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The study aims to identify Green Lean Six Sigma (GLSS) barriers in the context of Higher Education Institutions (HEIs) and prioritize them for executing the GLSS approach.

A systematic literature review (SLR) was used to identify a total of 14 barriers, which were then verified for greater relevance by the professional judgments of industrial personnel. Moreover, many removal measures strategies are also recommended in this study. Furthermore, this work also utilizes Gray Relational Analysis (GRA) to prioritize the identified GLSS barriers.

The study reveals that training and education, continuous assessment of SDG, organizational culture, resources and skills to facilitate implementation, and assessment of satisfaction and welfare of the employee are the most significant barriers to implementing this approach.

The present study provides an impetus for practitioners and managers to embrace the GLSS strategy through a wide-ranging understanding and exploring these barriers. In this case, the outcomes of this research, and in particular the GRA technique presented by this work, can be used by managers and professionals to rank the GLSS barriers and take appropriate action to eliminate them.

The ranking of GLSS barriers gives top officials of HEIs a very clear view to effectively and efficiently implementing GLSS initiatives. The outcomes also show training and education, sustainable development goals and organizational culture as critical barriers. The findings of this study provide an impetus for managers, policymakers and consultants to embrace the GLSS strategy through a wide-ranging understanding and exploring these barriers.

The GLSS barriers in HEIs may significantly affect the society. HEIs can lessen their environmental effect by using GLSS practices, which can support sustainability initiatives and foster social responsibility. Taking steps to reduce environmental effect can benefit society as a whole. GLSS techniques in HEIs can also result in increased operational effectiveness and cost savings, which can free up resources to be employed in other areas, like boosting student services and improving educational programs. However, failing to implement GLSS procedures in HEIs could have societal repercussions as well. As a result, it is critical for HEIs to identify and remove GLSS barriers in order to advance sustainability, social responsibility and operational effectiveness.

GLSS is a comprehensive methodology that facilitates the optimum utilization of resources, reduces waste and provides the pathway for sustainable development so, the novelty of this study stands in the inclusion of its barriers and HEIs to prioritize them for effective implementation.

The main purpose of this study is to explore different aspects of the Green Lean Six Sigma (GLSS) approach, application status and potential benefits from a comprehensive review of the literature and provide an avenue for future research work. This study also provides a conceptual framework for GLSS.

To do a systematic analysis of the literature, a systematic literature review methodology has been used in this research work. From the reputed databases, 140 articles were identified to explore hidden aspects of GLSS. Exploration of articles in different continents, year-wise, approach-wise and journal-wise was also done to find the execution status of GLSS.

This study depicts that GLSS implementation is increasing year by year, and it leads to considerable improvement in all dimensions of sustainability. Enablers, barriers, tools and potential benefits that foster the execution of GLSS in industrial organizations are also identified based on a systematic review of the literature.

The study’s uniqueness lies in that, to the best of the authors’ knowledge, this study is the first of its kind that depicts the execution status of GLSS, and its different facets, explores different available frameworks and provides avenues for potential research in this area for potential researchers and practitioners.

The purpose of this study is to integrate Green technology, Lean and Six Sigma methodology under the umbrella of Green Lean Six Sigma (GLSS). Further, the study also proposes an eight facet GLSS framework for small and medium enterprises (SMEs) to enhance organizational sustainability.

In this study, GLSS integration has been proposed based on intangible features like barriers, challenges, toolsets, etc. Moreover, the GLSS framework has been realized based on Six Sigma well-known define, measure, analyze, improve and control (DMAIC) approach.

It has been found that lack of customer involvement, financial constraints and ignorance towards Kaizen are the most pre-eminent barriers for GLSS execution. Further, it has been found that most frequently used GLSS tools are the 5S, environmental value stream mapping (EVSM) and life cycle assessment (LCA). The proposed GLSS framework encompasses systematic application of different GLSS tools that lead improved organization sustainability.

The present study will facilitate industrial managers to incorporate the GLSS approach in their business process through systematic understanding of key elements related to this sustainable approach. This study further prompts practitioner to incorporate GLSS in industry through systematic adoption of the proposed framework for improved environmental performance.

This work provides detailed knowledge for the researchers and academicians by dispensing awareness into integral measures and framework. GLSS toolsets dispensed in this work augments academicians and researchers to make decision which tools to be used at distinct phases of GLSS project execution.

The present study is the first of its kind that provides integral measures and GLSS framework for SMEs.

There is a concern in literature about the critical elements of lean enterprise (LE) that can be represented as pillars of lean enterprise excellence. However, existing frameworks proposed on LE excellence are very few. The purpose of this paper is to develop a relationship model among the pillars of a proposed framework of LE excellence in Indian manufacturing industry by Jasti et al. (2020) with the help of interpretive structural modelling (ISM) and structural equation modelling (SEM).

The ISM is constructed on two exemplary cases of lean operations from two Indian manufacturing organisations. These cases were selected based on the implementation of lean practices in respective organisations. The two manufacturing organisations which implemented lean practices at different levels were selected as contenders for constructing ISM. The relationships among pillars and constructs of LE framework are obtained from ISM, and later subjected to statistical testing for model fit by using SEM. The input to SEM was the respondent's data collected in a previous study.

The outcome of the present study revealed that the successful implementation of LE framework requires an appropriate strategy along with top management commitment to get a complete benefits of LE. The study has proposed a strategy to implement the proposed LE framework in Indian manufacturing industry. This study has revealed that ISM developed based on the focal company that implemented lean practices effectively is statistically fit for LE framework.

The study has established paired relationships among lean pillars for an effective implementation of LE framework. The investigation was started by collecting opinions of experts to perform the appropriate interpretations subsequently. However, the expert judgements can be qualitative in nature and prone to bias and impact the final outcome. To overcome these a large-scale empirical survey is suggested to provide a better catch for interactions in LEs.

This study helps in providing concrete practical implications to both academic researchers as well as industry professionals. The practitioners normally focus on finding readymade strategies for implementing LE in the organizations. The comprehensiveness of the present work helps the practitioners in implementing LE strategy with ease. The study revealed that management commitment and leadership is driving force but needs strategic implementation methodology for successful implementation.

Manufacturing industries across the world have been struggling to understand and implement LE strategy effectively. Most of the governments across the world are supporting and motivating various industry practitioners to implement LE strategy by providing financial assistance for conducting training programmes. However, many organizations across the world were not able to implement LE strategy successfully. The present study provides a strategy to implement LE framework effectively in an organization.

The study offers a unique approach for analysing the underlying relationships among pillars of LE for effective management. Researchers can use the results of this study for developing frameworks in various domains of LE.

Industrialisation has contributed to global environmental problems, especially in developed countries, but increasingly so in developing ones as well. The rising public concern for the natural environment is compelling business entities to revise their business models towards green lean (GL) management. Most manufacturing firms have realised that GL implementation is a critical factor that drives their success. Therefore, keeping in view the above said aspects, the purpose of this paper is to empirically assess the complementary impact of GL practices on environmental performance.

Data from a sample of 124 Indian manufacturing industries are analysed using a structural equation modelling technique.

Evidence suggests that GL practices such as top management commitment, government support, human resource management, health and safety of employees and public pressure and legislature have significantly positive effect on environmental performance of manufacturing industries.

The sample is limited to Indian manufacturing industries situated in northern region, with a low response rate.

Successful implementations of GL practices can lead to improved environmental performance. Manufacturing industries within emerging economies like India can improve on their GL practices by incorporating these findings into their business models, while research could be guided to focus their inquiries on this and related genres of scholarly work.

To the best of the authors’ knowledge, this study is one of the first to empirically assess the complementary impact of GL practices on environmental performance within the Indian context.