Croatian Operational Research Review
Scope & Guideline
Connecting Scholars to Shape Operational Innovation
Introduction
Aims and Scopes
- Operational Research Methodologies:
The journal publishes research that develops new operational research techniques, including linear programming, multi-criteria decision making, and data envelopment analysis, among others. - Applications in Economics and Finance:
A significant portion of the journal's articles focus on applying operational research methods to economic and financial contexts, such as stock market analysis, efficiency assessments of financial institutions, and economic modeling. - Behavioral and Decision-Making Analysis:
The journal includes studies that explore decision-making processes and behavioral economics, examining factors influencing choices in various sectors, including finance and management. - Technological and Data-Driven Approaches:
Recent articles highlight the integration of technology and data analysis, such as machine learning and fuzzy logic, into operational research, reflecting a trend towards more advanced quantitative methods. - Interdisciplinary Perspectives:
The journal encourages interdisciplinary research that applies operational research tools to diverse fields, including healthcare, logistics, and environmental studies.
Trending and Emerging
- Integration of Machine Learning:
There is an emerging trend of incorporating machine learning techniques into operational research, particularly in financial modeling and market analysis, indicating a shift towards data-driven decision-making. - Focus on Cyber Behavior and Technology Impact:
Recent publications reveal an increasing interest in understanding the impact of technology on human behavior, such as cyberloafing, highlighting the intersection of IT and operational research. - Sustainability and Environmental Applications:
Research addressing sustainability issues and environmental impact assessments has gained traction, reflecting global concerns and the need for operational research to contribute to sustainable development. - Complex Systems and Network Analysis:
The rise in studies related to complex systems and network analysis indicates a growing recognition of the importance of understanding interconnected systems within operational research. - Behavioral Economics and Decision-Making:
There is a noticeable increase in research examining the behavioral aspects of decision-making, emphasizing the psychological factors that influence economic and operational choices.
Declining or Waning
- Traditional Optimization Techniques:
There seems to be a waning interest in classical optimization methods, as newer approaches and interdisciplinary applications gain prominence in the recent literature. - Sector-Specific Studies:
Research focused on specific sectors, such as agriculture or traditional manufacturing, appears to be declining, possibly due to a broader trend towards more generalized and adaptable operational research applications. - Macroeconomic Analyses:
While macroeconomic studies were previously common, the focus on detailed macroeconomic modeling has decreased, replaced by more specific analyses related to decision-making and efficiency.
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