Abstract
Through this research, the development and the intellectual framework of research based on circular economy (CE) and Industry 4.0 technologies are explored concerning sustainability. Even though the digitally enabled circular transformation attracts great interest, the domain of research does not have any systematic synthesis of thematic development and research gaps. To address this, 506 peer-reviewed journal articles published between 2017 and 2026 and indexed in the Scopus database were included in a bibliometric analysis. The document selection process was conducted in accordance with the PRISMA framework. Using the Biblioshiny (R package), the data were analysed to achieve the objective. The results indicate significant growth in the number of publications, with the themes of the CE, Industry 4.0, and sustainable development emerging as the leading and most closely related. Digital technologies are increasingly presented as means of enabling closed-loop supply chains, resource optimisation, and sustainable production systems. The research is valuable because it elucidates the intellectual context, outlines new research areas, and suggests a conceptual model of the connection among Industry 4.0 technologies, circular approaches, and sustainability implications, thereby providing theoretical and managerial implications for digitally enabled sustainability change.
Introduction
The necessity of striking a balance between economic growth and the prevailing environment has become more pronounced in the rapidly changing industrial environment. Increased resource loss, pollution, and social issues have been piled on to accelerate demands of production and consumption systems beyond the traditional linear take-make-dispose model (European Environmental Agenda, 2019; Geissdoerfer et al., 2017). In this regard, a circular economy (CE) has become one of the brightest tendencies that aim to keep the value of products, parts, and materials as long as possible and reduce the generation of waste or environmental externalities (MacArthur, 2015; Geissdoerfer et al., 2017). CE has been well known to go hand in hand with sustainable development and the perspective of the triple bottom line, as it considers both the protection of the environment, value creation, and social welfare simultaneously (Gupta et al., 2019; Santiago et al., 2023). In parallel to the emergence of CE, Industry 4.0 has completely changed the industrial systems with the introduction of new digital tools, including big data analytics, artificial intelligence, machine learning, blockchain, digital twins, and the Internet of Things (IoTs) (Acerbi & Taisch, 2020; Schwab, 2017). The technologies will allow improved connectivity, transparency, and decision-making, based on data, through product life cycles and supply networks. An emerging literature implies that the Industry 4.0 technologies can serve as essential facilitators of the circular strategies by facilitating such activities as resource tracking, lifecycle analysis, traceability, and closed-loop supply chain integration (Laskurain-Iturbe et al., 2021; Nascimento et al., 2019). In turn, the alignment of CE principles and Industry 4.0 technology is being considered a promising avenue to the sustainability-related industrial transformation. Irrespective of this increasing interest, there is no coherent research on the matter. Although several studies have independently researched CE practices or particular Industry 4.0 technologies, there is a scarcity of studies that fabricate an in-depth understanding of how digital technologies are indeed systematically used to facilitate the achievement of circular approaches and sustainability results (Acerbi & Taisch, 2020; Rodriguez-Romo et al., 2025). In addition, the prevailing literature is spread over various fields and publications, and it will be challenging to arrive at a cohesive comprehension of the prevailing research interests, the conceptual frameworks, and new research directions at the intersection of CE and Industry 4.0 and sustainability. This disaggregation tells of the necessity of an organised literature synthesis. The bibliometric analysis is a strong and clear-cut methodology solution to this requirement, by identifying ‘influential articles, themes, patterns of collaboration, and gaps in knowledge’ in a field of research by quantitatively analysing large volumes of scientific literature (Donthu et al., 2021).
Research Gap
Even though the studies on CE and Industry 4.0 have been increasing at an alarming rate, the literature is still disparate. The research on the work of the CE in question is mostly theoretical and does not give much information on the impact of digital technologies, whereas the research on Industry 4.0 is more about the operational efficiency, with sustainability regarded as its by-product. The current research on the simultaneous investigation of CE and Industry 4.0 is scattered and technology-neutral, as it does not provide an in-depth quantitative synthesis of research development, thematic articulation, and sustainability coalescence. Subsequently, there is yet to be a consolidated knowledge of the combination of CE, Industry 4.0 technologies, and sustainability in the literature.
Objective of the Study
The objective of this study is to systematically map and synthesise the global research landscape at the intersection of CE, Industry 4.0 technologies, and sustainability using bibliometric analysis.
Research Questions
To achieve this objective, the study addresses the following research questions:
RQ1: How has research on CE and Industry 4.0 technologies from a sustainability perspective evolved over time? RQ2: Which journals, authors, institutions, and countries have made the most influential contributions to this research domain? RQ3: What are the dominant and emerging research themes linking CE, Industry 4.0 technologies, and sustainability?
Novelty and Contribution of the Study
This study makes three key contributions. First, it provides a comprehensive data-driven bibliometric synthesis of the literature. Second, it offers a systematic mapping and thematic evolution of the field, with a specific focus on sustainability. Third, the study also identifies key research gaps that can guide future studies and inform sustainability-oriented industrial practices.
Literature Review
The literature review is organised into three sub-sections—CE, Industry 4.0, and Industry 4.0–CE–Sustainability.
Circular Economy
Industry 4.0
Industry 4.0, Circular Economy and Sustainability
The literature review shows that the concept of the CE has been developed, and focuses on ‘resource efficiency and closed-loop systems’, in contrast, studies on Industry 4.0 focus on operational and productivity components, with little consideration of circularity and sustainability. Although recent studies have begun to explore their intersection, the existing literature remains fragmented, with limited attention to their combined impact on sustainability. This highlights the need for a comprehensive synthesis that integrates these domains, which this study addresses through a bibliometric approach.
Integrative Framework of CE, Industry 4.0 and Sustainability
According to the synthesis of the reviewed studies, one can state that the concept of Industry 4.0 technologies is widely recognised as an enabler of CE practices, which, in turn, lead to improved sustainability performance. Nevertheless, the literature remains widely dispersed across technological, operational, and sustainability perspectives. A simplified integrative framework is presented in Figure 1 to clarify the structure and to bring together the predominant linkages identified in earlier research.
Integrative Framework of Industry 4.0–Enabled Circular Sustainability.
Research Methodology
Research methodology gives a chance to design the study, gather data, and analyse the findings in a systematic manner. Because scholarly research advances on the previous one, formal reviews of the literature are necessary to unify the existing data and discover gaps in the research (Baumeister & Leary, 1997; Snyder, 2019; Tranfield et al., 2003). Because of the fragmented and interdisciplinary character of research concerning CE, Industry 4.0, and sustainability, the proposed study will use a bibliometric approach. The biblioshiny (R-Studio), a popular tool for mapping the science and studying performance, was used to visualise and perform bibliometric analysis (Donthu et al., 2021; Moral-Muñoz et al., 2020). The statistical analysis of bibliographic data is the first example of which can be found in the work of Pritchard (1969). This is especially appropriate in emergent fields in which knowledge is scattered across disciplines.
Data Source
All data were accessed solely through the Scopus database. Scopus was selected because it indexes a large number of peer-reviewed journals in management, sustainability, engineering, and manufacturing. Based on comparative analyses, Scopus is recognised for high citation indexing and interdisciplinary coverage, including information on bibliometric research (Harzing & Alakangas, 2016; Martín-Martín et al., 2021). Additionally, Scopus is regarded as a high-quality bibliometric database that supports quantitative scientific research, as it provides structured metadata and reliable citation tracking (Baas et al., 2020).
Data Extraction
The search was conducted on 29-1-2026 using structured keyword combinations with ‘AND’ and ‘OR’ Boolean operators to capture the intersection of ‘Circular Economy, Industry 4.0 technologies, sustainability, and manufacturing’. The query was applied to the title, abstract, and keyword fields (TITLE-ABS-KEY) using search strings of Table 1 in Scopus to ensure comprehensive retrieval.
The Final Search String Used in Scopus Was.
The formalised use of the Boolean operators (AND and OR) improved retrieval accuracy and reduced irrelevant results. The extracted records were exported as compatible bibliographic records in CSV files.
Inclusion and Exclusion Criteria
To ensure rigour and relevance, a structured screening process was applied in line with systematic review principles (Snyder, 2019; Tranfield et al., 2003).
The inclusion criteria were:
Subject Areas: ‘Business, Management, Accounting, Economics, Econometrics & Finance, and Decision Sciences’. Document Types: ‘Articles and review papers’. Time Period: 2017–2026. Language: English.
Publications outside these domains, non-peer-reviewed documents, editorials, and studies not directly addressing the CE, Industry 4.0, and sustainability intersection were excluded.
The screening process of this study was undertaken using PRISMA, as shown in Figure 2. Following the last eligibility check, 506 documents were selected to undergo a bibliometric analysis.
Findings and Analysis
This section presents the findings of the bibliometric analysis, organised around the research questions.
It can then be interpreted (based on Table 2) that the dataset analysed in this study includes 506 publications from 156 sources published between 2017 and 2026. The field shows a high annual growth rate of 30.53%, indicating rapidly increasing research interest. The average document age of 2.48 years suggests that the literature is relatively recent and still evolving.
Main Information Table.
The publications have received an average of 57.99 citations per document, supported by 3,660 references, reflecting a strong research foundation. The dataset also contains 1,363 author keywords and 2,101 Keywords Plus, indicating a wide range of research topics within the field.
A total of 1,510 authors contributed to these publications. Only 29 papers are single-authored, while the average number of co-authors per document is 3.82, showing that research in this area is largely collaborative. Additionally, 52.17% of the publications involve international collaboration, highlighting the research’s global nature.
Figure 3, on ‘Annual Scientific Production’, shows a clear upward trend in research on CE, Industry 4.0, and sustainability over time. Publications were very limited between 2017 and 2018, indicating that the topic was still emerging. From 2019 onward, the number of studies began to increase gradually, with a noticeable rise after 2021. Research output grew rapidly between 2022 and 2025, reaching its highest level in 2025, which reflects strong and growing academic interest in the field. The sharp decline in 2026 is likely due to incomplete data for the year rather than a reduction in research activity.
Annual Scientific Production.
Figure 4 is based on the ‘most relevant sources’ contributing to research on circular economy, Industry 4.0, and sustainability. The ‘Journal of Cleaner Production’ leads with 75 publications, making it the most influential source in this field. It is followed by ‘Business Strategy and the Environment’ with 49 publications. Other important sources include ‘Resources, Conservation and Recycling (20), Environment, Development and Sustainability (18), and Technological Forecasting and Social Change (17)’. The figure highlights the significant role of sustainability and operations management journals in advancing research in this area.
Most Relevant Sources.
Based on Table 3, the results show that influential publications are concentrated in a few key journals. The ‘Journal of Cleaner Production’ emerges as the most impactful source, highlighting its major role in shaping research on CE and sustainable production. Other journals, including ‘Business Strategy and the Environment, Technological Forecasting and Social Change, and Resources, Conservation and Recycling’, also contribute significantly, reflecting the growing link between sustainability, technological innovation, and resource management. Additionally, journals such as ‘Annals of Operations Research, International Journal of Production Economics, and Operations Management Research’ indicate the increasing importance of operations and production management perspectives in implementing circular and digital strategies.
Sources Local Impact.
A comparison of Table 3 and Figure 4 shows that the journals publishing the most articles also tend to have the strongest research influence in this field. ‘Journal of Cleaner Production’ clearly leads both in publication output and citation impact, highlighting its central role in advancing research on CE and sustainability. Similarly, ‘Business Strategy and the Environment, Resources, Conservation and Recycling, and Technological Forecasting and Social Change’ appear prominently in both productivity and impact rankings, indicating their significant contribution to the development of this research area.
It is inferred that, based on Table 4, several authors have made notable contributions to research on CE, Industry 4.0, and sustainability. ‘Garza-Reyes J and Kumar A’ emerge as the most productive authors in the field, indicating their strong and consistent involvement in this research area. Other scholars, such as ‘Bag S, Agrawal R, and Kumar Mangla S’, also show significant contributions, reflecting their active role in advancing studies related to sustainable operations and digital transformation. The presence of multiple authors with similar publication levels suggests that the field is supported by a diverse and collaborative group of researchers, rather than being dominated by a single contributor.
Most Relevant Authors.
Based on Table 5, the authors who have the strongest scholarly impact within the dataset are ‘Kumar A and Garza-Reyes J’, who appear as the most influential contributors, showing strong citation performance and research impact in this field. Their work has played an important role in shaping the academic discussion around the CE and digital transformation.
Authors’ Local Impact.
Other authors, such as ‘Bag S, Agrawal R, Kazancoglu Y, and Kumar Mangla S’ also demonstrate notable influence, indicating that several researchers are actively contributing to the development of knowledge in this area. The results suggest that the field is supported by a group of consistently contributing scholars whose work has gained significant academic attention.
A comparison of Tables 4 and 5 shows that several authors who publish frequently also demonstrate strong research impact. Authors such as ‘Kumar A, Garza-Reyes J, Bag S, Agrawal R, and Kumar Mangla S’ appear in both lists, indicating that they are not only productive but also influential within the research field. However, the presence of authors like ‘Luthra S and Liu Y’ in the impact ranking suggests that some researchers have achieved strong citation influence even with a relatively smaller number of publications. Overall, this comparison indicates that the field is shaped by a combination of highly productive and highly impactful scholars.
Based on Table 6, the results show that research is widely distributed across several countries, with some nations contributing more prominently than others. ‘India’ emerges as the leading contributor, indicating strong research activity and growing academic interest in this area. ‘China and the United Kingdom’ also demonstrate substantial contributions, reflecting their active involvement in sustainability and digital transformation research. Other countries, such as ‘France, Brazil, the USA, and Italy’ also show notable participation. Additionally, contributions from countries like ‘Malaysia, Germany, and Australia’ highlight the global and collaborative nature of research in this field. The distribution indicates that studies on CE and Industry 4.0 are being actively explored across both developed and emerging economies.
Country’s Scientific Production.
As shown in Table 7, several countries have had a strong citation impact on research. ‘India and China’ have the highest total citations, reflecting their substantial research output and active contributions to the field. ‘The United Kingdom and the United States’ also demonstrate strong citation influence, indicating that research from these countries receives considerable academic attention. Some countries exhibit very high average citation counts per article, such as Norway and South Africa, suggesting that although their publication volume may be smaller, their studies have a significant scholarly impact. Countries such as France, Italy, Brazil, and Germany also contribute meaningfully, indicating broad international engagement in this research area.
Most Cited Countries.
A comparison of Tables 6 and 7 shows that countries with high research output, such as ‘India, China, and the United Kingdom’, also tend to generate strong citation impact, highlighting their leading role in the field. However, the citation table also reveals that some countries with fewer publications, such as ‘Norway and South Africa’, achieve very high average citation influence. This suggests that while some countries contribute through high research volume, others contribute through highly influential publications.
As Figure 5 demonstrates, the keyword co-occurrence network, which shows how the main research topics are connected in the literature. The size of each node reflects how frequently a keyword appears, while the links indicate how often different terms occur together in the same studies. The network clearly places ‘circular economy’ at the centre, closely linked with ‘Industry 4.0’, ‘sustainability’, and ‘sustainable development’. This suggests that most studies examine CE practices together with digital technologies and sustainability goals. The clusters also reveal different research directions. One group of keywords relates to sustainable development and environmental management, another focuses on Industry 4.0 and digital transformation, while a third cluster includes topics such as artificial intelligence, IoT, recycling, and waste management. The figure indicates that current research largely focuses on how digital technologies can support CE practices to improve sustainability in industrial and supply chain systems.
Co-occurrence Network.
Figure 6 presents the thematic map, which organises the main research topics based on their importance in the field (centrality) and their level of development (density).
Thematic Map.
The basic themes include ‘circular economy, Industry 4.0, and sustainable development’. These topics form the core foundation of the research area, as they are widely studied and closely connected with other themes.
The motor themes consist of ‘sustainability, manufacturing, and environmental economics’, indicating that these areas are well-developed and play an important role in advancing research in this field.
The niche themes, such as ‘artificial intelligence, decision-making, and recycling’, represent specialised research topics that are relatively well-developed but less connected to the broader research structure.
Finally, ‘supply chain management, blockchain, and the Internet of Things’ appear under emerging or declining themes, suggesting that these topics are still evolving and may gain greater attention in future research. The thematic map shows that while CE and Industry 4.0 remain the central focus, emerging digital technologies are gradually shaping new research directions.
Discussion
This study offers a bibliometric review of the dynamic research environment in the nexus of ‘Circular Economy, Industry 4.0 technologies, and sustainability’. According to the bibliometric results, there is a sharp, steady increase in the number of scholarly publications, which began to grow especially in 2019, reflecting the growing focus and interest of scholars and industry toward a digitally enabled form of circular transformation. Such an increasing interest is indicative of an overall appreciation of the idea that sophisticated digital technologies might be essential in the context of supporting a sustainable industrial system, as well as aid in the shift towards more circular and resource-efficient value chains than traditional linear models of production (Bressanelli et al., 2018; Geissdoerfer et al., 2017).
The analysis also demonstrates that the intellectual sector of the area is mostly structured around three inseparable themes: ‘circular economy, Industry 4.0, and sustainable development’. Their frequent co-occurrence suggests that digitalisation and circular strategies are increasingly viewed as complementary. This observation corroborates previous research that proposes that Industry 4.0 technologies can play an important role in the introduction of CE practices as they will optimise resource use, improve product lifecycle management processes, and reduce, to some extent, waste generation processes (Luthra et al., 2018; Rajput & Singh, 2019). In that sense, digital transformation cannot be viewed as a simple working tool, but rather as a structural enabler that facilitates the creation of viable industrial ecosystems.
The next valuable lesson, which was observed due to the keyword co-occurrence analysis and theme analyses, is that the use of advanced technologies development, that is, ‘artificial intelligence, blockchain, IoT, and big data analytics’, gains increasing significance. As an example, using digital twin technologies, organisations can simulate product lifecycle, optimise maintenance processes, which can extend product life and enhance the use of resources. On the same note, blockchain-enhanced systems improve supply chain traceability and transparency, which enhances reverse logistics and recycling (Saberi et al., 2019). These types of developments indicate how Industry 4.0 could make it possible to operationalise the principles of the CE, and may also act as system-level enablers of sustainable industrial transformation.
Since research on the topic is growing at a very high rate, the review further exposes various structural disequilibria in the current body of literature. The majority of the research is based on the environmental sustainability outcomes, including the reduction of waste, energy saving, and optimisation of resources. Whereas the social aspect of sustainability has received relatively lower enthusiasm. Some problems, including changing the workforce, development of digital skills, job redesigning, and involvement of stakeholders, are not studied sufficiently. Nevertheless, the earlier studies also stress that effective sustainability transitions need an equal approach to the environmental, economic, and social aspects (Kirchherr et al., 2017).
Moreover, the review reveals that a significant amount of the literature is still descriptive, and the empirical validation is not well validated across industries and locations. Empirical studies, including case studies, surveys, and longitudinal studies, may help offer additional information on organisational capabilities, technological preparedness, and institutional circumstances that determine the successful implementation of digitally enabled circular strategies.
More industrial examples also explain the practicality of digitally empowered circle transformation. As an example, a digital twin initiative by businesses like Siemens has driven predictive maintenance and better lifecycle management of industrial equipment, remanufacturing, and resource optimisation (Grieves & Vickers, 2017). Similarly, monitoring systems provided through IoT have enabled manufacturing organisations to achieve energy efficiency and streamline the production process (Müller et al., 2018). The use of blockchain-based platforms in the logistics networks has also contributed to supply chain transparency and traceability, achieving circular supply chain management and enhancing the coordination of reverse logistics (Francisco & Swanson, 2018).
These results imply that the Industry 4.0 technologies ought not to be viewed as digital instruments but as system facilitators that can transform production systems, supply chains, and the process of value creation. The merger of digital technologies and the strategies of the CE can thus help turn the traditional systems of industry into more flexible, information-based, and sustainable ecosystems.
Theoretical Implications
This research can help the available literature by giving a better perspective of the development of research on ‘Circular Economy, Industry 4.0 technologies, and sustainability’, and the conceptual relationship among these fields. The study maps the intellectual structure of the field. It demonstrates that CE principles, digital technologies, and sustainability objectives are increasingly discussed as an integrated research framework rather than as independent spheres.
Artificial intelligence, IoT, and blockchain technologies can help to achieve better resource tracking, lifecycle, and data-driven decision-making, and enable the operational realisation of the idea of circular strategies in the manufacturing and supply chain systems. Additionally, it brings forth some gaps in the theoretical premises that are supposed to be filled out in subsequent research.
Managerial and Policy Implications
The Industry 4.0 technologies are to be combined strategically with the CE principles to improve ‘the efficiency of resources, lifecycle management of products, and transparency of supply chains’. The blockchain-based technologies have the potential to enhance the supply chain tracking system and bolster the reverse logistics.
Digital technologies can also be used to assist managers with the new circular business models that include (product-as-a-service, product remanufacturing, and closed-loop supply chains). Policy-wise, this was where governments may have a key role to play in investing in digital infrastructure, supporting research and innovation efforts, and providing incentives to encourage organisations, especially the small and medium-sized enterprises (SMEs), to use Industry 4.0 technologies towards sustainable production. Moreover, the training programmes capable of increasing the digital and sustainability-related skills can facilitate adapting industries to the process of going to the circular and sustainable economic systems more efficiently.
Limitations and Future Research Directions
This study has numerous limitations, even though it makes a contribution. To begin with, the analysis will be conducted on the basis of publications indexed in the Scopus database only; some potentially relevant studies can be located in other databases, including Web of Science or Google Scholar. Second, the bibliometric method mostly deals with quantitative values, including publication trends, citation patterns, and even keyword networks; thus, it does not entail any comprehensive qualitative assessment of the given studies. Third, publications published since 2017–2026 are included in the dataset, and thus, may miss out on previous background inquiries surrounding the subject of CE and the digital transformation.
To provide a clearer structure for future research, the Table 8 draws on the TCCM (Theory–Context–Characteristics–Methodology) framework (Paul et al., 2021).
Future Research Directions.
Conclusion
The studies provide a comprehensive and detailed explanation of the existing literature concerning the integrated aspect of ‘Circular Economy, Industry 4.0 technologies, and sustainability’. The study identifies the key contributors to this research field, the most influential journals, and new areas of the theme by analysing 506 articles indexed in the Scopus database in the period 2017–2026. The findings indicate that there is a substantial growth in the academic attention to the subject, and this has demonstrated the rise in the significance of digital technologies to the process of supporting sustainable and circular industrial systems.
Artificial intelligence, IoT, blockchain, and big data analytics are considered to be the growingly significant examples of technologies that can assist organisations to shift to more efficient and circular production systems. These emerging technologies enhance the management of the lifecycle of products, increasing visibility in the supply chain, resulting in better utilisation of resources in manufacturing and logistics operations.
Nevertheless, there are also certain gaps that the analysis identifies in the existing research environment. To a large extent, the available literature concentrates mostly on the outcomes of environmental sustainability, whereas aspects of social and organisational aspects of digitally enabled circular transformation have not been researched extensively. Also, conceptual studies prevail, which suggests that there is a necessity to conduct more empirical studies looking at how these technologies are applied in actual industry settings.
In general, this research is relevant to the literature that will help to better understand the development of research around digital technologies and the CE. The identification of the main themes, influential contributors, and significant gaps in the research allows the study to be rather useful to scholars who need to contribute to the enhancement of the given field.
Footnotes
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.
Funding
The authors received no financial support for the research, authorship and/or publication of this article.