The scientific literature related to human resource management (HRM) and sustainability has increased since 2015, coinciding with the establishment of the 2030 Agenda for Sustainable Development. This article combines a bibliometric approach, using VOSviewer and SciMat software, with a systematic literature review to assess and identify the scientific production in this domain. During the period studied (1996–2023), the results reveal the role of HR in achieving corporate sustainability but also the responsibility of companies to apply sustainable principles to HRM practices. Based on the findings and the less developed issues related to the SDGs and HRM a model of research proposals is provided, focusing on mental health (SDG 3), gender equality (SDG 5), collaboration towards climate action and responsible production and consumption (SDGs 12 & 13), and more emphasis on SDG 1 regarding the social sustainability of organisations.

Purpose: This study aims to offer a research overview of circular food waste management, covering key themes and trends. It analyses state-of-the-art research in this field and proposes an agenda to guide future research.Design/methodology/approach: This study outlines bibliometric analysis from a sample of 349 articles with VOSviewer and SciMat software to identify research trend topics.Findings: The findings reveal a substantial amount of interest in this field. The main research topics relate to the recovery processes and valorisation of food waste and its conversion into renewable and cleaner materials or energy sources, towards circularity. However, these processes require consideration of social aspects that facilitate their implementation, which are currently under-researched.Practical implications: Companies can target their circular food waste management by considering three key aspects. Firstly, the establishment of closer and more sustainable relationships with various stakeholders; Secondly, a regulatory framework and the support of institutions are both required for the correct implementation of circularity. Finally, what is not measured does not exist. It is therefore necessary to establish indicators to measure both the level of development of circularity in waste management and the fulfilment of the established objective.Originality/value: This bibliometric analysis looks at the application of circularity principles in food waste management from a holistic perspective, considering different areas of knowledge.

Waste management is the main challenge in the transition away from the linear "take-make-dispose" economy. Incorporating the principles of circularity in waste management would facilitate the achievement of Sustainable Development Goals. This paper aims to provide state-of-the-art research about circular waste management in the fulfillment of the 2030 Agenda. For this purpose, bibliometric analysis by VOSviewer and SciMat software is used to define the evolution and to detect research trends. Based on the main gaps identified in studies, a research agenda to guide for further opportunities in this field is suggested. The results obtained four clusters that address sustainable industrial infrastructure, biological waste management, recycling in developing countries and recovery processes. Four research propositions are established, focusing on plastic waste management and generation trends, circular municipal waste management, more sustainable landfill management, and enablers such as indicators and legislation. The transformation towards more bio and ecological models requires social, regulatory and organizational tools that consider the best interests and capacity of companies, public authorities and consumers. In addition, policy implications are considered.

The pandemic caused by COVID-19 has had an impact on the relationships established between different actors in organisations. To deal with these changes, it is necessary to develop a resilience capacity that allows for the establishment of different patterns of relationships through a new management model. The application of circularity principles implies a radical change in stakeholder relations, breaking with the “end-of-life” concept existing in linear economies. Furthermore, circular economy can ensure resilience in supply chains, and it can be considered as a tool in uncertain environments. Therefore, the objective of this study is to analyse the association between the customer–supplier relationships with circular supply chains based on the intellectual capital-based view theory. External capital is a crucial factor for organisations, and it helps with building remarkable capabilities for the whole supply chain due to collaboration and cooperation. This research contributes with a systematic revision of the literature regarding circular supply chains and customer–supplier external capital, providing an exploratory model. Establishing a closer and effective relationship with customers and suppliers supposes a differentiating value and competitive advantages. Actors involved in the supply chain are essential in the implementation of circularity in organisations for reducing waste production and returning resources to the production cycle. Therefore, circular networks related to customers’ behaviour, sustainable supplier election and IT tools play a key factor in improving resilience in supply chains.

Artificial intelligence plays an important role in higher education, helping to manage centres and students’ educational pathways, and acting as a valuable tool for both professors and scholars. However, its use in education is still at an early stage of development. Despite the notable increase in the number of publications and the growing interest in this area, there is a need to understand the rapid evolution of this domain. Hence, to fill this gap in the literature, this article employs a bibliometric approach based on co-occurrence analysis to identify what existing research and to understand current trends and emerging topics in the field of AI and higher education. To conduct this study, VOSviewer and SciMat softwares were used to analyse 181 papers retrieved from Web of Sciences and Scopus databases. Findings reveal that the conceptual structure consist of the impacts of AI on academic performance, particularly in relation to the use of chatbots such as ChatGPT and its multiple uses. To encompass the focus on students’ engagement and the potential for AI to enhance their self-regulated learning and active learning. Furthermore, aspects such as the integration of machine learning and robotics in higher education and student feedback are also considered. The emerging themes were found to be highly related to engagement strategies for the implementation of these technologies. Additionally, this paper provides future research avenues according to the results obtained, which could support scholars for the development of future studies, highlighting the lack of papers focussed on management and business issues in the implementation of AI tools and the need for personalisation. The training required to use these tools properly and the impact on students’ academic performance to monitor success are among the most outstanding practical implications of this study.

Purpose: This paper aims to provide an overview of the application of blockchain to agri-food supply chains, including key issues and trends. It examines the state of the art and conceptual structure of the field and proposes an agenda to guide future research.Design/methodology/approach: This article performs a bibliometric analysis using VOSviewer software on a sample of 205 articles from the WoS database to identify research trend topics.Findings: The number of publications in this area has increased since 2020, which shows a growing research interest. The research hotspots are related to the integration of blockchain technology in the agri-food supply chain for traceability, coordination between all actors involved, transparency of operations and improvement of food safety. Furthermore, this is linked to sustainability and the achievement of the sustainable development gtoals (SDGs), while addressing key challenges in the implementation of blockchain-based technologies in the agri-food supply chain.Practical implications: The application of blockchain in the agri-food supply chain may consider four key aspects. Firstly, the implementation of blockchain can improve the traceability of food products. Secondly, this technology supports sustainability issues and could avoid disruptions in the agri-food supply chain. Third, blockchain improves food quality and safety control throughout the supply chain. Fourthly, the findings show that regulation is needed to improve trust between stakeholders.Originality/value: The paper provides a comprehensive overview of the blockchain phenomenon in the agri-food supply chain by optimising the search criteria. Moreover, it serves to bridge to future research by identifying gaps in the field.