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The main objective of this study is to investigate the 7 new quality control or the 7 new management tools and their use in manufacturing organisations. This research investigates the understanding, knowledge of the tools and the level of application of the tools within the manufacturing sector. In addition, this paper aims to identify the benefits, challenges and critical success factors (CSFs) for the application of the 7 new quality control (QC) tools.

An online survey instrument was developed, and data collection was performed utilising a stratified random sampling strategy. The primary strata/clusters were formed by quality professionals working in all aspects of manufacturing organisations and functions. A total of 86 participants from different countries responded to the survey.

The main finding of this study is that 10% of participants within the manufacturing sector perceived that the 7 new QC tools could solve above 80% of organisational problems. Another relevant finding presented in this paper is that tree diagrams were the most utilised of the 7 new QC tools within the manufacturing sector. The least utilised tools are arrow diagrams. The common benefits of using 7 new QC tools in the manufacturing sector are helping people define, measure and analyse the problem areas or even prioritises them and providing some form of structure to the problem-solving efforts. This paper also revealed that the 7 new QC tools were most used in the manufacturing area but least utilised in the new products and research and development (R&D) functions. This work also presents a list of CSFs and challenges required to properly apply the 7 new QC tools in the manufacturing sector.

This study was just carried out in manufacturing organisations. It would be interesting to try and expand to services sectors and compare use within the services sector.

Authors understand that this is the very first empirical study analysing the use and understanding of the 7 new QC or management tools within the manufacturing sector. The results of this study represent an important first step towards a complete understanding of the applicability of these tools in continuous improvement programs on a global scale and the context in which they can be utilized.

The main purpose of this study is to investigate Ishikawa’s statement that “95% of problems in processes can be accomplished using the 7 Quality Control (QC) tools” and explore its validity within the health-care sector. The study will analyze the usage of the 7 QC tools in the health-care service sector and the benefits, challenges and critical success factors (CSFs) for the application of the 7 QC tools in this sector.

In order to evaluate Ishikawa’s statement and how valid his statement is for the health-care sector, an online survey instrument was developed, and data collection was performed utilizing a stratified random sampling strategy. The main strata/clusters were formed by health-care professionals working in all aspects of health-care organizations and functions. A total of 168 participants from European health-care facilities responded to the survey.

The main finding of this study is that 62% of respondents were trained in the 7 QC tools. Only 3% of participants in the health-care sector perceived that the seven tools of QC can solve above 90% of quality problems as originally claimed by Dr Ishikawa. Another relevant finding presented in this paper is that Histograms, Cause and Effect diagrams and check sheets are the most used tools in the health-care sector. The least used tools are Stratification and Scatter diagrams. This paper also revealed that the 7 QC tools proposed by Dr Ishikawa were most used in hospital wards and in administration functions. This work also presents a list of CSFs required for the proper application of the 7 QC tools in healthcare.

This research was carried out in European health-care facilities – and there is an opportunity to expand the study across global health-care facilities. There is also an opportunity to study the use of the tools and their impact on hospital performance using the Action Research methodology in a health-care organization.

To the best of the authors’ knowledge, this is the very first research within the health-care sector that focused on investigating the usage of all the 7 basic tools and challenging Dr Ishikawa’s statement: “95% of problems in processes can be accomplished using the 7 Quality Control (QC) tools” from his book “What is Quality Control?” The results of this study represent an important first step toward a full understanding of the applicability of these tools in the health-care sector.

The main purpose of this study is to revisit Ishikawa's statement: “95% of problems in processes can be accomplished using the original 7 Quality Control (QC) tools”. The paper critically investigates the validity of this statement in higher education institutions (HEIs). It involves analysis of the usage of the 7 QC tools and identifying the barriers, benefits, challenges and critical success factors (CSFs) for the application of the 7 QC tools in a HEI setting.

An online survey instrument was developed, and as this is a global study, survey participants were contacted via social networks such as LinkedIn. Target respondents were HEIs educators or professionals who are knowledgeable about the 7 QC tools promulgated by Dr Ishikawa. Professionals who work in administrative sectors, such as libraries, information technology and human resources were included in the study. A number of academics who teach the 7 basic tools of QC were also included in the study. The survey link was sent to over 200 educators and professionals and 76 complete responses were obtained.

The primary finding of this study shows that the diffusion of seven QC tools is not widespread in the context of HEIs. Less than 8% of the respondents believe that more than 90% of process problems can be solved by applying the 7 QC tools. These numbers show that modern-quality problems may need more than the 7 basic QC basic tools and there may be a need to revisit the role and contribution of these tools to solve problems in the higher education sector. Tools such as Pareto chart and cause and effect diagram have been widely used in the context of HEIs. The most important barriers highlighted are related to the lack of knowledge about the benefits and about how and when to apply these tools. Among the challenges are the “lack of knowledge of the tools and their applications” and “lack of training in the use of the tools”. The main benefits mentioned by the respondents were “the identification of areas for improvement, problem definition, measurement, and analysis”. According to this study, the most important factors critical for the success of the initiative were “management support”, “widespread training” and “having a continuous improvement program in place”.

The exploratory study provides an initial understanding about the 7 QC tools application in HEIs, and their benefits, challenges and critical success factors, which can act as guidelines for implementation in HEIs. Surveys alone cannot provide deeper insights into the status of the application of 7 QC tools in HEIs, and therefore qualitative studies in the form of semi-structured interviews should be carried out in the future.

This article contributes with an exploratory empirical study on the extent of the use of 7 QC tools in the university processes. The authors claim that this is the first empirical study looking into the use of the 7 QC tools in the university sector.

The use of quality management (QM) to achieve the United Nations Sustainable Development Goals (UNSDGs) is a topic of growing interest in academia and industry. The IAQ (International Academy for Quality) established Quality Sustainability Award in 2020, a testament to this growing interest. This study aims to investigate how QM philosophies, methodologies and tools can be used to achieve sustainable development in organizations.

Five large manufacturing organizations – three from India and two from China – who reported their achievements about using QM in achieving Sustainable Development Goals (SDGs) were studied using multiple sources of data collection. A detailed within-case and cross-case analysis were conducted to unearth this linkage's practical and theoretical aspects.

The study finds that QM methodologies effectively met the five organizations' UNSDGs. These organizations successfully used OPEX (Operational Excellence) methodologies such as Lean, Kaizen and Six Sigma to meet UNSDGs 7, 11, 12 and 13. Moreover, UNSG 12 (Responsible Consumption and Production) is the most targeted goal across the case studies. A cross-case analysis revealed that the most frequently used quality tools were Design of Experiments (DoE), Measurement Systems Analysis (MSA), C&E analysis and Inferential statistics, among other essential tools.

The study's sample size was limited to large-scale manufacturing organizations in the two most populous countries in the world. This may limit the study's generalizability to other countries, continents, or micro-, small- and medium-sized enterprises (SMEs). Additionally, the study's conclusions would be strengthened if tested as hypotheses in a follow-up survey.

This practical paper provides case studies on how to use QM to impact SDGs. It offers both descriptive and prescriptive solutions for practitioners. The study highlights the importance of using essential QM tools in a structured and systematic manner, with effective teams, to meet the SDGs of organizations.

The study shows how QM can be used to impact UNSDGs, and this is very important because the UNSDGs are a set of global objectives that aim to address a wide range of social and environmental issues. This study could motivate organizations to achieve the UNSDGs using essential QM tools and make the world a better place for the present and future generations.

This case study is the first to investigate at a micro-level how QM can impact UNSDGs using live examples. It uses data from the IAQ to demonstrate how QM can be integrated into UNSDGs to ensure sustainable manufacturing.

The inadequacy of regulations, the uncertainty of the quality of houses produced and the needs of users all highlight the need for a house analysis in Turkey. The goal of this study is to understand housing quality in Turkey based on the gap between expectations and existing housing stock, to identify the main housing expectations and the problematic issues in the current housing situation.

The authors designed a survey using the quality indicators of several well-known housing quality assessment tools to reveal residents' housing preferences and current housing situation in Turkey. The authors analyzed the survey results to identify the gap between housing preferences and existing conditions to reveal the housing quality of Turkish housing.

Overall results show that residents in Turkey, regardless of their demographics, want and need better houses. It was determined that physical conditions, safety, aesthetics and accessibility are the issues for which the expectations of the participants are high and the lack of which is most felt.

This paper reveals the residents' perspective on housing and their housing quality. It emphasizes the need for more research on housing quality, the need for updated regulation and necessity of a housing quality assessment tool in Turkey.

The focus of this research is to investigate if user-generated content (UGC) generated in the Booking platform can support quality management improvement within the hospitality industry by increasing customer satisfaction and eliminating defects more efficiently. Hence, it contributes to understanding how data-driven companies can rely on customer data to focus on innovation and performance improvement to meet customer requirements, eliminate defects and increase customer satisfaction.

Following the literature review, information was collected from the digital platform Booking, encompassing 15 hotel industry companies in Portugal Porto and Braga regions, selected due to their high number of customer reviews. This data was organized and categorized, eliminating all unnecessary information for the research and building an Excel database. The database was subsequently analysed with SPSS and Voyant software, performing statistical analysis, hypothesis testing and text-mining techniques to analyse the comments. After these analyses, applying quality tools allowed for more in-depth conclusions.

The research results highlight that customers' most relevant requirements in the Portuguese hospitality industry are breakfast, parking and a swimming pool. It was also possible to realize that the location is an attractive requirement, the bathroom is a must-be requirement and breakfast is a performance requirement. The results also allowed us to answer the most critical research question: “Is user-generated content a valuable aid to quality?” the answer is yes since it was possible to use the data to find improvements and faults/failures in the services.

The results of this study represent an essential step towards a complete understanding of how to take advantage of UGC within the hospitality industry by establishing a solid base of techniques, methods and quality tools for UGC analysis that can be applied in future research on different industry sectors.

The Design For Six Sigma (DFSS) methodology is one of the most important to achieving excellence in an organization’s product development process. This paper aims to propose a roadmap for product development based on the DFSS for the consumer durables manufacturing industries. The proposed roadmap presents a systematic approach to the phases of the product development process, integrating the statistical techniques and quality tools that should be used in each phase.

This study presents a detailed roadmap for product development, which was built by identifying gaps in the DFSS methods, based on previous studies on the subject. In this step, the opportunities are provided in all phases from creation to discontinuation of the product in the market. In addition, the roadmap presented was validated by team of stakeholders in the product development process of different industrial companies.

The proposed roadmap for the product development process based on six sigma design suggests a visual tool with sequential steps and techniques that allow you to follow the evolution of the development process from idea conception until the product is discontinued in the market. Identifying the priorities of organizations, especially the consumer, regarding the quality and reliability of the product.

The roadmap seeks to facilitate an understanding of the important stages of the product development process and to provide an approach to improving and optimizing the product before the manufacturing process step through the principles of DFSS methodology. This research provides a guide step by step to apply statistical techniques and quality tools in the product development process to achieve high quality and six sigma level in the manufacturing process.

The proposed roadmap of this research combines design for sigma and product development concepts, covering a wide spectrum of relevant activities that include the product development process, the application of statistical techniques and the design of high-quality durable consumer goods to match manufacturing technologies.

Existing conceptual, empirical and case studies evidence suggests that manufacturing industries find the joint implementation of Kaizen philosophy initiatives. However, the existing practices rarely demonstrated in a single framework and implementation procedure in a structure nature. This paper, therefore, aims to develop, validate and practically test a framework and implementation procedure for the implementation of integrated Kaizen in manufacturing industries to attain long-term improvement of operational, innovation, business (financial and marketing) processes, performance and competitiveness.

The study primarily described the problem, extensively reviewed the current state-of-the-art literature and then identified a gap. Based on it, generic and comprehensive integrated framework and implementation procedure is developed. Besides, the study used managers, consultants and academics from various fields to validate a framework and implementation procedure for addressing business concerns. In this case, the primary data was collected through self-administered questionnaire, and 244 valid questionnaires were received and were analyzed. Furthermore, the research verified the practicability of the framework by empirically exploring the current scenario of selected manufacturing companies.

The research discovered innovative framework and six-phase implementation procedure to fill the existing conceptual gap. Furthermore, the survey-based and exploratory empirical analysis of the research demonstrated that the practice of the proposed framework based on structured procedure is valued and companies attain the middling improvements of productivity, delivery time, quality, 5S practice, waste and accident rate by 61.03, 44, 52.53, 95.19, 80.12, and 70.55% respectively. Additionally, the companies saved a total of 14933446 ETH Birr and 5,658 M² free spaces. Even though, the practices and improvements vary from company to company, and even companies unable to practice some of the unique techniques of the identified CI initiatives considered in the proposed framework.

All data collected in the survey came from professionals working for Ethiopian manufacturing companies, universities and government. It is important to highlight that n = 244 is high sample size, which is adequate for a preliminary survey but reinforcing still needs further survey in terms of generalization of the results since there are hundreds of manufacturing companies, consultants and academicians implementing and consulting Kaizen. Therefore, a further study on a wider Ethiopian manufacturing companies, consultants and academic scale would be informative.

This work is very important for Kaizen professionals in the manufacturing industry, academic and government but in particular for senior management and leadership teams. Aside from the main findings on framework development, there is some strong evidence that practice of Kaizen resulted in achieving quantitative (monetary and non-monetary) and qualitative results. Thus, senior management teams should use this research out to practice and analyze the effect of Kaizen on their own organizations. Within the academic community, this study is one of the first focusing on development, validating and practically testing and should aid further study, research and understanding of Kaizen in manufacturing industries.

So far, it is rare to find preceding studies proposed, validated and practically test an integrated Kaizen framework with the context of manufacturing industries. Thus, authors understand that this is the very first research focused on the development of the framework for manufacturing industries continuously to be competitive and could help managers, institutions, practitioners and academicians in Kaizen practice.

The purpose of this study is to investigate how professionals who are continuing their education rate a higher education quality management course with an emphasis on reflective learning and real problem-solving. The audited course consists of module-based teaching, while students work on an improvement project at their workplace between course sessions. This study has a twofold aim: to contribute to the design of quality improvement courses based on doing as we learn and to offer insight into the use of a final grading method that consist of a folder with reports from the intermediate work steps and a final report.

After completing the course, students received a survey with questions and statements about the course content, delivery and final grading methods. They answered these questions on a seven-point Likert scale and also answered open-ended questions.

It is clear that professional students value the interweaving of theory with real-life training, and they value module-based teaching in which theory is reviewed and applied to practical problems. Reflective learning was achieved through feedback from both teachers and fellow students on various interim reports. Students’ employers benefit from the course, as students gain experience with quality improvement. The grading of a final report on the improvement project based on three sub-assignments was highly appreciated.

Developers in courses in quality improvement benefit from learning how this course is structured, assessed and how participants perceived its components.

The course design with modules and intermediate work steps, where the students apply theory in quality improvement to a real project at their workplace, is an original concept. The modules correspond to the plan, do, check and act (PDCA) methodology.

Total quality management is a valuable approach to continuously improve the quality of organizations; however, scholars debate its applicability to services, which require specific best practices that are different from those related to manufacturing. Moreover, digitization is pervading all kinds of services, but little has been written about total quality service practices in digital-based companies. For this purpose, the authors provide a holistic model of total quality service that reflects the peculiarities of such companies, guided by the question: how do total quality service practices change in digital-based service organizations?

The authors conduct an illustrative case study on Healthware Group, a global integrated digital health organization, to evaluate theoretical assumptions about total quality service practices in the digital environment.

The findings allow to validate the model provided. In addition, the study enables them to observe the changes the authors are witnessing in service provision in the digital era and the consequent transformation of best practices. To be accurate, the authors cannot refer to a full transformation in digital-based companies but rather to the enrichment and extension of TQS practices. The best illustration of these conclusions has been summarized in a set of propositions corresponding to seven of the key levers of a TQS model.

The paper represents the first attempt to discuss the relationship between total quality service and digitalization, offering a set of propositions for academics and insights for practitioners. The model can be used as a tool to visualize the different levers that successful implementation of TQS in digital-based services companies can rely on.