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Repurposing concerns the reuse of products or materials for a different purpose from its original function, creating material flows between distinct supply chains. This circular economy activity reduces waste and creates new value. It remains scarcely explored in the literature and often limited to a small scale in practice. This paper proposes an extended approach to model circular supply chains considering repurposing as a firstclass citizen. A hierarchical framework of the principal circular economy activities including repurposing activities is introduced first. The framework is then integrated into an extended model that conceptualizes the circular supply chain structure in a generic way. The proposed model allows to represent and analyze the material flows as well as the activities of circular supply chains.

Business process design and monitoring are essential elements of Business Process Management (BPM), often relying on Service Oriented Architectures (SOA). However the current BPM approaches and standards have not sufficiently reduced the Business-IT gap. Today's solutions are mostly domain-independent and platform-dependent, which limits the ability of business matter experts to express business intent and enact process change. In contrast, the approach presented in this paper focuses on BPM and SOA environments in a domain-dependent and platform-independent way. We propose to add a domain specificlayer on top of current solutions so business stakeholders can design and understand their processes in a more intuitive way. We rely on previously proposed technical solutions and integrate them in an end-to-end methodology (from design to monitoring and back). The appropriateness and the feasibility of the approach is justified through a use case and a complete prototype implementation.

Purpose Domain-specific process modeling has been proposed in the literature as a solution to several problems in business process management. The problems arise when using only the generic Business Process Model and Notation (BPMN) standard for modeling. This language includes domain ambiguity and difficult long-term model evolution. Domain-specific modeling involves developing concept definitions, domain-specific processes and eventually industry-standard BPMN models. This entails a multi-layered modeling approach, where any of these artifacts can be modified by various stakeholders and changes done by one person may influence models used by others. There is therefore a need for tool support to keep track of changes done and their potential impacts. The paper aims to discuss these issues. Design/methodology/approach The authors use a multi-context systems-based approach to infer the impacts that changes may cause in the models; and alsothe authors incrementally map components of business process models to ontologies. Findings Advantages of the framework include: identifying conflicts/inconsistencies across different business modeling layers; expressing rich information on the relations between two layers; calculating the impact of changes taking place in one layer to the rest of the layers; and selecting incrementally the most appropriate semantic models on which the transformations can be based. Research limitations/implications The authors consider this work as one of the foundational bricks that will enable further advances toward the governance of multi-layer business process modeling systems. Extensive usability tests would enable to further confirm the findings of the paper. Practical implications The approach described here should improve the maintainability, reuse and clarity of business process models and in extension improve data governance in large organizations. The approaches described here should improve the maintainability, reuse and clarity of business process models. This can improve data governance in large organizations and for large collections of processes by aiding various stakeholders to understand problems with process evolutions, changes and inconsistencies with business goals. Originality/value This paper fulfills an identified gap to enabling semantically aided domain–specific process modeling.

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This paper presents an intentional-based modelling method aimed to support the analysis, the diagnosis and innovations for socio-technical ecosystems. Understanding and improving socio-technical ecosystems is still indeed a major challenge in the information systems domain. Current information systems' methods do not consider the particularities of socio-technical ecosystems where breakthrough innovation is not always possible. The proposed method called ADInnov aims at guiding a continuous innovation cycle in socio-technical ecosystems by focusing on the resolution of their blocking points. It combines different user-centred techniques such as interviews, serious games or storyboarding. The method, represented with the MAP formalism, results from the lessons learned in a healthcare domain project (InnoServ). Through an empirical study, project managers evaluated the method appropriateness.

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