JOURNAL OF OPERATIONS MANAGEMENT

Scope & Guideline

Fostering Knowledge, Enhancing Efficiency

Introduction

Welcome to the JOURNAL OF OPERATIONS MANAGEMENT information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of JOURNAL OF OPERATIONS MANAGEMENT, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0272-6963
PublisherWILEY
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1980 to 1991, from 1993 to 2024
AbbreviationJ OPER MANAG / J. Oper. Manag.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

The Journal of Operations Management focuses on advancing the understanding of operations management and supply chain management practices through rigorous research and innovative methodologies. It aims to bridge theory and practice by publishing high-quality research that addresses contemporary challenges faced by organizations.
  1. Operations and Supply Chain Management:
    The journal emphasizes research that addresses practical issues in operations and supply chain management, including strategies for enhancing efficiency, responsiveness, and resilience in complex supply chains.
  2. Healthcare Operations:
    A significant area of focus is healthcare operations, exploring how operational practices can improve patient care, reduce costs, and enhance overall healthcare delivery systems.
  3. Sustainability and Corporate Social Responsibility (CSR):
    The journal encourages research on sustainable practices within operations management, examining how organizations can implement CSR initiatives and achieve environmental goals while maintaining operational efficiency.
  4. Digital Transformation and Technology Integration:
    Research on the impact of digital technologies on operations management is a key focus, including how organizations can leverage data analytics, automation, and AI to optimize processes and decision-making.
  5. Behavioral and Social Aspects of Operations Management:
    The journal explores the human factors influencing operations, such as team dynamics, leadership, and employee behavior, aiming to understand how these elements affect organizational performance.
  6. Interorganizational Collaboration and Networks:
    The study of relationships and networks within and across organizations is emphasized, particularly how collaboration can drive innovation and improve operational outcomes.
The Journal of Operations Management is currently witnessing several emerging themes that reflect the evolving landscape of operations management. These trends indicate a shift towards addressing contemporary challenges and leveraging innovative approaches.
  1. Agility and Resilience in Operations:
    There is a growing emphasis on developing agile and resilient operations, particularly in response to disruptions such as the COVID-19 pandemic, highlighting the need for organizations to adapt quickly to changing conditions.
  2. Digitalization and Smart Technologies:
    Research focusing on the integration of digital technologies, such as AI, IoT, and big data analytics, is increasingly prevalent, as organizations seek to enhance operational efficiency and decision-making.
  3. Sustainability and Circular Economy Practices:
    An emerging trend is the focus on sustainability and circular economy practices in operations management, exploring how organizations can minimize waste and environmental impact while maximizing resource efficiency.
  4. Healthcare Operations Innovation:
    Innovations in healthcare operations are gaining attention, particularly in optimizing patient care delivery, improving operational efficiencies, and addressing systemic challenges within healthcare systems.
  5. Collaborative and Networked Operations:
    The study of collaborative dynamics and interorganizational networks is on the rise, reflecting the importance of cooperation and partnerships in enhancing operational performance.
  6. Behavioral Insights in Operations Management:
    There is an increasing interest in the behavioral aspects of operations management, focusing on how psychological and social factors influence decision-making and performance within organizations.

Declining or Waning

While the Journal of Operations Management has consistently focused on various important themes, some areas of research appear to be declining in prominence, possibly due to changing priorities in the field or saturation of existing literature.
  1. Traditional Lean Manufacturing Techniques:
    Research specifically focused on traditional lean manufacturing methods has seen a decline, as organizations increasingly seek to integrate lean principles with digital technologies and agile practices.
  2. Basic Supply Chain Management Models:
    There is a noticeable waning interest in foundational supply chain management models that do not incorporate contemporary challenges such as digital disruption, sustainability, and global complexities.
  3. Cost-Reduction Strategies:
    While cost-reduction remains important, there is a shift away from purely cost-focused strategies towards more holistic approaches that consider customer experience, innovation, and value creation.
  4. Single-Disciplinary Studies:
    Research that strictly adheres to a single discipline without interdisciplinary approaches is becoming less common, as scholars increasingly recognize the need for integrated perspectives in addressing complex operational issues.
  5. Static Analysis Frameworks:
    The use of static analytical frameworks that do not account for dynamic changes in the operational environment is declining, with researchers favoring more adaptable and responsive models.

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