IMA Journal of Management Mathematics

Scope & Guideline

Bridging Theory and Practice with Mathematical Precision

Introduction

Delve into the academic richness of IMA Journal of Management Mathematics 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
ISSN1471-678x
PublisherOXFORD UNIV PRESS
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Converge1986, from 1988 to 1989, from 1991 to 1993, from 1995 to 2024
AbbreviationIMA J MANAG MATH / IMA J. Manag. Math.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressGREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND

Aims and Scopes

The IMA Journal of Management Mathematics focuses on the integration of mathematical techniques with management practices, emphasizing the application of mathematical modeling and optimization in various management contexts. It serves as a platform for disseminating innovative research that combines theoretical developments with practical applications in management.
  1. Mathematical Modeling and Optimization:
    The journal emphasizes the development and application of mathematical models to solve complex management problems, ranging from supply chain management to financial optimization.
  2. Performance Evaluation and Efficiency Analysis:
    It covers methodologies for assessing and improving performance in various sectors, including healthcare, manufacturing, and services, using techniques such as data envelopment analysis (DEA) and stochastic modeling.
  3. Decision Making Under Uncertainty:
    Research often explores decision-making frameworks that incorporate uncertainty, including risk management strategies, behavioral economics, and probabilistic modeling.
  4. Interdisciplinary Approaches:
    The journal promotes interdisciplinary research, bridging mathematics with fields such as economics, operations research, and behavioral sciences to address contemporary management challenges.
  5. Applications in Sports Management:
    A distinctive focus on sports management is evident, with papers analyzing performance metrics, strategic decision-making, and operational efficiency in sports contexts.
Recent publications in the IMA Journal of Management Mathematics reveal several emerging themes that are gaining traction among researchers. These trends indicate a progressive adaptation of the journal's scope to address contemporary challenges and innovations in management.
  1. Sustainability and Environmental Management:
    There is a rising interest in sustainability, with papers focusing on eco-efficiency, carbon reduction strategies, and the integration of environmental considerations into operational decision-making.
  2. AI and Machine Learning Applications:
    The integration of artificial intelligence and machine learning techniques into management mathematics is a significant trend, reflecting the increasing importance of data-driven decision-making in various management contexts.
  3. Behavioral and Experimental Approaches:
    Emerging research themes include behavioral analysis and experimental methods to understand decision-making processes, particularly in uncertain and dynamic environments.
  4. Intermodal and Synchromodal Transportation Planning:
    An increasing number of studies focus on optimizing transportation logistics, highlighting the importance of efficiency and cost-effectiveness in supply chain management.
  5. Healthcare Operations Management:
    Papers addressing operational challenges in healthcare systems, including resource allocation, patient flow optimization, and response to public health crises, are becoming more prevalent.

Declining or Waning

While the IMA Journal of Management Mathematics continues to thrive in various areas, certain themes have shown signs of declining frequency in recent publications. This may reflect shifts in research interests or the maturation of particular topics within the field.
  1. Traditional Operational Research Techniques:
    There has been a noticeable decline in the publication of papers solely focused on classical operational research methods, as researchers increasingly seek innovative, integrated approaches that combine multiple methodologies.
  2. Static Models in Supply Chain Management:
    Papers utilizing static models for supply chain analysis are less frequent, with a shift towards dynamic and stochastic models that better capture real-world complexities.
  3. Basic Statistical Methods:
    Research that relies exclusively on basic statistical techniques is diminishing, as the field moves towards more sophisticated analytical methods that incorporate machine learning and advanced computational techniques.
  4. Purely Theoretical Studies:
    There is a trend away from papers that present purely theoretical results without practical applications, as the journal increasingly favors studies with clear managerial implications and real-world relevance.
  5. Single-Disciplinary Focus:
    Research with a narrow disciplinary focus is waning, with a growing preference for interdisciplinary studies that integrate insights from multiple fields to enrich management mathematics.

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