Sustainable Supply Chain Research Articles

Value of blockchain for scope 3 carbon disclosure: The moderating role of data processing technologies

Disclosing carbon emissions in Scope 3 is essential for mitigating pollution and the associated environmental damage, and blockchain can enhance the disclosure. However, the effect of blockchain on Scope 3 carbon disclosure remains unclear due to a lack of empirical evidence. This paper investigates the value of blockchain for Scope 3 carbon disclosure and examines whether this value can be strengthened by integrating data processing technologies, including artificial intelligence (AI), cloud computing, and big data analytics (BDA). Drawing upon the coordination theory, we posit that blockchain as a recording and tracing technology can improve the coordination among supply chain members on collecting carbon emissions data, thereby facilitating firms' Scope 3 carbon disclosure. Furthermore, data processing technologies enable efficient utilization and management of the collected data, potentially coordinating with blockchain to enhance Scope 3 carbon disclosure. We test these relationships using regression analysis based on a sample of 422 observations for Chinese listed firms during 2021 and 2022. The results show that blockchain adoption is positively associated with a firm's Scope 3 carbon disclosure. In addition, adopting each of the three data processing technologies—AI, cloud computing, and BDA—further strengthens the positive relationship. This study contributes to academic knowledge and evidence on blockchain and sustainable supply chain management with practical suggestions for managing carbon emissions at the supply chain level through the combined adoption of blockchain and data processing technologies.

The intersection of green marketing and sustainable supply chain practices in FMCG SMEs

As sustainability increasingly shapes consumer behavior and corporate strategies, Fast-Moving Consumer Goods (FMCG) small and medium-sized enterprises (SMEs) are adopting green marketing and sustainable supply chain practices to gain a competitive edge. This review explores the intersection of these two critical areas, demonstrating how their integration can drive both business growth and environmental responsibility. Green marketing, which focuses on promoting eco-friendly products and sustainable business practices, has become a key tool for FMCG SMEs to differentiate themselves in a crowded marketplace. By adopting strategies such as eco-friendly packaging, ethical sourcing, and transparency in communicating sustainability efforts, SMEs can build stronger consumer trust, foster brand loyalty, and meet the growing demand for environmentally conscious products. Simultaneously, sustainable supply chain practices ensure that the production, distribution, and logistics processes align with environmental and social goals. These practices include reducing carbon emissions, minimizing waste, and working closely with suppliers to ensure ethical sourcing of materials. The synergy between green marketing and sustainable supply chains creates a feedback loop where operational sustainability supports marketing efforts, and consumer demand for green products encourages further sustainability improvements. This review also examines the challenges FMCG SMEs face in aligning these strategies, such as cost barriers, regulatory compliance, and supply chain complexity. Through case studies and industry examples, it highlights how innovative technology and stakeholder collaboration can help overcome these challenges. Ultimately, this study underscores that integrating green marketing and sustainable supply chain practices is not only essential for addressing environmental concerns but also for enhancing competitive positioning, customer satisfaction, and long-term market success in the FMCG sector. Recommendations for SMEs on how to effectively align their marketing and supply chain sustainability efforts are also provided. Keywords: Green Marketing, Supply Chain, FMCG SMEs, Review.

A Comprehensive Evaluation Model for Sustainable Supply Chain Capabilities in the Energy Sector

This study introduces a comprehensive model to evaluate multiple capabilities within the sustainable supply chain evaluation framework. The primary aim is to determine the significance of various capabilities in the context of sustainable supply chains. The research involved a sample of sixteen companies operating in Iran’s energy sector. The findings indicate that the majority of these companies are at level two in terms of capability. Therefore, it is recommended that these companies employ this model to assess their capability levels and identify any existing gaps. Methodologically, a checklist tool was used to refine the criteria using the fuzzy Delphi method. Subsequently, an appropriate model was chosen and developed by reviewing existing evaluation models. The criteria were compared and finalized using the Analytic Hierarchy Process. Finally, the criteria were further refined and validated through a fuzzy expert system, incorporating Adaptive Neuro-Fuzzy Inference System and Fuzzy Inference System. The developed model was then simulated and validated using MATLAB Simulink software (R2017b).

Enhancing Economic, Resilient, and Sustainable Outcomes Through Supplier Selection and Order Allocation in the Food Manufacturing Industry: A Hybrid Delphi-FAHP-FMOP Method

In the food manufacturing industry, which is critical to national economies, there is a growing imperative to meet heightened safety, quality, and environmental standards, particularly in the face of supply chain disruptions. This study addresses the gap in literature by integrating sustainable and resilient supply chain theories with risk management and low-carbon principles into a supplier selection framework. Utilizing the Delphi method, fuzzy analytic hierarchy process (FAHP), and fuzzy multi-objective programming (FMOP), we develop a decision-making model specifically calibrated for the food sector. Initially, the study establishes a comprehensive criteria system encompassing quality, cost, delivery, low-carbon, and risk management through a literature review and expert consultation. Subsequently, FAHP is employed to determine the relative importance of each criterion in supplier selection. Furthermore, FMOP is utilized to develop a decision-making model for optimizing supplier selection and order allocation. Validated through a numerical study based on a Chinese food manufacturer, the framework presents a practical tool for food manufacturers, ensuring supply chain stability while aligning with sustainability objectives. This research refines decision making and strengthens the competitive stance of food manufacturers, significantly propelling the industry’s green transformation.

Exploring sustainable food supply chain management practices to enhance food security

Background: The food industry faces longstanding challenges in meeting sustainability practices within its supply chain, often prioritising commercial obligations and profit motives. However, there is a growing recognition of the critical role that sustainable food supply chain management (SFSCM) practices play in enhancing food security.Objectives: This study aims to establish the significance of SFSCM practices in enhancing food security. Furthermore, the study explores approaches to reduce challenges against implementation of SFSCM practices.Method: The study employed a qualitative approach and used stratified and purposive sampling techniques to interview 22 participants from a population of 9 gatekeeper institutions within the Zimbabwean food industry.Results: The findings highlighted several essential SFSCM practices covering waste management, logistics optimisation, water and energy conservation, employing qualified individuals, carbon emission reduction, corporate social responsibility, cost reduction, pricing efficiency, fair food distribution and continuous consumer taste surveys. Approaches to reduce SFSCM implementation challenges were also identified, and these include stakeholder communication plans, capacity building programmes, integrating sustainability into mission statements, budget allocation, lobbying for government support, and fostering collaborative engagements. Open information sharing was also emphasised.Conclusion: It is concluded that the adoption of identified SFSCM practices by food producers, intermediaries, suppliers, consumers and other stakeholders can significantly enhance food security and minimise hunger in nations.Contribution: This article contributes to the understanding of addressing SFSCM implementation challenges and provides valuable insights into the importance of sustainable practices in improving food security within the Zimbabwean food industry and the world at large.

Sustainable additive manufacturing supply chains with a plithogenic stakeholder analysis: Waste reduction through digital transformation

The Additive Manufacturing (AM) industry is of paramount importance as means of personalized design capabilities by rapid prototyping, using exact amount of required materials avoiding waste, and applying Industry 4.0 technologies with digital transformation ability. The characteristics of AM are regarded as the prerequisites for sustainability in the manufacturing industry. However, there are limited papers discussing the stakeholders and sustainability objectives in a single comprehensive analysis. Hence, the purpose of this research is to identify the degree of each stakeholder to achieve the objective of sustainability in AM supply chain by proposing a novel Plithogenic Fuzzy MACTOR approach. Results reveal that the customers are in triggering position to shape entire AM supply chain as the demand generators. Workforce is a significant player in the AM supply chain by creating the design, manufacturing, marketing, and communicating to provide the collaborations in this business segment. Academia positions here a supportive role to enable the whole supply chain members in terms of delivering technological advancements, training people, and providing the workforce. The AM manufacturers and material / software / printer suppliers are the key players leading to the supply chain by producing the main business products. Thus, a practitioner can interpret its position in the AM supply chain and understand the requirements of sustainability points in detail. Besides, this study provides a theoretical contribution to the literature by extending the MACTOR analysis with Plithogenic sets via including a different uncertainty measure.

SUPPLY CHAIN MANAGEMENT COMO FATOR ESTRATÉGICO PARA A COMPETITIVIDADE E SUSTENTABILIDADE DAS ORGANIZAÇÕES: A IMPORTÂNCIA DA CADEIA DE SUPRIMENTOS PARA A ESTRATÉGIA COMPETITIVA DAS EMPRESAS

This paper has as objetive to introduce a study about the diferents teories that define the supply chain management as strategic factor and its importance to activities develop of sustainable way in organizations. The studies already performed demonstrate the complexity of operations involved and the importance of strategies adopted to serve the consumer Market of compettive way. A literature review was carried out in qualitative way, with the objective of identify main concepts about logistics, supply chain management, competitiviness and sustainability. The estudy provided a conceptual analysis about the theme, allowing to identify tools and methods used that can contribute to sustainable supply chain management. The biblioghaphic review made it possible search for elements that demonstrate the importance of activities that integrate the supply chain system and strategies adopted to the efficient management and competitive to organizations. The search collaborated to raise important questions about the effectiveness of actions in relation to sustentable use of resourses in logistics and supply chain.

Sustainability and risk management in supply chains: a comparative analysis of methods and practices

Sustainability and risk management in supply chains: a comparative analysis of methods and practices

Green Order Sorting Problem in Cold Storage Solved by Genetic Algorithm

This study investigates the efficiency of cold storage warehouses and contributes to sustainable supply chain management by integrating eco-friendly practices into storage operations. In facilities for milk and its derivatives, unregulated order handling significantly increases energy consumption due to frequent door openings in the cooler. To address this challenge, we developed a novel mathematical model aimed at optimizing order sequences and minimizing energy costs, addressing a previously unexplored gap in the literature. A genetic algorithm (GA) was employed to solve this model, with careful consideration of carbon emissions generated during the algorithm’s execution. We utilized the Yates notation, an experimental design technique, to systematically optimize the GA’s parameters, ensuring robust and statistically valid results. This methodology enabled a thorough analysis of the factors influencing energy consumption. The findings enhance energy efficiency in cold storage warehouses, leading to reduced carbon dioxide emissions and fostering sustainable practices within supply chain management. Ultimately, this study successfully integrates green practices into cold storage operations, supporting broader sustainability objectives.

Sewage Treatment Equipment Supply Chain Collaboration and Resilience Improvement Path Analysis: Collaborative Decision-Making, Information Sharing, Risk Management

Since the dawn of the 21st century, supply chains (SCs) have faced an array of unprecedented challenges, encompassing economic volatility, escalating geopolitical conflicts, intensified trade disputes, and persistent environmental degradation. These challenges have imposed immense pressures on SCs, amplifying both the risks and occurrences of disruptions. In response to these critical demands, there has been a substantial increase in academic, industrial, and governmental focus on the resilience and recovery capabilities of SCs. In this context, the supply chain (SC) for sewage treatment equipment has been significantly affected. This study aims to systematically investigate collaborative strategies and mechanisms for bolstering the resilience of manufacturing SCs within the sewage treatment sector, with particular attention to collaborative decision-making, information sharing, and risk mitigation throughout the SC lifecycle. Following a comparative analysis of various methodologies, this paper employed the structural equation model (SEM) and subsequently conducted a comprehensive survey of manufacturers specializing in glass fiber sewage treatment systems, yielding 385 valid responses. Through this data, a structural equation model was developed to analyze pathways for resilience enhancement. A thorough analysis of the results indicates that Supply Chain Collaboration (SCC) and collaborative decision-making are instrumental in strengthening Glass Fiber Sewage Treatment Supply Chain Resilience (SCR) through the implementation of effective information sharing and risk management practices. These findings contribute to the theoretical framework of SCC and SCR by clarifying the influence of collaborative practices while also providing practical guidance for the governance and strategic management of sewage treatment equipment enterprises and their associated SCs. The conclusions drawn from this study can guide us in establishing a more resilient and sustainable SC ecosystem, making it more directive and capable of mitigating complex disruptions.

“ESG score” vs. “ESG rating”: a conceptual model for the sustainability assessment and self-assessment of European SMEs

This paper aims to contribute to the ongoing discourse regarding the distinctions and application of scoring and rating systems by presenting a conceptual model designed to assess and self-assess small and medium-sized enterprises (hereinafter also “SMEs”) on their sustainability transition. Indeed, SMEs operate in very different economic contexts and have simplified organizational and governance structures. These characteristics can be effectively captured through this conceptual model based on a customized questionnaire tailored to the specificities of SMEs. Following an analysis of existing literature and regulatory frameworks, a conceptual model is proposed that includes a questionnaire that, unlike commonly proposed industry questionnaires, is designed to generate an Environmental, Social and Governance (hereinafter also “ESG”) Score complemented by a forward-looking perspective. This model can be useful for SMEs, as it allows them to self-assess their strengths and weaknesses in the sustainability transition process, highlighting specific needs and suggesting actions to improve their sustainability transition. It also allows banks to make a more accurate assessment of the sustainability of their customers, facilitating the redefinition of green and social credit products according to the needs of SMEs. Additionally, it also supports supply chain leaders in ensuring a sustainable supply chain by facilitating the sustainability assessment of SMEs. This is so that everything complies with the new European Union (hereinafter also “EU”) regulations. Finally, the questionnaire is currently being tested at a local bank and has been proposed to SME suppliers in a specific supply chain. It will be possible to make changes to the questionnaire based on the feedback received during the administration phase.

A novel algorithmic approach to model uncertainties associated with sustainable supply chain management using complex spherical fuzzy soft settings

A novel algorithmic approach to model uncertainties associated with sustainable supply chain management using complex spherical fuzzy soft settings

The Role of Green Risk Management Approaches in Promoting Green and Sustainable Supply Chain Management

The Role of Green Risk Management Approaches in Promoting Green and Sustainable Supply Chain Management

The role of big data analytics in the footwear supply chains: a multiple case study perspective

Purpose This paper aims to analyze the importance of big data analytics (BDA) and supply chain analytics for sustainable supply chain management in all types of enterprises in the footwear industry. The importance and implementation of BDA in supply chain management have been discussed in this research paper, and a conceptual framework is proposed for the implementation. Design/methodology/approach The previous research indicates that the application of BDA and supply chain analytics is the key point to establishing sustainable supply chain management. Even though there are several types of research on the implications of BDA, there is still a gap in practical implications in organizations. For a better understanding, comparison of frameworks has been done for literature support. Further, 11 in-depth, semi-structured interviews have been conducted with four organizations from the footwear industry, and a conceptual framework has been proposed. Findings This research demonstrates an important gap in the literature through a thorough investigation of how firms can improve operational efficiency and productivity through the framework application and whether it is feasible to apply this within the global footwear industry or not. In conclusion, the research has denoted that despite lack of understanding related to sustainability agendas and not having proper ERP or BDA systems, the organizations operating in Pakistan still met some standards of sustainability and are moving toward achieving more. Research limitations/implications The research has pointed out the importance of the integration of all stakeholders in the supply chain through a proposed framework that aligns and guides the stakeholders so that the policies and other constraints may be taken into consideration while revising sustainable supply chain strategies. Practical implications This study will help increase sustainability through the application of BDA technology, which will benefit various stakeholders, particularly those in the footwear industry. Originality/value This study has proposed a framework based on three stages of the implementation of BDA in the existing supply chain to maintain and achieve sustainability in the organization in the footwear industry. This three-stage framework covers many aspects that were not covered in the literature before.

Optimizing Supply Chain Transparency and Customer Compatibility with AI-Driven Models

As global supply chains become increasingly complex, the adoption of artificial intelligence (AI) technologies has emerged as a critical strategy for enhancing operational transparency and improving customer compatibility. This study investigates the application of AI-driven models in optimizing supply chain performance, focusing on predictive analytics, real-time data integration, and customer-centric personalization. A comprehensive experimental framework was employed, evaluating five distinct AI configurations against four key performance criteria: operational transparency, customer compatibility, cost efficiency, and delivery performance. Results demonstrated that the Real-Time Data Integration Model achieved a 20% improvement in operational transparency, allowing for enhanced visibility into inventory management and more agile responses to dynamic demand fluctuations. Additionally, the Customer-Centric Personalization Model increased customer satisfaction by 10%, emphasizing the critical role of tailored service delivery in modern supply chain management. The Cost Optimization Model yielded significant cost reductions, improving cost efficiency by 18%, though it showed a marginal decrease in customer compatibility. The findings highlight the trade-offs between cost efficiency and customer-centric strategies, suggesting that a balance is required to achieve a well-rounded and sustainable supply chain model. This research underscores the transformative potential of AI in driving efficiency, transparency, and customer satisfaction. Future work should explore the integration of advanced technologies such as 5G and further investigate scalable AI solutions capable of addressing the evolving challenges faced by global supply chains.

Adaptive Strategies and Sustainable Innovations of Chinese Contractors in the Belt and Road Initiative: A Social Network and Supply Chain Integration Perspective

As global economic integration and rapid technological advancements transform international business, international engineering contracting has become essential for achieving sustainable development goals (SDGs). This paper investigates the significant impact of China’s strategic initiatives, notably the “Going Global” strategy and the Belt and Road Initiative (BRI), on the operational practices of Chinese enterprises involved in overseas investments. Central to this transformation is the Engineering, Procurement, and Construction (EPC) model, which emphasizes the integration of supply chain management and stakeholder collaboration to enhance performance in international EPC projects and underscores the crucial role of these elements in promoting sustainability. Incorporating insights from social network data analysis, this study reveals that contractors collaborating with various stakeholders—such as owners/consulting engineers, domestic and foreign customs departments, and group headquarters/design parties—exhibit a high degree of similarity in personnel profiles. This suggests that the internal organizational structure and personnel allocation of contractors could be optimized to enhance operational efficiency, aligning with the collaborative patterns identified. This study addresses a critical research gap by exploring how effective supply chain management and collaborative stakeholder engagement within multinational EPC projects contribute to sustainable outcomes. Employing advanced social network analysis software, the research examines the complex interactions among stakeholders and their influence on procurement dynamics. Findings indicate that strong relational networks and strategic collaborations significantly enhance procurement efficiency and project success, underscoring the importance of supply chain integration. Ultimately, integrating supply chain management principles into the EPC model not only offers innovative perspectives for advancing sustainability in international projects but also provides actionable insights for improving project outcomes within the BRI framework. This research underscores the pivotal role of supply chain organization and stakeholder cooperation in achieving sustainability objectives, thereby enriching the discourse on sustainable enterprise operation and supply chain management in the context of global initiatives.

Application of Optimization Models in Sustainable Supply Chain Management: A Systematic Review Based on PRISMA Guidelines

Application of Optimization Models in Sustainable Supply Chain Management: A Systematic Review Based on PRISMA Guidelines

Exploring the adoption and long-term effects of ChatGPT in a sustainable supply chain

Exploring the adoption and long-term effects of ChatGPT in a sustainable supply chain

A System Dynamics Supply Chain Analysis for the Sustainability Transition of European Rolled Aluminum Products

This research presents a system dynamics model to study the interaction among demand and supply evolutions, government regulations, sustainable adoption trends, investments in different decarbonization technologies, and environmental requirements for the European Aluminum Rolled Product Supply Chain (ARPSC). It allows stakeholders to assess the quantitative impact of investing in decarbonization technologies on supply chain sustainability. Investing in decarbonization technologies reduces greenhouse gas (GHG) emissions. The most substantial GHG emission reductions can be achieved if upstream ARPSC actors invest according to an aggressive investment strategy between 2031 and 2040. However, even with an aggressive investment strategy, investing in decarbonization technologies alone is likely to be insufficient to achieve the European Green Deal goals. Furthermore, barriers to investment in decarbonization technologies and a low rate of progress in doubling the European Union’s circularity rate may put extra stress on achieving the European Green Deal goals for the European ARPSC. Instead, ARPSC actors will additionally need to optimize the recycling of aluminum rolled products and adopt strategies for resource sufficiency, e.g., by sharing cars and using packaging multiple times.

Sustainable Strategies for Responsible Fashion: Adopting the Reduce, Reuse and Recycle Practices

The fashion sector, which contributes approximately 10% to global carbon emissions, exerts a considerable influence on the environment. The rapid pace of fast fashion has intensified both waste generation and resource utilization, thereby rendering sustainable practices an essential requirement. This study examines sustainable methodologies within the fashion industry, with particular emphasis on the implementation of the Reduce, Reuse, and Recycle (RRR) framework. The article explores how global and local brands in Delhi incorporate such strategies into their operations and gauges consumer awareness and behavior towards sustainable fashion. Studies indicate that barriers faced by brands while trying to achieve sustainability include the high price tag of sustainable materials, minimal recycling facilities, and the price sensitivity of the consumer. Hypothesis testing was used to examine whether the consumer behavior was significant on their purchasing decisions and sustainability. The results reflected that, while there is indeed a growth in awareness, consumers' intentions and actual purchasing behaviors seem to be quite divergent concerning the acceptance of sustainable fashion. Furthermore, the paper makes workable recommendations to make the fashion industry more sustainable by focusing on policy measures, innovations in brands, and education for the consumer. Key Words: sustainable fashion, reduce reuse recycle, consumer behavior, competitive advantage, supply chain sustainability