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During the previous two decades, “Green Supply Chain Management” (GSCM) has been gaining the attention of researchers and practitioners from various fields (e.g. operations, logistics and supply chain management). Its significance is constantly growing, and various studies are conducted in order to capture its overall organizational contribution. The present study attempts to bring together various organizational aspects that have never been collectively investigated before in the relevant literature. Under that rationale, a robust conceptual framework is developed and empirically tested. This framework includes 17 factors that are classified in three dimensions: (1) drivers of GSCM practices, (2) GSCM practices and (3) firm performance (GSCM outcomes).

The examination of the proposed conceptual framework was performed using a newly developed structured questionnaire that was distributed to a sample of Greek manufacturing organizations. Supply Chain managers and Chief Executive Officers (CEOs) were used as key respondents, due to their knowledge and experience. After the completion of the three-month research period (last quarter of 2019), 292 useable questionnaires were returned. The empirical data were analyzed using the “Structural Equation Modeling” technique. The study is empirical (based on primary data), explanatory (examines cause and effect relationships), deductive (tests research hypotheses) and quantitative (includes the analysis of quantitative data collected with the use of a structured questionnaire).

Empirical results point out that internal environmental management, green innovative practices and environmental proactivity are GSCM practices with the most significant impact on firm performance. Moreover, the mediating role of GSCM practices in the relationship between GSCM drivers and firm performance is also highlighted. Finally, it was found that GSCM practices can explain 35% of the variance in firm performance and the drivers of GSCM practices can explain 78% of the variance of these practices.

The proposed three-dimensional conceptual framework of this empirical study and its underlining rationale has rarely been adopted in the relevant literature. Moreover, the study investigates which GSCM practices have an impact on firm performance, thus offering value to practitioners of the field. Also, it is one of the few similar studies that have been conducted on a European country.

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 research is to investigate the implementation of green supply chain management (GSCM) practices and its impact on corporate performance (CP). The research in particular examines the results of implementing a set of GSCM practices on different dimensions of the CP.

This study, being the first of its kind in the Middle East, developed a research model to test the relationship between four main GSCM practices namely, eco-design, green purchasing, environmental cooperation and reverse logistics, and four dimensions of CP: operational performance, environmental performance, economic performance and social performance, while controlling three main variables (firm size, firm age and environment management system certification). Statistical analyses were based on the data collected, through survey questionnaires, from 117 firms in the manufacturing industry in the UAE. Reliability and validity of the research model were tested by the commonly accepted statistical tools. To test the hypotheses relating implementation of GSCM practice and CP, multiple regression analysis was used.

The finding of the study was that GSCM practices impact the CP dimensions differently. While none of the four GSCM practices were found to have any impact on the environmental performance, green purchasing and environmental cooperation were found to have a significant impact on the operational performance. The study found that only green purchasing plays a role in improving the economic performance, while only reverse logistics practices were found to impact the social performance of the firm positively.

Research on GSCM is still in the nascent stage. Further refinement of the survey to differentiate between different manufacturing industries might be needed. Generalizability of the findings is also limited because of data collected from manufacturing firms in the UAE. This research provides important insights. The findings of this research are generally consistent with those of prior studies in other parts of the world. Firms in manufacturing industry in the UAE believe that GSCM practices help the company design and develop better products which, in turn, increase the company chances in selling its products in the international markets while, at same time, improving the average profit and market share. It was also found that the UAE firms believe that implementation of GSCM practices help improve the corporate image, enhance employees’ job satisfaction and improve employees’ health and safety.

Implementation of GSCM practices improves CP in different ways. Supply chain managers are required to decide on the CP dimension they want to improve and accordingly select the appropriate GSCM practices mix that leads to the desired level of improvement.

Although few earlier researches studied the impact of GSCM on CP, this study is different and makes a unique contribution by offering a holistic view of the impact of implementing four main GSCM practices on all dimensions of CP. The study offers some insights on the type of GSCM practices the firm needs to adopt to improve the targeted performance dimension.

The purpose of this paper is to explore the impact of five dimensions of green supply chain management (GSCM) practices (i.e. internal environmental management, green purchasing, cooperation with customers, eco-design, and investment recovery) on three dimensions of organizational performance (i.e. environmental, economic and operational performance).

Data were collected based on a cross-sectional survey of managers of 160 manufacturing firms in India. Structural equation modelling was used to test the influence of GSCM practices on each of the organizational performance outcomes.

Except for internal environmental management and green purchasing, all other GSCM dimensions are found to significantly impact at least one of the performance dimensions, either directly or indirectly. The results highlight that investment recovery practice is a key predictor of environmental performance, whereas eco-design is a key predictor of operational performance. The structural equation modeling result also suggests that GSCM do not directly affect economic performance, but can improve it indirectly.

Since data was collected from managers of manufacturing firms on the basis of their subjective evaluations, future research studies should employ objective performance indicators for analysis. Also, the study did not consider some dimensions of GSCM practices, which can be included in future studies.

Manufacturing firms should implement GSCM practices not just because of the pressure from regulatory bodies but also to elevate their environmental, operational and economic performance. The proposed model in this paper suggests practitioners which GSCM factors are driving these performance changes and supports the building of a roadmap for GSCM implementation in their organization.

Manufacturing firms from four different operating sectors, namely automotive, electrical and electronics, process and machinery sectors are the respondents. The originality of the paper lies in testing the influence of GSCM practices on organizational performance in a novel context, where most GSCM initiatives fail for one reason or another. Furthermore, the assessment of the interaction between five constructs of GSCM practices and three constructs of organizational performance in the Indian manufacturing context offers unique conceptual contribution to the researches in the GSCM field.

The aim of this paper is to conceptualise a structural model of natural resource based green supply chain management (GSCM), and its relationship, with an indication of cause and effect, to relevant performance measures and drivers.

The literature, describing GSCM from a natural resource based view (NRBV), along with performance measures and institutional drivers, is critically evaluated and used to develop the model.

Constructs are identified in terms of intra‐ and inter‐organisational environmental practices, performance measures and institutional drivers. Causal relationships, within and between the constructs, are also proposed in the form of hypotheses.

At this stage the model is purely conceptual and the causal relationships are only proposed. Empirical tests of the model and hypotheses are required.

On empirical verification, this work can furnish managers with validated measurement scales to evaluate their strengths and weaknesses in their GSCM implementation and determine how firms can successfully implement GSCM to promote sustainable industrial development.

GSCM from within the NRBV perspective, and incorporating performance measures and institutional drivers, has yet to be comprehensively synthesised in a coherent model. This conceptual work is the first step in that direction.

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 concept of green supply chain management (GSCM) is evolving rapidly due to the environmental concerns and gaining popularity in the research community. This study critically analyze the literature of GSCM pressure, practice and performance for manufacturing enterprises based on the results of bibliometric, network and frequency analyses.

Scopus database is used for literature search. Bibliometric network and frequency analysis are used to critically review the evolution of identified constructs and measures of GSCM pressure, practice and performance.

This study has identified that the selected topic is in growing stage through the collaborative effort of the worldwide researchers. This study also shows the diffusion of influence in developing countries and there are enormous opportunities of research in these regions. The study finds evaluation of GSCM constructs and measures with time and shift in focus areas by the researchers. The study suggests more focus on the measurement of informative pressures, reverse logistics practices and negative impact on economic performance due to the adoption of GSCM practices. There is a need of simultaneous analysis of GSCM pressures, practices and performance to identify the cascading effect in different regions and industrial sectors and developed a conceptual framework to identify this effect. This study also observes the need of more quantitative measures-based case studies and suggests the use of life cycle assessment for the quantification of environmental performance.

This study for the first time has analyzed a specific topic of GSCM pressure, practice and performance through bibliometric and network analyses. This study critically reviews the constructs and measures of GSCM pressure, practice and performance and identified the future research directions.

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 study examines green absorptive capacity as an important intervening variable that elucidates the relationship between green supply chain management (GSCM) practices (specifically, green purchasing, customer cooperation and investment recovery) and firm performance.

Drawing from the theoretical underpinnings of the natural-resource-based view theory and information processing theory, a research model is developed and tested using data obtained from 368 manufacturing firms in Ghana. Data analysis was conducted using structural equation modeling.

The results indicate that green purchasing, customer cooperation and investment recovery have a direct positive and significant effect on firm performance. Additionally, green purchasing and customer cooperation have a positive and significant effect on green absorptive capacity but investment recovery does not. Further, the results show that the paths from green purchasing and customer cooperation to firm performance are positively mediated by green absorptive capacity.

The study reveals to supply chain managers that green absorptive capacity is an important conduit through which firms can achieve enhanced firm performance from GSCM initiatives.

This study makes a contribution by integrating the absorptive capacity literature and green management literature and establishes green absorptive capacity as a mechanism through which GSCM practices enhance firm performance.

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.