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This paper aims to identify the impacts of wire and arc additive manufacturing (WAAM) technology on the green supply chain management (GSCM) performance. Also, it intends to identify the most essential WAAM capabilities.

An exploratory case study related to a metallurgical company using WAAM technology to repair metallic components was developed. A research framework to identify WAAM production capabilities and the different GSCM performance criteria was proposed based on the current state of the art. Primary qualitative data provided evidence for developing seven propositions relating WAAM capabilities to GSCM performance.

The paper provides empirical evidence relating to how WAAM production capabilities impact the different performance criteria of the GSCM performance. The results show that “relative advantage” and “supply-side benefits” are critical capabilities developed through WAAM. Furthermore, most of the capabilities regarding “relative advantage” and “supply-side benefits” promote a higher GSCM performance.

This research was carried out using a single case study research design and using qualitative data. Thus, future works are encouraged to test the propositions empirically using quantitative methodologies.

The case study findings support that most WAAM production capabilities promote a higher GSCM performance. Managers could use this research to understand the capabilities developed by this fusion-based additive manufacturing (AM), become aware of the implications of new technology adoption on the supply chain environmental externalities, and develop new business models based on the WAAM capabilities.

This research contributes to expanding the state-of-the art related to WAAM technology by evidencing the relationship between adopting this fusion-based AM technology and green supply chain practices. Also, it provides a set of seven propositions that could be used to theorise the impacts of WAAM adoption on the GSCM performance.

The purpose of this paper is to apply self-determination theory (SDT) to green supply chain management (GSCM) and explore how green supplier selection (GSS) drives GSCM performance and how realisation of improved GSCM performance is contingent upon SDT mechanisms of autonomy, competence and relatedness.

This study draws on 18 semi-structured interviews and secondary data from a Germany-based first-tier aircraft interior manufacturer and its six key suppliers. The focal company was selected because it is recognised as having achieved high GSCM standards in the aerospace industry.

The study draws out the importance of GSS, distinguishing between new and legacy suppliers, and offers significant insights into how suppliers’ motivation and downstream GSCM criteria can be internalised in second-tier suppliers to drive GSCM performance.

GSS should be considered not only for new suppliers but also at an ongoing basis for legacy suppliers. Focal companies must realise the importance of motivating supply chain partners to realise GSCM practices and need to first build-up autonomy before focussing on competence and relatedness sub-dimensions.

The authors make a significant contribution to the GSCM literature by conducting a study of first-tier-second-tier relationships, thus moving beyond the buyer-supplier relationships investigated in extant studies. The results theoretically and empirically draw out key factors in GSS and supplier motivation in engaging with GSCM practices, thus driving GSCM performance.

Supplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green supply chain management (GSCM), it is somewhat surprising that very little research attention has been imparted to the development of a strategic sourcing model for GSCM. This research aims to develop a strategic sourcing framework in which supplier organizations are prioritized and ranked based on their GSCM performance. Accordingly, the benchmark organization is identified and its strategy is explored for GSCM performance improvement.

The research develops an innovative GSCM performance evaluation framework using six parameters, namely, investment in corporate social responsibility, investment in research and development, utilization of renewable energy, total energy consumption, total carbon-di-oxide emissions and total waste generation. An integrated multicriteria decision-making (MCDM) approach is proposed in which the entropy method calculates criteria weights. The Complex Proportional Assessment (COPRAS) and the Grey relational analysis (GRA) methods are used to rank supplier organizations based on their performance scores. A real-world case of green supplier selection (GSS) is considered in which five leading India-based automobile manufacturing organizations (Supplier 1, Supplier 2, Supplier 3, Supplier 4 and Supplier 5) are selected. Surveys with industry experts at the strategic, tactical, and operational levels are carried out to collect relevant data.

The results reveal that total carbon dioxide emission is the most influential parameter, as it gains the highest weight. On the contrary, investment in research and development, and total waste generation have no significant impact on GSCM performance. Results show that Supplier 5 secures the top rank. Hence, it is the benchmark organization.

The proposed methodology offers an easy and comprehensive approach to sourcing decisions in the field of GSCM. The entropy weight-based COPRAS and GRA methods offer an error-free channel of decision-making and can be proficiently used to outrank various industrial sectors based on their GSCM performances. This research is specific to the automobile manufacturing supply chain. Therefore, research outcomes may vary across supply chains with distinct characteristics.

The basic propositions of this research are based on a real-world case. Hence, the research findings are practically feasible. The less significant parameters identified in this study would enable managers to impart more attention to vulnerable areas for improvement. This research may help policymakers identify the influential parameters for effective GSCM implementation. As this research considers all aspects of sustainability, the strategies of the benchmark supplier have a direct impact on organizations' overall sustainability. The study would enable practitioners to make various strategies for GSCM performance improvement and to develop a cleaner production system.

The originality of this research lies in the consideration of both economic, social, environmental and operational aspects of sustainability for assessing the GSCM performance of supplier organizations. Quantitative criteria are considered so that vagueness can be removed from the decision. The use of an integrated grey-based approach for developing a strategic sourcing model is another unique feature of this study.

This research aims to explore the various green supply chain management (GSCM) performance measures and develop the efficient performance measurement framework for evaluation of influence of GSCM adoption on organizational performance.

This research proposes a hybrid framework of Pythagorean fuzzy analytic hierarchy process and Pythagorean fuzzy weighted aggregated sum product assessment technique. The usefulness of proposed framework is validated using empirical case example of Indian manufacturing organization.

The finding reveals that the overall performance of case organization is 67.03% based on define set of performance measures. Further, the proposed framework has been validated with other three Indian automobile manufacturing organizations. The results obtained were confirmed with selected empirical case company. The proposed hybrid framework provides the effective path to measure and benchmark the impact of each performance measures on system performance.

This research is limited to automobile sector of India; hence the results obtained in this study may not be comprehensibly used to other sectors due to different product and process fields.

This research aids the industrial practitioners to effectively implement the green supply chain management (GSCM) and helps them to boost the overall performance of business organizations in three dimensions of sustainability.

The purpose of this paper is to explore green supply chain management (GSCM) performance measures and to develop a framework for evaluating the impact of GSCM implementation on organizational performance.

This research develops a performance measurement framework by integrating GSCM enabler with GSCM performance measures criteria. These criteria are selected from literature review and expert opinion. This study proposes a fuzzy balanced scorecard – fuzzy technique for order preference by similarity to ideal solution-based methodology to evaluate the overall organizational performance. The empirical case study of an Indian automobile organization is conducted. Further, the proposed framework is tested with three Indian Automobile organizations and their results are compared with the case organization.

The integrated methodology offers an effective way to measure and benchmark the impact of the proposed GSCM performance measurement framework. The empirical results show that the output of the proposed model is consistent. Thus, the study contributes to the advancement of knowledge toward GSCM and its management for sustainability.

This study is limited to the automotive sector; hence the outcomes may not be comprehensively applicable across different sectors. The results cannot be applied to other sectors with other product and process specificities.

It helps the practitioners to measure and improve the effectiveness of GSCM implementation.

This study is the generalized performance measurement framework and can be used to measure the performance for any type of organizations to benchmark one organization with the other or the group of organizations.

Performance assessment of green supply chain management (GSCM) requires a systematic approach because of its interdisciplinary and multi-objective nature. The purpose of this paper is to propose a model to the performance assessment of GSCM.

A model is proposed, grounded on a literature review on GSCM performance, after which the causal relationships and prioritization of the sub-criteria are analyzed by fuzzy Decision Making Trial and Evaluation Laboratory technique in a company operating in the cement industry.

An integrated holistic performance assessment model incorporating specifically six criteria and 21 sub-criteria is applied, which represents causal relationships and prioritization of sub-criteria.

The proposed model can be generalized, because an integrative framework can be used in future empirical studies to analyze performance of GSCM. However, the causal relationships and prioritization among sub-criteria are analyzed based on the needs and capabilities of the individual company; therefore, the causal relationships found are company specific.

The proposed model can be hired and implemented by companies striving for GSCM. This model allows companies to assess their current GSCM performance, analyze causal relationships, and prioritize sub-criteria.

Several studies have analyzed performance assessment in green supply chains; however, to the best of the authors’ knowledge, no study has taken an approach to performance assessment in GSCM that combines environmental, economics/financial, logistics, operational, organizational and marketing in the same framework. In addition, the cause-effect relationships identified will be the base for performance improvement.

The purpose of this paper is to identify and analyze the impact of green supply chain management (GSCM) pressures, implementation level of GSCM practices and improvement in performance of the Indian ceramic enterprises. The paper also aims at benchmarking the Indian ceramic enterprises based on enterprise size and market orientation (export activity).

The research is based on the empirical study of Indian ceramic industry. Propositions are developed to study: the impact of GSCM pressures, implementation level of GSCM practices, improvement in GSCM performance, and the effect of GSCM pressures on implementation of practices, and impact of GSCM practices on GSCM performance. Data are collected from Indian ceramic enterprises of different sizes. Exploratory factor analysis is performed to segregate the pressures, practices and performance variables into constructs. Two-step algorithm, with log-likelihood measures of distance and Bayesian information criterion, is used to decide the optimal number of clusters. These clusters are compared and benchmarked according to the enterprise size and export activity.

This study finds that the implementation level of GSCM practices is higher in large- and medium-size enterprises as compared to small-size enterprises. Large- and medium-size enterprises have high impact of mimetic and informative pressures and small enterprises have high impact of coercive pressure (CP). Although the CP is high on small enterprises but due to the limited resources, these enterprises cannot afford to implement GSCM practices. The implementation of GSCM practices results into the improvement of environmental and operational performance but decrease in economic performance.

The findings of this study will suggest the policy maker to encourage the diffusion mechanism through a collaborative partnership with larger enterprises to enhance the implementation level of GSCM practices in small-size enterprises.

The novelty of the paper are: it analyzes and benchmarks GSCM pressures, practice and performance for Indian ceramic enterprises by considering enterprises size and export activities as control variables, and it finds the effect of GSCM pressures on the implementation level of GSCM practices and improvement in enterprise performance for Indian ceramic enterprises.

The main objective of this paper is to integrate a typology of green supply chain management (GSCM) practices, performances, pressures and barriers with organizational performance theories. Also the aim of this paper is to investigate the present statues of GSCM amongst Indian manufacturer.

Through a systematic review, the study identified 27 GSCM practices, 16 GSCM performances, 06 GSCM pressures and 15 GSCM barriers that were organized into categories according to their theoretical conception, organizational context and characteristics. The survey and interview methods are used for data collection and analyzed by five-point Likert scale.

The main finding of this paper is ranking of identified GSCM practices, performances, pressures and barriers. The study identified three organizational context dimensions (innovation, performance and management) and investigated the present status of GSCM. The main contribution of the study is the alignment of each category of GSCM practices, performances, pressures and barriers and organizational dimension with the selected theoretical lenses that can help future investigations to deepen the analysis of GSCM. Besides the theoretical contributions, the authors believe this contribution can also achieve practitioners.

The authors provide a comprehensive typology of GSCM practices, performances, pressures and barriers based on empirical evidence and conceptual arguments.

The majority of the environmental impacts in a typical supply chain can arise beyond the focal firm boundaries. However, no standardised method to quantify these impacts at the supply chain level currently exists. The purpose of this paper is to identify the quantitative methods developed to measure the environmental performance of supply chains and evaluate their key features.

A systematic literature review is conducted at the intersection of performance measurement and green supply chain management (GSCM) fields, covering 78 publications in peer-reviewed academic journals. The literature is reviewed according to several perspectives, including the environmental aspects considered, the main purpose of measurement, model types and the extent of supply chain covered by performance measurements.

Adopted environmental metrics show a low degree of standardisation and focus on natural resources, energy and emissions to air. The visibility and traceability of environmental aspects are still limited; the assessment of environmental impacts does not span in most cases beyond the direct business partners of the focal firms. A trade-off was observed between the range of environmental aspects and the extent of the supply chain considered with no method suitable for a holistic evaluation of the environmental supply chain performance identified. Three major streams of research developing in the field are identified, based on different scope.

This paper is the first attempt to examine in detail what tiers of the supply chain are actually involved in green performance assessment, ultimately contributing to clarify the scope of the supply chain dimension in GSCM performance measurement research. The work also recognises which methods are applicable to extended supply chains and explores how different methodologies perform in terms of supply chain extent covered.

The prime objective of this paper is to design a green supply chain management (GSCM) framework to evaluate the performance of environmental-conscious suppliers using multi-criteria decision-making (MCDM) approach.

The literature survey reveals critical factors for implementing GSCM, adopted methodologies and the result obtained by several researchers. Data have been collected by conducting surveys and interviews with strategic-level personnel of five esteemed organizations in automobile manufacturing sectors. A GSCM framework is developed in which a mathematical tool entropy–the technique for order of preference by similarity to ideal solution (TOPSIS) has been used to analyze the six parameters of automobile manufacturing unit. Initially, entropy is used to find the weights of each of the parameters that influence the decision matrix of the TOPSIS method. Secondly, the proposed GSCM framework ranks the supplier. Finally, sensitivity analysis of the model satisfies the GSCM framework and benchmarked the supplier.

The result shows that “Total CO₂ emission” has an influential role for GSCM sustainability, and hence, firms should put more effort to reduce emissions to improve overall performance. Again, the parameters like investment in R&D and total waste generation may be ignored in the selection process. The result reveals the benchmarked supplier and its strategies for effective sourcing, which would have an indirect effect on organizations' overall sustainability.

This research entirely focuses on sustainability within supply chain considering economic, social and environmental paradigms. The mathematical modeling of the proposed work considers many influential parameters and provides an easy and comprehensive decision-making technique.

The methods may be adopted by the industries for sustainable supply chain management. This study benchmarks the supplier organizations and explores the adopted policies by benchmarked organizations. Other organizations should follow the policies followed by benchmarked organization for enhancing environmental, social and economic performance. Organizations striving for sustainable development can adopt this framework for evaluation of supplier performance and benchmark with better accuracy.

The design of the GSCM framework explores both the qualitative and quantitative data based on environmental, social and economic parameters simultaneously in the evaluation of environmentally conscious suppliers. The research also investigates the constraints of the system to implement the GSCM in automobile manufacturing unit. Additionally, the sensitivity analysis justifies the benchmarked supplier and the adopted strategies to be followed by other manufacturing unit.