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The purpose of this study is to explore the required changes, outline business potential and envisage the key steps that a networked manufacturing industry needs to take to reach more sustainably performing manufacturing in the future.

The paper utilises a visionary road-mapping approach to study the required changes and the business potential related to sustainable development in the manufacturing industry.

The results were summarised in three sub-roadmaps empowerment of stakeholders, increase efficiency and creation of new performance criteria. On the basis of the summary of the sub-roadmaps, the framework was configured to describe the opportunities and challenges of sustainable business development in the European manufacturing industry.

A clear implication of this study is that a more system-oriented approach, new models for collaboration between network actors and transparently shared network-level KPIs are required before further steps towards a sustainable manufacturing industry can be taken. In addition, sustainability-driven business models are required to specify these changes concretely.

The presented sub-roadmaps and framework summarising them could provide new insights to business practitioners exploring business potential of sustainability.

Understanding about the road-mapping process as tool that enables interaction and envisioning between different stakeholders could also have social implications supporting shared industry-level learning processes.

Studies of sustainability within the manufacturing industry have focused mainly on green issues in supply-chain management or corporation-level governance models and reporting practices. The paper presents a broader view of sustainable development and recognises networked business as part of the solution.

This study aims to define orchestrator roles and related orchestration capabilities in the entrepreneurial ecosystem (EE) to understand how companies (especially small and medium-sized enterprises and startups) could benefit from the surrounding ecosystem to develop their business.

A qualitative case study of the regional ecosystem built around health technology is researched to get an in-depth understanding of the orchestration roles taken by actors in the ecosystem and, likewise, related bundles of orchestrator role-specific capabilities.

Altogether, eight roles and related orchestration capabilities are defined. First, “opinion leaders,” “business facilitators” and “regulation informants” provide resources for participants. Second, “relationship promoters,” “coordinators” and “commanders” create prerequisites for collaboration. Finally, “integrators” and “complementors” help to create concrete offerings. The roles taken can be simultaneous, and they are in constant change as positions and resources of actors change.

Theoretically, this study contributes to the existing EE and orchestration capability research by studying orchestrator roles and related capabilities in the context of an entrepreneurial health tech ecosystem, a phenomenon that has not received sufficient research attention yet.

Managers will be able to use the lessons learned from this study in understanding, using and developing their capabilities, positions and activities in the network. For policymakers, understanding EE reality and dynamics is useful when developing policies for regional growth, likewise in constructing and developing industrial ecosystems to support entrepreneurship in the region.

The study provides novel in-depth knowledge of orchestration in regional, EEs. It complements the currently dominating conceptual research and brings a micro-level perspective that has mostly been lacking in EE studies.

This paper aims to identify such “entrepreneurial skills” that the scientific community can develop within themselves through training and practice to improve their academic research translation capabilities and performance.

From a qualitative perspective, this study currently presents a few findings from some of the best government-funded laboratories in India and Japan, where they are training their young researchers to be world-class scientists as well as entrepreneurs to help them commercialize their scientific research findings from lab to market for societal benefit.

This paper intends to focus on identifying some of the “best practices” in developing such capabilities that allow “entrepreneurial scientists” to take their science to the society through entrepreneurship. This paper presents two exemplary case studies about institutions that are trying to build innovation and entrepreneurship capabilities in their research groups through continuous training and practice in the fields of biotechnology (India) and autonomous transportation (Japan).

Policymakers and top management teams at academic institutions can learn from the “best practices” on envisioning, evaluation and execution skills for designing their innovation and entrepreneurship skill-building programs for their scientific community.