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This project proposes a set of requirements for the implementation of a blockchain based traceability solution for the textile industry to support the transition from linear to circular. The study includes the Scenarios, the User Needs and the Use Cases required to develop a software platform and their corresponding services. The textile industry is one of the most pollutant industries in the world, causing irreversible impacts to the environment and society. The new market trends, policies and conscious consumers demand for a more sustainable, collaborative and transparent model. Innovation, digitalization and new technologies can help on the transition from linear to circular to overcome the complexity and opaqueness of the textile supply chain. Specifically, blockchain based solutions that can improve transparency and traceability due to their inherent functioning. A collaborative methodology has been designed in order to get the all perspectives for the supply chain actors and from all the stakeholders interested and relevant for the solution. Consisting on set of user experience focused interviews, questionnaires and workshops, the necessary data for the platform development has been collected. Data has been compiled on a set of scenarios, user needs and project implementation possible barriers. The scenarios are based on the common interests of the different stakeholders, and they describe the desired solution, reflecting the complexity of the solution and of the sector. The proposed Use Cases for software implementation contemplate the different types of usage of the traceability solution. The Use Cases are complemented with the product vision for the platform which broads the description of the expected solution from the user perspective. In order to face the different barriers and challenges, a de-risking proposal is also proposed. This project gives a whole framework for implementing a traceability solution accounting the challenges and proposes detailed s

Purpose – The complexity and resulting opacity of TC supply chains, and the fragmentation of approaches to traceability to address these issues, revealed the necessity of collaboration for traceability in TC supply chains. Although the challenges have been explored in literature and practice, it has been left unstudied how collaboration can overcome these challenges. Further, current literature is limited to focus on buyer-supplier relationships rather than the inclusion of external supply chain (SC) actors despite their important role in the implementation of SC traceability. Acknowledging the need for broadening the perspective from dyad to network level, the purpose of this study is to examine collaborative relationships for implementing traceability in the extended TC supply chain network, and thus identify collaborative challenges and possible improvement opportunities. Design/methodology/approach – This research was based on a multiple case study method of three relationship types considering primary data from semi-structured interviews and documentary secondary data related to the studied organizations. While embracing an abductive approach by extending the AARI framework by Welch and Wilkinson (2002) to the context of traceability in TC supply chains, the data analysis followed the Grounded Theory methodology of open, axial and selective coding. The findings of the dyadic relationships were discussed by their substance layers and cross-case comparison. Findings – Through the extended model, the findings shed light on the role of collaborative relationships in the implementation of SC traceability and their interconnectedness on the network level. Based on developing preconditions for dyadic relationships, deductions for the network level could be made. Further, the essential role of external SC actors for the implementation of traceability in the TC supply chain network indicated the necessity of considering collaboration with the extended network. Consequen