Artificial Intelligence leads to Circular Economy: A Bibliometric Review and Future Agenda

Toward a circular economy: The role of digitalization

Toward a circular economy for plastics

Subject. We investigate the potential for integration of ecosystem approaches to "nature-based solutions" and circular economy aimed at sustainable development. Objectives. The focus is on implementation of principles of circular economy and "natural solutions" as important elements of the sustainable development plan. Methods. We employ analytical and logical methods, theoretical and practical issues of sustainable development in the context of concepts of circular and natural economy. Results. We address the evolution of the circular economy concept, emphasize that it cannot support sustainability, if social processes are ignored. The paper explores the intersection points of the circular and green economy. It shows that ecosystem approaches result in environmental, social, and economic benefits. The potential of achieving sustainability through the synergy of "nature-based solutions" and circular business models is demonstrated on the case of reusing urban wastewater. Conclusions. The circular economy cannot be considered as a stage in the "green economy" development. It is important to use them together, when sustainable development strategies are designed. "Natural solutions" provide opportunities for interdisciplinary studies on development and implementation of nature-based solutions, their versatility creates a potential for trade-offs. Cities have a potential to implement sustainable development concepts through the synergy of "natural solutions" and circular business models. Integrated use of the potential of complementary concepts is required.

The expansion of urban areas is directly related to the significant increase in waste production. Waste management is one of the actions that represent the progress of a society and a strategic resource driven by innovative solutions to achieve sustainable development. The aim of this study was to bring together the various innovative approaches and applications of smart solid waste management and their development in cities, as well as their relationships, connections and interdependencies. Through a bibliometric review and content analysis of 244 published peer-reviewed articles from 129 sources and 873 authors extracted from Scopus and Web of Science databases. The result showed that the main topics developed in the context of smart solid waste management are collection and transportation optimization, Internet of Things (IoT), energy use, urban sustainability, artificial intelligence (AI), circular economy (CE) and atmospheric emissions. These topics, when interconnected and related to smart solid waste management raise important questions to think about regarding the concept of smart urban solid waste management, its relationships and connections. However, there is not yet an established concept of smart urban solid waste management in the literature. It is an evolving topic, just like the more modern concepts of Smart Cities, Industry 5.0, Society 5.0 and more recently City 5.0. Therefore, many studies are currently being developed focusing on the management and Sustainable Development Goals (SDGs) to implement the smart environment in conjunction with the use and fusion of various smart technologies that facilitate waste management.

The urgency of environmental and resource-related challenges has elevated the importance of integrating Open Innovation and Circular Economy into sustainability-driven strategies. While these domains have independently matured, their intersection remains under examined, particularly from a quantitative, science-mapping perspective. This study employs bibliometric analysis on 98 articles published in academic journals between 2015 and 2025, which were screened according to specific criteria, using the Scopus and Web of Science databases. The performance analysis and science mapping were conducted using R and VOSviewer to understand the intellectual organization, changing themes, and influential researchers in the Open Innovation–Circular Economy field. The results contribute theoretically to how Open Innovation mechanisms can facilitate Circular Economy transitions by highlighting underutilized theoretical perspectives, such as stronger innovation capability, better engagement with all stakeholders, and greater organizational capability, and practically, it offers insights for organizations, policymakers, and other ecosystem actors seeking to implement circular strategies through open and collaborative innovation. Conversations are now shifting from theory to more practical and digitally driven approaches that apply to entire ecosystems. Technologies such as artificial intelligence, the Internet of Things, and digital twins are increasingly instrumental in supporting circular models and real-time decision-making. This study utilizes the Scopus and Web of Science databases, which may result in the exclusion of grey literature and studies from specific regions that are not indexed. In the future, research should include data from different sectors, develop designs such as Open Circular Platforms, and test concepts such as Circular Openness and Innovation Density.

Towards a circular economy for sustainable development: An application of full cost accounting to municipal waste recyclables

Purpose- This study aims to provide a bibliometric review of publications where the terms 'digital marketing' and 'artificial intelligence' are used together. Leading publications, authors, countries, and institutions in the Web of Science (WoS) database have been examined to achieve this goal. Additionally, this article investigates the combined use of digital marketing and artificial intelligence. Furthermore, it aims to offer insights into artificial intelligence strategies for marketing that businesses can employ. Methodology- The research employs the technique of bibliometric analysis. The Bibliometrix package within R Studio and its web-based component, Biblioshiny, were utilized for analysis. Searches were conducted in the Web of Science database using the keywords 'Digital Marketing' and 'Artificial Intelligence' in the title, abstract, and keywords sections. Findings- As a result of the analysis, a total of 60 publications authored by 140 researchers and distributed across 46 journals between 2017 and 2023 were identified. Examination of the included publications reveals frequent usage of terms such as 'artificial intelligence,' 'creativity,' 'analytics,' 'impact,' 'expertise,' 'social networks,' 'big data,' 'governance,' 'success,' and 'AI.' Upon scrutinizing the authors' countries, India emerged as the leading contributor, followed by Spain and the USA. Moreover, Finland (370), Spain (92), and France (58) had the highest citation counts. Conclusion- This research aims to contribute to researchers interested in working in digital marketing and artificial intelligence by examining its past and present. For this purpose, 60 relevant studies from the literature were systematically reviewed and analyzed across various categories. Additionally, the examined publications' conceptual, intellectual, and social structures were illuminated. Keywords: Digital marketing, artificial intelligence, AI systems, bibliometric analysis, bibliometrix. JEL Codes: M15, M30, M31

Circular economy enterprise alliance is an effective way for enterprises to achieve recycling economy development model, and is of great significance to the development of the national economy as a whole. This paper aims to explore how to improve the operational efficiency of the enterprise alliance and reduce the risk of dissolution of the Union, from the angle of the redistribution of the interests of the enterprise alliance, integrating the rate of the alliance members' actual contribution to the enterprise alliance. Additionally, by constructing the benefit distribution model of the alliance members, this paper studies the dynamic stability of the circular economy enterprise alliances. Intrinsic link between circular economy and enterprise alliance Enterprise alliance is the important carrier of developing circular economy Circular economy is a new economic development model which comprehensively considers the economic, social and environmental benefits. Compared with traditional economy, what is particular about circular economy lies in that traditional economy is a linear economy, one-way flow of goods consisting of resources - products - pollution emissions; Circular economy is an advocate of establishing the economy development model based on constantly recycled material whose operating mode is Resource - Products - Pollutants(1). In the circular economy, enterprises are in pursuit of comprehensive benefits and aim to find a path to sustainable development by improving the competitive power and environmental adaptability. A single enterprise is restricted by firm size, resource acquisition and technology in seeking the development model of circular economy. The emergence of enterprise alliance solved the problem of resource constraints, improved the operation efficiency of enterprises, and enhanced the competitiveness of enterprises. As an important carrier of the development of circular economy, enterprise alliance ensured the implementation of corporate seeking circular economy mode. Circular economy is the fundamental guarantee for the sustainable development of enterprise alliance Enterprise alliance's presence does not increase the effectiveness of the entire enterprise system, but can reduce the costs in the process of single enterprise's resource acquisition and technology development, improve the efficiency of enterprise alliance symbiotic chain and increase enterprise alliance performance, through mutual cooperation among alliance members. The enterprise alliance redistributes the alliance benefits to maximize the benefits of alliance members. Circular economy is a new economic model of sustainable development and the foundation of enterprise' s sustainable development, presupposes the existence of corporate alliances, and ensures the long history of the interests of enterprise alliance and its members . Enterprise alliance's sustainable development and sustainable revenue coincide with the ecological requirements of economic development in circular economy model, the combination of which built a circular economy enterprise alliance shown in Fig.1. Under the guidance of the circular economy development model, enterprise alliance, by ways such as the process upgrading, product upgrading, functional upgrading and value chain upgrading, enhances their competitiveness and

Background of the Study : In the 21st century, adopting the principles of the circular economy to minimize waste and pollution has become prominent in several industries, including the food industry. The United Nation’s sustainable development goal to reduce retail and consumer food waste by half by the year 2030 on a global level, has prompted many nations to deplore proactive measures to eliminate food waste. By eliminating food waste through a circular economy model, there are numerous benefits to be gained for businesses and the environments in which we live. This research will provide insights into how transitioning into a circular food economy will be beneficial for the state of Mississippi, the USA, and the world at large. Purpose: The purpose of this paper is to explore the current level of awareness and advocated the benefits of transitioning to a circular food economy in Mississippi, USA. Design/methodology/approach : A questionnaire survey of 120 construction professionals was used to assess the current level of awareness and advocated the benefits of transitioning to a circular food economy in Mississippi, USA. The questionnaire comprised three main sections each exploring different parts of the research question. Findings: The key findings of the statistical analysis indicated that there is low awareness of the circular food economy. This study fills the gap in the existing knowledge by addressing concerns over circular food economies to improve confidence among practitioners. Research limitations/implications: Although the data used in this paper was from educationally qualified individuals, the research is limited in some ways in that it does not cover all the professionals in the food industry. Nevertheless, all the professionals who responded to the questionnaire have an up-to-date level of awareness of the circular food economy. Practical and Social implications: A noticeable proponent of the circular food economy is that it promotes the overall health of people by providing environmental and economic benefits. Originality/value : This paper contributes with new outlooks aimed at assessing the current level of awareness, usage, and advocated benefits of the circular food economy and adds to the limited empirical studies on circular economy to governments, companies, and decision-makers. Keywords: Awareness, Benefits, Circular, Economy, Food, Mississippi. DOI: 10.7176/JESD/13-22-02 Publication date: November 30 th 2022

This study conducts a bibliometric analysis of global trends in 'artificial intelligence studies in veterinary medicine'. The analysis aims to summarise the publications of researchers from various disciplines related to artificial intelligence in veterinary medicine, thereby predicting future trends of AI in this field. The primary objective of the study is to investigate publications pertaining to artificial intelligence in veterinary medicine worldwide and to analyse trends and future developments in this area. This bibliometric study examines artificial intelligence research in veterinary medicine conducted worldwide from 1990 to 2024. To achieve this, a search using the keywords 'artificial intelligence' and 'veterinary medicine' was performed in the Web of Science (WOS) database, resulting in the identification of 1497 studies. After excluding irrelevant publications and those outside the scope of articles, a total of 1400 articles were included in the analysis. The data collection process utilised titles, author names, publication years, journal names, and citation counts. All textual data were analysed using VOSviewer software to ensure accuracy and reliability. In this study, analyses conducted through text mining and data visualisation techniques (e.g., bubble maps) facilitated a clearer understanding of the results. This study presents information about 1400 articles obtained from the WOS database and a total of 44,700 citations for these articles. The average number of citations per article is 32, with an H-index of 74. A rapid increase in both the number of articles and citations has been observed since 2019. The majority of the articles (30%) were published in the fields of veterinary sciences, artificial intelligence, and computer sciences. The United States, Taiwan and the United Kingdom are the leading countries, accounting for 84% of the published articles in this field. Additionally, 12% of the articles were published in the area of veterinary sciences, and 85% of the articles fall within the SCI-Expanded category. The findings of our study indicate that there are numerous active researchers in the field of artificial intelligence in veterinary medicine and that research in this area is steadily increasing. This bibliometric analysis highlights global trends and significant works in artificial intelligence within veterinary medicine, providing valuable insights into the future directions of research in this field. As the analysis aims solely to identify trends and patterns in the literature, it does not intend to evaluate the applicability of the subject matter. Analysis of Global Trends: This study comprehensively analyses the global trends and effects of research on artificial intelligence in veterinary medicine. In this context, it contributes to the identification of significant changes and developments in the literature. Rapidly Spreading Research: Research on artificial intelligence in veterinary medicine has rapidly expanded in recent years, and this trend is expected to continue. The increase in studies indicates an expansion of knowledge and applications in this field. Diagnostic and Therapeutic Tools: Artificial intelligence research serves as a valuable tool in veterinary medicine, particularly in improving the diagnosis and treatment processes for various diseases. This contributes to the development of more effective methods for animal health and care. Increasing Number of Publications: The number of studies on artificial intelligence in veterinary medicine worldwide is increasing each year. Notably, after the Covid-19 pandemic, there has been a significant rise in publications in this field. This indicates that the importance of artificial intelligence in both human and animal health has grown, with the pandemic intensifying research interest. Prominent Countries: Among the countries examined in the study, the United States, Taiwan, England, and Germany emerged as leaders in this research area. Conversely, it was noted that some countries have very few or no academic publications in the field of artificial intelligence in veterinary medicine.

Enablers, levers and benefits of Circular Economy in the Electrical and Electronic Equipment supply chain: a literature review

The textile industry has long been a cornerstone of the global economy, but its environmental impact has come under scrutiny, particularly with the rise of fast fashion driven by rapid population growth and short‐term trends. The industry's current linear economy model, which prioritizes constant production and disposal, exacerbates its environmental footprint. To address these issues, a circular economy (CE) model has emerged, emphasizing the principles of “reduce, reuse, and recycle” to extend product life cycles, transform waste into wealth such as recycled yarn, regenerated fibers, biofilms, biodegradable composites, biofuels and so on, and minimize environmental impact. Implementation of CE in the textile industry aligns with the UN's sustainable development goals, as CE aims to minimize water, resources, and energy consumption, accelerate economic growth, and promote responsible consumption and production. This article explores how transitioning to a CE model could mitigate the industry's environmental damage while influencing economic growth. Furthermore, how internet of things (IoT) (Internet of things) can be contributed to CE initiatives by providing a transparent traceability along the whole textile supply chain. The review begins by examining the drawbacks of the linear economy and then highlights the environmental and economic benefits of CE. The discussion includes waste management strategies, with a special focus on recycling techniques not only in the end products but also across various process sections of the textile industry, promoting a sustainable development and application of recycled fiber. Additionally, it explores approaches like resale, reuse, repurposing, and rental. Furthermore, the paper addresses the economic and environmental benefits from circular economy principles adaptation supported by industry‐specific data. This paper shows the connection of sustainable development goals (SDGs) with circular economy, effects of consumer behavior in CE and potential risks associated with adopting a circular economy model, which are crucial for its successful implementation.Highlights The linear textile economy worsens environmental impact through wasteful production. Circular economy extends product life, transforming waste into valuable resources. CE supports UN SDGs by reducing water, energy, and promoting responsible production. IoT aids circular economy by ensuring transparent supply chain traceability in textiles. The review focuses on CE's benefits, emphasizing recycling and sustainable waste management.

The article investigates how cooperatives and the circular economy complement each other, highlighting their relevance in building a sustainable future. By integrating circular economy principles into cooperatives, sustainable resource management and opportunities for development are fostered. Cooperatives, with their collaborative nature and focus on member interests, provide an ideal framework for implementing circular economy practices. They promote efficient resource collection, reuse, and recycling, reducing environmental impact and dependence on finite resources. Collaboration among cooperative members, local communities, and other stakeholders facilitates knowledge exchange and resource sharing, vital for circular economy implementation. The article also highlights key aspects of this collaborative approach. The collaboration between the members of the cooperative, the local community and other interested entities contributes to the exchange of knowledge, experiences and resources necessary for the implementation of the circular economy. By joining forces, these key participants can develop innovative initiatives and projects that deliver economic, social and environmental benefits. Finally, the authors emphasize the importance of promoting and supporting cooperatives within the circular economy model. By promotion of collaboration and creation of an enabling environment for the development of circular economy-oriented cooperatives, a sustainable future can be constructed, where resources are managed efficiently, waste is minimized, and communities develop in a sustainable way.

Abstract: This chapter explores the transformative role of artificial intelligence (AI) in driving economic growth and innovation across critical sectors, including cryptocurrency, circular economy, manufacturing, small and medium-sized enterprises (SMEs), and infrastructure development. AI is revolutionizing cryptocurrency systems by enhancing security, optimizing mining processes, and supporting decentralized finance (DeFi). In the circular economy, AI enables resource optimization, waste reduction, and sustainable supply chain practices. In manufacturing, AI improves automation, predictive maintenance, and quality control, leading to more efficient and sustainable production processes. For SMEs, AI democratizes access to advanced tools, enhancing competitiveness, operational efficiency, and financial management. Additionally, AI is shaping the future of infrastructure development by promoting smart cities, sustainable urban planning, and resilient infrastructure. The chapter discusses the challenges and opportunities AI presents for global economic transformation, highlighting the need for collaboration, innovation, and sustainability. Keywords: AI, economic transformation, cryptocurrency, blockchain, circular economy, manufacturing, SMEs, infrastructure development, decentralized finance, resource optimization, sustainability, smart cities, automation, financial management, predictive maintenance.

The transition to a circular economy offers a promising approach to sustainable resource management in energy supply chains, particularly within the context of reducing environmental impacts and enhancing resource efficiency. A circular economy model focuses on minimizing waste, maximizing resource utilization, and promoting the reuse, recycling, and remanufacturing of materials. This paper explores the application of circular economy principles in energy supply chains, highlighting their potential to transform traditional linear supply chains into more sustainable, closed-loop systems. In the energy sector, the circular economy can be implemented through various practices such as extending the lifecycle of energy infrastructure, reducing carbon emissions, and optimizing resource extraction and consumption. Key strategies include the recycling of energy materials (such as metals and plastics), repurposing equipment and infrastructure, and promoting energy efficiency across the entire supply chain. Moreover, the role of renewable energy systems, such as solar, wind, and bioenergy, is crucial in supporting circular economy models by offering sustainable alternatives to fossil fuels and enabling the reduction of environmental footprints. The paper also addresses the importance of designing energy products and services with circularity in mind, ensuring that materials and components can be recovered and reused after their useful life. Technological innovation, particularly in digitalization and artificial intelligence, plays a critical role in optimizing the management of resources in circular supply chains. Through data analytics and predictive modeling, energy companies can better track and manage material flows, ensuring higher efficiency and reduced waste. Additionally, collaboration among stakeholders, including suppliers, governments, and consumers, is vital for fostering circularity in energy supply chains. By implementing circular economy models, energy companies can not only enhance sustainability but also realize cost savings, improve resilience, and meet regulatory compliance. This paper concludes with recommendations for the energy sector to accelerate the adoption of circular economy practices, ensuring a sustainable and resource-efficient future.