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Over the past few decades, Corporate Social Responsibility (CSR) has been perceived as an antecedent of competitive advantage. It was, moreover, placed at the top of the business agenda and recognized as a key driver of performance. Under this context, the present study sets to investigate how strategic CSR (SCSR) affects organizational performance and whether firms operating in “controversial” sectors should adopt SCSR activities. To this aim, this study reviews the body of knowledge on the topic, through a systematic review of the literature. After searching for academic publications in the Scopus database and selecting publications based on their relevance, 32 studies have been included in the review. Their analysis sheds light on common findings and contradicting arguments. Results show the main attributes of strategic, as opposed to non-strategic CSR activities. The importance of effective communication of SCSR activities is highlighted. SCSR is linked to “shared value”, as well as to competitive advantage, social innovation and good reputation. Voices of criticism focus on using SCSR as an empty promise that is used to counteract unethical behavior. Finally, more research is needed on the implementation of SCSR activities during recessionary periods.
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Over the past few decades, Corporate Social Responsibility (CSR) has been perceived as an antecedent of competitive advantage. It was, moreover, placed at the top of the business agenda and recognized as a key driver of performance. Under this context, the present study sets to investigate how strategic CSR (SCSR) affects organizational performance and whether firms operating in “controversial” sectors should adopt SCSR activities. To this aim, this study reviews the body of knowledge on the topic, through a systematic review of the literature. After searching for academic publications in the Scopus database and selecting publications based on their relevance, 32 studies have been included in the review. Their analysis sheds light on common findings and contradicting arguments. Results show the main attributes of strategic, as opposed to non-strategic CSR activities. The importance of effective communication of SCSR activities is highlighted. SCSR is linked to “shared value”, as well as to competitive advantage, social innovation and good reputation. Voices of criticism focus on using SCSR as an empty promise that is used to counteract unethical behavior. Finally, more research is needed on the implementation of SCSR activities during recessionary periods.
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Participatory social innovation projects often involve the coming together of design researchers, community development groups, and community members to develop (often technological) solutions to social problems or challenges. “Intermediaries” are specific individuals and organisations who contribute to these projects by translating intentions, values and experiences between design researchers and communities. Previous research has not yet critically examined the role of intermediaries in such projects. This paper does so in a project carried out in rural areas of Europe, which sought to test and develop a technology to support the creation of FM community radio stations in isolated areas. We present the project as a biography of infrastructures to provide an account of intermediaries’ interactions during the project's unfolding. We find that how intermediaries shape the social base and ends of the project, and the interpretation of the technology involved, is influenced by their position, goals, and relationships in the process.
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Participatory social innovation projects often involve the coming together of design researchers, community development groups, and community members to develop (often technological) solutions to social problems or challenges. “Intermediaries” are specific individuals and organisations who contribute to these projects by translating intentions, values and experiences between design researchers and communities. Previous research has not yet critically examined the role of intermediaries in such projects. This paper does so in a project carried out in rural areas of Europe, which sought to test and develop a technology to support the creation of FM community radio stations in isolated areas. We present the project as a biography of infrastructures to provide an account of intermediaries’ interactions during the project's unfolding. We find that how intermediaries shape the social base and ends of the project, and the interpretation of the technology involved, is influenced by their position, goals, and relationships in the process.
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In social sciences, similarly to other fields, there is exponential growth of literature and textual data that people are no more able to cope with in a systematic manner. In many areas there is a need to catalogue knowledge and phenomena in a certain area. However, social science concepts and phenomena are complex and in many cases there is a dispute in the field between conflicting definitions. In this paper we present a method that catalogues a complex and disputed concept of social innovation by applying text mining and machine learning techniques. Recognition of social innovations is performed by decomposing a definitions into several more specific criteria (social objectives, social actor interactions, outputs and innovativeness). For each of these criteria, a machine learning-based classifier is created that checks whether certain text satisfies given criteria. The criteria can be successfully classified with an F1-score of 0.83–0.86. The presented method is flexible, since it allows combining criteria in a later stage in order to build and analyse the definition of choice.
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In social sciences, similarly to other fields, there is exponential growth of literature and textual data that people are no more able to cope with in a systematic manner. In many areas there is a need to catalogue knowledge and phenomena in a certain area. However, social science concepts and phenomena are complex and in many cases there is a dispute in the field between conflicting definitions. In this paper we present a method that catalogues a complex and disputed concept of social innovation by applying text mining and machine learning techniques. Recognition of social innovations is performed by decomposing a definitions into several more specific criteria (social objectives, social actor interactions, outputs and innovativeness). For each of these criteria, a machine learning-based classifier is created that checks whether certain text satisfies given criteria. The criteria can be successfully classified with an F1-score of 0.83–0.86. The presented method is flexible, since it allows combining criteria in a later stage in order to build and analyse the definition of choice.
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Sujet
- Libre accès
- Co-création (2)
- Communauté d'innovation (2)
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- Étude de cas (1)
- Europe (2)
- Idéation, dialogue et maillage (1)
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- Innovation sociale (2)
- litterature (2)
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1. Idéation, dialogue et maillages
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