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This research study aims to identify and rank the most substantial barriers to implementing green supply chain management (GSCM) in the Vietnamese agriculture industry.

The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) techniques have been employed for this work to rank the critical GSCM barriers. The rankings were determined based on the expertise and input of ten experts from Vietnamese agriculture firms who participated as respondents.

This study has identified seven clusters of barriers, which encompass a total of 19 sub-barriers. Among these obstacles, the categories of financial costs and external stakeholders have emerged as the top priority barriers that require immediate attention and resolution. Meanwhile, the technology and strategic management clusters have a relatively weaker impact on GSCM implementation.

These findings provide valuable guidelines for the top managers in this sector to consider before systematically deciding on the GSCM implementation problems to improve performance and competitive advantage.

This work focuses on considering GSCM barriers for the Vietnamese agriculture industry; hence, it enriches the GSCM literature by offering perspectives from a transitional market, which results in variations in the barriers, categorization and importance ranking.

The purpose of this paper is to investigate critical barriers hindering the adoption of green supply chain management (GSCM) and the opportunities that can be exploited with such an implementation in the construction industry of developing countries. It also devises strategies to avoid critical barriers in implementation and exploit opportunities for a better overall environmental performance of the construction industry.

This research relies upon an extensive literature review; data are collected from 163 professionals and 15 interviews of field professionals from 11 developing countries are conducted. The barriers and opportunities are synthesized through literature review and then data are collected over their significance from the construction professionals through an online survey. To highlight the interconnectedness of the critical barriers and opportunities, a causal loop framework is developed. Furthermore, expert opinion is sought to develop the strategies.

This research integrates information from different sources and provides a holistic view of the current situation of GSCM in developing countries. In total, 34 barriers and 23 opportunities are extracted from literature. The top 4 barriers fall under the “involvement and support” category, whereas the top four opportunities fall under the “environmental” category. Furthermore, the strategies to implement GSCM include suitable policies by top management to incorporate practices such as innovative green design, green procurement, green packaging, green distribution and even end-of-life management, which play a vital role in emission reduction.

This research is a first attempt at evaluating the barriers and opportunities facing GSCM in the construction sector of the developing countries. The findings encourage the stakeholders in adopting GSCM practices by presenting a clear picture of the potential benefits that can be exploited by implementing the proposed strategies to eliminate critical barriers in the construction industry.

The purpose of this paper is to identify barriers to implement green supply chain and to understand their mutual relationship. Green supply chain management (GSCM) barriers are identified using available GSCM literature and on consultations with experts from industry and academician. Interpretive structural model (ISM) was developed to identify the contextual relationship among these barriers.

A group of experts from industries and academics was consulted and ISM is used to develop the contextual relationship among various GSCMBs for each dimension of GSCM implementation. The results of ISM are used as an input to fuzzy matrix of cross-impact multiplications applied to classification (MICMAC) analysis, to identify the driving and dependence power of GSCMBs.

This paper has identified 14 key GSCMBs and developed an integrated model using ISM and the fuzzy MICMAC approach, which helps to identify and classify the important GSCMBs and reveal the direct and indirect effects of each GSCMB on the GSCM implementation. ISM model provides only binary relationship among GSCMBs, while fuzzy MICMAC analysis provides precise analysis related to driving and dependence power of GSCMB, to overcome this limitation, integrated approach is developed.

ISM model development and fuzzy MICMAC analysis were obtained through the judgment of academicians and industry experts. It is the only subjective judgment and any biasing by the person who is judging the GSCMBs might influence the final result.

This is first kind of study to identify GSCMBs and further, to deploy ISM and fuzzy MICMAC to identify and classify the key GSCMEs that influence GSCM implementation in the organization. The results will be useful for business managers to understand the GSCMBs and overcome these GSCMBs during GSCM implementation in an organization.

In Bangladesh, the chemical industry is one of the expanding industries based on current statistical data analysis. Green supply chain management (GSCM) is pivotal in order to compete with the global competition. This paper main aim is to discuss a systematic approach to build a structural outline. The purpose of the proposed structural outline is to predict the constructive implementation of GSCM especially on chemical industry in Bangladesh.

This proposed structural framework evaluates the suitable interrelationship next to the barriers of GSCM in the Bangladesh's chemical industry. Here, on the basis of literature review and survey from expert opinions by the use of the Delphi methodology in total eight barriers were concluded. Here additionally, MICMAC analyses were applied to determine the driving and dependence power. Furthermore, the frameworks outline for the barriers were included by means of total interpretive structural modeling (TISM) method.

Based on the analysis, the most significant barriers were found lack of supporting laws and guidance from the government and cost of disposal of hazardous products.

The TISM technique only has implemented to develop the framework, whereas other tools or structural equation modeling (SEM) technique can be used to develop and validate the frameworks for barriers.

In this research, Delphi method questionnaire generated based on the GSCM in the Bangladesh chemical sector. This study will assist the industrial managers to assess and evaluate the crucial sectors, whereas they should give priority to apply the GSCM in the Bangladesh chemical industry.

There are several important strategic projects in the field of renewable energy in Egypt. Benban project is considered as one of the largest solar generation facilities in the world, which aims to increase clean energy produced, provide electricity needs for citizens and help to increase the volume of Egypt's electricity exports. The purpose of this paper is to explore the most important drivers and barriers that affect the implementation of green supply chain management (GSCM) practices in the field of solar energy production.

It is an exploratory research that conducts a case study about solar energy companies operating in Benban, south Egypt. It adopts a mixed approach; qualitative and quantitative research strategy to test the relationship between dependent and independent variables through a survey.

This research concluded that normative drivers involving stakeholder pressure are of the greatest drivers of GSCM practice, while external barriers including lack of government regulations and government support, poor supplier commitment, customers’ unawareness of sustainable green products, lack of markets receiving and manufacturing recycled materials, lack of renewal or technological innovation in markets and lack of human resources or expertise in market are among the biggest barriers to GSCM implementation.

The researchers collected 30 responses during the field survey, which is a nonrandom sample that does not allow generalization. In addition, samples are only from companies in the solar energy sector only.

As there is a need for research that addresses sustainability practices and solutions in developing countries, especially in Egypt, this paper theoretically contributes to literature by proposing a conceptual framework that identifies the drivers and barriers of GSCM from the existing literature, then investigates and measures their impact on the implementation of GSCM on an Egyptian case study. As regards the practical contribution, this research is a trial to experimentally test the importance of top management’s role in motivating and training employees to improve the brand image of their company and making them aware of the benefits of the successful GSCM implementation.

The aim of this study is to explore the barriers and drivers of green supply chain management (GSCM) in Lebanese restaurants. The author of this paper classified the barriers and drivers as internal and external factors. This study further assesses the level of knowledge of GSCM in the Lebanese restaurant industry. In particular, the case of “Besten” is addressed to tackle the major drivers and barriers to adopting GSCM.

This paper follows the pure qualitative research design as the design is based on an interview. Further, this paper adopts the interpretivism research. As for the research approach, this paper adopts the inductive approach. Regarding the research strategy (data collection method), this paper is a case study discussing the level of awareness of GSCM, the drivers, and the barriers to adopting GSCM by a Lebanese independent restaurant, “Besten.” As for the choice of research methodology, a qualitative interview is conducted with the owner of “Besten” restaurant, Mr. Omar El Mais, to discuss and try to figure out the main impediments and motivators of adopting GSCM at Besten.

The study found that the major drivers of adopting GSCM in the Lebanese restaurant context, more specifically in Besten, are management's awareness, management mentality, gaining customers' trust and loyalty, the intention of going international, and market trends. The latter two drivers are specific to the Lebanese context and were not mentioned in previous research. As for the barriers, the major ones are the cost constraints, lack of Lebanese laws and regulations, the Lebanese economic crisis since 2019, and loss of funds to banks. The latter three barriers are specific to the Lebanese context and were not stated before in the literature.

Although the research is restricted to one case study, the research tackles and provides an in-depth understanding and elaboration of GSCM adoption, barriers, and drivers within one of the Lebanese independent restaurants as the topic has not yet been tackled within the Lebanese context. The results of this paper are specific to “Besten” and cannot be generalized.

Policymakers and non - governmental organizations (NGOs) might benefit from the findings of the study and set the needed laws/regulations to promote GSCM. Policymakers and NGOs might benefit from the findings of this study and implement the needed awareness campaigns about GSCM to the concerned bodies. Further, restaurant owners/managers might benefit from this study and gain a better understanding and insight of the GSCM, GSCM's potential barriers, and drivers in case restaurant owners/managers would like to adopt GSCM in the future.

Awareness and adoption of the GSCM within the restaurant context is essential in saving the environment, reducing waste, and reducing harmful emissions.

Despite the widespread literature about GSCM practices, the GSCM has not been tackled yet in the Lebanese context although the Lebanese context varies from other countries and what can be deduced from other countries regarding GSCM may not be adequate given the Lebanese complexities. The case study discussed in this research provides an in-depth understanding of this concept, GSCM's adoption, the internal and external drivers, and the internal and external barriers within one restaurant in the complex Lebanese restaurant context.

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.

Green supply chain management (GSCM) has received growing attention in the last few years. Almost all industries including mining industries are hit by green fever. In this context, this study aims to identify various challenges faced by the Indian mining industries during GSCM implementation and practices and to represent in a hierarchical manner.

Various barriers and contextual relationships among them have been identified. Classification of barriers has been carried out based upon dependence and driving power (DP) with the help of MICMAC analysis. In addition to this, a structural model of the barriers to GSCM practices in Indian mining industries has been put forward using interpretive structural modelling (ISM) technique.

In the present work, 11 numbers of relevant barriers have been identified from literature and subsequent discussions with experts from academia and industry. Lack of environmental awareness, poor legislation and inadequate pressure from societies positioned at the bottom of the hierarchy are found to be the key barriers. These barriers have high DP and less dependence.

A model of these barriers has been developed based upon expert's opinions and literature survey. This model is not statistically validated. This model also does not quantify the adverse effect of each of the variables on GSCM practices in Indian mining industries.

The development of a hierarchy helps in the classification and categorization of the barriers, and thereby formulates their respective strategies and policies while providing clarity of thought. Also this hierarchy facilitates the allocation of resources in a rational manner at the time of scarcity of resources and to achieve the maximum benefits of the available resources.

The structured model developed will help to understand interdependence of the barriers. Using ISM, this paper has developed a hierarchy of these barriers which is useful to identify the hierarchy of actions to be taken for handling different barriers.

The purpose of this paper is to identify the main motivating factors and difficulties in implementing GSCM; and to describe and explain how GSCM is being adopted in the Brazilian automotive industry.

To meet the proposed objectives three case studies will be carried out in a Brazilian automotive industry, performing a total of 13 interviews, based on a research protocol. As the data collection instrument, a semi-structured interview was used based on a pre-established script, direct observation and documents from the organization researched. For the analysis of the results, the content analysis method was used, applying a triangle analysis to the research data with the patterns presented in the theoretical reference.

The paper orients the companies in the automotive sector to adopt GSCM practices and principally that internal actions of automakers can be transferred throughout the supply chain.

Contributes in a more practical so that companies evaluate the level of application of their GSCM practices such that they may take more corrective actions to increase the level of GSCM practices.

Proposition of one classification system to identify the level of adoption of GSCM practices.

The purpose of this paper is twofold: first, to investigate the direct effect of internal and external drivers on full implementation of the green supply-chain management (GSCM) practice; and second, to investigate the direct effect of internal drivers and indirect effect of external drivers on the full implementation of the GSCM practice.

The study is based on the data collected from 30 to 35 furniture small and medium enterprises (SMEs) chosen from each surveyed region. In this case, the selected SMEs should have been conducted some GSCM practices. So, the total number of samples used in this study is 100 SMEs. The relationships between internal and external drivers and the success of the implementation of the GSCM practices are analyzed using structural equation modeling.

The results of this study have revealed that internal and external drivers, which consist of involvement, technology, financial, regulation and customer pressure, have a direct effect on early adoption of GSCM practices. Among these drivers, technology gives the most significant effect. The results have also shown that only financial factor has a direct effect on the full implementation of GCSCM practices, whereas regulation and customer pressure have positive effect on the full implementation through early adoption of GSCM practices.

Among the limitations of this study is related to the sample that was restricted to SMEs of furniture in three regions. The other limitation could be related to variable involved as internal and external drivers. This study has only used involvement, technology, knowledge, financial, and regulation and customer pressure as the antecedent variables of early adoption of the GSCM practices. Moreover, this study has only used the Likert scale as an approach to measure the implementation of GSCM practice management, which could be the source of bias in expressing the level of the implementation.

From the internal side of enterprises, the top management or the owner of SMEs can develop an effective comprehensive environmental strategy. This strategy requires the top management of SMEs show an environment oriented, allocate a specific person for implementing the GSCM practice and learn about the current technology that can support the environmentally friendly products, and also allocate the specific budget to support the implementation of GSCM practice. Moreover, since the study also found that financial factor was just the only factor having a direct effect on the full implementation of GSCM practices; therefore, the government should help the SMEs of furniture in developing low cost-GSCM implementation techniques and also provide easiness for the SMEs to get the needed fund for implementing the GSCM practice.

The research has confirmed that regulation and customer pressure have the positive and significant effect on the full implementation of GSCM practices. It may encourage the government to make some policy related to improvement of the implementation of GSCM practice by SMEs of wooden furniture, specifically in the Central Java Province. Another implication would be to encourage the customer to make purchasing oriented decision for the implementation of GSCM practices by the SMEs of wooden furniture.

This study contributes to the literature of GSCM by combining the critical factors of implementation of GSCM practices toward internal and external drivers and empirically testing the direct and indirect impacts on the level of adoption of GSCM practices.