OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

Scope & Guideline

Advancing Management Science for Tomorrow's Leaders.

Introduction

Welcome to your portal for understanding OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0305-0483
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1973 to 2025
AbbreviationOMEGA-INT J MANAGE S / Omega-Int. J. Manage. Sci.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

Aims and Scopes

OMEGA - International Journal of Management Science focuses on advancing the field of management science through innovative methodologies, interdisciplinary research, and practical applications. The journal encompasses a wide range of topics relevant to management and operations, with a commitment to addressing contemporary challenges in various industries.
  1. Operations Research and Optimization:
    The journal emphasizes the development and application of operations research techniques to solve complex optimization problems in various contexts, including supply chain management, logistics, and production planning.
  2. Sustainability and Environmental Management:
    Research focusing on sustainable practices and environmental concerns within management science is a core area. This includes studies on green supply chains, eco-design, and the impact of regulations on corporate behavior.
  3. Data-Driven Decision Making:
    The journal publishes works that leverage big data analytics, machine learning, and decision-support systems to enhance decision-making processes in management and operations.
  4. Supply Chain and Logistics Management:
    A significant focus is placed on the dynamics of supply chains, including risk management, resilience, and the integration of innovative technologies such as blockchain and IoT.
  5. Behavioral and Strategic Management:
    The journal also explores the intersection of behavioral science and management, examining how consumer behavior, strategic alliances, and market dynamics influence organizational performance.
In recent years, OMEGA has witnessed the emergence of several themes that reflect the evolving landscape of management science. These trends indicate a shift towards more integrated, technology-driven, and sustainability-focused research.
  1. Integration of AI and Machine Learning in Management:
    There is a growing trend towards the application of artificial intelligence and machine learning techniques to enhance decision-making, predictive analytics, and operational efficiencies in management.
  2. Sustainable Supply Chain Innovations:
    Research focused on sustainable practices within supply chains is gaining traction, with an emphasis on circular economy principles, carbon footprint reduction, and sustainable sourcing.
  3. Resilience and Risk Management:
    The importance of resilience in supply chains and organizations has become a focal point, especially in the context of global disruptions like the COVID-19 pandemic.
  4. Digital Transformation in Operations:
    The exploration of digital transformation strategies and their impact on operational efficiency and customer engagement is increasingly prevalent, highlighting the role of technology in modern management.
  5. Collaborative and Networked Decision Making:
    Emerging research is focusing on collaborative decision-making frameworks and networked approaches, particularly in the context of multi-agent systems and stakeholder engagement.

Declining or Waning

While OMEGA continues to explore a broad spectrum of research areas, certain themes have seen a decline in focus over recent years. This shift reflects changing priorities within the field and the emergence of new methodologies and topics.
  1. Traditional Inventory Management Techniques:
    Research focusing on conventional inventory management methods has decreased, as newer, more dynamic approaches that incorporate real-time data and analytics gain prominence.
  2. Static Supply Chain Models:
    There has been a noticeable reduction in studies employing static models for supply chain analysis, with a shift toward more adaptive and flexible models that account for uncertainties and variability.
  3. Single-Factor Decision Making:
    The focus on single-factor models in decision-making processes is waning, as multi-criteria and holistic approaches that consider various interacting factors are becoming more favored.
  4. Local vs. Global Supply Chain Strategies:
    Discussions centered on purely local supply chain strategies have diminished, reflecting a broader trend towards integrating global perspectives and collaborative approaches in supply chain management.
  5. Basic Performance Metrics in Supply Chains:
    The use of traditional performance metrics for supply chain evaluation is being overshadowed by more comprehensive frameworks that incorporate sustainability and social impact assessments.

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