EFQM and ISO quality management models: A comparative analysis based on literature review

B a c k g r o u n d . Nowadays, Ukraine's defense and security sector is undergoing fundamental reforms in the procurement of defense products, particularly in the field of quality assurance of such products through the assessment of quality management systems within the framework of Governmental Quality Assurance (GQA) actions. These reforms require both theoretical and methodological justification regarding the directions of such changes and the mechanisms for their implementation. An important issue is the establishment of unified terminology in the field of quality management and management in general, harmonized with the corresponding terminology of EU and NATO member states. The full-scale invasion of russia into Ukraine has brought to the forefront issues related to the implementation of a governmental quality assurance system. The goal of the study is to analyze the Soviet quality control system and compare it with the state quality assurance system, as well as to justify the establishment of modern management systems in Ukraine. M e t h o d s . The study employed methods such as analysis, synthesis, and generalization, through which proposals for establishing a new system for ensuring the quality of defense-related products were developed and substantiated. R e s u l t s . In the course of the research, the state of the quality control system for defense products was analyzed, specifically its organizational structure, regulatory framework, and capacity to ensure product quality under modern conditions. The study also examined the state quality assurance system according to the following components: structure, scope of work, documentation, and training of specialists. Possible mechanisms of interaction between these systems were explored at the level of individual elements. A significant part of the research addressed issues of terminological inconsistency and conceptual frameworks in the field of management and quality management, taking into account the specific characteristics of the defense sector. C o n c l u s i o n s . An institutional approach was applied to analyze the existing quality control system and the state quality assurance system. The main directions for implementing a modern quality assurance system in the defense sector were identified. This system should be based on a risk-oriented approach and the evaluation of quality management processes within enterprises supplying defense-related products.

The article deals with specific features of quality management at Russian enterprises in conditions of intensive import-substitution connected with introduction of economic sanctions against our country. The article briefly studies preconditions of imposing economic sanctions, analyzes specificity of conducting import-substitution in the Russian Federation in recent years, identifies key problems in the field of quality management in respect of importsubstituted products and provides recommendations aimed at raising the efficiency of quality management at Russian enterprises in the current situation. In the field of import-substitution we can observe certain positive trends however we face a lot of problems due to withdrawal from Russia and refusal to cooperate on the part of Western companies, which caused the necessity to re-adjust production processes, to alter supply chains and to build renovated systems of product quality management. Provision of high quality of products is one of the most important objectives in new circumstances, but for this end we shall search for new suppliers of high-quality raw materials and components and we need serious changes in business-processes. Current problems in this field include perception of quality management only from instrumental point of view, insufficient attention to customer needs, the absence of clear-cut understanding of benefits provided by executives’ adherence to philosophy of total quality management, difficulties with introduction of process approach to quality management, the absence at the enterprise of orientation to continuous improvement of quality indicators and so on. When these problems are resolved, we can reach success in the field of quality management.

Purpose This study introduces advancing knowledge in the field of quality management, positioning it as an evolution of traditional quality management practices that is specifically tailored to meet the demands of today's smart systems and the ongoing digital transformation. To further contextualize Quality 6.0 (Q6.0), the study explores its integration within the broader framework of Industry 6.0 (I6.0), an emerging paradigm that transcends the automation and digitalization focus of its predecessors, Industry 4.0 (I4.0) and Industry 5.0 (I5.0). Design/methodology/approach The study applies the Q6.0 framework to the selection of Intelligent Traffic Management Systems (ITMS), a critical component of smart city initiatives aimed at optimizing traffic flow, reducing congestion and enhancing overall urban mobility. Five ITMS alternatives are evaluated and ranked using a Multi-Criteria Decision-Making (MCDM) approach. Specifically, the Intuitionistic Fuzzy Step-wise Weight Assessment Ratio Analysis (IF-SWARA) method is employed for criteria weight determination, and the Intuitionistic Fuzzy COmbinative Distance-based ASsessment (IF-CODAS) method is used for ranking the alternatives. Findings The findings highlight the importance of integrating advanced quality management practices into the development and deployment of intelligent systems, particularly in urban infrastructure. Practical implications I6.0 emphasizes human-centered, sustainable and resilient systems that leverage advanced technologies such as artificial intelligence, robotics and the Internet of Things (IoT) to create smart, autonomous and adaptive ecosystems. Q6.0 aligns with this vision by incorporating multiple key criteria that reflect the evolving demands of modern quality management. Originality/value By introducing Q6.0 to the academic literature, this study provides a robust framework for future research and practical applications in the era of I4.0 and beyond.

The aim of the paper is to improve the quality management system, in the field of the family business succession process management, with the application of TRIZ contradiction modelling. In this work, the authors focus on cognitive activity in contradictions modelling, which is the basis for the first two stages of ARIZ85C, i.e., analysing the problem and analysing the problem model. The application of TRIZ contradiction modelling in the field of quality management is discussed. The selected methods of the acquisition of contradictions are analysed. To identify the contradictions in management systems the method which facilitate the implication of quantitative approach using Grey Incidence Analysis is developed. As a result, the information about the system components and their interactions, functions, contradictions and about the degree of grey incidence between the system components and the system as a whole is obtained. The proposed concept of contradiction modelling is applied and tested in selected family enterprise.

Purpose: The purpose of this paper is to critically examine the conceptual foundations of sustainable quality management by integrating quality management principles - particularly those embodied in the EFQM Model - with the objectives of sustainable development. The study seeks to deepen theoretical understanding of how organizational excellence frameworks can evolve to address sustainability imperatives. Design/methodology/approach: The paper adopts a conceptual and theoretical approach, grounded in a narrative literature review and model-based analysis. Using the EFQM Model as a primary analytical framework, the study examines the intersection of quality management and sustainable development. Findings: The research reveals that sustainable quality management requires a systemic, stakeholder-oriented perspective that aligns quality objectives with environmental, social sustainability, and economic performance. The findings suggest that organizations can leverage the EFQM framework to embed sustainability into their quality practices, thereby enhancing long-term value creation and organizational resilience. Research limitations/implications: This study is conceptual in nature and does not include empirical validation. While the theoretical model provides a foundation for understanding sustainable quality management, further empirical research is needed to test its applicability in different sectors and organizational contexts. Practical implications: The integration of sustainability into quality management practices offers organizations a roadmap to align operational excellence with responsible governance. The proposed sustainable quality management model can serve as a strategic guide for managers seeking to balance performance, stakeholder satisfaction, and long-term environmental and social goals. Social implications: By embedding sustainability into quality management systems, organizations can contribute more effectively to the United Nations SDGs. This integration fosters corporate social responsibility, strengthens organizational transparency, and enhances social trust. Originality/value: This paper introduces the concept of sustainable quality management as a novel framework that unites the traditionally separate domains of quality management and sustainable development. By leveraging the EFQM Model, the paper provides a structured pathway for operationalizing sustainability through quality practices. The paper is valuable to academics, quality professionals, and sustainability practitioners seeking to understand or implement integrated management approaches in pursuit of long-term value and excellence. Keywords: quality, sustainability, EFQM Model, sustainable quality management. Category of the paper: construction of a research framework.

Comparative study of the Causal Matrix and Causal Determinant

Abstract. The article presents a methodology for determining the quality of the norms of the institutions of social capital in the organizations. The author’s model of multiple linear regression as an instrument for classifying and adjusting the qualitative level of the norms of the institutions of social capital is used. A regression model representing the environment of the institutions of social capital and the basis for reducing transactional costs is worked out. Appropriate calculations are presented. The notion of the index of the institutions of social capital in the organization is introduced into the scientific turn. The presented methodology will be useful for research in the field of quality management as a consulting service. Keywords. Institutions of social capital, Elements of social capital, Norms of the institutions of social capital, Quality management, Multiple linear regression. JEL. С01, C38, D23, D24, D91, O35, P31, P32.

Thermal spraying is a continuously growing technology in the field of surfacing, already established long time in many high-tech-applications. In air craft turbines, in power generating technology or even in printing and paper industry, numerous requirements of the coatings are solved with the help of thermal spraying. To rule such a special process, how it is called in the language of standardization, because the results of such processes can only be proofed by nondestructive methods in a very restricted way, you need to use calibrated and controlled equipment and parameters as well as adequately experienced, trained and qualified personnel. The GTS – Association of Thermal Sprayers e.V. was founded with the aim to meet these problems successfully. On one hand the association should promote the profile of the thermal spraying technology. On the other hand the GTS wanted to define a quality standard for TS companies concerning to its quality management system, the spraying procedures and the personnel. These requirements were completed by international acknowledged EWF-training guidelines for supervising personnel and workers up to now. EN and ISO standards in the field of quality management, applications and testing were also created.

The article provides a detailed overview of the applications of quality management systems (QMS) and methods for their automation. Different methods of quality management are considered, which are used to obtain metrics for monitoring the quality of production business processes. Automation of monitoring, analysis, and evaluation of the QMS is becoming an increasingly urgent task in today's market conditions. It allows improving the efficiency of enterprises to develop products and services. Various approaches to automate the process of monitoring and evaluating the QMS, including the use of multidimensional data analysis and neural network technologies, are also analyzed in the article. Multidimensional data analysis helps identify hidden patterns and trends in production and quality management processes. Neural network technologies provide the ability to make informed decisions based on the data obtained. The article also discusses the development of a growth strategy using QMS. The development strategy should be aimed at continuously improving product and service quality, increasing enterprise efficiency, and meeting consumer demands. The concept of an information system for monitoring, measuring, analyzing, and evaluating the QMS is a complex of software and hardware tools that ensure the automation of quality control processes. This system allows obtaining objective data on product and service quality and making informed and qualitative decisions to improve quality based on data analytics. Thus, the article represents a valuable source of information for specialists in the field of quality management, heads of enterprises and organizations, as well as anyone interested in improving product and service quality.

In the context of strict regulatory requirements and the desire for continuous improvement, pharmaceutical companies are faced with the need to improve the efficiency and reliability of their quality management systems (QMS). Traditional approaches to the audit of QMS documentation, based on manual analysis, are time-consuming, subject to the human factor and do not always provide the necessary depth of analysis FarBrain, which uses artificial intelligence (AI) technologies for automated audit of QMS documents. The system is designed to analyze various types of documents, including standard operating procedures (SOPs), corrective and preventive action plans (CAPAs), quality policies and reports, for compliance with a wide range of international and national standards, such as EAEU GMP, ICH Q10, ISO 9001, PIC/S Guide, GAMP 5 and FDA 21 CFR Part 11. The system is based on natural language processing (NLP) and machine learning (ML) algorithms that automatically extract key information, identify inconsistencies and potential risks, and make recommendations for improvement. The article describes in detail the methods behind the operation of the system, including the architecture, the AI algorithms used, and the validation process in accordance with the principles of GMP. In addition, the results demonstrating the functionality of the system are presented and compared with other existing AI solutions in the field of quality management. The advantages, challenges and prospects of introducing AI into QMS audit processes are discussed, emphasizing the importance of integration with other digital systems and the development of predictive analytics to ensure a high level of quality and safety of pharmaceutical products.

This article presents a quantitative analysis of a series of science disciplines given to students studying engineering management in the field of quality management. Based on the analysis of training courses of physics and chemistry, the related physical and chemical concepts are marked out, and a fundamental core of interdisciplinary concepts in physics and chemistry was developed.

The Roadmaps of Total Quality Management in the Greek Education System According to Deming, Juran, and Crosby in light of the EFQM Model

Topic analysis of studies on total quality management and business excellence: an update on research from 2010 to 2019

In a dynamic and competitive business environment, innovation strategy and dynamic capabilities are key to achieving competitive advantage. This study proposes a conceptual framework to explore the interaction between innovation strategy and dynamic capabilities, with environmental dynamism as a moderating variable. Innovation strategy enables firms to introduce new products and services that meet evolving market demands, while dynamic capabilities enable firms to adapt to environmental changes. Although the relationship between innovation strategy and competitive advantage has been recognized, there is still a gap in understanding how environmental dynamism moderates this relationship. This study aims to answer the research questions on the effect of innovation strategy on competitive advantage and dynamic capabilities, as well as the mediating role of dynamic capabilities and the moderating role of environmental dynamism. By developing and testing this conceptual framework, this study contributes to the strategic management literature by providing a deeper understanding of the conditions under which innovation strategy effectively achieves competitive advantage. In addition, this study offers practical insights for managers on aligning innovation strategy with dynamic capabilities to navigate complex business environments. The findings are relevant to firms operating in increasingly complex and dynamic business environments and provide directions for future research exploring the interaction between internal and external factors in determining the success of innovation strategies.

As a special commodity, the architectural products are directly related to people's lives and property. With the construction boom, the quality of construction arouses more concern from people. In this paper, we first propose that the important way to ensure and improve the quality of the project is the effective quality control and management. Then, as the basic principle of quality control, the principle of "quality first, customers first" is presented. In addition, another important principle is put forward, namely, taking people as the driving force of quality control, active control as the main part, the quality of construction is controlled comprehensively in the whole process, with the participation of all related people, taking the quality of materials into consideration. Furthermore, we propose quality control measures, in which objective management is implemented so as to perfect the quality-managing system, and human-oriented enterprises' quality culture is established through relying on technological progress and practicing total quality management. At the same time, we suggest that the sound and effective quality management mode is an important guarantee of quality control. And in the process of construction, quality control and management play an important role. Carrying out quality control and management can fully reflect the purpose of project quality management, which can overcome the blindness and randomness in the work of quality and avoid the passiveness, thus enhancing the activity, directedness and orderliness in quality control. Quality control plays a positive role in ensuring the construction process, reducing the project costs and smoothly achieving the overall goal of project quality, which can continuously improve the project quality and further promote the overall economic benefits of enterprises.