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The purpose of the paper is to explore the performance measures for the green manufacturing practices in the Indian manufacturing industries.

A tentative list of items/variables was developed for green manufacturing performance measures based on a thorough and detailed analysis of the pertinent literature. The survey questionnaire contained 128 items/variables, developed based on the literature and interviews with nine manufacturing industry experts, specifically green manufacturing areas. A total of 400 questionnaires were mailed out, and 114 were returned, of which 108 were valid, representing a response rate of 27 percent. Using the data collected, the identified items/variables were performed via factor analysis to establish reliability and validity.

A total of 12 performance measures of green manufacturing with their 66 items/variables have been developed: top management commitment, knowledge management, employee training, green product and process design, employee empowerment, environmental health and safety, suppliers and materials management, production planning and control, quality, cost, customer environment performance requirement, customer responsiveness and company growth.

This study obtained 108 valid responses from the Indian manufacturing industries; the limitation of the study is the insufficient sampling. Future research needs to be performed using a larger sample and studying more countries.

The performance measures developed in this study enables decision makers to assess the perception of green manufacturing in their organization and in prioritizing GM efforts.

This study is probably the first to provide an integrative perspective of performance measures for green manufacturing practices in the Indian manufacturing industries. It gives valuable information, which hopefully will help this business sector to accomplish green manufacturing practices. This paper fills the gap in the literature on identification, establishment and validation of performance measures of green manufacturing for Indian manufacturing industries.

This paper develops a contingency based model to understand how green technologies and green manufacturing performance measures evolve with the green manufacturing maturity levels of the firms.

A conceptual research model is developed by synthesizing extant literature. An illustrative case study of a paint manufacturing company is conducted, analyzing its five key green initiatives, which it has undertaken to demonstrate the research model. The primary means of data collection was interviews and document analysis.

It was observed that for all the five green initiatives, the choice of green technologies and the use of green manufacturing performance measures corroborate with the proposed research model. Further, the initial green manufacturing effort was motivated to comply with regulations, which subsequently shifted to gain strategic advantage, such as cost reduction and visibility.

The proposed model was applied only to an Indian paint manufacturing company with their five key green initiatives, which potentially limits the generalizability of the findings to other industries and/or geographies.

The findings would aid practitioners in understanding both selection of green technology and the use of green manufacturing performance measures, based on a firm's maturity stage.

This study conducts a much-needed research on the evolution of green technology alternatives and green manufacturing performance measures for firms according to the four-stage maturity model derived from the natural resourced-based view.

The purpose of this paper is to identify and analyze the critical success factors (CSFs) behind the successful implementation of lean-green practices in Indian small- and medium-scale enterprises (SMEs).

The analysis employs two modeling approaches such as interpretive structural modeling (ISM) and interpretive ranking process (IRP) for examining the contextual relationships among the CSFs and ranks them with respect to key lean-green performance areas. A critical review of literature has led to the identification of total 25 CSFs for lean-green implementation. The list is reduced to 18 most relevant CSFs for the context of Indian SMEs based on experts’ (from industry and academia) opinions. The ISM is utilized to develop ten-level hierarchical model of CSFs. In order to gain greater insights into the nature of variables, the matrix of cross-impact multiplications applied to classification (MICMAC) analysis has been conducted.

The results show “Government support” as the most significant to the successful lean-green implementation in Indian SMEs and it is placed at the base of the ISM hierarchy. The CSF “Green disposal initiatives” is identified at the top level of the ISM hierarchy. Further, MICMAC analysis identifies five independent variables, eight linkages variables, four dependent variables and none autonomous variable. This may help SME managers to decide about resource priorities toward successful implementation of lean-green initiatives. Subsequently, the IRP has examined the dominance relationship and identifies “Organizational capabilities” as the most significant CSF.

This research intends to enable practitioners in prioritizing and managing strategic and tactical challenges involved in lean-green implementation in Indian SMEs.

This study makes an initial attempt in analyzing factors critical to successful implementation of integrated lean and green manufacturing practices in Indian manufacturing SMEs using ISM. The analysis is further enhanced by applying IRP to rank the CSFs by investigating the influence lean-green integration on various performance measures.

The purpose of this paper is to present a systematic literature review and its analysis concerning a possible framework, compatibility, drivers and barriers for integrating three manufacturing strategies – Lean, Green and Six Sigma. In particular, analyzing current proposals and identifying the literature gaps in the existing literature from which future research directions and challenges have been suggested for developing a specific integrated framework for the Indian manufacturing industry.

This study explores manufacturing strategic area in depth through literature review, which will point out to the better understanding of the compatibility and impact of these initiatives through the conceptual framework, on the performance of the manufacturing organization.

The review of shortlisted articles indicates that Lean, Green and Six Sigma (LGSS) strategies help the manufacturing organizations to compete in global markets through the impact of a sustainability strategy for their business. Various researchers provide evidence of challenges like cost reduction, quality improvement, on-time delivery, changing needs of the customers and scarce resources that can be overcome through these strategies to achieve overall business objectives.

In this research, only works of literature related to LGSS and sustainability have been studied so information related to linking between these strategies in manufacturing industries is limited.

Help the manufacturing practitioners to deploy three strategies simultaneously in an environment when the linking among LGSS methods in manufacturing industries has not been established. Hence simultaneous deployment of these three strategies helps the organization to boost its operational and environmental performance.

The strategies, LGSS, will be adopted in the operational management to reduce both waste and pollution which will definitely help to society. It will highlight the need for cost effective and easy to implement solutions as well as brand building, which is one of the top incentives for LGSS, highlighting the importance of public perception of how companies operate.

An integrated framework of the LGSS will help the Indian manufacturing industries to improve performance and competitiveness in the global market.

The purpose of this paper is to examine the impact of sustainability training and knowledge on sustainable supply chain practices (SSCP) and the resulting impact on sustainable supply chain outcomes (SSCO) and firm performance. It also provides a valid and reliable measure of SSCO.

Data collected from 129 manufacturing managers are analyzed using a partial least squares structural equation modeling methodology. Manufacturing managers provide data reflecting the degree to which their organizations improved sustainability training and knowledge, utilize SSCP, the degree to which SSCO result, and the subsequent operational performance (OPP) and environmental economic performance (EEP).

Organizational sustainability training and knowledge positively impacts SSCP, and the utilization of SSCP results in SSCO which favorably impact OPP and EEP.

The study is limited to manufacturing organizations.

Practitioners are encouraged to improve organizational learning and training and are provided with a valid and reliable scale for measuring the outcomes of their sustainable practices. Combined with the work of others, this provides a framework for evaluating different aspects of sustainability with a firm.

Improved green manufacturing practices improves the environment by eliminating all forms of waste and provides eco-friendly products and services.

A sustainable supply chain training and knowledge model is proposed and empirically assessed. The results of this investigation support the proposition that sustainability training and knowledge support the implementation of sustainability supply chain practices which, in turn, improve sustainability outcomes and operational and EEP.

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.

This study aims to empirically test a comprehensive green supply chain management (GSCM) practices model. This paper incorporates green intellectual capital (GIC) and green supply chain orientation (GSCO) as antecedents to the successful implementation of GSCM practices and organizational performance as its consequence.

This study has been conducted in the Indian food processing industry. The respondents of this study include 139 plant-level managers working in the food processing industry. The managers were contacted using a combination of personal visits, phone and mail. Structural equation modeling was performed using SPSS AMOS v26 to test the hypothesized model.

The findings of this study reveal that GIC and GSCO positively impact the implementation of GSCM practices. Further, GSCM practices improve economic and operational performance, leading to improved organizational performance.

This study provides implications for managers suggesting that GSCM practices should be implemented in phases. The first phase must reflect the organization's commitment toward building GIC and the second phase must reflect managerial orientation toward implementation for GSCM practices.

This study adds to the existing literature by linking GIC to GSCM practices; second, this study provides a framework for implementation of GSCM practices in the food processing industry.

Competition and globalization in the today’s scenario have posed many pressures on all manufacturing enterprises either it be small or medium scale organizations but at different levels. The purpose of this paper is to comprehend the usage of comparison for rankings between analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) approach and find out best parameters, which is a multi-decision-making method for quantifying the implementation of green manufacturing.

In this investigation, eight aspects, for instance, top management commitment and support, organizational practices, peer government pressure, peer social pressure, customer’s attributes, green supply chain management, government support and adoption of new/ supportive technologies have been identified to examine priority weights by the use of AHP. A comparative methodology is used between AHP and TOPSIS rankings and further identifying the success possibility of green manufacturing using AHP technique.

Green supply chain management, customer’s attributes and organizational practices have been ranked at first three places, respectively, while adoption of new/ supportive technologies, top management commitment and support have been ranked fourth and fifth, respectively, according to AHP and TOPSIS techniques, which declares that results of the study are validated by two different techniques. The important factors discussed in this research can assist the different organizations to concentrate on imperative sections and assigning obligatory resources for assuring successful green manufacturing execution in various small- and medium-scale enterprises (SMEs).

The variables identified for the research are suitable to SMEs.

Environmental pollution has emerged as a major concern in the 21st century following the introduction of sustainable development (SD) by the year 2030, whereby one of the predominant goals is related to the manufacturing industry. In Malaysia, the automotive industry is acknowledged as the backbone driving for economic growth and recognised as a source of environmental deterioration. Therefore, eco-innovation is, thus, introduced as one of the efforts for minimised environmental effects, reduced social impact and firm value sustenance. In particular, eco-product innovation is one of the renowned environmental innovation dimensions and displays high adoption and diffusion rates in developed countries due to green awareness and government financial assistance. However, developing countries such as Malaysia show relatively low adoption of such practices amongst companies, whereby most of the efforts are driven by the governments, supplier and customer demands. Therefore, this paper aims to delineate the factors of voluntary initiatives undertaken by the Malaysian automotive and auto parts industry towards eco-product innovation.

The research drew from the micro-level perspective, thus using dynamic capabilities (DC) constructs and environmental management system (EMS) strategy variables. The constructs included technology collaboration, green human resources and eco-culture, while the variables denoted formal EMS and top management support. Survey data were obtained from 242 entities within the Malaysian automotive and auto parts industry, which were subjected to analysis via confirmatory factor analysis and structural equation modelling.

The findings revealed the moderating role played by eco-product innovation for the association linking EMS strategy and sustainability development, while no moderator effects were observed between DC and sustainability development. Thus, future research can be performed in the meso and macro-level areas by using qualitative research across different sectors.

This paper explicates novel literature content, particularly for the field of eco-product innovation; it positions an empirical analysis from the micro-level perspective regarding the antecedence of DC and environmental strategy towards eco-product innovation and SD, mainly in the automotive industry.

Green or sustainable supply chain management (GSCM/SSCM) has in recent years attracted much attention from academia and practitioners in all part of the world. In recent years, all humanity has experienced severe climate change which is widely attributed to human activity. Harmful emissions have made a major contribution to recent climate change which presents major challenges and threats to the entire human race in form of global warming, earthquakes, hurricanes, tsunami and floods. The purpose of this paper is to propose a conceptual GSCM/SSCM framework contributing to knowledge-based view theory and systems theory (ST) and provide an exhaustive list of further research directions.

In this paper the authors have used a systematic literature review to identify building blocks of the conceptual framework, which is the principal contribution of the present paper.

In this paper the authors have proposed a conceptual framework for sustainable supply chain network and at the end the authors have outlined further research directions.

The current paper is an attempt to develop a conceptual framework which is grounded in knowledge-based theory. The study helps to extent the prior works which lacks theory focused approach.

The present work has immense theoretical value and can be useful to the policy makers or practitioners engaged in GSCM practices.