Green Supply Chain Research Articles

Sustainable development goal 12 and its synergies with other SDGs: identification of key research contributions and policy insights

The relationships of SDG 12 (responsible consumption and production) with other sustainable development goals (SDGs), both direct and indirect, necessitate a systematic analysis to understand its pivotal role in achieving other SDGs. This work focuses on a threefold investigation through a scientometric framework. Initially, the study sought to map and analyze the naturally formed linkages between SDG 12 and other SDGs by examining the literature specifically devoted to SDG 12, thereby revealing the SDGs that are strongly linked to SDG 12. The subsequent phase of the investigation identified prominent topics related to SDG 12 that require detailed exploration. Finally, the selected topics are mined through a methodical approach termed flow vergence gradient analysis, allowing for the revelation of significant contributions within each topic. Through the analysis of the SDG linkage map, SDG 13 (climate action), SDG 7 (affordable and clean energy), SDG 11 (sustainable cities and communities), and SDG 15 (life on land), among others, were recognized as closely linked to SDG 12. Following this identification, five major topics—Industrial Symbiosis, Electronic waste, Carbon emissions, Life Cycle Assessment, and Green products—were deemed suitable for comprehensive mining to extract pivotal contributions. As policy recommendations, adopting a multifaceted approach to e-waste management and sustainable practices is imperative. Implementing consumption-based accounting (CBA) to achieve SDG 12 holistically will be useful. Businesses must align with circular economy principles, minimize hazardous materials, and adhere to low-emission, green supply chain practices. The emphasis is also on the need for proactive R&D collaboration with academia to meet SDG 12 targets, alongside engaging in community awareness through corporate social responsibility initiatives.

Green Supply Chain Management: Practices and Drivers in the Ethiopian Leather and Leather Product Industry

Green Supply Chain Management: Practices and Drivers in the Ethiopian Leather and Leather Product Industry

Effectiveness of Facility Management in Achieving Carbon Neutrality in the Green Building Industry Supply Chain

Effectiveness of Facility Management in Achieving Carbon Neutrality in the Green Building Industry Supply Chain

A TOE-DCV approach to green supply chain adoption for sustainable operations in the semiconductor industry

Semiconductor industry plays a critical role for the global economy. Semiconductor industry provides various necessary technologies such as IoT, AI, modern fabrication technologies and so on to various industries including automotive industry, electronic and communication industry, healthcare industry, construction and building industry, space industry, and so on. However, semiconductor supply chain experiences various supply chain related risks and challenges because of its procedural complexities, global supply chain integrations, government policy and regulations, competitiveness, technological complexities, and so on. Not many studies available which investigated the risk, resilience, and complexities regarding green supply chain adoption by semiconductor industry. In this context, the objective of this study is to examine the risks, resilience, and complexities for managing the green supply chain adoption for higher sustainability in the semiconductor industry. Utilizing the TOE framework (Technology-Organization-Environment) and DCV (Dynamic Capability View), we developed a research model to achieve this purpose. Subsequently, this model was validated through structural equation modelling, involving 356 respondents affiliated with the semiconductor industry. This study highlights that technological risk aspects comprising of technological turbulence and risk, compatibility and complexity, organizational dynamic capabilities, and resilience along with appropriate policy and regulations could help successful adoption of green supply chain management in the semiconductor industry.

Waste Reduction and Recycling: Schweizer-Sklar Aggregation Operators Based on Neutrosophic Fuzzy Rough Sets and Their Application in Green Supply Chain Management

Green supply chain management (GSCM) is a valuable application that is used to reduce the overall environmental impact of the supply chain. Waste reduction and recycling are crucial components of sustainable technique that aims to reduce ecological impact and encourage reserve effectiveness. In this manuscript, we initiate the technique of Schweizer-Sklar (SS) operational laws based on neutrosophic fuzzy rough (NFR) values for SS t-norm (SSTN) and SS t-conorm (SSTCN). Further, we derive the NFR SS weighted averaging (NFRSSWA) operator and the NFR SS weighted geometric (NFRSSWG) operator. Some basic properties for the above-initiated techniques are derived. Additionally, we describe the application in green supply chain management, called waste reeducation and recycling based on initiated operators in multi-attribute decision-making (MADM) problems. Finally, we illustrate an example for comparing the ranking values of the proposed techniques with the ranking values of the existing technique to enhance the worth of the derived theory.

Green production investment policy and financing format selection for a capital-constrained manufacturer

This paper discusses the financing strategy and green production investment decisions within a green supply chain consisting of a capital-constrained manufacturer and a retailer. The paper first develops a game model between the manufacturer and the retailer based on the manufacturer’s investment strategies and financing choices, including bank financing and retailer credit financing. Then, a comparative analysis is conducted on the optimal financing decisions of the manufacturer between the two choices. The results show that with sufficient initial capital, the manufacturer opts for green production. In scenarios with insufficient initial capital, the optimal financing-investment strategies are contingent upon financing rates, initial capital, and investing effects. When the manufacturer selects common products, the requirements for financing interest rates in bank financing are more relaxed. The requirements for financing interest rates of retailer credit financing are more relaxed when green products are selected. In addition, the manufacturer tends to select retailer credit financing when the difference in financing rates is small or when the initial capital is limited. Moreover, the choice of financing format for green products should also factor in the investment effect. Finally, the paper explores the manufacturer’s hybrid financing strategy and operational strategy when producing two types of products.

Green innovation drives globalization: a longitudinal case study of Angel Yeast’s evolution from a start-up to a world-class manufacturer

In the increasingly competitive global market, emerging market companies, represented by China, have shown mixed performance during their development process. Many companies grow rapidly in the early stages of development but cannot maintain long-term growth. How to achieve sustainable development has become a major challenge for emerging market companies, and green innovation is considered an effective way to address this issue. Based on the resource-based view, this paper conducts a longitudinal case study on Angel Yeast as the research subject, dividing the development process of Angel Yeast into three stages: the start-up period (1986-2000), the growth period (2000-2010), and the maturity period (2010-present), discussing how Angel Yeast has grown from a small start-up company to a world-class manufacturer. The study finds that Angel Yeast has utilized its unique resources at different stages of development for green technology innovation, green product innovation, green management innovation, green marketing innovation, green supply chain management, and green organizational culture construction, enabling Angel Yeast to gain a sustained competitive advantage and grow into a global leader in the yeast industry. This paper expands the research on the evolution of emerging market companies under the resource-based view theory and enriches the understanding of the role of green innovation in the growth process of enterprises.

Green supply chain management and sustainable performance: exploring the role of green ambidexterity innovation and top management environmental awareness

PurposeThis research focuses on analyzing the impact of Green Supply Chain Management (GSCM) on the Sustainable Performance (SP) of Spanish wineries, as well as the mediating effect of Green Ambidexterity Innovation (GAI) and the moderating role of Top Management Environmental Awareness (TMEA) on the main relationship posited (GSCM-SP). In addition, age, size and membership in a Protected Designation of Origin (PDO) were used to increase the precision of the cause-effect relationships examined.Design/methodology/approachThe study proposes a conceptual model based on previous studies, which is tested using structural equations (PLS-SEM) with data collected from 196 Spanish wineries between September 2022 and January 2023.FindingsThe results of the research reveal the existence of a positive and significant relationship between the development of GSCM and SP of Spanish wineries, as well as the partial mediation of GAI and the positive moderation of TMEA in this linkage.Originality/valueThe novelty of this study lies in its exploratory approach, as it ventures into new research territory by examining the mediating effect of GAI and the moderating influence of TMEA on the relationship between GSCM and SP, being, to the authors' knowledge, the first research to investigate these specific dynamics.

The Impact of Green Supply Chain Management Practices on Return on Equity : A Comparative Study between the United States and China

The primary aim of this study is to assess the relationship between Green Supply Chain Management (GSCM) practices and the Return on Equity (ROE) of industrial sector firms in the United States and China during the implications of the US-China Trade War. Principal Component Analysis and Random Effects Regression Analysis are employed to empirically test the impact of four Green Supply Chain Management practices which are: Internal Environmental Management, Green Purchasing, Eco Design, and Customer Cooperation on ROE. A sample of 50 firms in the US and 50 firms in China is employed to test the hypothesized relationships. Findings suggest that there is a significant positive relationship between Eco Design and ROE in both countries. However, a significant negative relationship between Internal Environmental Management and ROE is concluded in China only. This research contributes to identifying out and classifying the reported practices of the Green Pillar in firms’ Environmental, Social and Governance (ESG) reports under their related Green Supply Chain Management practices to provide a theoretical framework and facilitate future research. This paper proposes that policy makers, managers, and practitioners should accept sustainability as a strategic priority prior to implementing Green Supply Chain Management and suggests that firms should be confident of the long-term profitability of implementing Green Supply Chain Management practices.

Green supply chain management (GSCM): rethinking implementation barriers based on fuzzy dematel method in the textile industries of Bangladesh

Green supply chain management (GSCM): rethinking implementation barriers based on fuzzy dematel method in the textile industries of Bangladesh

Research on pricing strategies for competitive green supply chain based on corporate social responsibility

With the increasing public awareness of environmental protection, corporate social responsibility has become an important component of sustainable development and competitive advantage for many enterprises. Although there are many studies on corporate social responsibility in the supply chain, there is still a lack of research on the impact of corporate social responsibility on various decision-makers in the competitive green supply chain dominated by upstream enterprises. Therefore, taking into account the greenness and corporate social responsibility, the paper proposes three Stackelberg game models with the two-echelon supply chain consisting of two competing manufacturers and one socially responsible retailer. We develop a series of propositions and corollaries to determine the optimal solutions and offer some managerial insights. The main novelties and contributions of the paper can be demonstrated in two aspects. First, the paper simultaneously considers the impact of competition intensity and CSR level on wholesale prices, retail prices and greenness level. Second, the paper discusses the impact of two manufacturers with different market positions investing in green products on the profits and utility of supply chain members. Numerical illustrations prove that the level of corporate social responsibility is negatively correlated with retailer profitability and the retailer achieve the highest profits when sub-dominant manufacturer produces green products.

Research on green supply chain finance risk identification based on two-stage deep learning

As a resonance product between financial services and the upgrading of the green industry, green supply chain finance has garnered extensive attention in the process of ecological civilization construction. Effectively promoting the green transformation of small and medium-sized enterprises and achieving the "dual carbon" goals necessitate the avoidance of corporate green risks. However, the complex interdependence and information asymmetry among green supply chain finance enterprises result in data characteristics such as multi-source small samples and high-dimensional imbalance. To address these issues, this paper proposes a risk assessment model based on two-stage deep learning. In the first stage, we employ Generative Adversarial Network (GAN) to generate minority class default samples, and utilize Stacked Auto-Encoder (SAE) to extract data features with closed-form parameter calculation capability. In the second stage, the obtained features are input into a Deep Neural Network (DNN), and parameter learning and model optimization are conducted through joint training. Finally, to model low-order feature interactions, we integrate the Support Vector Machine (SVM) algorithm. The paper is grounded in the green innovation production of enterprises, collecting financial data of 176 upstream and downstream enterprises and corresponding core enterprise green indicators from 2013 to 2022. Experimental results demonstrate that GAN oversampling technique not only enhances the model's AUC metric but also significantly improves the F1 score. Compared with traditional deep learning methods, the proposed two-stage deep integration model effectively reduces training loss and exhibits superiority in identifying green supply chain finance risks.

Optimal Markup Pricing Strategies in a Green Supply Chain under Different Power Structures

Fixed-dollar and flexible markups are two markup pricing strategies commonly adopted in the retail industry, but their impacts on green behaviors of enterprises remain unknown. This paper investigates how the two markup pricing strategies influence firms’ managerial behaviors in a green supply chain, considering three power structures: Manufacturer Stackelberg, Retailer Stackelberg, and Vertical Nash. We find that the retailer’s pricing strategy choice is jointly affected by power structures and consumer sensitivity to product green levels. Particularly under Manufacturer Stackelberg, the fixed-markup strategy makes the retailer earn a higher profit. However, under Vertical Nash, the retailer’s pricing strategy depends on consumer sensitivity to green levels. When consumers are less sensitive to green levels, a flexible-dollar markup strategy is more profitable for the retailer; otherwise, the fixed-markup strategy is better. Additionally, for the manufacturer, the green levels of the product and the firm profit are always higher when the retailer adopts a fixed-dollar markup strategy under Manufacturer Stackelberg and Vertical Nash. Interestingly, if the retailer adopts a flexible-dollar markup strategy, the manufacturer has the “late-mover advantage” only when consumer sensitivity to the green level is high. Furthermore, the supply chain achieves the highest profit when the manufacturer acts as the leader under the fixed markup strategy.

Critical factors of green supply chain management on SMEs business performance Indonesia

The COVID-19 pandemic has altered lifestyle and sparked a greater interest in GSCM. This study logically contributes to the branch of knowledge by demonstrating how resource-based attributes and integration can improve SME business performance while concurrently facilitating the successful transition from traditional to green supply chains. This study focused on batik SMEs that make their products using natural resources. The goal is to analyze SME performance models that affect GSCM, owner commitment, and supply chain connectivity. The data analyzed were gathered from a total of 163 experienced SME managers in the Special Region of Yogyakarta, Indonesia. PLS-SEM is the data analysis method used. The results validate that SME business performance is positively impacted by OC, SCC, and GSCM. The function of OC and SCC in SME business performance can also be mediated by GSCM.

An integrated planning approach for perishable goods with stochastic lifespan: Production, inventory, and routing

This paper focuses on addressing the crucial challenges posed by the uncertainty surrounding perishable goods within the supply chain. With staggering socioeconomic costs and significant environmental implications, effective management of perishable goods emerges as a critical imperative. Globally, the annual loss of approximately 14% of food, amounting to a staggering USD 1 trillion, highlights the urgency of the issue. However, Prevailing classification methods for perishable products oversimplify their complexity by dividing them into fixed or variable lifespans, neglecting the random lifespans endured due to fluctuating storage conditions, blurring traditional boundaries between fixed and variable classifications. In response to these pressing challenges, the research proposes a novel approach: the development of a nonlinear mixed-integer programming model for a green closed-loop supply chain. This innovative model seamlessly integrates production, inventory, and routing decisions for both main and secondary products of a manufacturer. Moreover, it optimizes order splitting and transportation modes to efficiently convert perished items into raw materials under conditions of uncertainty. Central to the approach is the adoption of a scenario-based methodology to model uncertainties, particularly focusing on the variability in the lifespan of perishable products. This approach allows for a more nuanced understanding of the complex dynamics inherent in managing perishable goods within the supply chain. To solve the proposed model, a novel hybrid algorithm is introduced: the Particle Swarm Optimization (PSO) and Simulated Annealing (SA) algorithm, or PSOSA, ensuring robust optimization under uncertainty and enhancing decision-making within the perishable goods supply chain. The research findings underscore the inadequacy of prevailing assumptions regarding the fixed lifespan of perishable products, commonly observed in the literature. By accounting for uncertainty in perishable goods’ lifespan, a more accurate representation of total producer costs is achieved, highlighting the misleading reduction of 25% observed when neglecting such uncertainty.

Impact of Green Entrepreneurial Orientation and Green Human Resource Management Practices on the Sustainable Performance: Mediating Role of Green Supply Chain Management in Manufacturing Pakistan

Impact of Green Entrepreneurial Orientation and Green Human Resource Management Practices on the Sustainable Performance: Mediating Role of Green Supply Chain Management in Manufacturing Pakistan

Green Supply Chain Management and Sustainability: A Proposed Model of Stakeholder Pressure

The aim of the study is to investigate the relationship between green supply chain management practices, stakeholder pressure and sustainability and its dimensions (economic, social and environmental). For this purpose quantitative survey was used. Data was collected form 200 firms in which manufacturing and services industry were included. Nonprobability sampling technique was used. SPSS was sued for analysis of the data. It was found that 200 completed questionnaires were analyzed. Highest mean score was recorded for economic performance followed by the GSCM. Moreover there is significant correlation found between GSCM, stakeholder pressure and sustainability. It is concluded that firms should produce the eco-friendly products and services if concerns are shown by the stakeholders such as customers, creditors, suppliers, employees.

The Moderating Effect of Greenwashing between Green Supply Chain Management Practices and Green Brand Association: A Study of Pakistani Fashion Brand applying the NRBV

The Moderating Effect of Greenwashing between Green Supply Chain Management Practices and Green Brand Association: A Study of Pakistani Fashion Brand applying the NRBV

Quality and Pricing Decisions in a Dual-Channel Closed-Loop Supply Chain Considering Imperfect Product Recycling

Level of quality not only affects demand but also affects the proportion of imperfect products and then affects profit. This paper takes the quality level as a decision variable, considers both the consumer demand and the recovery of imperfect products in a dual-channel closed-loop supply chain (CLSC), and studies the significance of a revenue-sharing contract for coordination. The results show that the relationship between the optimal price and the quality level is affected by the repair cost of imperfect products and that the consumer’s attention to price and quality affects the trend of the overall profit with the quality level. In some cases, simply improving the quality level cannot expand the demand and is not even conducive to the improvement of green supply chain profits. It is also found that in both centralized and decentralized scenarios, coordination contracts can effectively motivate retailers to collect waste and help improve the economic efficiency of green supply chains.

SUSTAINABILITY IN SUPPLY CHAINS: STRATEGIES AND PRACTICES FOR A GREENER FUTURE

Purpose – The purpose of this study is to investigate the critical importance of integrating sustainability practices into supply chain management. It aims to explore strategies and best practices that businesses can adopt to mitigate environmental challenges, reduce greenhouse gas emissions, and transition towards greener supply chains.Implications – The integration of sustainability into supply chain management has far-reaching implications for businesses, the environment, and society. By adopting sustainable practices, organizations can enhance their brand reputation, increase customer loyalty, achieve cost savings, improve risk management, foster innovation, and gain a competitive advantage. Additionally, the adoption of green supply chain practices contributes to environmental conservation, resource efficiency, and the mitigation of climate change impacts.Originality/Value – This study offers a comprehensive analysis of sustainable supply chain practices, with a particular focus on Thailand's manufacturing sector. It provides valuable insights into the challenges and opportunities associated with implementing sustainability strategies across various industries. The research highlights best practices, case studies, and recommendations tailored to the Thai context, enabling businesses to navigate the transition towards greener supply chains effectively. Furthermore, the study emphasizes the significance of Thailand's sustainability efforts in influencing global standards and positioning the nation as a leader in responsible manufacturing practices.