Journal of Operational Risk

Scope & Guideline

Bridging Theory and Practice in Operational Risk

Introduction

Welcome to your portal for understanding Journal of Operational Risk, 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
ISSN1744-6740
PublisherINCISIVE MEDIA
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2011 to 2024
AbbreviationJ OPER RISK / J. Oper. Risk.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressHAYMARKET HOUSE, 28-29 HAYMARKET, LONDON SW1Y 4RX, ENGLAND

Aims and Scopes

The Journal of Operational Risk focuses on advancing the understanding of operational risk management across various sectors, particularly in the financial industry. It aims to provide a platform for innovative methodologies and practices that enhance risk assessment, measurement, and mitigation strategies.
  1. Operational Risk Measurement and Management:
    The journal delves into methodologies for quantifying operational risk, including the application of statistical models, machine learning, and extreme value theory to better understand potential loss scenarios.
  2. Impact of Technology on Risk Management:
    A significant focus on how technological advancements, such as fintech and information technology, influence operational risk management practices, including risk mitigation and auditing processes.
  3. Regulatory Frameworks and Compliance:
    Explores the implications of regulations on operational risk, including compliance strategies and the effects of regulatory changes in different banking environments.
  4. Behavioral and Organizational Aspects of Risk:
    Investigates how organizational culture, governance structures, and internal audit practices affect operational risk management and the overall risk landscape.
  5. Sector-Specific Studies:
    The journal features research on operational risk pertinent to specific sectors, particularly banking, with examinations of regional differences and unique challenges faced by institutions.
Recent publications in the Journal of Operational Risk highlight several emerging themes that reflect the evolving landscape of operational risk management, particularly in response to global challenges and technological advancements.
  1. Integration of Machine Learning and AI in Risk Management:
    There is a growing emphasis on the use of advanced analytics, including machine learning and AI, to enhance the categorization and prediction of operational risk events, marking a significant trend towards data-driven decision-making.
  2. Impact of Cyber Risk on Operational Frameworks:
    Research focusing on cyber risk, including definitions, classifications, and its integration into broader operational risk frameworks, has gained traction, underscoring the increasing importance of cybersecurity in risk management.
  3. Post-Pandemic Risk Management Strategies:
    The journal has seen an uptick in studies analyzing the shifts in operational risk management practices resulting from the Covid-19 pandemic, highlighting the need for resilience and adaptability in risk frameworks.
  4. Cross-Sectoral Risk Analysis:
    Emerging studies that examine operational risk across different sectors, including non-financial industries, are on the rise, indicating a broader application of operational risk principles beyond traditional banking.
  5. Behavioral Insights in Risk Management:
    There is an emerging focus on the behavioral aspects of risk management, including how organizational culture and board diversity influence risk-taking and governance structures.

Declining or Waning

While the Journal of Operational Risk continues to explore a broad range of topics, certain themes have shown a decline in focus over recent years, indicating a shift in research priorities and emerging interests.
  1. Traditional Risk Assessment Models:
    There is a noticeable decrease in papers focusing on conventional risk assessment models, suggesting a shift towards more innovative and complex methodologies that incorporate modern data analytics and machine learning.
  2. Generalized Economic Impact Studies:
    Research that broadly examines economic impacts of operational risk without specific contextual focus is less prevalent, indicating a trend towards more targeted studies with actionable insights in specific sectors.
  3. Descriptive Risk Analysis:
    Studies that merely describe operational risk without offering prescriptive methodologies or solutions have become less common, reflecting a preference for research that provides concrete frameworks or tools for practitioners.

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