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This paper aims to guide about prioritisation and ranking of the solutions and overcoming barriers to facilitate the adoption of Lean Six Sigma (LSS) by using a hybrid framework.

It identifies LSS barriers and solutions to facilitate LSS adoption through literature review and by involving subject experts. The study makes use of fuzzy set theory and proposes a fuzzy analytical hierarchy process (AHP)-modified TOPSIS (technique for order preference by similarity to ideal solution) framework. It uses sensitivity analysis to establish framework robustness.

The key findings of this techno-managerial study are identification and prioritisation of 27 LSS barriers and 22 solutions to overcome adoption challenges, proposition and usage of fuzzy AHP-modified TOPSIS framework, guidance regarding where to focus for facilitating LSS adoption and ensuring robustness using sensitivity analysis, which establishes insignificant deviation in rankings when criteria weights are altered.

Some biasness and subjectivity may exist during pairwise comparisons as human judgements are involved.

Handling a hybrid solution like LSS is never easy. It is expected that the study will help industry professionals to plan their LSS adoption attempts effectively. Guidance regarding LSS barriers will assist in observing necessary precautions to avoid failures. It will open up new research fronts for researchers also.

Literature is full of studies regarding LSS barriers and its rankings. It is very rare to witness a study like ours, which discusses the barriers and links with solutions and its prioritisation. Proposed hybrid framework for a hybrid techno-managerial approach such as LSS is unique and acts as the roadmap for smooth implementation.

To endure against the global rivalry, various organizations are espousing several quality melioration techniques, but most of them flunk to implement them in palmiest way; hence, to surmount the failure of implementation, it is very essential to identify and prioritize the impediments of the technique to be implemented. Lean Six Sigma (LSS) has evolved as one of the most efficacious technique implemented by organizations. The purpose of this paper is to identify and prioritize the barriers of LSS for its productive implementation.

The study initiates from conducting a literature review of peer-reviewed articles concentrating on LSS barriers. The barriers are identified from literature as well as opinion from industry experts. These barriers are categorized underneath the canopy of five major criteria. The final elite barriers are prioritized and stratified by employing the fuzzy analytical hierarchy process approach.

The present study identifies 27 critical barriers that obturate the palmy LSS implementation. Further prioritization of these barriers will help the practitioners to develop the strategies to tackle the barriers.

The LSS barriers are identified through the literature search and opinions from industry experts, while a survey can be conducted in order to incorporate more barriers related to manufacturing concerns.

The main contribution of this paper includes identification of LSS barriers and later prioritizing them to project their intensity in order to make the practitioners comfortable to handle the LSS implementation issues.

The purpose of this paper is to identify Lean Six Sigma enablers (LSSEs) and analyse the interaction among the enablers via a hierarchical model developed by employing interpretive structural modelling (ISM) and determine the driving and dependence power of enablers through fuzzy MICMAC (Matriced’ Impacts Croise´s Multiplication Applique´ea´un Classement) analysis.

An expert group of industry professionals and academicians is consulted at the initial stage as an input for ISM methodology to explore the paired relationship among LSSEs for each parameter of Lean Six Sigma (LSS) implementation. The outcome of ISM is further utilized by fuzzy MICMAC analysis to discover the enablers that are strong drivers and highly dependent. Fuzzy set is included in MICMAC analysis in order to obtain more precise output and effective model.

In total, 20 key enablers are identified through a literature review and expert opinion that emerged as the most significant factors towards LSS implementation. The identified enablers are portrayed into a structural form representing as input and output variables. Later, the driving and the dependence power of each enabler is presented in cluster form.

The paired relationships among LSSEs are obtained through the interpretation made by the experts. The judgments of experts are subjective and may be biased; as difference in expert opinion may influence the final outcome. Conducting a large-scale survey may provide a better catch for interactions of LSSEs.

This study provides strong practical implications for researchers as well as industry practitioners. The industry professionals must deliberately focus on the identified LSSEs more conservatively during LSS implementation and the top management should plan strategically to avoid any implementation failure.

The present study identifies 20 crucial enablers of integrated LSS and presents them in a hierarchical form which will be beneficial for researchers and practitioners. The interactions among the enablers shown in cluster form will help in better execution of LSS.

This study is intended to introduce and summarise Industry 4.0 practices in BRICS nations (the abbreviation “BRICS” is made up of the first letters of the member countries: Brazil, Russia, India, China and South Africa) and determine each nation’s current contribution to Industry 4.0 practice implementation based on past literature. As the BRICS countries continue to play an essential role in the global economy, it is significant to understand Industry 4.0, focussing on these emerging economies.

To assess the present research work on Industry 4.0 practices and research studies in BRICS nations, a systematic literature review (SLR) is performed using the articles available on the SCOPUS database. This study is a descriptive analysis based on the frequency and year of publications, the most influential universities, most influential journals and most influential articles. Similarly, this study consists of category analysis based on multi-criteria decision-making (MCDM) methods, research design used, research method utilised, different data analysis techniques and different Industry 4.0 technologies were used to solve different applications in the BRICS nations.

According to the analysis of past literature, the primary identified practices are centred on operations productivity, waste management, energy reduction and sustainable processes. It also found that despite the abundance of research on Industry 4.0, the major academic journal publications are restricted to a small number of industries and issues in which the manufacturing and automotive industries are front runners. The categorisation of selected papers based on the year of publication demonstrates that the number of publications has been rising. It is also found that China and India, out of the BRICS countries, have contributed significantly to Industry 4.0-related publications by contributing 61 percent of the total articles identified. Similarly, this study identified that qualitative research design is the most adopted framework for research, and empirical triangulation is the least adopted framework in this field. The categorisation of selected articles facilitates the identification of numerous gaps, such as that 67.14% of the literature research is qualitative.

Understanding Industry 4.0 in the BRICS nations helps to identify opportunities for international collaboration and future cooperation possibilities. This study helps to promote collaboration between BRICS countries and other nations, organisations or businesses interested in capitalising on these growing economies' assets and capabilities related to Industry 4.0 technologies. This study helps to provide essential insights into the economic, technological and societal impacts, allowing for effective decision-making and strategic planning for a sustainable and competitive future. So, this contribution links the entire world in terms of the better utilisation of resources, the reduction of downtime, improving product quality, personalised products and the development of human resource capabilities through the application of cutting-edge technologies for nearly half of the world’s population.

In this study, BRICS nations are selected due to their significant impact on the world regarding social, economic and environmental contributions. In the current review, 423 articles published up to August 2022 were selected from the SCOPUS database. The comparison analysis of each BRICS nation in the form of applications of Industry 4.0, the primary area of focus, leading industry working, industry involvement with universities and the area that needs attention are discussed. To the best of our knowledge, this is the most recent SLR and meta-analysis study about Industry 4.0 in BRICS nations, which analysed the past available literature in nine different descriptive and category-wise classifications, considering a total of 423 articles. Based on this SLR, this study makes some important recommendations and future directions that will help achieve social, economic and environmental sustainability in BRICS nations.

The literature of lean six sigma (LSS) is flooded with frameworks. But to date, there has been no attempt to expose the inconsistencies in the existing frameworks and associated research trends. The purpose of this paper is to critically review 26 LSS frameworks and highlight inconsistencies. The study also helps in analysing research trends and constructs of LSS frameworks, and facilitates new applications.

It uses Scopus database and finalises 26 frameworks in the LSS domain considering a timeframe from 2000 to 2017, using a structured literature review approach and involving domain experts. It uses a battery of systematic requirements-based questions to understand trends and covers building blocks/constructs also.

It reveals inconsistencies at three different stages, namely, the framework stage, usage stage capturing existing research trends and construct stage. It also offers details at building block/construct level. Thus, it offers guidance in reducing inconsistencies and possible modifications in the existing frameworks. It not only exposes existing constructs and sub-constructs but also guides about the new upcoming changes in the business influencing the LSS domain. It also educates about the strengths and weaknesses of each framework.

This study tries to reduce inconsistencies, but does not offer new generalised or sector-specific framework.

This study will assist for modification/corrections in the existing frameworks by reducing inconsistencies and will encourage new frameworks to facilitate applications.

This is a unique study which offers frameworks-based review, portrays research trends and guides about constructs of a framework by exposing inconsistencies at each stage. It helps in reducing inconsistencies and offers guidance regarding modifications in the LSS framework considering upcoming challenges.

The purpose of this study is to determine the current status of Sustainable Lean Six Sigma (SLSS) practices execution in the industries by identifying the research gaps and also methodologies that are applied by different researchers and practitioners.

To find the current status of SLSS practices all over world, the literature review of the articles available through SCOPUS data base is given in different categories such as a country-wise and year-wise publication of the articles, journal-wise publication of articles, case study implementation focus in industry and data analysis techniques used by the researchers.

The different methodologies applied by the researchers and practitioners have been explained and the gaps for further research are identified. The extensive review of articles of last 18 years revealed that there are various opportunities such as quantitative study, framework modeling on the SLSS, and implementation of developed models in different industries, etc. which are required to be explored.

In the present study, a review of 129 articles for the time span of January 2000 to February 2018 is considered. The SCOPUS database was used for selecting the articles for review. A total of 129 articles were considered for the literature review, and the case study implementation in different industries with the focused areas such as cost reduction, defect reduction, economic, environmental and social aspects was explained.

Literature reviews in the field of Lean Six Sigma (LSS) are often substantially less stringently portrayed than other empirical research. The purpose of this paper is to lucubrate on clarifying emerging aspects, trends and importance of LSS through reviewing the published literature over multiple parameters for a ameliorating and trenchant view.

In the present study, a literature review of LSS articles is carried out over the time horizon of 14 years from referred peer-reviewed journals in business and management disciplines, information systems and computer science, engineering, healthcare, etc. While carrying out the literature review, various distinct dimensions are considered, such as publication years and journals, countries, research design, research type and application sector within industries. A descriptive evaluation of the literature body is followed by gap identification and future research opportunities.

LSS research is growing rapidly, covering various disciplines and domains with a great focus on LSS tools and techniques; empirical research is dominant with more emphasis on case study approach; and growing gap between manufacturing- and service-focused articles implies return of LSS to manufacturing as its initial base.

The review analysis entirely focuses on descriptive statistics of empirical research in LSS. The sample size includes 189 shortlisted articles in 58 journals published over a time span of 14 years (2001-2014). The paper provides both academicians and practitioners a better panorama to understand the present status of LSS for pursuing rigorous LSS research through explicating chronological emergence, challenging themes, dominating research types and application areas in LSS.

International Journal of Lean Six Sigma (IJLSS) has completed a decade. To celebrate the same, this study aims to review the articles published in IJLSS from its inception to the year 2020. The journal’s trends and professional impact over the years are investigated and potential future research directions are proposed.

A bibliometric analysis comprising of citation, co-citation and keyword co-occurrence methods is used on all the articles published in IJLSS till the year 2020. Content analysis is further done to analyse the type of research, type of industry studied and the articles’ target audience.

The journal has improved its reputation, productivity and impact over the years. Currently, studies published in IJLSS have been cited more than 5,000 times, with the most prominent themes being Six Sigma, Lean Six Sigma (LSS) and Lean in manufacturing and services. Researchers from India, the USA and the UK have contributed a significant number of publications. Most of the work published is case-based. There is a need for more empirical or survey-based research having high generalizability. Future studies should also focus on integrating LSS with emerging topics such as sustainability, Industry 4.0 and the like.

The study provides evidence of the impact of IJLSS and highlights the trend in the domain of LSS. It can be of use for the editorial board members to identify potential areas to focus on in the future. Researchers can use it to further their research by working on the research gaps identified.

This paper is the first to trace the progress of IJLSS from its inception till the year 2020.

The demand for construction-related occupations has increased consistently over many years in New Zealand (NZ). This has necessitated recourse to migrant workers to address capacity and capability requirements. Migrant construction workers hail from various backgrounds with a complex set of their needs being met through employment in NZ. Research on understanding the satisfaction levels of this category of construction workers is scarce. With recent insinuations about migrant exploitations, research investigations into this knowledge area are significant. In this study, the authors sought to establish the moderating effect of migrants' demography on the determinants of job satisfaction in NZ's construction sector.

Data were obtained from migrant construction workers of Chinese extraction through a structured questionnaire survey. From 200 questionnaires administered, 108 samples were completed by migrant construction workers involved in major projects in Auckland city, NZ. Data obtained were analysed using descriptive and inferential statistics to establish the moderating effects of their demography on job satisfaction.

Results from this study support the internal validity and reliability of these personal characteristics as moderators of job satisfaction for migrant construction workers. These results suggest the relevance of personal characteristics of Chinese migrants in any improvement initiatives being developed for this group of construction workers.

The findings from this study contribute to the discourse on the relevance of construction migrants as a strategic alternative to addressing skill shortages within the NZ construction sector. They also provide evidence that contributes to an improved understanding of the migrant workforce to meet their aspirations and enhance their general well-being.

Although the study is ethnic-specific, the conclusions show the relevance of personal characteristics in the experiences of construction migrant workers. The study is representative of the catchment of temporary migrant workers in the construction industry in NZ. The study provides insights for organisations employing migrants about putting in place appropriate measures to enhance their satisfaction levels. Finally, this study's findings may contribute to policy initiatives on the optimal categories of migrants engaged on construction activities to derive the maximum benefits for NZ.