TQM Journal
Scope & Guideline
Exploring New Frontiers in Quality Management Research
Introduction
Aims and Scopes
- Total Quality Management (TQM) Principles:
The journal emphasizes the foundational principles of TQM, exploring how these principles can be applied across different industries to enhance quality management practices and outcomes. - Industry-Specific Applications:
Research published in the journal often focuses on the implementation of TQM in specific sectors such as healthcare, manufacturing, and education, demonstrating how industry contexts shape quality practices. - Integration of Modern Technologies:
The journal explores the integration of modern technologies such as Industry 4.0, digitalization, and machine learning with TQM practices, highlighting innovative approaches to quality management. - Sustainability and Corporate Social Responsibility (CSR):
A significant focus is placed on the intersection of TQM, sustainability, and CSR, examining how quality management can contribute to sustainable practices and enhance social responsibility in organizations. - Quantitative and Qualitative Research Methodologies:
The journal publishes both quantitative and qualitative research methodologies, providing a comprehensive view of how different approaches can be used to study and implement TQM.
Trending and Emerging
- Quality 4.0:
There is a growing emphasis on Quality 4.0, which integrates TQM principles with Industry 4.0 technologies, highlighting the role of digital transformation in enhancing quality management practices. - Sustainability and Green Practices:
Research focusing on sustainability and green practices within TQM is trending, as organizations increasingly seek to align quality management with environmental and social responsibilities. - Healthcare Quality Management:
The healthcare sector has become a prominent focus, with an increase in studies examining TQM practices that enhance patient safety, satisfaction, and operational efficiency in healthcare settings. - Employee Engagement and TQM:
Emerging research is exploring the relationship between employee engagement and TQM, emphasizing how engaged employees contribute to quality improvements and organizational performance. - Data-Driven Decision Making:
The use of data analytics and machine learning in quality management is gaining traction, reflecting a trend towards evidence-based practices that leverage data for continuous improvement.
Declining or Waning
- Traditional Manufacturing Focus:
While traditional manufacturing practices remain relevant, there has been a noticeable decline in papers solely dedicated to conventional manufacturing quality practices, as attention shifts towards integrating advanced technologies like Industry 4.0. - Generic TQM Models:
The prevalence of generic TQM models has waned, with less emphasis on broad frameworks and more focus on context-specific studies that address unique challenges in various industries. - Static Quality Control Techniques:
Research centered on static quality control techniques is becoming less common as the field moves towards dynamic and adaptive quality management strategies that incorporate real-time data and feedback. - Limited Coverage of Service Quality in Non-Traditional Sectors:
There appears to be a decline in studies addressing service quality in non-traditional sectors, as the journal increasingly prioritizes empirical research in sectors like healthcare and technology. - Focus on Historical Perspectives:
The journal's historical analyses of TQM practices are less frequent, indicating a shift towards more forward-looking research that addresses contemporary challenges in quality management.
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