Croatian Operational Research Review

Scope & Guideline

Bridging Theory and Practice in Operational Sciences

Introduction

Delve into the academic richness of Croatian Operational Research Review with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1848-0225
PublisherCROATIAN OPERATIONAL RESEARCH SOC
Support Open AccessYes
CountryCroatia
TypeJournal
Convergefrom 2017 to 2024
AbbreviationCROAT OPER RES REV / Croat. Oper. Res. Rev.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressC/O MARIJANA ZEKIC-SUSAC, EKON FAK & OSIJEKU, OSIJEK 00000, CROATIA

Aims and Scopes

The Croatian Operational Research Review focuses on the development and application of operational research methodologies to solve complex decision-making problems across various fields. The journal's emphasis is on both theoretical advancements and practical applications, making it a valuable resource for researchers and practitioners alike.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Interdisciplinary Perspectives:
    The journal encourages interdisciplinary research that applies operational research tools to diverse fields, including healthcare, logistics, and environmental studies.
The Croatian Operational Research Review has recently seen a rise in interest in several innovative and contemporary themes, reflecting the evolving landscape of operational research and its applications.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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

While the Croatian Operational Research Review has a strong foundation in various operational research methodologies, certain themes have shown a decline in publication frequency, suggesting a shift in focus within the journal.
  1. 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.
  2. 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.
  3. 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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