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This paper aims to conduct a bibliometric analysis of studies focusing on green supply chain management (GSCM) within the context of the digital economy.

We utilize the Web of Science database to search and filter relevant documents spanning the years 2003–2022. This extensive dataset enables us to analyze the growth and cutting-edge developments in research pertaining to GSCM in the digital economy.

The paper finds a significant increase in research interest and output, particularly noticeable from 2016 onwards, indicating the growing relevance of integrating GSCM with digital technologies. It is found that the prominent contribution of countries like China, England and the USA, underscoring a strong geographical diversity in research outputs. China leads in the number of publications, which reflects its significant role in shaping the discourse around GSCM in the digital economy. However, when it comes to citations, the USA leads, suggesting a higher impact or quality of research emanating from this region. Collaborative dynamics outlined in the study demonstrate extensive international cooperation, primarily among leading research countries, which is facilitated by shared digital platforms enhancing the research’s reach and impact. The study also highlights a range of emerging themes such as the adoption of blockchain technology, Internet of Things (IoT) and the circular economy within GSCM, indicating dynamic areas for future research.

The findings of this study hold significant practical implications for researchers, practitioners and policymakers. They shed light on the current state of research in GSCM within the digital economy, highlighting areas where further investigation is needed and pointing to the emerging trends in this field. Understanding the distribution of research and influential authors can guide future collaborative efforts and inform decision-making processes in the pursuit of sustainable supply chain practices in the digital era.

This paper contributes to the existing body of knowledge by providing a comprehensive bibliometric analysis of the evolving landscape of GSCM in the digital economy. It offers valuable insights into the growth patterns, key contributors and geographical distribution of research in this domain. This information is crucial for researchers and stakeholders seeking to stay at the forefront of sustainable supply chain practices in an increasingly digital world.

This research analyzes the current knowledge regarding the use of maturity models (MMs) in SSCM, aiming to identify the main characteristics, trends and research gaps on the subject. Facing the growing interest in carrying out studies directed at sustainability, to the detriment of more prescient environmental and social impacts and the need to consolidate the concepts present in the literature regarding the SSCM, an absence of similar studies in the current literature was found. The authors have selected articles to compose a database that allows users to analyze and classify publications on MMs in SSCM, being those subdivided into 7 categories: focus, methodology, analyzed sector, sustainable practices, dimensions of sustainable development, type of MM and model/framework validation method.

To achieve this purpose, a literature systematization was conducted by searching publications using defined keywords in two databases and following a process of classification. The systematic process has five steps, from the selection of databases to the filtering of publications, review of information and analysis of the sample.

The topic under study is promising, with a few publications dealing with it, mainly in Brazil, and there is a trend to exploit more of the area in future research.

This research provides a detailed analysis of an emerging theme, divided into seven thematic categories. Results demonstrate that the topic is still underexplored, indicating an important research gap to be filled.