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Qu’est-ce que la mesure d’impact social ? Comment mesurer son impact social ? Pourquoi l’évaluer ? Pour qui ? Quelle approche utiliser ? Qui est actif dans le domaine ? Quelles sont les méthodes ? Quels sont les indicateurs ? Que peut-on dire sur l’impact de l’économie sociale au Québec à ce jour ? Ces questions vous interpellent ? Le TIESS dévoile aujourd’hui un

The Schwab Foundation for Social Entrepreneurship launched its 2020 Impact Report which showcases the collective impact of the Schwab Foundation social entrepreneur community.

Quelles sont les conditions de la maximisation de l’impact, et notamment sa pérennisation, du mécénat de compétence tech au profit des organisations dont la mission relève directement et prioritairement de la gestion du bien commun au service de l’intérêt général ? Telle est la question de recherche que la Fondation Devoteam a posée à l’ESSEC au moment de la mise en place de son programme #TechFor-People, afin de s’assurer de la pertinence de ce programme pour répondre aux besoins sur le long terme des structures de l’ESS (Économie Sociale et Solidaire) en transformation digitale. Afin de répondre à cette problématique l’ESSEC a réalisé une évaluation d’impact social fondée sur les cadres théoriques de la théorie du changement et de la théorie des parties prenantes, avec l’analyse de besoin, une collecte de données qualitatives ex-ante ainsi qu’une collecte de données quantitative ex-ante et ex-post. L’analyse de ces collectes révèle une dichotomie spécifique aux structures de l’ESS utilisant le programme que nous avons catégorisées en Tech Driven d’une part, ou Tech Powered d’autre part, avec des besoins et des conditions de pérennisation spécifiques en fonction de la catégorie qui leur correspond.

L’objectif de ce rapport (rédigé notamment par Fabiano Armellini et Sophie Veilleux) est de présenter les meilleures pratiques, les indicateurs de succès ainsi que les mesures d’impact des événements d’innovation ouverte sur leurs écosystèmes respectifs. Ainsi, chaque acteur est en mesure d’optimiser sa participation afin d’en retirer un maximum de bénéfices et d’en faire profiter son écosystème. Ce rapport offre aussi plusieurs recommandations.

Une théorie du changement est un outil qui vous aide à décrire les changements que vous voulez voir se produire et la manière dont vous comptez y parvenir. Plus spécifiquement, elle vous aide à décrire le problème que vous essayez de résoudre, les changements que vous voulez opérer (vos résultats) et ce que vous allez mettre en place pour pouvoir y arriver (activités). Elle est une représentation dynamique et une illustration du comment et du pourquoi il est envisagé que le changement désiré s’opère dans un contexte particulier.

Découvrez et téléchargez l'impact gaps canvas qui aidera les entrepreneurs d'impact à comprendre et valider votre impact. Une théorie du changement est un outil qui vous aide à décrire les changements que vous voulez voir se produire et la manière dont vous comptez y parvenir. Plus spécifiquement, elle vous aide à décrire le problème que vous essayez de résoudre, les changements que vous voulez opérer (vos résultats) et ce que vous allez mettre en place pour pouvoir y arriver (activités). Elle est une représentation dynamique et une illustration du comment et du pourquoi il est envisagé que le changement désiré s’opère dans un contexte particulier.

Social innovation and high-quality agricultural systems are important for rural development. However, there is little information on methods for measuring the process and outcome of social innovation, particularly at the regional level. This study aimed to answer the research question: Which social innovation metrics can be applied to analyze rural development at the regional level? We carried out a systematic review of the literature on factors and indicators of social innovation, assessed the characteristics of social innovation in value-added agricultural production systems in developed countries, and proposed social innovation indicators for evaluating value-added agricultural systems in developing countries. Key elements of the process and outcome dimensions of social innovation were identified and used to generate factors, subfactors, indicators, and subindicators. The literature review showed that more research is needed on the outcomes of social innovation. Future studies should investigate the social transformations promoted by rural tourism and biodiversity valorization.

Social innovation and high-quality agricultural systems are important for rural development. However, there is little information on methods for measuring the process and outcome of social innovation, particularly at the regional level. This study aimed to answer the research question: Which social innovation metrics can be applied to analyze rural development at the regional level? We carried out a systematic review of the literature on factors and indicators of social innovation, assessed the characteristics of social innovation in value-added agricultural production systems in developed countries, and proposed social innovation indicators for evaluating value-added agricultural systems in developing countries. Key elements of the process and outcome dimensions of social innovation were identified and used to generate factors, subfactors, indicators, and subindicators. The literature review showed that more research is needed on the outcomes of social innovation. Future studies should investigate the social transformations promoted by rural tourism and biodiversity valorization.

Quelles sont les conditions de la maximisation de l’impact, et notamment sa pérennisation, du mécénat de compétence tech au profit des organisations dont la mission relève directement et prioritairement de la gestion du bien commun au service de l’intérêt général ? Telle est la question de recherche que la Fondation Devoteam a posée à l’ESSEC au moment de la mise en place de son programme #TechFor-People, afin de s’assurer de la pertinence de ce programme pour répondre aux besoins sur le long terme des structures de l’ESS (Économie Sociale et Solidaire) en transformation digitale. Afin de répondre à cette problématique l’ESSEC a réalisé une évaluation d’impact social fondée sur les cadres théoriques de la théorie du changement et de la théorie des parties prenantes, avec l’analyse de besoin, une collecte de données qualitatives ex-ante ainsi qu’une collecte de données quantitative ex-ante et ex-post. L’analyse de ces collectes révèle une dichotomie spécifique aux structures de l’ESS utilisant le programme que nous avons catégorisées en Tech Driven d’une part, ou Tech Powered d’autre part, avec des besoins et des conditions de pérennisation spécifiques en fonction de la catégorie qui leur correspond.

Academic literature about the idea of social innovation grew sharply over the last decade, with researchers trying to define its concept and presenting several examples of successful social innovations. However, to support the development of social innovation initiatives is important to have a conceptual framework that allows evaluating its true impact. The purpose of this paper is to identify the boundary conditions for an effective set of social innovation indicators, which will help to have a more informed decision-making process. The main conclusion is that the impact of social innovations can be conceived as a set of results that manifests itself through different time periods, at different spatial scales, and must take into account the value experienced by all stakeholders involved. Thus, since a positive social innovation outcome depends on diverse factors and conditions, being most often context-dependent, it means that rather than imposing a specific set of indicators, based on a ‘one-size-fits-all’ approach a measuring process procedure should be adopted to assess the impact of social innovations.

Widening income and knowledge inequalities have led to growing expectations for universities to integrate social innovation in their core missions as a response to societal problems. This systematic review of literature provides an overview of the state-of-the-art of knowledge on the role of the university in enabling social innovation through its missions of teaching, research and third mission. It also identifies knowledge gaps in the field. A bibliometric approach wasused to identify and analyze books, journal articles and reports examining factors driving social innovation activities at universities, organizational and insitutional change to accommodate such activities as well as their impact. The review reveals that the literature on university engagement in socially-oriented activities as part of the third mission of the university is conceptually well developed and a growing field of inquiry. It also points to gaps in the knowledge base; relatively few studies address issues related to institutional change and incentive structures that influences the ability of universities to engage in social innovation. Likewise, impact studies on social innovation activities at universities are scarce. Further research that builds an impact measurement framework would support the process of integrating social innovation activities in the three missions of the university.

Widening income and knowledge inequalities have led to growing expectations for universities to integrate social innovation in their core missions as a response to societal problems. This systematic review of literature provides an overview of the state-of-the-art of knowledge on the role of the university in enabling social innovation through its missions of teaching, research and third mission. It also identifies knowledge gaps in the field. A bibliometric approach wasused to identify and analyze books, journal articles and reports examining factors driving social innovation activities at universities, organizational and insitutional change to accommodate such activities as well as their impact. The review reveals that the literature on university engagement in socially-oriented activities as part of the third mission of the university is conceptually well developed and a growing field of inquiry. It also points to gaps in the knowledge base; relatively few studies address issues related to institutional change and incentive structures that influences the ability of universities to engage in social innovation. Likewise, impact studies on social innovation activities at universities are scarce. Further research that builds an impact measurement framework would support the process of integrating social innovation activities in the three missions of the university.

Academic literature about the idea of social innovation grew sharply over the last decade, with researchers trying to define its concept and presenting several examples of successful social innovations. However, to support the development of social innovation initiatives is important to have a conceptual framework that allows evaluating its true impact. The purpose of this paper is to identify the boundary conditions for an effective set of social innovation indicators, which will help to have a more informed decision-making process. The main conclusion is that the impact of social innovations can be conceived as a set of results that manifests itself through different time periods, at different spatial scales, and must take into account the value experienced by all stakeholders involved. Thus, since a positive social innovation outcome depends on diverse factors and conditions, being most often context-dependent, it means that rather than imposing a specific set of indicators, based on a ‘one-size-fits-all’ approach a measuring process procedure should be adopted to assess the impact of social innovations.

Discusses the measurement of innovation and the use of the resulting indicators to shape policy, exploring whether innovation can be measured everywhere, not just in the business sector, in a rapidly changing world. Reviews systems, innovation, and innovation policy. Details current innovation policies. Describes scoreboards and their use for monitoring existing innovation policy. Focuses on the implementation of innovation policy. Presents the general definition of innovation applicable in all economic sectors and considers the importance of language in the innovation discourse. Provides the conceptual framework for the specification of the statistical measurement of innovation. Addresses non-sector-specific innovation in the informal economy, green economy, social innovation, and innovation resulting from the use of general-purpose technologies. Examines global challenges for innovation such as sustainability restrictions. Considers the future of innovation in the digital economy, informal economy, and social innovation. Gault is Professorial Fellow at UNU-MERIT, Professor Extraordinary at Tshwane University of Technology, and Visiting Professor at the University of Johannesburg. Index.

Discusses the measurement of innovation and the use of the resulting indicators to shape policy, exploring whether innovation can be measured everywhere, not just in the business sector, in a rapidly changing world. Reviews systems, innovation, and innovation policy. Details current innovation policies. Describes scoreboards and their use for monitoring existing innovation policy. Focuses on the implementation of innovation policy. Presents the general definition of innovation applicable in all economic sectors and considers the importance of language in the innovation discourse. Provides the conceptual framework for the specification of the statistical measurement of innovation. Addresses non-sector-specific innovation in the informal economy, green economy, social innovation, and innovation resulting from the use of general-purpose technologies. Examines global challenges for innovation such as sustainability restrictions. Considers the future of innovation in the digital economy, informal economy, and social innovation. Gault is Professorial Fellow at UNU-MERIT, Professor Extraordinary at Tshwane University of Technology, and Visiting Professor at the University of Johannesburg. Index.

The main aim of the paper is to question the viability of measuring social innovation with the current state of knowledge on the one hand, and to make suggestions for better measurement of it on the other. To reach this aim, the literature on the traditional measures of technological innovation and the previous attempts of measuring social innovation is surveyed. Despite relatively narrow scope of the literature mainly originated from the very recent and pioneer experiments, one may argue that the first findings do not present a promising picture for future studies. Therefore, existing trials to measure social innovation have to be critically screened to ascertain problematic areas, and hence, to provide plausible solutions. The problems with social innovation metrics are not only limited with obtaining concrete and trustworthy results, but also extended to statistical, methodological and even conceptual spheres.

The main aim of the paper is to question the viability of measuring social innovation with the current state of knowledge on the one hand, and to make suggestions for better measurement of it on the other. To reach this aim, the literature on the traditional measures of technological innovation and the previous attempts of measuring social innovation is surveyed. Despite relatively narrow scope of the literature mainly originated from the very recent and pioneer experiments, one may argue that the first findings do not present a promising picture for future studies. Therefore, existing trials to measure social innovation have to be critically screened to ascertain problematic areas, and hence, to provide plausible solutions. The problems with social innovation metrics are not only limited with obtaining concrete and trustworthy results, but also extended to statistical, methodological and even conceptual spheres.

Recent studies regarding Social Innovation (SI) represent a small percentage of the academic research, and as a consequence the methodologies, focuses, and practices about this topic have not been consolidated. The social innovations generate intangible benefits, mainly qualitative, which makes it difficult to evaluate, even though few authors have indicated the distinguishable characteristics of SI there is not consensus about how to measure it. This document presents the results of a research project with the main objective of identifying the criteria distinguishing SI, and to propose a tool to facilitate its measurement, tracing, and potential assessment. A systematic criteria revision was performed along with a comparative study of eight SI projects from Latin America, prioritizing such criteria. With this information a proposal was developed, including the criteria, associated questions and ponderations. In order to validate the utility of this tool, the evaluation of the project "Implementation of a Solar-Eolic hybrid system in a school in remoted and insolated areas" was performed. The evaluation process allowed to inquire and discover the weaknesses and to explore the limiting causes for every criterion, giving place for recommendations directed to the developers and beneficiaries of the project. Throughout this tool it can be determined whether a project can be considered a successful SI or not; in case of not being successful, the method exerts a simple view of the characteristics that need improvement.