics, with a particular emphasis on systems science. The journal emphasizes the need to design and manage efficient systems with enhanced performance to ensure wise and sustainable resource usage across all operational stages. O&L is committed to publishing cutting-edge, high-quality, and original research that addresses both theoretical advancements and practical challenges in the field. The journal primarily serves academic researchers, industry practitioners, and decision-makers in operations and logistics, ensuring that contributions cater to both scholarly excellence and practical impact.
What sets O&L apart is its emphasis on actionable insights alongside theoretical advancements, effectively bridging the gap between academic rigour and practical relevance. The journal encourages research that not only pushes theoretical boundaries but also offers clear managerial or policy implications. It promotes a systemic approach to problem-solving, considering the system as a whole, its various elements, such as different stakeholders and their interactions, and the broader implications of the findings for both the system and its components.
Key Focus Areas
O&L covers a broad range of topics within operations and logistics, emphasizing transformative advancements in technology, sustainability, and systems thinking. The journal values contributions that employ rigorous quantitative and computational methodologies, such as operations research, optimization, simulation, and decision sciences, while also recognizing the role of qualitative and conceptual approaches in addressing complex challenges. Submissions should demonstrate how they advance the transformation of operations and logistics systems.