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This chapter advances our understanding of collaborative innovation processes that span across organizational boundaries by providing an ethnographic account of idea generation dynamics in a member-initiated online songwriting community. Applying a science and technology studies perspective on processes “in the making,” the findings of this chapter reveal the generative entanglements of three processes of content-in-the-making, skill-in-the-making, and community-in-the-making that were triggered and maintained over time by temporary stabilizations of provisional, interim outcomes. These findings also elucidate interferences between these three processes, particularly when an increased focus on songs as products undermines the ongoing collaborative production of ideas. Regular interventions in the community design were necessary to simultaneously stimulate the three processes and counteract interfering tendencies that either prioritized content production, community building, or skill development, respectively. The authors conclude that firms seeking to tap into online communities’ innovative potential need to appreciate community and skill development as creative processes in their own right that have to be fostered and kept in sync with content production.

The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?

This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.

Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.

Much recent work on hybrids has focused on the strategies and practices these organizations develop to manage the institutional contradictions associated with straddling competing logics. Less attention has been paid to what we call the liability of novelty, defined as the heightened institutional challenges new hybrid forms face both internally and externally. These, we argue, go beyond the liability of newness commonly associated with new venture formation. In this chapter, we use the case of Incubate, a Muslim social incubator in Germany. This case is particularly instructive insofar as Incubate is a hybrid in both substance and mode of organizing: Its mission integrated domains of religion, commerce, and community, and its mode of organizing straddled the digital–analog divide. Neither Incubate’s members, nor its external stakeholders could rely on existing institutional templates to make sense of it. It was not only organizationally new, but also institutionally novel. As a consequence, it experienced what we distinguish as descriptive and evaluative challenges. It was both “not understood” and “not accepted.” This chapter outlines four practices to address these challenges: codifying, crafting, conforming, and configuring, and categorizes them along internal versus external as well as forming versus transforming dimensions.