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This study examines the relationships between lean manufacturing, green supply chain management (GSCM), supply chain resilience (SCR), and firm performance in Thai manufacturing companies. Using data from 322 employees across various industries, the research employs co-variance-based structural equation modelling to test a series of hypotheses. The findings reveal that lean manufacturing has significant positive effects on both GSCM practices and firm performance. GSCM practices demonstrate a strong positive impact on SCR. However, contrary to expectations, the study finds no significant direct relationship between GSCM practices and firm performance, nor between SCR and firm performance. The hypothesized mediating roles of GSCM practices and SCR in the relationship between lean manufacturing and firm performance are not supported. These results suggest that while lean manufacturing and GSCM practices contribute to improved operational efficiency and environmental sustainability, their translation into enhanced financial performance may be more complex than previously thought. The study contributes to existing literature by providing empirical evidence from the Thai manufacturing context and highlights the need for further research into how operational improvements in lean and green practices can be converted into tangible financial outcomes. [ABSTRACT FROM AUTHOR]

This study examines the sustainability and supply chain challenges within Africa's renewable energy sector, proposing solutions grounded in green supply chain management principles and Industry 4.0 technologies. Utilizing an interpretive research strategy, we collected qualitative data from mini-grid companies, regulatory authorities, and a global financial institution that funds renewable energy projects across the continent. Our findings reveal a range of supply chain issues related to importation processes, economic policies, regulatory frameworks, logistics, skills shortage, and corruption. Additionally, we identified sustainability challenges such as a lack of environmental awareness and inadequate end-of-life management practices. To address these issues, we propose green supply chain management practices like recycling, responsible sourcing, and carbon footprint assessment. We also advocate leveraging Industry 4.0 technologies—including the Internet of Things, blockchain, and big data analytics—for smart metering and energy management. This study offers vital insights into the supply chain and sustainability challenges within the renewable energy sector, presenting practical solutions through the integration of green supply chain management and industry 4.0 technologies. Also, by addressing barriers unique to a developing economy, the research provides insights into actionable strategies for policymakers and industry stakeholders to enhance efficiency, reduce environmental impact, and promote sustainable development. The study similarly underscores practical implications, calling for robust strategies to resolve supply chain and sustainability challenges, the enactment of policies favourable to the renewable energy sector, and enhanced collaboration among government departments and law enforcement agencies. [ABSTRACT FROM AUTHOR]

Artificial neural networks, a major element of machine learning, focus additional attention on the decision-making process. We extended the idea of artificial neural networks to continuous linear Diophantine fuzzy neural networks. A few operational concepts for continuous linear Diophantine fuzzy sets are further developed, and they are subsequently made simpler to apply to more than two such sets. Also, a real multi-criteria decision-making problem has been formulated. The environment plays a very important role in our daily lives. We cause different types of pollution in our environment, and it has a bad impact on our lives. Air pollution is one of the various forms of pollution that is thought to affect the entire globe. Millions of people die due to air pollution, and industries are the main contributors to air pollution. To overcome air pollution, green supply chain management plays a vital role, but green supply chain management faces some barriers as well. According to the proposed model, R 1 is the best alternative and green supply chain management faces financial problems more than other barriers and also provides strategies to overcome financial barriers. In addition, a comparative analysis develops to illustrate the reliability and feasibility of the suggested technique in relation to current techniques. [ABSTRACT FROM AUTHOR]

In the current dynamic market, businesses have recognized the pivotal role of data and sustainability technologies in attaining competitive advantage. Big Data Analytics-Artificial Intelligence and Green Supply Chain Management are significant sustainability promotion strategies. The research collected data from 220 employees in the Taiwanese manufacturing sector with the help of a survey methodology. The findings revealed significant impacts of Big Data Analytics-Artificial Intelligence on both green supply chain management and supply chain ambidexterity. Moreover, supply chain ambidexterity significantly influences green supply chain management. Lastly, supply chain ambidexterity was also found to mediate the relationship between Big Data Analytics-Artificial Intelligence and green supply chain management. This study provides several implications for fostering a responsible economy. It elucidates how leveraging Big Data Analytics-Artificial Intelligence enhances supply chain ambidexterity, reinforcing sustainable practices without detectable alterations. [ABSTRACT FROM AUTHOR]

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This research explores the relationships between green supply chain management (GSCM), lean management (LM), corporate social responsibility (CSR), and business performance (BP) in the industrial sector of Saudi Arabia. The project is implemented within the Vision 2030 framework, which aspires to green the Saudi economy by transitioning it from reliance on hydrocarbons to a diversified, sustainable economy. A quantitative approach was implemented, which involved the application of the structural equation modeling analysis for the survey data from 345 managers in the industrial sector in Saudi Arabia's Eastern Region. The results revealed that GSCM directly makes a significant contribution to LM, CSR, and BP. Also, the study found that LM was the positive factor that mediated the relationship between GSCM and BP. Nevertheless, no such associations were found between CSR and BP, nor was there an indirect effect of CSR as the mediator variable. The research underscores the supreme role lean management plays in translating environmentally friendly supply chain practices into better business performance. It reveals that industrial companies wishing to gain the advantages of narrowing their supply chain by using green practices should also simultaneously implement a lean management system to improve efficiency. [ABSTRACT FROM AUTHOR]

Abstract This study examines the sustainability and supply chain challenges within Africa's renewable energy sector, proposing solutions grounded in green supply chain management principles and Industry 4.0 technologies. Utilizing an interpretive research strategy, we collected qualitative data from mini-grid companies, regulatory authorities, and a global financial institution that funds renewable energy projects across the continent. Our findings reveal a range of supply chain issues related to importation processes, economic policies, regulatory frameworks, logistics, skills shortage, and corruption. Additionally, we identified sustainability challenges such as a lack of environmental awareness and inadequate end-of-life management practices. To address these issues, we propose green supply chain management practices like recycling, responsible sourcing, and carbon footprint assessment. We also advocate leveraging Industry 4.0 technologies—including the Internet of Things, blockchain, and big data analytics—for smart metering and energy management. This study offers vital insights into the supply chain and sustainability challenges within the renewable energy sector, presenting practical solutions through the integration of green supply chain management and industry 4.0 technologies. Also, by addressing barriers unique to a developing economy, the research provides insights into actionable strategies for policymakers and industry stakeholders to enhance efficiency, reduce environmental impact, and promote sustainable development. The study similarly underscores practical implications, calling for robust strategies to resolve supply chain and sustainability challenges, the enactment of policies favourable to the renewable energy sector, and enhanced collaboration among government departments and law enforcement agencies.

Abstract Artificial neural networks, a major element of machine learning, focus additional attention on the decision-making process. We extended the idea of artificial neural networks to continuous linear Diophantine fuzzy neural networks. A few operational concepts for continuous linear Diophantine fuzzy sets are further developed, and they are subsequently made simpler to apply to more than two such sets. Also, a real multi-criteria decision-making problem has been formulated. The environment plays a very important role in our daily lives. We cause different types of pollution in our environment, and it has a bad impact on our lives. Air pollution is one of the various forms of pollution that is thought to affect the entire globe. Millions of people die due to air pollution, and industries are the main contributors to air pollution. To overcome air pollution, green supply chain management plays a vital role, but green supply chain management faces some barriers as well. According to the proposed model, $${\mathfrak{R}}_{1}$$ R 1 is the best alternative and green supply chain management faces financial problems more than other barriers and also provides strategies to overcome financial barriers. In addition, a comparative analysis develops to illustrate the reliability and feasibility of the suggested technique in relation to current techniques.

Purpose: This study aims to examine the impacts of institutional pressures and individual adaptation performance on the adoption of green supply chain practices and reverse logistics, and their effects on production-based CO2 emissions, focusing on emerging markets with a detailed case study of Türkiye.Methodology: The research methodology employed structural equation modeling (SEM) and SmartPLS for the analysis of the data. This approach allowed for an in-depth examination of the relationships between institutional pressures, individual adaptive performance, green supply chain practices, reverse logistics, and CO2 emissions.Findings: The findings reveal a nuanced relationship where institutional pressures directly impact reverse logistics but show minimal direct influence on green supply chain practices or CO2 emissions reduction. In contrast, individual adaptive performance is crucial in enhancing both green supply chain practices and reverse logistics. Notably, reverse logistics is significantly effective in reducing CO2 emissions. Originality: This study enriches the literature by revealing how institutional pressures and individual adaptive performance influence green supply chain management in emerging markets, particularly demonstrating through the case of Türkiye that the impact of within-field variability on the adoption of superior practices depends on individual adaptive performance.

Abstract This study aims to identify and analyze the barriers to Green Supply Chain Management (GSCM) in the footwear industry of Bangladesh, which is essential for improving sustainability and gaining a potential benefit in the global market. Despite the growth of Bangladesh’s footwear industry, environmental challenges and a lack of green practices have hindered its ability to meet international standards. The study employs a hybrid multi-criteria decision-making approach, combining Stepwise Weight Assessment Ratio Analysis (SWARA) and Interpretive Structural Modelling (ISM) with MICMAC (Cross-Impact Matrix Multiplication Applied to Classification) analysis. Using literature reviews and expert opinions from industry professionals, 19 barriers were initially identified, which were narrowed down to 12 for further analysis. SWARA was used to rank these barriers, while ISM-MICMAC was applied to assess the interrelationships between them. The findings reveal that the most significant barriers to GSCM implementation are insufficient training and poor supplier commitment, followed by a lack of knowledge and experience. The ISM-MICMAC analysis highlights the interdependencies among these barriers, suggesting that addressing one may impact others. This research is novel in its application of a hybrid SWARA-ISM-MICMAC approach to the footwear industry, a sector in Bangladesh that has not been extensively studied in the context of GSCM. The study provides practical implications for managers and policymakers by offering insights into the most critical barriers and their interrelations, guiding targeted interventions. By addressing these barriers, the footwear industry can enhance its sustainability practices, improve market competitiveness, and meet growing environmental demands.

Due to increasing environmental awareness and legislation, green supply chain management (GSCM) is essential for organizations. Despite significant research on GSCM principles, there is limited clarity on their specific application to sustainable sourcing and distribution. The research aims to clarify the core principles of GSCM, differentiate sustainable sourcing and distribution concepts, evaluate theoretical frameworks guiding GSCM practices, investigate recent innovations, and identify challenges and barriers to GSCM. This review explores GSCM with a focus on sustainable sourcing and distribution by utilizing the Scopus database. The database is searched from Jan 17th, 2024 to August 25th, 2024. By employing Title-ABS-Key (“green supply chain management” and “sustainable sourcing” or “sustainable distribution” or “framework” or “model” or “innovation” or “challenges” or “barriers”) search, the review includes 266 papers from period 1997 to 2024. The review delves into key theoretical frameworks such as the triple bottom line, stakeholder theory, and resource-based view, etc. and discusses their application in the context of GSCM. Findings show that (i) technological advancements like blockchain, IoT, AI, and big data analytics enhance transparency, optimize logistics, and reduce environmental impact, (ii) material innovations viz. bioplastics and recycled resources promote a circular economy and resource conservation, and (iii) supplier engagement through training, incentives, and collaboration foster sustainable practices. For green distribution, eco-friendly packaging, green transportation, and energy-efficient warehousing are important. The review also illustrates the best practices for the GSCM. The paper also addresses challenges including financial barriers, technological limitations, regulatory constraints, and cultural resistance.

A complex single-valued neutrosophic (CSVN) set is a very useful tool to handle the uncertainty, inconsistency, and ambiguity of knowledge in a periodic framework. The Schweizer-Sklar (SS) t-norm (TN) and t-conorm (TCN) enhance the flexibility of a procedure for aggregation depending on its parameters, whereas the power aggregation(PA) operator prevents insufficient impact of excessively high or low arguments on the results. Based on the idea of Schweizer-Sklar power aggregation operators, this paper aims to propose a number of aggregation operators such as complex single-valued neutrosophic Schweizer-Sklar power weighted averaging (CSVNSSPWA), complex single-valued neutrosophic Schweizer-Sklar power ordered weighted averaging (CSVNSSPOWA). Weights determination to solve green supply chain management problems in the single valued neutrosophic context is accomplished through the Simple Multi-Attribute Rating Technique (SMART). Furthermore, an example is given to show the uniqueness of the proposed operator and the difference between the proposed work and previous research. [ABSTRACT FROM AUTHOR]

This study aims to identify and analyze the barriers to Green Supply Chain Management (GSCM) in the footwear industry of Bangladesh, which is essential for improving sustainability and gaining a potential benefit in the global market. Despite the growth of Bangladesh's footwear industry, environmental challenges and a lack of green practices have hindered its ability to meet international standards. The study employs a hybrid multi-criteria decision-making approach, combining Stepwise Weight Assessment Ratio Analysis (SWARA) and Interpretive Structural Modelling (ISM) with MICMAC (Cross-Impact Matrix Multiplication Applied to Classification) analysis. Using literature reviews and expert opinions from industry professionals, 19 barriers were initially identified, which were narrowed down to 12 for further analysis. SWARA was used to rank these barriers, while ISM-MICMAC was applied to assess the interrelationships between them. The findings reveal that the most significant barriers to GSCM implementation are insufficient training and poor supplier commitment, followed by a lack of knowledge and experience. The ISM-MICMAC analysis highlights the interdependencies among these barriers, suggesting that addressing one may impact others. This research is novel in its application of a hybrid SWARA-ISM-MICMAC approach to the footwear industry, a sector in Bangladesh that has not been extensively studied in the context of GSCM. The study provides practical implications for managers and policymakers by offering insights into the most critical barriers and their interrelations, guiding targeted interventions. By addressing these barriers, the footwear industry can enhance its sustainability practices, improve market competitiveness, and meet growing environmental demands. [ABSTRACT FROM AUTHOR]

The goal of green procurement, also called green purchasing, is to reduce waste and improve operational efficiencies to enhance sustainability. Although this practice has gained importance in recent years and garnered significant scholarly attention, there is a lack of bibliometric studies evaluating the green procurement field. To close this gap, we leverage bibliometrics to comprehensively summarize the literature and identify existing research hotspots and trends. Specifically, we employ bibliometric tools to analyze keywords, identify influential authors, universities, and research areas and reveal the most important publications in terms of citations. The analysis shows that sustainable development, sustainability, green supply chain management, and green public procurement are core topics related to green procurement. The co-citation analysis further reveals five important research clusters in the literature, namely green public procurement, green supply chain management, green supplier selection and evaluation of green performance, networked sustainable procurement, and green procurement in the construction sector. This study makes a contribution to the green procurement literature by summarizing this quickly growing field and providing timely guidance as to future research directions. [ABSTRACT FROM AUTHOR]

Environmental issues are increasing in importance for businesses day by day. Businesses are undergoing an environmentally focused transformation in all their activities within the value chain. Therefore, the necessity of integrating and maintaining the concept of "green" in all processes such as production, technology development, marketing, and supply chains has emerged. Topics such as environmentally sensitive production systems, green supply, and green innovation (GI) are both accepted in practice in various sectors and are examined in the literature. When the impact of green practices on the performance items of businesses is taken into consideration, it is important to examine the issue from this perspective. In this context, the aim of this study is to examine the impact of green supply chain management (GSCM) practices on GI, environmental performance (EP), and competitive advantage (CA). Within the framework of this aim, a survey was conducted on 283 businesses producing plastic, packaging, and textile products in Gaziantep (169) and Konya (114) provinces in Türkiye. In this study, where the quantitative research method was adopted, the hypotheses established were tested by using structural equation modeling (SEM). SPSS 22.0 package program and AMOS 22.0 program were used in the analysis. Within the scope of the analysis, the measurement model (confirmatory factor analysis) was first tested. As a result of the analysis, GSCM practices have a positive impact on GI and CA; GSCM has a positive impact on EP; GI has a positive impact on CA; and EP has not a positive impact on CA. This study is significant as it examines the combined impact of GSCM, GI, EP, and CA. Also, this study is important as it is the first study to examine the impact of GSCM practices on GI, EP, and CA in Türkiye. [ABSTRACT FROM AUTHOR]

Smart technology is essential for integrating circular economy principles. This research investigates how conflict management strategies (collaboration, accommodation, avoidance, compromise, and competition) impact the adoption of smart technology, particularly blockchain, in Jordanian SMEs. Additionally, the study explores the moderating role of customer-centric green supply chain management in the relationship between blockchain adoption and circular economy principles. This research addresses a gap in the literature by focusing on Jordanian SMEs, an under-explored context. Data were collected from 421 senior managers, department heads, and executives of Jordanian SMEs, and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), to test the hypotheses and analyze complex relationships. The findings reveal that conflict management strategies are critical in blockchain adoption, with collaboration and compromise emerging as the most influential. Moreover, blockchain adoption positively impacts the implementation of circular economy principles. The moderating effect of customer-centric green supply chain management enhances the sustainability and competitiveness of SMEs through blockchain technology. This research contributes to theory and practice by providing valuable insights into the strategic role of conflict management in driving technological innovation and sustainability within the circular economy framework, particularly in the context of Jordanian SMEs. [ABSTRACT FROM AUTHOR]

This study aimed to design a model for identifying and ranking the factors influencing green supply chain management in the tile and ceramic industry, a significant industry in Iran. The study consisted of three main stages. In the first stage, a systematic review of the literature and the Meta-synthesis method were employed to identify and categorize the factors that contribute to the success of green supply chain management. The factors were thoroughly examined and refined in the second stage using the content validity method. As a result of these steps, a comprehensive model was developed, comprising 30 factors categorized into six dimensions: green suppliers, green technology and expertise, green human resources, green products, green organization and communications, and green regulations and support. In the third stage, the Interval Type-2 Fuzzy Analytic Hierarchy Process (IT2FS-AHP) method was utilized to rank the dimensions and factors. Experts' opinions were gathered through a questionnaire to determine the importance of each dimension and factor. The results indicated that the dimensions of green technology, expertise, and green regulations and support were deemed the most critical. Furthermore, factors such as "attention to social responsibility in the organization," "design and development of evaluation and selection systems of suppliers based on environmental criteria," and "support of operational, middle, and senior managers in implementing the green supply chain" were identified as highly influential in the success of green supply chain management. Overall, identifying and ranking key factors in green supply chain management contributes to mitigating the adverse environmental impact of industrial activities and enhancing customer satisfaction.

Purpose – The purpose of this study is to contribute to the debate on the impact of organizational culture and national culture on green supply chain management (GSCM) adoption by empirically testing the developed framework, and ultimately pave the way toward potential areas for future research. Design/methodology/approach – Using survey data from a sample of Moroccan manufacturing firms, 130 responses were collected and analyzed using SPSS 25 and Smart PLS v 3.3.3 software. The paper used a convenience sample, as it is required by the quantitative method, which legitimate making generalization under certain conditions. Findings – The research results indicated that the national culture does not influence the GSCM implementation. The results contradict a number of prior works. As for the second direct effect measured postulated that organizational culture has a direct and significant impact on the GSCM. The results indicate that adhocracy culture, clan culture and hierarchical culture have a positive impact on the implementation of GSCM initiatives. To assess the impact of ownership type on GSCM, we underlined the difference between local and foreign firms. In fact, as argued, the foreign firms are more implementing GSCM initiatives than local firms do. Based on the arguments advanced on prior literature, the firm size does, as expected, exert significant control over the adoption of GSCM initiatives. Research limitations/implications – The paper here is a starting point to understand how environmental sustainability and culture are interlinked; further research might contribute to this topic by empirically testing the model in similar or different contexts, using different cultural frameworks. Practical implications – The practical implications for the paper are related to the necessity of adopting adequate organizational culture to build responsible behaviors for GSCM adoption by Moroccan firms. Recognizing the powerful role of organizational culture as a crucial factor responsible for GSCM’s success beyond the well-defined corporate strategies, including market presence and technological advantages, etc. Social implications – This paper contributes to the establishment of codependent links between sociology and management fields as it helps to update the social theories present in the operations management area. Originality/value – To the best of the author’s knowledge, few works have pursued to review and bridge cultural theories with the GSCM implementation.

In response to compelling environmental and societal imperatives, the real estate sector is increasingly compelled to adopt environmentally sustainable practices, prompting a significant “green” shift. Drawing upon an extensive literature review and insights garnered through expert interviews, this study identifies 15 critical factors influencing the green supply chain in the Indian real estate domain. Employing the Interpretive Structural Modeling–Dynamic Multi-Attribute Decision-Making Trial and Evaluation Laboratory (ISM–DEMATEL) approach, the hierarchical and contextual relationships among these factors are systematically examined. The ISM–DEMATEL analysis unveils that government policies and legislation, developer orientation and commitment, and green financing emerge as the top three pivotal drivers steering the green supply chain in the Indian real estate sector. To further categorize these drivers, a Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis is employed, resulting in the classification of factors into independent, dependent, autonomous, and linkage categories. The research offers practical insights that may prove invaluable to stakeholders within the real estate industry as well as academicians.

The increasing population and rapid industrialization have driven material consumption to a level that surpasses the environment's capacity to cope with the resulting pollution. The circular economy offers a new business model, contrasting the traditional take-make-waste approach. In this context, the present study seeks to identify barriers at operational, strategic, and tactical levels in transition towards circular economy. The article focuses on recognizing barriers from an organizational viewpoint, using Analytic Hierarchy Process (AHP) to help decision-makers identify obstacles in implementing circularity principles. A total of 24 barriers, grouped into five categories, were identified for a pharmaceutical company. Findings reveal numerous barriers, including technology, finances, return on investment, policies and regulations, stakeholder management, and corporate strategy, all of which impact organizational sustainability efforts. Reverse logistics emerged as a critical concern due to the toxic nature of products, requiring stringent take-back mechanisms. This study is unique in assessing parameters within the framework of the triple bottom line and Sustainable Development Goals (SDGs), particularly SDG 12 (responsible consumption and production) and SDG 9 (industry, innovation, and infrastructure). The research evaluates GSM implementation challenges using circular and sustainable criteria to support achieving SDG 12.

Background This study aims to empirically test a comprehensive interrelationship between green supply chain management (GSCM), green technology innovation (GTI), waste management (WM), big data analytics capability powered by artificial intelligence (BDAC-AI), and their collective impact on sustainable performance (SP) in organizational contexts. Methods This study was conducted in Pakistan’s food processing sector. The respondents included 495 managers working in the food processing industry. A structural equation modelling (SEM) approach is used to examine direct and indirect relationships between the variables. The originality of this study lies in integration of the technology acceptance model (TAM) and dynamic capability theory (DCT) to understand sustainable practices in the context of the provided model. Results This study highlights that GSCM, GTI, WM, and BDAC-AI have positive, strong, and direct impacts on SP. Furthermore, GTI and WM only partially mediate the link between GSCM and SP, whereas the two moderate the link. In addition, BDAC-AI had a moderating effect on the relationship between GTI and SP. This study has managerial implications, including strategies that involve the use of theoretical frameworks for technological acceptance and dynamic capabilities to support sustainable initiatives. However, it is worth noting that the findings provide a practical contingency for managers and businesses interested in implementing green studies effectively, improving technologies, and strengthening sustainable performance capabilities. Conclusions The study extends the literature by establishing a model for operationalizing GSCM in the food processing sector. Furthermore, it adds value in that it first integrates TAM and DCT to explain sustainable operations and their impact on organizations. Furthermore, it extends the existing literature by establishing a relationship between GSCM and SC. It offers a model through which GSCM can be operationalized in the context of the FS sector.

Indonesia's fishing industry, especially in East Java Province, shows great potential but also harms the environment. CV. Pasific Harvest Surabaya (CV. PHB) is a fish canning industry in Banyuwangi Regency, which is currently facing problems such as the supply of raw materials, which continues to decline; the company has not measured and planned the total consumption of energy, fuel, water and the problem of workers who have not received environmental training. Although a waste processing system is in place, the production process still carries the risk of environmental pollution. The researchers collected data through observation, interviews, literature studies, and paired comparison questionnaires. The results of the research reveal that CV. PHB manages three supply chain flows with four supply chain actors. The final performance score is 81.77, with 24 verified KPIs. The KPIs that need performance improvement are packaging time until the product is picked up by the delivery service (D4), time for handling customer complaints (R3), and environmental training for workers (E1). [ABSTRACT FROM AUTHOR]

This study aimed to design a model for identifying and ranking the factors influencing green supply chain management in the tile and ceramic industry, a significant industry in Iran. The study consisted of three main stages. In the first stage, a systematic review of the literature and the Meta-synthesis method were employed to identify and categorize the factors that contribute to the success of green supply chain management. The factors were thoroughly examined and refined in the second stage using the content validity method. As a result of these steps, a comprehensive model was developed, comprising 30 factors categorized into six dimensions: green suppliers, green technology and expertise, green human resources, green products, green organization and communications, and green regulations and support. In the third stage, the Interval Type-2 Fuzzy Analytic Hierarchy Process (IT2FS-AHP) method was utilized to rank the dimensions and factors. Experts' opinions were gathered through a questionnaire to determine the importance of each dimension and factor. The results indicated that the dimensions of green technology, expertise, and green regulations and support were deemed the most critical. Furthermore, factors such as "attention to social responsibility in the organization," "design and development of evaluation and selection systems of suppliers based on environmental criteria," and "support of operational, middle, and senior managers in implementing the green supply chain" were identified as highly influential in the success of green supply chain management. Overall, identifying and ranking key factors in green supply chain management contributes to mitigating the adverse environmental impact of industrial activities and enhancing customer satisfaction. [ABSTRACT FROM AUTHOR]

This paper examines the impact of introducing a green own-brand product on an e-commerce platform, the incumbent competing sellers, and the environment. We develop a stylized model wherein a green seller and a non-green seller directly sell products to consumers through an e-commerce platform. The platform has the option to introduce its own-brand product and sell it within its marketplace. In scenarios where no brand introduction occurs, only two incumbents compete in the marketplace. However, with the introduction of the platform's own brand, three products compete in the marketplace. Our findings reveal several noteworthy results. Firstly, the introduction of the platform's own brand may diminish its profit, even when there are no development costs associated with the brand. Particularly intriguing is the observation that the platform's profit may decrease as the product greenness of its own brand increases. Secondly, under certain conditions, both incumbent sellers can experience improved outcomes with the introduction of the platform's green brand. Thirdly, while the platform's green brand introduction does not invariably enhance the supply chain's environmental performance, it may diminish it in instances where the base demand for the platform's own brand is substantial and the eco-friendliness of the brand falls within a mid-range spectrum. [ABSTRACT FROM AUTHOR]

Background: This research examines the direct influence of green supply chain management (GSCM) on hotel competitiveness and the indirect impact through environmental performance (EP). The competition between enterprises in today's changing marketplace has significantly heightened. Therefore, identifying the factors that contribute to an enterprises' competitiveness has become more essential than it was previously. Methods: We adopted a pre-tested scale drawn from previous related studies and we were able to collect 430 forms from managers and department heads in Saudi Arabian hotels. Results: The study findings of the structural model by PLS-SEM revealed that environmental and economic GSCM had a considerable beneficial influence on hotel competitiveness. However, the social aspect of GSCM failed to have an extensive effect on hotel competitiveness. All three dimensions of GSCM have a substantial indirect influence on hotel competitiveness via EP. Conclusion: The study developed a complete model that integrates the elements of GSCM with EP and hotel competitiveness. The study presents numerous implications for hoteliers and academics. [ABSTRACT FROM AUTHOR]

The textile industry of Pakistan, a major contributor to its economy, is encountering serious sustainability challenges, akin to many developing nations. The literature is replete with assertions on the importance of sustainability; however, cross-functional research is sporadic. This paper theoretically links Green HRM (GHRM) practices, Green SCM (GSCM) practices, and Triple Bottom Line (TBL) performance within this context. In scaffolding through Resource Orchestration (ROT) and Dynamic Capabilities (DCT) theories, a conceptual framework is proposed. We posit that GSCM transforms GHRM practices into tangible, eco-friendly supply chain activities resulting in enhanced sustainable performance, thereby playing a mediating role. Additionally, a unique interplay of Entrepreneurial Orientation (EO) as a moderator between GHRM and GSCM is introduced. Firms with higher levels of EO employ innovative approaches to implement GHRM practices into their supply chain strategies, leading to robust GSCM initiatives. The literature review indicates that research on the synergistic effects of GHRM and GSCM on TBL performance in developing nations is scarce. The study warrants carrying out empirical validation and provides a clear plan for future research. The exclusive emphasis on Pakistan's textile industry introduces contextual intricacies, facilitating a profound comprehension for implementing sustainable practices within the constraints and opportunities of an emerging economy. [ABSTRACT FROM AUTHOR]

This study aims to explore the complex connection between green supply chain Management (GSCM) practices, relational efficiency, Job satisfaction, and operational efficiency, as well as the overall organizational performance of manufacturing companies. Utilizing a qualitative model as the basis of our study is essential for navigating this terrain. The present study used carefully designed questionnaires for collecting responses from operational-level managers and applied structural equation modeling (SEM) for inferential analysis, offering a detailed insight into the variables affecting organizational performance in GSCM. This study revealed a significant finding about the role of GSCM practices in connecting business performance and environmental responsibility, highlighting the vital link between sustainable business practices and organizational success. Manufacturing companies should acknowledge and manage the intricate relationship between internal and external aspects of GSCM to achieve smooth operational integration while reducing environmental impact. Our study emphasizes the importance of comprehensively analyzing the connection between GSCM practices and organizational performance. It highlights the need to address challenges to implement sustainable practices. By confronting these challenges directly, organizations can realize the complete capabilities of GSCM and strengthen their dedication to environmental responsibility. The research highlights obstacles and proposes a strategic management approach, providing a roadmap for effectively integrating GSCM into organizational structures. Understanding the relationship between business practices and their environmental impacts is crucial as we address climate change and environmental degradation worldwide. This study illuminates the mediating role of GSCM practices. It emphasizes the importance of manufacturing companies adopting a comprehensive approach to incorporating sustainability into their operational framework and promoting environmental resilience and organizational success. [ABSTRACT FROM AUTHOR]

Supply chain management is a multi-dimensional approach. Growing eco-consciousness has forced businesses to optimize operations and incorporate green practices across all the stages of supply chain in manufacturing and service sectors. Reviewing the past research literature propels us to understand its current and future prospects. Employing a systematic analysis, this research explores the intellectual structure of green supply chain practices and their connection to performance outcomes in various industries. This study covers a systematic literature review, content analysis, and bibliometric analysis on green supply chain management using VosViewer. It utilizes a PRISMA-guided screening method for identification, screening, eligibility and inclusion of literature from the literature available since 1999. The bibliometric analysis reveals key contributors, thematic clusters, prevailing theoretical frameworks, and emerging research trends in the domain of green supply chain management. China, followed by the United States and the United Kingdom, emerged as leading contributors to research in this area, driven by rapid economic growth, heightened environmental concerns, and well-established academic and industrial infrastructures. The study identifies eight thematic clusters within green supply chain management, including the triple bottom line, circular economy, and carbon emissions. The most highly cited papers within these clusters were examined for their methodologies, tools, and key findings, highlighting the prominent theories utilized in this field. Moreover, the research discusses how advanced technologies such as AI, blockchain, and big data analytics are poised to transform supply chains by enhancing decision-making and mitigating risks, thus playing a pivotal role in the future of green supply chain management.

Green supply chain management is growing as a key component of sustainability. Its implementation improves the firms’ supply chain competitiveness and performance. The literature on green supply chain management in various organisations has increased over the years. However, contextual literature on green supply chain management, green capabilities and supply chain performance is still limited within the manufacturing sector in developing countries such as South Africa. The study examined the relationships between green supply chain management practices, green capabilities, and supply chain performance in the South African manufacturing sector. The study employed a quantitative method on a sample consisting of 402 supply chain professionals drawn from the manufacturing sector across the four provinces of the country (i.e. Gauteng, Free State, Limpopo, and Mpumalanga). Data were collected over six months in the second half of 2022. Hypotheses were tested using structural equation modelling based on the SMART partial least squares technique. Eco-design, green distribution, and green training impacted positively on green capabilities, the latter of which, in turn, is linked to improved agility, reliability, and reduced supply chain costs. However, green manufacturing, legislation and regulations, reverse logistics, and product returns negatively impacted green capabilities. Green capability significantly mediated the relationships between green training and distribution and eco-design, and supply chain performance. To the management and leadership in the manufacturing sector, the study suggests that the implementation of green supply chain management activities is vital in influencing green capabilities. This study contributes to green supply chain management and capabilities literature as it is one of the few studies exploring green supply chain management practices, green capabilities, and performance in the context of the South African manufacturing sector. It encourages managers to develop and implement policies to improve environmental management practices in manufacturing supply chains.

In the era of globalisation, the use of technology and concerns for sustainability is eminent in the supply chain management practices. The current study focuses on sustainable and green supply practices in different stages of supply chain management and how they can be facilitated by blockchain technology (BT). The study has addressed the existing gaps in the area namely, the lack of research assessing stage-wise green supply chain for environmental performance focusing on BT. The current study aims to assess the impact of BT on different stages of the green supply chain and a firm's environmental performance. The study also focuses on analyzing the impact of green supply chain stages on environmental performance. The study uses PLS-based structural equation modelling approach to investigate the hypothesised relationships between BT adoption and stage-wise green supply chain practices. The data was collected from individuals from medium-sized enterprises from the manufacturing industry in India. The findings reveal a positive association between blockchain adoption and green supply chain management practices leading to enhancement in environmental performance. Furthermore, the study indicates a positive relationship between blockchain integration and different stages of the green supply chain, underscoring its multi-faceted impact on environmental performance. The findings imply that the BT adoption can facilitate the realization of sustainable supply chain practices and performance improvement.

Emerging corporate concerns regarding the environmental climate crisis in recent years have encouraged the use of green supply chain management (GSCM) that aims to reduce environmental damage while maintaining efficiency in the supply chain. It is anticipated that companies will contribute to sustainable performance by gaining a competitive advantage in the market and further strengthening cooperation with supply chain management, thanks to green practices. We tested our research hypotheses using variance-based structural equation modeling (SEM) with survey data collected using a web-based pre-tested instrument from 105 respondents from supply chain employed by various industries in Turkey. The findings indicate that green supply chain management has a positive effect on sustainable performance.