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The integration of Lean Six Sigma (LSS) and Industry 4.0 (I4.0) is in the nascent stage and promises to achieve new optimums in operational excellence. This study aims to empirically examine the enablers, barriers, benefits and application of I4.0 technologies in LSS and I4.0 integration.

A pilot survey was chosen as an appropriate methodology, as LSS and I4.0 integration is still budding. The survey targeted senior quality management professionals, quality managers, team leaders, LSS Black Belts and operations managers to collect the relevant research data. The questionnaire was sent to 200 respondents and received 53 valid responses.

This study reveals that “top management support” is an essential enabler for LSS and I4.0 integration. The most significant barrier was “poor understanding of data analysis” and “lack of top management support”. The findings further illustrated that LSS and I4.0 integration resulted in greater efficiency, lower operational costs, improved productivity, improved customer satisfaction and improved quality. Regarding I4.0 technology integration at different phases of LSS, the authors noticed that big data analytics and artificial intelligence (AI) are the most prominent technologies used in all phases of LSS implementation.

One of the limitations of this study is the sample size. LSS and I4.0 are emerging concepts; hence, obtaining a larger sample size is difficult. In addition, the study used non-parametric tests to analyse the data. Therefore, future studies should be conducted with large sample sizes across different continents and countries to understand differences in the key findings.

The outcomes of this study can be useful for organisational managers to understand the enablers and barriers before integrating LSS and I4.0 for adoption in their organisations. Secondly, it helps to convince top management and human resource personnel by providing a list of benefits of LSS and I4.0 integration. Finally, it can help decision-makers understand which I4.0 technologies can be used in different stages of LSS methodology.

LSS and I4.0 integration was studied at a conceptual level. This is the first empirical study targeted toward understanding the LSS and I4.0 integration. In addition, this study investigates the application of widely used I4.0 technologies in different phases of LSS.

Design science research (DSR) is a structured approach for solving complex ill-structured problems in organizations through the development of an artefact followed by its validation. This paper aims to evaluate existing DSR methodology and propose specific accents to promote DSR for environmental, social and governance (ESG)-oriented operational excellence (OPEX) initiatives within organizations.

This commentary paper is based on an abductive reasoning approach to evaluate and understand DSR and assess its effectiveness for developing solutions to typical ESG-oriented OPEX-based problems within organizations.

Existing literature on DSR is reviewed, after which it is evaluated on its ability to contribute to the implementation of sustainable solutions for ESG-oriented OPEX-based problems. Based on the review, specific DSR methodological accents are proposed for the development of ESG-oriented OPEX-based solutions in organizations.

This conceptual paper contributes to the conceptual understanding of the applicability, limitations and contextual preconditions for applying DSR. This paper proposes an explicit and, in some ways, alternative view on DSR research for OPEX researchers to apply and further the body of knowledge on matters of sustainability (ESG) in operations management.

Currently, there is limited understanding and application of the DSR methodology for OPEX-based problem-solving initiatives, as appears in the scant literature on DSR applied for the implementation of OPEX based initiatives for ESG purposes. This paper aims to challenge and provide accents for DSR applied to OPEX-related problems by means of a DSR framework and thereby promotes intervention-based studies among researchers.

The proposed step-by-step methodology contains novel elements and is expected to be of help for OPEX-oriented academicians and practitioners in implementing DSR methodology for practical related problems which need research interventions from academics from Higher Education Institutions.

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.

Quality management (QM) plays a pivotal role in driving organisational efforts to enhance operational efficiency and customer satisfaction. This study aims to explore the most important themes in QM over the past three decades, identifying and analysing the top ten key themes that have shaped the field during this period. This study, involving leading academics and industry practitioners, lays the groundwork for a three-to-four-year exploration of the most influential QM themes worldwide.

The authors conducted a comprehensive review of QM literature over the last three decades from top specialist journals on QM. This is followed by conducting a global pilot survey with leading academics and practitioners to pinpoint the top ten dominant themes of QM for organisations to leverage in gaining and maintaining a competitive edge.

The top ten themes of QM, as identified by authors through input from academics and practitioners worldwide, offer valuable insights for companies of all sizes and sectors. These themes serve as a guide for the successful and sustainable implementation of QM practices and continuous improvement strategies.

Despite a limited sample size, the initial findings provide a glimpse into critical themes. Over the next three years, as the study progresses, we anticipate potential changes in the results. Notably, the comparison of themes between manufacturing and services as well as large and small enterprises, remains unexplored in the current investigation.

The authors of this study assert that their research will pave the way for future themes in the digitalization era. Moreover, this research stands out as one of the most exhaustive examinations from both academic and practitioner viewpoints, offering a unique perspective not commonly found in existing literature.

This study aims to fully assess the readiness for Lean Six Sigma (LSS) and Quality Performance Improvement (QPI) in an Italian Public Healthcare ecosystem.

Drawing from previously established survey development and adaptation protocols, a replication study was carried out; Lean, Six Sigma and QPI were extracted and validated through confirmatory factor analysis in an Italian Public Healthcare setting, with a sample of health professionals from the Campania region.

This study reports the adaptation of an existing scale for measuring LSS and QPI in an Italian public healthcare organisation. This analysis extracts six conceptual domains and constitutes an original adaptation of an existing scale to assess the readiness to adopt Lean, Six Sigma and Quality Performance in Italian Public Health Organizations. The constructs show strong levels of internal consistency, as demonstrated by each item factor loading and each subscale reliability.

Managers, policymakers and academics can employ the proposed tool to assess the public healthcare ecosystem’s capability to implement LSS initiatives and strategies to improve quality performance.

This is one of the first studies to assess cross-regional organisational readiness for LSS and QPI in an Italian Public Healthcare environment at this scope and level.

The purpose of this study is to apply bibliometric techniques to critically examine the contributions of Professor (Dr) Jiju Antony in the domain of quality management research over a period close to 30 years (i.e. 1995 to 2023).

The study incorporates a bibliometric analysis approach using VoSviewer software package to critically examine the contributions and trends in publications on Scopus indexed publications of Antony, followed by an industry wide evaluation of contributions made. Thematic analysis of the bibliographic data was imported in comma-separated values (CSV) format by selecting Antony (last name) and Jiju (first name) in the author search tab in Scopus. The search was made on September 09, 2023 and bibliographic records of 429 documents were considered for the analysis. The analysis was carried out in terms of most frequent keywords used, sources with most frequent publications, thematic analysis of most cited works and global collaborations.

Antony has focused his research interest largely in the domain of quality management, publishing his research in top rated journals in the domain with a broad network of international collaborators. Antony has received 18,802 and 40,947 citations in Scopus and Google Scholar, respectively. This signifies the impact that Antony has created through his research publications. His major contributions are on the topics of six sigma, lean six sigma, continuous improvement, critical success factors and quality management practice implementations in various organizations. Diverse methodologies both qualitative and quantitative were utilized to conduct his research. However, his body of work is not without criticism. Such criticism includes the limited scope of work, with narrow focus on ISO 9001 and QMS standards, Total Quality Management (TQM). Critique also highlights the necessity for more depth, following insufficient exploration of distinctions between TQM and operational excellence (OPEX) methodologies like lean, six sigma, kaizen and agile. Antony’s work has yet to consider a diverse range of industry sectors, in terms of implementation of quality management principles, geographical location, the impact of national culture on corporate performance and explore data quality influence on decision-making. Notably, there is clear opportunity to consider the service sector in future research.

To best of the authors’ knowledge, there are few previous studies conducted using bibliometric analysis for analyzing the work of an individual. Therefore, the present study aims to set a trend whereby bibliometric analysis can be used to recognize and critically asses the contributions of other researchers in their respective domains.