Outcomes

Explore the latest digital transformation and open innovation publications, frameworks, briefs, roadmaps, concepts, and training developed by the EINST4INE team and our consortium of partners.

Publication

Ecosystem effectuation: creating new value through open innovation during a pandemic

Publication

Digital transformation, for better or worse: a critical multi-level research agenda

Publication

Functional mimicry of Ruffini receptors with fibre Bragg gratings and deep neural networks enables a bio-inspired large-area tactile-sensitive skin

Abstract

Adoption of AI tools into decision-making processes

Abstract

Managerial competencies for Industry 4.0 and implications for social sustainability

Abstract

Technology Social Ventures as Social Change Actors – an Innovation Ecosystem Perspective

Abstract

Technology Social Ventures: A managerial perspective across sectors in Europe

Publication

Tactile sensors for Material recognition in Social and Collaborative Robots: A brief review

Abstract

Inter-organizational Orchestration: a systematic literature review

Book Chapter

ARENA2036: A Collaborative Space for the Future of Mobility and Production

Abstract

An integrated view of ecosystem emergence – A systematic review of structure, processes and outputs

Abstract

Orchestrating the future of production and mobility

Abstract

Exploring Human Replacement: A Literature Review on Robo-Advice

Abstract

An integrated view of ecosystem emergence – A systematic review of structure, processes and outputs

Abstract

Orchestrating the future of production and mobility

Roadmaps

Concepts

Concepts

Roadmaps

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EINST4INE: The European Training Network for InduStry Digital Transformation across Innovation Ecosystems

Einst4ine (at) rmit.edu.au

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 956745. Results reflect the author’s view only. The European Commission is not responsible for any use that may be made of the information it contains.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 956745.

Results reflect the author’s view only. The European Commission is not responsible for any use that may be made of the information it contains.