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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.

Process improvement initiatives, such as Lean, Six Sigma and Lean Six Sigma, typically have common characteristics that are carried through projects. Whilst a project’s performance is an important determinant of the successful implementation of continuous improvement (CI) initiatives, its failure can undermine the impact of any CI initiative on business performance. As a result, an understanding of the reasons of process improvement project failures is crucial. The purpose of this paper is to present the results of a pilot survey highlighting the most common reasons for process improvement project failures.

This paper presents a pilot survey of 42 Brazilian manufacturing specialists who have been involved in process improvement projects. The participants of this survey were Six Sigma Master Black Belts, Black Belts, Green Belts and Six Sigma champions from manufacturing companies in Brazil. The survey questionnaire was piloted with five experts in the field in order to ensure that the questions were valid and technically sound.

The execution of Six Sigma projects in organizations results in a moderate rate of project failures. These failures can cost organizations several millions of dollars especially within the context of larger organizations. The main reasons for project failure, as cited by the specialists include: resistance to change, lack of commitment and support from top management and incompetent teams.

The authors report the findings from a pilot survey having a limited sample size. Moreover, the data have been collected from one country and primarily from large manufacturing companies.

To the best of the authors’ knowledge, this is the first empirical study looking into the reasons for process improvement project failures. The authors argue that if the top reasons for such failures are understood, a framework can be developed in the future that can mitigate the chance of project failures during project execution. This could potentially lead to significant savings to the bottom-line of many organizations.

The purpose of the article is to present the results of a critical literature review (CLR) on Design of experiments (DoE) in the service industry.

A critical review of existing literature review across various databases including Scopus, Web of Science, Google Scholar and Emerald Insight were searched for the identification of relevant papers. The authors searched relevant journal articles for a time period of 25 years (1994–2019).

A total of 29 industry case studies of DoE applications were identified spanning healthcare, retail, logistics, education, marketing, after sales and catering business. The industrial experimentation strategies adopted by the case study organisations were screening, factorial designs, Taguchi, response surface method and split-plot. It was apparent that there are only a handful number of papers showing the applications of DoE across the service sector and this motivates for pursuing further research into this topic by the authors.

The findings of the study can be very useful for middle and senior managers to understand the benefits of implementing this powerful technique for increased understanding of service processes, as well as for optimising service performance. Moreover, the paper presents some of the fundamental challenges, as well as skills needed for the successful application of DoE.

To the best of our knowledge, this is the first CLR on DoE and its applications in the service sector. The findings of the study can be beneficial to both academic and industrial communities to understand some of the challenges and fundamental gaps which need to be tackled in the future.

The main purpose of this study is to revisit Dr. Ishikawa's statement: “95% of problems in processes can be accomplished using the seven quality control (QC) tools” from his book “What is Quality Control?”. The authors are interested in critically investigating if this statement is still valid nowadays. It involves the analysis of the usage of the seven QC tools in the manufacturing and service sectors and the benefits, challenges and critical success factors (CSFs) for the application of the seven QC tools.

In order to evaluate Kaoru Ishikawa's statement and how valid his statement is for manufacturing and service industries nowadays, an online survey instrument was developed, and data collection was performed utilising a stratified random sampling strategy. The main strata/clusters were formed by senior quality professionals working in operational excellence, quality consultants, quality directors, quality engineers, quality managers and quality supervisors working in both manufacturing and service sectors from South American companies. A total of 97 participants from different countries in South America responded to the survey.

The main finding of this study is that only about 20% of respondents felt that the original seven basic tools of QC can solve above 80% of quality related problems in their businesses. This is quite different from the findings reported by Dr Ishikawa in his work in between 1970 and 1980s. Another relevant finding presented in this paper is that Pareto analysis, histograms and cause and effect analysis are the most used tools in both manufacturing and service sectors. This paper also revealed that the seven QC tools proposed by Dr. Ishikawa were least used by human resources (HR), information technology (IT) and finance functions. This work presents a list of critical success factors required for the proper application of the seven QC tools.

All data collected in the pilot survey came from professionals working for South American companies. So, this paper does present limitations in terms of generalisation of the results. Also, data were collected at an individual level, so parameters such as the inter reliability of judgements on a particular survey item could not be evaluated. It is important to highlight that n = 97 is a low sample size, enough for a preliminary survey but reinforcing the limitation in terms of generalisation of the results.

Authors understand that this is the very first research focused on challenging Dr. Ishikawa's statement: “95% of problems in processes can be accomplished using the seven quality control (QC) tools” from his book “What is Quality Control?”. The results of this study represent an important first step towards a full understanding of the applicability of these tools in manufacturing and service industries in a global scale.

The term Lean Startup (LS) was coined by Eric Ries, and his 2011 book has popularized the concept with organizations, both startups and established organizations, implementing LS. However the empirical grounding is thin and for a long time this subject has been neglected by academia. The purpose of this paper is to present a systematic literature review (SLR) on LS, while highlighting core knowledge and identify gaps.

A SLR was carried out based on the Preferred Reporting for Systematic Reviews and Meta-Analyses (PRISMA) protocol of Scopus and Web of Science databases. In total, 45 articles published in journals and conferences over 10 years were collected which revealed a number of LS research gaps.

The SLR revealed the tools and methods associated with LS, most cited pros and cons, reasons that cause LS failure, the challenges that companies face in the implementation of LS, and critical success factors (CSFs) that can support these challenges and minimize the reasons for failure.

The findings of the study can be beneficial to practitioners and senior managers in organizations who wish to delve into the journey of LS. The study also discloses challenges and barriers that can hinder the implementation of LS.

Academic publications regarding LS are sparse and this SLR is one of the first SLRs to explore both the critical failure factors (CFFs) and the CSFs based on peer-reviewed journal and conference proceedings.

The purpose of this study is to critically evaluate the current status of Design of experiments (DoE) in the service industry or non-manufacturing processes in the manufacturing sector. This involves the identification of critical success factors and challenges in the use of DoE in the context of the service industry as well as the key skills needed for its successful applications.

In order to identify the critical success factors and challenges, an online survey instrument was developed and distributed across Six Sigma Black Belts (SSBB), Six Sigma Master Black Belts (SSMBB), process improvement champions, continuous improvement professionals, DoE experts and specialists as well as academics who are involved in DoE research and applications.

A total of 109 participants from over 20 countries responded to the study. One of the first findings of the study is that over 40% of the process improvement professionals in the service sector do not have any hands-on experience with the application of DoE. Further, this study highlights the following critical factors for successful DoE applications: dedicating adequate resources in terms of time, budget and people for the experiment; getting a clear understanding of the problem at hand; securing a reliable and validated measurement system for measuring the response or quality characteristics of interest; and identifying input independent variables, which influence the quality characteristics during the brainstorming stage. Some respondents also mention the importance of having training or education in DoE as a critical success factor. At the same time, the lack of adequate planning to experimentation, mathematical knowledge and statistical reasoning remains as challenge to be solved.

As data were collected at an individual level, inter-reliability, which measures the consistency of judgements on a particular survey item, could not be gauged. Moreover, due to low sample size across some continents, an intercontinental comparative study on the extent of the application of DoE across various continents could not be performed.

To the best of the authors’ knowledge, this is the first global survey carried out to understand the status of DoE in the service industry. The results of the global study can be used to encourage quality, continuous improvement and process improvement professionals in the service sector to drive wider acceptance of one of the most powerful tools in the Six Sigma toolkit for problem-solving scenarios. Moreover, senior managers in the service industry can take away some of the key benefits, challenges and success factors in the implementation of DoE.

This paper aims to present the results of a study carried out by the authors in the form of research interviews on the topic: “Exploring the use of operational excellence methodologies in the era of COVID-19.”

A qualitative interview approach was utilized by interviewing a panel of leading academics and practitioners who are familiar with operation excellence methodologies.

Operational excellence methodologies are proven and can be utilized in pandemic situations to improve efficiency in the healthcare system and preparedness for pandemics.

One limitation of this research was that most of the interviewees who participated in this study came from Europe, North America, South America and Asia, representing four continents. It would have been better to have different views from other continents such as Australia and Africa. Also, the interviews were short and at a high level. There is an opportunity for further study and analysis.

Operational excellence methodologies are proven and can be utilized in pandemic situations to improve efficiency in the healthcare system and preparedness for pandemics.

The paper provides an excellent resource for those people to get an insight into the value of the application of operations excellence methodologies in pandemic situations to aid healthcare process improvement and aid public and patient safety.

The purpose of this paper is to provide a framework for radio frequency identification (RFID) technology adoption considering company size and five dimensions of analysis: RFID applications, expected benefits business drivers or motivations barriers and inhibitors, and organizational factors.

A framework for RFID adoption derived from literature and the practical experience on the subject is developed. This framework provides a conceptual basis for analyzing a survey conducted with 114 companies in Brazil.

Many companies have been developing RFID initiatives in order to identify potential applications and map benefits associated with their implementation. The survey highlights the importance business drivers in the RFID implementation stage, and that companies implement RFID focusing on a few specific applications. However, there is a weak association between expected benefits and business challenges with the current level of RFID technology adoption in Brazil.

The paper is not exhaustive, since RFID adoption in Brazil is at early stages during the survey timeline.

The main contribution of the paper is that it yields a framework for analyzing RFID technology adoption. The authors use this framework to analyze RFID adoption in Brazil, which proved to be a useful one for identifying key issues for technology adoption. The paper is useful to any researchers or practitioners who are focused on technology adoption, in particular, RFID technology.

The purpose of this study is to analyze research output in the naturopathy field at the global level and to examine the various trends in scientific literature available on naturopathy using bibliometric analysis.

The data was collected from the SciVerse Scopus database published from 2000 through 2019. The search was conducted using Medical Subject headings entry terms, i.e. “Naturopathy” OR “Naturopathic Medicine” using the “Document” search option. The search results comprised of documents that had these above search terms in their article title, abstract and keywords. The retrieved documents were then analyzed concerning different parameters like the growth of publications, authorship patterns, productive countries and institutions, highly cited papers, top prolific authors, funding agencies and document types.

The results of this study reveal that a total of 1,099 documents were published during 20-year time span. The most preferred publication type is research articles 683 (62.14%). Germany, USA, Australia, India and Canada were the most productive countries in terms of the number of scientific documents. The findings also show that the most preferred journal in the field of naturopathy is MMW Fortschritte der Medizin, with 115 documents followed by Journal of Alternative and Complementary Medicine with 58 documents. In contrast, the journal BMC Complementary and Alternative Medicine had the highest citations per paper (17.85). For the 20-year study period, the average value for the degree of collaboration was calculated as 0.57, indicating 54% of the total publications in naturopathy were multi-authored. The value of the collaboration coefficient (CC) signifies the levels of multi-authored papers. CC was highest in the year 2019 (0.55) indicating that the publications were contributed in collaboration rather than in isolation and the number of multi-authored/mega-authored papers outnumbered the single authors in the collection of all authors in the year 2019. Bastyr University, USA was the most productive Institution. Journal articles were the most preferred form of publication.

This study traces various trends in the research behavior and preferences of researchers in the field of naturopathy. It thus can be of immense help to identify strong areas in naturopathy research. Further, this study will help the librarians to identify the core/preferred journals in naturopathy. 

This paper makes an endeavor to carry an extensive bibliometric study that provides an overview of emerging trends in naturopathy research.