Quality Innovation Prosperity-Kvalita Inovacia Prosperita
Scope & Guideline
Driving Excellence in Research and Practice.
Introduction
Aims and Scopes
- Quality Management Systems:
The journal emphasizes the development and implementation of quality management systems, particularly in relation to frameworks like Total Quality Management (TQM) and Quality 4.0. This includes methodologies for enhancing operational efficiency and performance in organizations. - Innovation and Technology Integration:
A core focus is on the integration of innovative technologies within management practices, particularly in the context of Industry 4.0. This includes research on digital transformation, artificial intelligence, and other technological advancements that drive quality and productivity. - Sustainability and Corporate Responsibility:
The journal addresses themes of sustainability, including environmental, social, and governance (ESG) considerations in business practices. It explores how these factors influence organizational performance and stakeholder engagement. - Entrepreneurship and Economic Development:
Research related to entrepreneurship, particularly in the context of fostering innovation and economic growth, is a significant aspect of the journal. This includes studies on educational approaches and strategic management within SMEs. - Methodological Approaches to Quality Improvement:
The journal encourages diverse methodological approaches to quality improvement, including statistical process control, lean management, and Six Sigma methodologies, providing a robust platform for empirical studies.
Trending and Emerging
- Digital Transformation and Quality 4.0:
There is a significant trend towards exploring the implications of digital transformation on quality management, particularly the concept of Quality 4.0, which integrates digital technologies into quality practices. - Sustainability and ESG Integration:
Research focusing on sustainability and the integration of ESG factors into business strategies is rapidly gaining traction. This reflects a broader societal shift towards responsible business practices and the need for transparency in reporting. - Artificial Intelligence and Automation in Quality Management:
The application of artificial intelligence and automation in enhancing quality management processes is emerging as a key area of interest, highlighting the potential for these technologies to drive efficiency and innovation. - Interdisciplinary Approaches to Quality and Innovation:
There is an increasing trend towards interdisciplinary research that combines insights from various fields, such as economics, technology, and social sciences, to address complex challenges in quality management and innovation. - Human Resource Management and Employee Well-being:
Emerging themes also include the relationship between human resource practices and quality outcomes, particularly focusing on employee well-being and its impact on organizational performance.
Declining or Waning
- Traditional Quality Management Approaches:
There appears to be a waning interest in traditional quality management practices that do not integrate modern technological advancements. Research focusing solely on classical TQM principles without the incorporation of digital tools is becoming less prevalent. - Sector-Specific Studies:
Research that focuses narrowly on specific sectors, such as manufacturing or healthcare without a broader context, is decreasing. This shift may be towards more interdisciplinary studies that encompass multiple sectors and their interrelations. - Basic Statistical Methods in Quality Assessment:
The use of basic statistical methods for quality assessment is declining, as there is a growing preference for advanced analytical techniques, including machine learning and data analytics, which offer more robust insights into quality management.
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