Yes / Circular supply chain (CSC) emphasises surge in application of reuse, recycling, remanufacturing and thereby promotes transformation from linear to circular model of flow of products. Supply chains of manufacturing industries have become global over the years. Products manufactured in developing nations are being sent to developed nations for mass consumption. Developed nations have regulatory policies, technological knowhow and modern infrastructure to adopt CSC model. Their counterpart is trailing in these aspects. In literature, limited work has been performed on identifying challenges of implementing CSC in developing nations. Therefore, employing literature review and feedback received from experts, 16 important barriers were identified to CSC adoption in India. These barriers were analysed using integrated Interpretive Structural Modelling ? MICMAC approach. The findings will contribute in transforming supply chains thereby bringing economic prosperity, addressing global warming and generating employment opportunities. Finally, crucial policy measures and recommendations are proposed to assist managers and government bodies.

Purpose: The purpose of this study is to explore the potential of technologies for traceability within the Swedish textile recycling industry. This study further aims to investigate the status of information collection and management in the textile recycling industry and the factors which are affecting the implementation of different traceability technologies, such as blockchain technology.   Design/ Methodology/ Approach: This study followed a qualitative exploratory approach as there is little prior knowledge regarding usage of traceability technologies, such as blockchain technology in the Swedish textile recycling industry. Primary data was collected by semi-structured interviews, and it was analysed through thematic analysis. Purposive sampling was used to collect relevant data. The sample included experts from the academia and industry, who have knowledge in the field of textile recycling and traceability technologies.   Findings: The findings suggest that there is no available information collection and management systems that enable efficient recycling processes. Moreover, there is a lack of infrastructure for collecting and sorting the textile waste, cost and technological challenges hampering the potential of efficient textile recycling and the possibility to create an efficient circular supply chain in Sweden. There are four factors which affect the opportunities and challenges for implementation of traceability technologies, such as blockchain technology, these are: management and decision making, integration and collaboration, rules and regulations and value creation through blockchain in the textile recycling industry.   Implications: This study may contribute to reshaping the traditional view on where traceability technologies can be implemented to create efforts to enhance the circular economy principles, as suggested by literature from the previous stages in a supply chain. This study suggests that blockchain technology may enhance information sharing in a circular supply chain within the textile recycling industry. It further shows that the textile recyclers have the potential to implement blockchain technology from their stage to minimise the information gaps which are currently existing.   Originality/ Value: The academic literature lacks practical cases and exploration regarding the usage of traceability technologies such as blockchain technology at the textile recycling stage and this study tries to explore if it would be beneficial for the textile recycling industry in Sweden.

Yes / The traditional linear economy using a take‐make‐dispose model is resource intensive and has adverse environmental impacts. Circular economy (CE) which is regenerative and restorative by design is recommended as the business model for resource efficiency. While there is a need for businesses and organisations to switch from linear to CE, there are several challenges that needs addressing such as business models and the criticism of CE projects often being small scale. Technology can be an enabler toward scaling up CE; however, the prime challenge is to identify technologies that can allow predicting, tracking and proactively monitoring product's residual value to motivate businesses to pursue circularity decisions. In this paper, we propose an IoT‐enabled decision support system (DSS) for CE business model that effectively allows tracking, monitoring, and analysing products in real time with the focus on residual value. The business model is implemented using an ontological model. This model is complemented by a semantic decision support system. The semantic ontological model, first of its kind, is evaluated for technical compliance. We applied DSS and the ontological model in a real‐world use case and demonstrate viability and applicability of our approach.