Supply chain management literature provides several frameworks aiming to identify the constructs of supply chain performance and supply chain resilience. Nevertheless, the literature lacks a framework that encompasses healthcare supply chains and its idiosyncrasies. Therefore, the purpose of this paper is to propose a framework for analysing the relationships between the antecedent factors, mediators, and consequents of healthcare supply chain resilience (HCSCRes). The supply chain risk management (SCRM) literature shows a significant gap concerning a framework that comprises the particularities of SCRM applied to healthcare. In this sense, based on the importance of identifying the determinants of HCSCRes, qualitative, and exploratory research was developed through an extensive literature review. In this sense, we propose two research questions: (i) Which are the antecedents, mediators, consequents of a resilient Healthcare Supply Chain? (ii) Which are the variables that compose the constructs of a resilient healthcare supply chain? The proposed framework of this research was designed to analyse healthcare organisations, including the healthcare supply chain. To use the proposed framework in other industries (e.g. commerce, services), it is necessary to make adaptations and adjustments on the observable variables and constructs. The main contributions of the paper are twofold: (i) Show an essential theoretical value in proposing scales for the HCSCRes factors and can be useful for future quantitative approach and surveys. (ii) The literature review reveals that the set of practices and technologies known as industry 4.0 plays a major role in the theoretical framework proposed by this paper.

The challenges imposed by the business environment increasingly obligate supply chains to seek lower costs while maintaining high service levels. Healthcare supply chains face additional challenges since their main indicator is to save lives and provide care, nonetheless, keeping the revenue flow to support the activities. The covid-19 pandemic evidenced that a severe rupture in healthcare chains generates rupture in all other supply chains. In this sense, our paper has the objective of presenting a conceptual healthcare supply chain performance framework empirically validated by structural equation modelling. Our survey data were processed through the covariance-based structural equation modelling method, adopted for assessing the causal connection among the constructs. The paper revealed a relationship of supply chain integration, supply chain risk management, and supply chain 4.0 (antecedents) with healthcare supply chain performance (consequent). The literature contributions of this paper are (i) developing and validating a new scale for each construct; (ii) finding evidence of the causal relationships between the factors; (iii) measuring how the constructs influence the healthcare supply chain performance in both public and private healthcare sectors and providing discussion and tools to improve these results; (iv) this work empirically tested a theoretical framework; (v) the study reveals that the sector (public or private) has a moderating effect on all the constructs. Furthermore, the results of this study help to address some literature gaps identified by scholars having the potential to serve as a guide to organisations that are willing to implement these practices. Lastly, we recommend that HC supply chain managers consider the implementation of robust initiatives regarding SCRM, SCI, and SC40.

With the advancement of electric mobility, critical materials that are used in the batteries and electronic equipment of electric vehicles tend to become scarce. This work aims to analyse the state-of-art of the electric vehicle supply chain through bibliometric and systematic reviews, using quantitative and qualitative indicators, to find critical points that represent risks to the supply chain and that should be focused on and to identify trends for further studies. The bibliometric review was carried out with the support of the Bibliometrix software. The systematic review was performed using the PRISMA method. The bibliometric analysis showed the importance of the costs associated with electric vehicles, as well as trends in studies related to sustainability and transparency in the supply chain. Although risk management in the supply chain appears to be relatively little studied when considering the authors’ keyword analysis, the systematic review showed that this process was the most studied topic. Even so, raw materials supply appeared as the topic most focused on, followed by an environmental impact assessment and cost analysis. There were also studies aiming to achieve competitiveness and analyse ecologically correct practices. The battery was the most studied component, but other components must be analysed in search of greater competitiveness in relation to conventional vehicles.

Purpose: In the last few years, environmental issues have become a matter of survival. In this sense, e-waste management is among the major problems since it may be a way of mitigating mineral depletion. In this context, the literature lacks e-waste supply chain studies that systematically map supply chain challenges and risks concerning material recovery.Design/methodology/approach: Given this context, the authors' paper conducted a systematic literature review (SLR) to build a framework to identify the constructs of e-waste supply chain risk management.Findings: The paper revealed the theoretical relationship between important variables to achieve e-waste supply chain risk management via a circular economy (CE) framework. These variables include reverse logistics (RL), closed-loop supply chains (CLSC), supply chain risk management, supply chain resilience and smart cities.Originality/value: The literature contributions of this paper are as follows: (1) a complete list of the risks of the e-waste supply chains, (2) the techniques being used to identify, assess and mitigate e-waste supply chain risks and (3) the constructs that form the theoretical framework of e-waste supply chain risk management. In addition, the authors' results address important literature gaps identified by researchers and serve as a guide to implementation.

GOAL: This paper aims to carry a bibliometric study to map how data mining and operations research techniques are being applied to Supply Chain Risk Management. DESIGN/METHODOLOGY/APPROACH: We conducted a bibliometric analysis implemented in R language (bibliometrix package) using Systematic Literature Review approach to conduct the search. RESULTS: As the main results we highlight the gap we found in the literature considering Data Mining techniques in Supply Chain Risk Management and we set a full panorama of this stream of research. LIMITATIONS OF THE INVESTIGATION: We used Scopus database which allows recovering peer-reviewed texts from dozens of strong databases, nevertheless, we can not guarantee that all relevant documents were recovered. In addition, we considered only full published papers published in English language. PRACTICAL IMPLICATIONS: Managers and companies that are related in a supply chain must gradually redesign processes to include Data Mining techniques to support SCRM processes and activities along the SC. ORIGINALITY / VALUE: The paper showed the updated panorama of Data Mining implementation regarding SCRM. We did not find any similar studies, which shows our unique contribution.