International Journal of Quality & Reliability Management

Scope & Guideline

Fostering Reliability in Diverse Sectors

Introduction

Welcome to your portal for understanding International Journal of Quality & Reliability Management, 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
ISSN0265-671x
PublisherEMERALD GROUP PUBLISHING LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Converge1970, from 1984 to 2024
AbbreviationINT J QUAL RELIAB MA / Int. J. Qual. Reliab. Manag.
Frequency9 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressFloor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE LS1 4DL, ENGLAND

Aims and Scopes

The International Journal of Quality & Reliability Management focuses on advancing the understanding of quality and reliability management across various sectors. It aims to publish high-quality research that contributes to theory, methodology, and practice in the field, emphasizing empirical studies, innovative methodologies, and practical applications.
  1. Quality Management Systems (QMS):
    The journal explores various Quality Management Systems, including ISO standards and their impact on organizational performance, emphasizing empirical studies and case analyses.
  2. Reliability Engineering:
    Research in this area focuses on the reliability of systems and processes, including methodologies for assessing and improving reliability in manufacturing, healthcare, and service sectors.
  3. Lean and Six Sigma Methodologies:
    The journal publishes studies centered on Lean and Six Sigma principles, focusing on their application in various industries to enhance quality and operational efficiency.
  4. Supply Chain Quality Management:
    It includes research on quality management in supply chains, addressing challenges and solutions related to quality assurance, risk management, and performance measurement.
  5. Digital Transformation in Quality Management:
    The journal covers the integration of digital technologies, such as Industry 4.0 and Quality 4.0, into quality management practices, highlighting innovative approaches and frameworks.
  6. Sustainability and Quality Management:
    Research on the intersection of sustainability practices and quality management, exploring how organizations can achieve environmental, social, and economic sustainability through quality initiatives.
The International Journal of Quality & Reliability Management has been adapting to contemporary challenges and opportunities in the field of quality and reliability management. This section identifies the emerging themes and trends that have gained traction in recent publications.
  1. Integration of Blockchain Technology:
    There is a rising trend in exploring blockchain technology's applications in quality management, particularly in supply chains, emphasizing transparency, traceability, and enhanced trust.
  2. Quality 4.0 and Industry 4.0:
    Research focusing on Quality 4.0 and its relation to Industry 4.0 technologies is on the rise, highlighting the impact of digital transformation on quality management practices and systems.
  3. Healthcare Quality Management:
    An increasing number of studies are addressing quality management in healthcare settings, focusing on improving patient outcomes, service quality, and operational efficiency in response to recent global health challenges.
  4. Sustainability in Quality Practices:
    There is a growing emphasis on sustainability within quality management frameworks, exploring how organizations can integrate sustainable practices into their quality initiatives.
  5. Advanced Data Analytics and Machine Learning:
    The use of advanced data analytics and machine learning techniques in quality management is gaining momentum, with research focusing on predictive analytics, process optimization, and decision-making.
  6. Collaborative Supply Chain Quality Management:
    Emerging research is focusing on collaborative approaches within supply chains to enhance quality management, emphasizing stakeholder engagement and integrated quality practices.

Declining or Waning

While the journal continues to evolve, certain themes have shown a decrease in prominence in recent publications. This section highlights those areas that are gradually being less emphasized in the journal's focus.
  1. Traditional Quality Control Techniques:
    There has been a noticeable decline in studies focused solely on traditional quality control methods, as the field shifts towards more integrated approaches that encompass digital tools and methodologies.
  2. Sector-Specific Case Studies:
    While case studies remain valuable, there is a waning interest in sector-specific analyses without broader implications, as researchers are increasingly looking for cross-sector insights and generalized frameworks.
  3. Basic Statistical Methods in Quality Management:
    The application of basic statistical methods is becoming less prominent, with a shift towards more complex and innovative analytical techniques, including machine learning and advanced predictive analytics.
  4. Single-Dimensional Performance Metrics:
    Research focusing on single-dimensional performance metrics is declining as there is a growing recognition of the need for multi-dimensional approaches that consider various quality aspects holistically.

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