Objective
The project “For a Better Tomorrow: Social Enterprises on the Move (FAB-MOVE)” brings together researchers and practitioners in order to explore the question of how social enterprises can grow and flourish. These objectives will be achieved through a carefully crafted network of academic and non-academic partner organisations co-operating worldwide.
Managers and practitioners of social enterprises often lack an easy access to the frontiers of science. FAB-MOVE will significantly improve the transfer of knowledge between academics and non-academics and thus increase the practical applicability of research findings. For an enduring sustainable impact, FAB-MOVE develops a teaching tool to educate (future) managers of social enterprises on how to set up their enterprise in a specific environment, how to combine business with a social goal, and how to develop strategies for growth and scaling-up.
Currently there is a lack of knowledge about the influence of different social and economic environments on social enterprises. Local eco-systems and traditions have a decisive impact on the wellbeing, growth and potentials for scaling-up of social enterprises. FAB-MOVE focuses on the embeddedness of social enterprises and its impact on their evolution. It identifies crucial success factors for a sustainable development of these new and innovative organisations in an internationally comparative perspective.
Thoroughly analysed case studies will serve as best practices by highlighting how social enterprises overcome crucial problems and manage to grow in different social areas and various regions around the world. In particular, the cases will shed light on how managers of social enterprises cooperate with stakeholders and how their environment composed of promoting actors and existing (political) structures meet their needs in order to improve social cohesion all over Europe.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Coordinator
48149 MUENSTER
Germany
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Participants (20)
87036 Arcavacata Di Rende
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95131 Catania
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G4 0BA Glasgow
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00-927 Warszawa
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75341 Paris
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Participation ended
5230 Odense M
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1020 Wien
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75190 RISHON LEZION
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41004 Sevilla
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10969 BERLIN
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
96100 Siracusa
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41005 SEVILLA
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200 73 MALMO
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LYON
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03-982 Warszawa
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1040 Wien
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KIRYAT ONO
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
PA15 1JZ GREENOCK
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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21422 MALMO
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Partners (7)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1644 Victoria Buenos Aires
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
11440 JAKARTA
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
7535 Cape Town
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
20057 Washington Dc
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
100875 BEIJING
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
960 4050 ALAJUELA
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
K7L 3N6 Kingston
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