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À seulement dix ans de l’échéance fixée pour atteindre les Objectifs de développement durable (ODD), les agences et organisations de développement ont besoin d’innover rapidement dans leurs approches en matière de processus décisionnels et de résolution des problèmes. De nouveaux enseignements et de nouvelles conceptions, nés des usages émergents des technologies, peuvent servir de vecteurs à certaines innovations. Ce document d’orientation applique le nouveau paradigme des intelligences – qui comprend l’intelligence des données, l’intelligence artificielle, l’intelligence collective et l’intelligence incorporée – pour présenter une vue d’ensemble des risques et bénéfices associés à différents usages émergents des technologies aux praticiens du développement ainsi qu’aux responsables et décideurs politiques. Ces analyses sont, dans la mesure du possible, illustrées d’exemples issus du terrain. Nous recommandons dans ce Policy Paper de créer un cadre décisionnel pour aider les praticiens à déterminer s’ils doivent investir dans des technologies émergentes et comment ces dernières peuvent être efficacement mises au service des objectifs de développement. Cette première itération du cadre décisionnel cherche à définir précisément les objectifs de développement pertinents tout en prenant en compte le contexte existant avant d’aborder la question des solutions en évaluant la maturité, les défis, les implications financières et les risques posés par l’usage des technologies, ainsi que la présence de facteurs limitants et de catalyseurs qui pourraient en moduler l’impact et l’adéquation.
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À seulement dix ans de l’échéance fixée pour atteindre les Objectifs de développement durable (ODD), les agences et organisations de développement ont besoin d’innover rapidement dans leurs approches en matière de processus décisionnels et de résolution des problèmes. De nouveaux enseignements et de nouvelles conceptions, nés des usages émergents des technologies, peuvent servir de vecteurs à certaines innovations. Ce document d’orientation applique le nouveau paradigme des intelligences – qui comprend l’intelligence des données, l’intelligence artificielle, l’intelligence collective et l’intelligence incorporée – pour présenter une vue d’ensemble des risques et bénéfices associés à différents usages émergents des technologies aux praticiens du développement ainsi qu’aux responsables et décideurs politiques. Ces analyses sont, dans la mesure du possible, illustrées d’exemples issus du terrain. Nous recommandons dans ce Policy Paper de créer un cadre décisionnel pour aider les praticiens à déterminer s’ils doivent investir dans des technologies émergentes et comment ces dernières peuvent être efficacement mises au service des objectifs de développement. Cette première itération du cadre décisionnel cherche à définir précisément les objectifs de développement pertinents tout en prenant en compte le contexte existant avant d’aborder la question des solutions en évaluant la maturité, les défis, les implications financières et les risques posés par l’usage des technologies, ainsi que la présence de facteurs limitants et de catalyseurs qui pourraient en moduler l’impact et l’adéquation.
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Social businesses, despite having a huge potential to generate substantial and sustainable value, are often structurally and financially fragile. Technological interventions, such as social media analytics, big data, Internet of Things, and blockchain can help social businesses by leveraging the practices towards financial and operational sustainability. This study is the first of its kind in that it analyses existing scholarly works on social businesses using bibliometric analysis. In so doing, this paper presents an in-depth statistical analysis of the literature on technological interventions in sustainable social business, showcasing the development of the scholarship, major themes, and possible future research trajectories. The SCOPUS database is used to identify a large section of articles. The study shows that most of the work in social business has been done by scholars based in developed countries, with limited contributions emanating from developing countries. The study proposes a framework for the use of technology in sustainable social businesses with focus areas of research such as social innovation, digital technology, information systems, and decision making for sustainability. The results show that digital technologies are increasingly being accepted as tools for the sustainability and scalability of social businesses. The paper offers useful recommendations for future research in relevant fields.
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Recent years have seen a surge of interest in prefigurative politics, which refers to the political strategies that model a future society on a micro level and aim to instantiate radical social change in and through practice. While most previous studies have focused on defining the concept and categorizing various types of prefiguration, this paper contributes by investigating under what circumstances prefiguration leads to revolutionary social change. The paper takes an original approach to these issues by turning to transition studies and the socio-technical change literature. This field focuses on the technical equivalence of prefiguration: namely, the relationship between small-scale niche innovations and large-scale technological transitions. Through theoretical discussions and empirical illustrations, this paper presents a typology of five transition pathways through which prefigurative strategies may result in a range of social change outcomes from reformative to revolutionary transformation.
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Recent years have seen a surge of interest in prefigurative politics, which refers to the political strategies that model a future society on a micro level and aim to instantiate radical social change in and through practice. While most previous studies have focused on defining the concept and categorizing various types of prefiguration, this paper contributes by investigating under what circumstances prefiguration leads to revolutionary social change. The paper takes an original approach to these issues by turning to transition studies and the socio-technical change literature. This field focuses on the technical equivalence of prefiguration: namely, the relationship between small-scale niche innovations and large-scale technological transitions. Through theoretical discussions and empirical illustrations, this paper presents a typology of five transition pathways through which prefigurative strategies may result in a range of social change outcomes from reformative to revolutionary transformation.
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Purpose: By taking a micro-level perspective, this paper aims to examine the influence of the ongoing paradigm shift from technological to social innovation on principal investigators (PIs) and thereby links the two emerging research fields of entrepreneurial ecosystems and social innovation. The purpose of this paper is to build the basis for future empirical analyses. Design/methodology/approach: The paper is a conceptual paper and therefore focuses on theoretical considerations. Taking a quadruple helix approach, PIs are outlined as central actors of entrepreneurial ecosystems and transformative agents of the innovation process. Findings: PIs can proactively shape the innovation process and thus the shift from technological to social innovation, through various channels. They can affect all other actors of the quadruple helix, e.g. by exerting influence on the process of scientific change, on the public opinion and/or on the industry partners. Further, the paradigm shift might change the universities' role in the quadruple helix, substantiating their importance in the process of social change. Practical implications: As PIs are influencing all other actors of the quadruple helix, they are central actors of entrepreneurial ecosystems and thus crucial players in the innovation process. Hence, they need to be supported in fulfilling their role of transformative agents, accelerating and shaping the paradigm shift from technological to social innovation. Universities should therefore reconsider their missions and vision as well as their role within the society. Originality/value: This paper considers the influence of an ongoing paradigm shift from technological to social innovation on entrepreneurial ecosystems. This work focuses especially on the PIs' role as transformative agents. Therefore, it builds a bridge from entrepreneurial ecosystems to social innovation and thus contributes to both research fields. Moreover, the paper shows the great potential of PIs to influence and shape social innovation.
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Purpose: By taking a micro-level perspective, this paper aims to examine the influence of the ongoing paradigm shift from technological to social innovation on principal investigators (PIs) and thereby links the two emerging research fields of entrepreneurial ecosystems and social innovation. The purpose of this paper is to build the basis for future empirical analyses. Design/methodology/approach: The paper is a conceptual paper and therefore focuses on theoretical considerations. Taking a quadruple helix approach, PIs are outlined as central actors of entrepreneurial ecosystems and transformative agents of the innovation process. Findings: PIs can proactively shape the innovation process and thus the shift from technological to social innovation, through various channels. They can affect all other actors of the quadruple helix, e.g. by exerting influence on the process of scientific change, on the public opinion and/or on the industry partners. Further, the paradigm shift might change the universities' role in the quadruple helix, substantiating their importance in the process of social change. Practical implications: As PIs are influencing all other actors of the quadruple helix, they are central actors of entrepreneurial ecosystems and thus crucial players in the innovation process. Hence, they need to be supported in fulfilling their role of transformative agents, accelerating and shaping the paradigm shift from technological to social innovation. Universities should therefore reconsider their missions and vision as well as their role within the society. Originality/value: This paper considers the influence of an ongoing paradigm shift from technological to social innovation on entrepreneurial ecosystems. This work focuses especially on the PIs' role as transformative agents. Therefore, it builds a bridge from entrepreneurial ecosystems to social innovation and thus contributes to both research fields. Moreover, the paper shows the great potential of PIs to influence and shape social innovation.
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Society is at a crossroads. Interconnected systems, radical transparency, and rapidly increasing sophistication in skills, communications, and technologies provide a unique context for fostering social innovation at a planetary scale. We argue that unprecedented rates of systemic social change are possible for co-creating a future where humans and all life can thrive. Yet, this requires innovation in the conceptions, practice, teaching, and researching of social innovation itself to reimagine what it is and can be. As a multidisciplinary group of academics, practitioners, and educators, we integrate our perspectives on social innovation and humanistic management to suggest the notion of systemic social innovation. We introduce the concept of “transformative collaboration” as central to facilitating systemic social innovation and propose a multilevel model for accelerating systems change. We then develop an integrated framework for conceptualizing systemic social innovation. Four levels of social impact are identified, and these levels are bracketed with a call for transforming individual consciousness at the micro level and new collective mindsets at the macro level. Blooom is presented as a case study to illustrate transformative collaboration, demonstrate the role of mindset shift in practice, and introduce four key ingredients to systemic social innovation. Finally, a call to action is issued for social innovation practice, teaching, and research. Most importantly, we seek to inspire and accelerate systemic social innovation that enables the flourishing of every human being and all life on earth.
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Society is at a crossroads. Interconnected systems, radical transparency, and rapidly increasing sophistication in skills, communications, and technologies provide a unique context for fostering social innovation at a planetary scale. We argue that unprecedented rates of systemic social change are possible for co-creating a future where humans and all life can thrive. Yet, this requires innovation in the conceptions, practice, teaching, and researching of social innovation itself to reimagine what it is and can be. As a multidisciplinary group of academics, practitioners, and educators, we integrate our perspectives on social innovation and humanistic management to suggest the notion of systemic social innovation. We introduce the concept of “transformative collaboration” as central to facilitating systemic social innovation and propose a multilevel model for accelerating systems change. We then develop an integrated framework for conceptualizing systemic social innovation. Four levels of social impact are identified, and these levels are bracketed with a call for transforming individual consciousness at the micro level and new collective mindsets at the macro level. Blooom is presented as a case study to illustrate transformative collaboration, demonstrate the role of mindset shift in practice, and introduce four key ingredients to systemic social innovation. Finally, a call to action is issued for social innovation practice, teaching, and research. Most importantly, we seek to inspire and accelerate systemic social innovation that enables the flourishing of every human being and all life on earth.
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Cet article étudie les caractéristiques des structures de transfert technologique et des laboratoires d’innovation ouverte gérés par les universités et organismes de recherche. Il compare leurs rôles comme intermédiaires des relations science–entreprises en fonction des modes 2 et 3 de production des connaissances proposés par Etzkowitz & al (1997) et Carayannis & al (2009). Basée sur une comparaison de cas multiples en France, nous analysons leur rôle dans le développement des relations science-entreprise. Cet article identifie aussi les modes de coordination entre ces deux types d’intermédiaires. Dans certains cas, ils coordonnent leurs activités de manière ponctuelle alors que, dans d’autres cas, la complémentarité de leurs activités s’organise sur la durée.
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Sujet
- Technologie
- Changement social (2)
- Co-création (2)
- Collaboration transformatrice (2)
- Data collaboratives (2)
- Données ouvertes (2)
- Entrepreneurial (2)
- Entreprise sociale (1)
- Europe (1)
- France (1)
- Histoire (2)
- Impact (2)
- Innovation ouverte (2)
- Innovation sociale (4)
- Innovation sociale systémique (2)
- Innovation technologique (2)
- Intelligence artificielle (2)
- Intelligence collective (2)
- Intelligence de données (2)
- Intelligence incorporée (2)
- Investissement (2)
- Libre accès (2)
- Mouvement social (2)
- numérique (1)
- Objectifs de développement durable (2)
- ONU (2)
- Politiques (2)
- Quadruple helix approach (2)
- Recherche (1)
- Réservé UdeM (8)
- Risques (2)
- Rôle des universités (1)
- Science politique (2)
- Social business model (1)
- Statistiques (1)
- Systemic social innovation (2)
- Transfert (1)
- Transition (2)
- Université (2)
- Valorisation (1)
Type de ressource
1. Idéation, dialogue et maillages
- 1.3 Dialogue (1)
4. Déploiement, valorisation, pérennisation
5. Évaluation, retombées et impacts
- 5.1 Théories (1)