Supply Chain Management in Renewable Energy Projects from a Life Cycle Perspective: A Review

Climate change is a global challenge today that has been highly considered due to the wide impacts on different sectors of a society. That is why the use of renewable energy for countries and communities should be considered. In addition, the limitation of fossil fuels and the problems incurred by greenhouse gas emissions have made it increasingly important to make renewable energy more attractive. Sustainable energy means continuous supply of energy for today's needs without compromising the ability of future generations to meet their needs. Sustainable energy technologies include renewable energy sources such as hydroelectric power, solar energy, wind energy, geothermal energy, synthetic photo center and wave energy, as well as technologies designed to improve energy efficiency. Thus, this article discusses the development and performance of renewable supply chain energy in Iran. A strategic model is proposed and investigated to cover various aspects of sustainable renewable energy within a supply chain configuration integrated with machine learning method for quantification purpose. The novelty is on integrating machine learning and strategic plan to handle sustainability indicators within a renewable energy supply chain. The study also provides managerial insights to governments, researchers and stakeholders for the initiation of renewable energy use and suggestions for overcoming the barriers to its developments.

Purpose This study aims to explore the interplay between supply chain collaboration and disruption and their joint impact on supply chain resilience. It also aims to identify the configurational conditions under which supply chain resilience is achieved, providing a holistic framework for enhancing supply chain management practices amidst disruptions. Design/methodology/approach This study uses a fuzzy-set qualitative comparative analysis (fsQCA) to investigate the complex causal mechanisms linking supply chain collaboration and disruption with supply chain resilience. The research integrates three dimensions of collaboration with three dimensions of disruption, offering a comprehensive understanding of supply chain resilience factors. Findings This study reveals that supply chain resilience is not solely dependent on individual elements but is shaped by unique configurations of collaboration and disruption factors. Information sharing emerges as a core factor in high resilience, while the absence of supply and facility disruptions significantly influences resilience outcomes. The research highlights the importance of multiple paths leading to supply chain resilience and the asymmetrical impact of collaboration and disruption. Research limitations/implications The study acknowledges limitations due to data sourced exclusively from China and the use of static data, suggesting the need for cross-temporal and international samples to enhance broader applicability. Future research should consider dynamic temporal changes and diverse theoretical perspectives to comprehensively examine the factors influencing supply chain resilience. Practical implications The research underscores the critical role of information sharing in bolstering supply chain resilience and advises firms to prioritize it in their strategies. It also highlights the importance of mitigating supply and facility disruptions through supplier diversification and robust contingency planning, offering actionable insights for enhancing operational efficiency and risk management in supply chain management. Social implications This research has significant social implications, particularly in the context of global supply chain disruptions. By identifying key factors that enhance supply chain resilience, it can help businesses better prepare for and respond to crises, thereby reducing economic instability and social disruption. Improved resilience can lead to more stable employment, maintain the flow of essential goods and services and contribute to overall societal well-being during times of supply chain stress. Originality/value This study offers original insights by applying fsQCA to explore the multifaceted relationship between supply chain collaboration, disruption and resilience. Its value lies in revealing the complex causal configurations that lead to high or low levels of supply chain resilience, challenging traditional linear perspectives and providing a nuanced understanding that can guide both academic research and practical supply chain management strategies.

In the face of global competition, competitive enterprises should pursue sustainable development, and strengthen their supply chain resilience to cope with risks at any time. In addition, big data analysis has been successfully applied in a variety of fields. However, the method has not been applied to improve supply chain resilience in order to reduce sustainable supply chain risks. An approach for enhancing the capabilities of big data analytics must be developed to enhance supply chain resilience, and mitigate sustainable supply chain risks. In this study, a decision framework that integrates two-stage House of Quality and multicriteria decision-making was constructed. By applying this framework, enterprise decision-makers can identify big data analytics that improve supply chain resilience, and resilience indicators that reduce sustainable supply chain risks. A case study of one of China’s largest relay manufacturers is presented to demonstrate the practicability of the framework. The results showed that the key sustainable supply chain risks are risks regarding the IT infrastructure and information system efficiency, customer supply disruptions, transport disruptions, natural disasters, and government instability. To reduce risk in sustainable supply chains, enterprises must improve the key resilience indicators ‘financial capability’, ‘flexibility’, ‘corporate culture’, ‘information sharing’, and ‘robustness’. Moreover, to increase supply chain resilience, the following most important big data analysis enablers should be considered: ‘capital investment’, ‘building big data sharing mechanism and visualisation’, and ‘strengthening big data infrastructures to support platforms and systems’. This decision framework helps companies prioritise big data analysis enablers to mitigate sustainable supply chain risks in manufacturing organisations by strengthening supply chain resilience. The identified priorities will benefit companies that are using big data strategies and pursuing supply chain resilience initiatives. In addition, the results of this study show the direction of creating a fruitful combination of big data technologies and supply chain resilience to effectively mitigate sustainable risks. Despite the limited enterprise resources, management decision-makers can determine where big data analysis enablers can be most cost-effectively improved to promote risk resilience of sustainable supply chains; this ensures the efficient implementation of effective big data strategies.

In the context of digital transformation, Total Supply Chain Management (TSCM) has emerged as an integrative approach that extends beyond traditional supply chain management paradigms to address the complexities of today's global markets. This study introduces the CSISO (Co-opetition, Strategy, Innovation, Social Responsibility, and Operations) model, a novel conceptual framework that uses traditional Chinese cultural symbols to illustrate the multifaceted nature of TSCM. The CSISO model leverages the symbolic elements of Chinese opera masks—ears, eyebrows, eyes, nose, and mouth—to represent core dimensions of supply chain management. This integration of cultural symbols provides a unique and intuitive tool that enhances both the academic understanding and the practical application of supply chain strategies. Employing a multidisciplinary, multi-sectoral, and multilevel approach, TSCM facilitates the seamless integration of various supply chain components, encompassing competition and cooperation, strategic planning, technological innovation, social responsibility, and operational efficiency. The application of cultural symbols within the CSISO model not only enriches the theoretical framework of supply chain integration but also offers practical managerial implications. Managers can use the CSISO model to better communicate and implement comprehensive, culturally informed supply chain strategies, thereby fostering enhanced collaboration, innovation, and sustainability within their organizations. This study makes several contributions: it offers a comprehensive framework that aligns with contemporary supply chain needs by integrating cultural insights with modern management practices; and it extends the theoretical foundation of supply chain integration by incorporating the latest advancements in technology and organizational behavior. The findings suggest that adopting a TSCM approach not only improves efficiency and effectiveness but also fosters sustainable and resilient supply chains in a rapidly evolving global environment. By embedding cultural dimensions into supply chain management, the CSISO model provides a novel perspective that enhances strategic decision-making and operational practices, ultimately driving overall business performance.

This chapter explores the evolving dynamics of solar and wind energy supply chain collaboration between China and the Gulf Cooperation Council (GCC) states. It examines the structure and trends in renewable energy markets across the GCC and China, identifying both opportunities and vulnerabilities in their interdependence. Drawing on a detailed case study of Masdar, a leading United Arab Emirates (UAE)-based renewable energy developer, the chapter analyzes strategies for managing supply chain risks, including diversification, localization, and sustainability. Despite China’s dominance in solar photovoltaics (PV) and wind equipment manufacturing, GCC countries are advancing local content policies and investment initiatives to enhance energy security and economic diversification. The chapter also outlines policy recommendations to improve resilience in China–GCC supply chains—ranging from joint research and development (R&D), recycling, and labor upskilling to industrial clustering and certification harmonization. These strategies aim to build a more secure, sustainable, and mutually beneficial renewable energy partnership that supports broader climate and development goals in both the GCC and China.

PurposeThe COVID-19 crisis has caused major supply chain disruptions, and these can be traced back to basic supply chain risks that have previously been well identified in literature. The purpose of this paper is to suggest a pathway for closing the gap between supply chain resilience research and efforts in industry to develop a more resilient supply chain.Design/methodology/approachBased upon virtual roundtables with supply chain executives, supplemented with interviews and publicly available datapoints about COVID-19 impact on the supply chain, we explore challenges in industry and suggest opportunity areas where research can support efforts in industry to improve supply chain resilience.FindingsDuring the COVID-19 crisis, participating supply chain executives are experiencing textbook supply, demand and control risks in the supply chain. They also observe a lack of preparedness, shortcomings of current response plans and the need for greater supply chain resilience. Focus areas in improving resilience mirror generic recommendations from literature and provide a rich opportunity to reduce the gap between research findings and efforts in industry.Research limitations/implicationsMore empirical, event-based and less conceptual research into supply chain resilience has been called for several times during the last two decades. COVID-19 provides a very rich opportunity for researchers to conduct the type of research that has been called for. This research may contribute to the structurally de-risking of supply chains. Areas of research opportunity include decision models for supply chain design that avoid overfocusing on costs only, and that consider the value of flexibility, short response times and multiple sources as well as methods for enriching supplier segmentation and evaluation models to reduce a focus on savings and payment terms only.Practical implicationsKey levers for de-risking the supply chain include the need to balance global sourcing with nearshore and local sourcing, the adoption of multiple sources and a greater utilization of information technology to drive more complete and immediate information availability. Perhaps most importantly, talent management in supply chain management needs to promote a focus not just on costs, but also on resilience as well as on learning from current events to improve decision-making.Social implicationsThere is a great opportunity for supply chain managers to grow their contribution to society beyond risk response into the proactive reduction of risks for the future. Researchers can serve society by informing this progress with impactful research.Originality/valueThis article offers initial empirical exploration of supply chain risks experienced in the context of COVID-19 and approaches considered in industry to improve supply chain resilience. Opportunities for empirical, event-based and less conceptual research that has been called for years, are identified. This research can help close the gap between supply chain resilience research and efforts in industry to improve supply chain resilience. Hopefully the research opportunities identified can inspire the flurry of research that can be expected in response to the multiple special issues planned by journals in our field.

There has been considerable recent growth in supply chain (SC) traceability research due to increased Industry 4.0 solutions and the potential of traceability systems to enable SCs to bounce back from a crisis, thereby having a long-term impact on firm/SC performance. However, to date, the relationship between SC traceability and SC Resilience (SCRes) has not been fully explored. Using a systematic literature review, this paper first provides a comprehensive state-of-the-art understanding of traceability to enable an appreciation of the inherent benefits of its implementation and its role in the improvement of SCRes. Building on this understanding, a conceptual framework is developed showing that there is a direct relationship between traceability benefits, such as improved risk awareness, and SCRes. The framework also demonstrates indirect relationships between these benefits and four enablers of SCRes: flexibility, velocity, visibility and collaboration. Finally, a future research agenda is proposed, including further development of this conceptual framework.

Digital technologies have become a cause célèbre among academics and practitioners as great tools capable of building resilient and sustainable supply chains. This chapter provides an overview of the recent developments in data analytics applications in supply chain resilience (SCR) and supply chain sustainability (SCS). There has been an exponential growth of literature on data analytics applications for SCR and SCS, with a particularly notable increase observed since 2015. In this systematic literature review, we find that both SCR and SCS research are concentrated around five main themes: (1) data analytics capabilities, (2) role of Industry 4.0, (3) blockchain adoption, (4) big data analytics, and (5) machine learning. Closed-loop supply chain design and circular economy are of unique focus in SCS, while digital twin only emerged as a research theme in SCR research. The underlying themes in SCR contexts are more dispersed than in SCS, mostly due to the comparative maturity of SCS research. In light of the promising developments in data analytics applications for SCR and SCS, promising avenues for future inquiry are the design of effective data-sharing incentive mechanisms, and the utilization of big data from social media platforms, yielding valuable insights for both research and practitioners.

Measuring the influence of digital twins on the sustainability of manufacturing supply chain: A mediating role of supply chain resilience and performance

Asian economies are often characterized as having bank-dominated financial systems and underdeveloped capital markets, in particular with regard to venture capital. In economies that banks are the main source of funding, the main obstacle for financing infrastructural projects including renewable energy (RE) projects is lack of access to long-term finance. The second obstacle for development of RE energy projects is their lower rate of return comparing to fossil fuel projects as more subsidies are globally going to fossil fuels. For larger RE projects insurance and pensions are sustainable financing alternatives. Pension funds and insurance companies hold long-term savings, so these institutions could be a proper alternative for financing mega-size RE projects. In addition, utilizing the spillover effects originally created by energy supplies in form of tax revenues refund to RE projects will increase their rate of return and make them interesting for private investors. For smaller-size RE projects, the paper provides a theoretical model for combining utilisation of carbon tax and a new way of financing risky capital, i.e., Hometown Investment Trust Funds (HITs). The paper theoretically shows that by environmental taxation and allocating these tax revenues to HITs, RE projects will become more feasible and more interesting for private investors; hence the supply of investment money to these funds will increase.

Pig sector in China is faced with high risks, such as price fluctuation and food safety, and environmental regulation uncertainty. The recent African swine fever has caused public panic and drop down of pork consumption in a short term. The “wu-shui-gong-zhi” policy is a newly recognized environmental policy risk, and its key content is to shut down directly the pig farms close to water resources. Lots of small- and medium-sized farms have been affected, especially in coastal provinces. Supply chain integration received wide attention in supply chain management. Literature has shown that a well-coordinated food supply chain will bring positive outcomes for chain stakeholders. However, the relationship between food supply chain integration and resilience is not empirically captured. This research aims to explore the relationship between supply chain integration and supply chain resilience, and the mechanism of how supply chain integration works on supply chain resilience. To achieve the research purpose, an in-depth ethnographical case study is performed. Four cases in China’s pig sector were selected, with different types of supply chain integration between cooperative and companies. They differ in supply chain resilience levels. We found that supply chain integration has a positive effect on supply chain resilience through agility and robustness. Supply chain agility also has positive relationship with supply chain robustness. It implies that supply chain stakeholders should efficiently exchange information, enhance circulation rate, and jointly make plans to be more resilient to risks. The government needs to make policies to encourage and facilitate supply chain integration among supply chain members to enhance supply chain resilience.

In recent years, the transition to a more sustainable and clean system has focused on the accelerated development of renewable energy technologies. This transition can be perceived as a major priority, especially with the current environmental concerns, threatening various aspects of human life. The objective of this article is, therefore, to highlight the role of the supply chain in the renewable power generation sector. In this context, a detailed assessment of the supply chain contribution to the renewable energy sector is presented. Next, the performance of the renewable energy supply chain is qualitatively evaluated by illustrating the various barriers against continuing development, and the key measures are recommended to overcome these barriers. Then, the main factors influencing the performance of the supply chain are identified and key performance indicators related to the renewable energy supply chain are established to achieve high efficiency and sustainability performances in the power sector.

Abstract
 Purpose: The aim of the study was to investigating the effects of sustainability initiatives on supply chain resilience and performance
 Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
 Findings: The investigation into sustainability initiatives' effects on supply chain resilience and performance revealed significant benefits. Companies that integrated sustainable practices into their supply chain operations experienced improved resilience against disruptions, such as natural disasters or supply chain disruptions. Additionally, these initiatives often led to enhanced operational performance, including cost savings, efficiency improvements, and better relationships with stakeholders. Overall, the findings suggest that integrating sustainability into supply chain management can contribute positively to both resilience and performance outcomes.
 Unique Contribution to Theory, Practice and Policy: Resource-based view (RBV) theory, institutional theory & contingency theory may be used to anchor future studies on investigating the effects of sustainability initiatives on supply chain resilience and performance. Practitioners should prioritize the implementation of integrated sustainability strategies that align with organizational goals and supply chain objectives. Policymakers play a critical role in creating an enabling environment for sustainable supply chain management practices.

PurposeDespite the economic growth in Ghana, the manufacturing industry faces numerous challenges in their supply chains. The study aims to investigate the mediated-moderated role of supply chain technological innovation (SCTI) in the relationship between supply chain resilience (SCR) and supply chain performance (SCP) of manufacturing firms. By exploring this relationship, the study seeks to provide insights that can help manufacturing firms overcome the challenges they face and improve their overall supply chain performance.Design/methodology/approachThe quantitative research approach and explanatory research design were utilised. A sample of 345 manufacturing firms was drawn from a population of 2495 manufacturing firms in the Accra metropolis. Analysis of this study was performed using the Partial Least Squares Structural Equation Modelling (PLS-SEM).FindingsIt was revealed that SCTI positively mediates the nexus between SCR and SCP. However, we document that SCTI negatively moderates the nexus. It is instructive to advocate that a mere presence of a more enhanced SCTI is not enough to improve upon SCP of manufacturing firms, but should be a channel through which SCR can improve SCP.Practical implicationsThis study highlights the need for managers of firms to prioritise investment in technological innovation as a means of enhancing SCR and ultimately improving supply chain performance. By understanding the SCTI mediated-moderated relationship between SCR and SCP, supply chain managers, logistics managers, operation managers, as well as procurement managers can develop more effective strategies to optimise their operations. This study provides valuable insights for managers and policymakers in developing and implementing supply chain resilience strategies that take into account the important role of SCTI.Originality/valueThe originality of the study lies in exploring the mediated-moderated effect of technological innovation on the nexus between resilience and performance of supply chains in developing economies, where firms often face unique challenges such as infrastructure limitations, political instability and economic uncertainty. By investigating the interplay of SCTI between SCR and SCP, researchers can develop new insights and strategies to help navigate these challenges and achieve success.

Resilience enables companies to manage supply chain disruptions and continue delivering their products and services to customers. The purpose of analyzing and managing supply chain resilience is to prevent a transition to an undesirable state, that is, a situation in which failure modes may occur. Therefore, understanding the factors influencing the establishment and enhancement of supply chain resilience is of particular importance to organizational managers. The aim of the present study is to design a resilient supply chain model with a focus on financial outcomes at Mobarakeh Steel Company. The statistical population of this research includes 280 managers and supervisors from Mobarakeh Steel Company. Data collection was conducted through interviews and questionnaires, and inferential statistics along with structural equation modeling were employed to test the hypotheses. The findings of the study revealed that the factors and components influencing supply chain resilience include transformational supply chain leadership, resource-based dynamic capability, digital tools, partner dissatisfaction, customer relationship, communication quality, supply chain flexibility, supply chain robustness, supplier relationship, information processing capability, digital marketing orientation, supply chain reciprocity, knowledge-based dynamic capability, supply chain integration, and environmental dynamism. Among these factors, transformational supply chain leadership, resource-based dynamic capability, digital tools, partner dissatisfaction, customer relationship, communication quality, supply chain flexibility, supply chain robustness, supplier relationship, and information processing capability were found to significantly influence supply chain resilience. Moreover, the results indicated that supply chain resilience has a positive and significant impact on financial performance.