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There are currently several social innovation initiatives being developed in isolation, where each one has its own path. In this context, actors want to collaborate and be coordinated in a network in order to increase the development and dissemination of social innovations. The use of collaboration mechanisms gives rise to the expectation that actors playing in groups tend to achieve quantitative and qualitative performance higher than individual performances. While the potential benefits of collaboration are recognized, effectively achieving collaboration is still a challenge for social innovation. In this context, the objective of this study is to identify how the concepts of collaboration are recognized in social innovation environments. In addition, we investigated which mechanisms are used and what are the difficulties faced by actors in this context. To do so, a survey research on the aspects of collaboration in social innovation environments was conducted. Results shown that engagement is the most cited challenge related to human factors; from 30 techniques mentioned, Design Thinking is the most applied; and from 41 tools, Google Drive is the most cited. Results from qualitative analysis shown that collaboration is considered essential to social innovation environments, although there are several challenges reported.

There are currently several social innovation initiatives being developed in isolation, where each one has its own path. In this context, actors want to collaborate and be coordinated in a network in order to increase the development and dissemination of social innovations. The use of collaboration mechanisms gives rise to the expectation that actors playing in groups tend to achieve quantitative and qualitative performance higher than individual performances. While the potential benefits of collaboration are recognized, effectively achieving collaboration is still a challenge for social innovation. In this context, the objective of this study is to identify how the concepts of collaboration are recognized in social innovation environments. In addition, we investigated which mechanisms are used and what are the difficulties faced by actors in this context. To do so, a survey research on the aspects of collaboration in social innovation environments was conducted. Results shown that engagement is the most cited challenge related to human factors; from 30 techniques mentioned, Design Thinking is the most applied; and from 41 tools, Google Drive is the most cited. Results from qualitative analysis shown that collaboration is considered essential to social innovation environments, although there are several challenges reported.

Social Innovation is one of the key indicators within the sustainable development goals (SDGs). Currently, service Design and its design thinking processes play a significant role in Innovation for businesses; it proved its social innovation impact in many projects building sustainable solutions. This study aims to highlight the value of implementing service design through the design thinking process in finding a sustainable solution for different social issues. Researchers achieved the aim of this study using qualitative methodology, implementing case study analysis as a method, were 28 design students have been asked to redesign missing social experiences during pandemics. These case studies explain how sustainable solutions can be generated via service design through the design thinking processes. The findings of this research highlight the value of implementing service design with its design thinking process to generate sustainable solutions for different social issues, concluding that this process can be taught and applied by designers to change their mindsets from `final outcome' to the concept of `final demand', aligning then with sustainability for social Innovation.

Social Innovation is one of the key indicators within the sustainable development goals (SDGs). Currently, service Design and its design thinking processes play a significant role in Innovation for businesses; it proved its social innovation impact in many projects building sustainable solutions. This study aims to highlight the value of implementing service design through the design thinking process in finding a sustainable solution for different social issues. Researchers achieved the aim of this study using qualitative methodology, implementing case study analysis as a method, were 28 design students have been asked to redesign missing social experiences during pandemics. These case studies explain how sustainable solutions can be generated via service design through the design thinking processes. The findings of this research highlight the value of implementing service design with its design thinking process to generate sustainable solutions for different social issues, concluding that this process can be taught and applied by designers to change their mindsets from `final outcome' to the concept of `final demand', aligning then with sustainability for social Innovation.

A social innovation ecosystem is a set of actors from different societal sectors and their environments with legal and cultural norms, supportive infrastructures and many other elements, which enable or inhibit the development of social innovations. In this context, several issues regarding information reuse and integration can be found. In this paper, we present an observational study where a real case of an emerging social innovation ecosystem was modeled and analyzed in order to identify the challenges faced by the actors. Results show the importance of adopting digital ecosystem concepts for an approach in which social innovation actors interact and collaborate through the support provided by a common technological platform, composing what we called as Social Innovation Digital Ecosystem (SIDE). Such approach aims to support social innovation actors towards fostering collaboration, co-creation, knowledge, and information sharing and reuse, enabling the development, dissemination and generation of more effective social innovations.

From the perspective of sustainability, this paper analyzes how stakeholders realize sustainable social innovation through co-creation. Through literature and case analysis, based on the group classification of social networks, this paper proposes three elements of social innovation: place creation, situation creation and relationship structure, and further sorts out the co-creation of meaning co-creation, behavior co-creation and value co-creation. The research shows that co-creation is a practical activity based on cultural identity, group interaction and resource integration, and stakeholders can achieve the goal of sustainable social innovation through meaning co-creation, behavior co-creation and value co-creation.

From the perspective of sustainability, this paper analyzes how stakeholders realize sustainable social innovation through co-creation. Through literature and case analysis, based on the group classification of social networks, this paper proposes three elements of social innovation: place creation, situation creation and relationship structure, and further sorts out the co-creation of meaning co-creation, behavior co-creation and value co-creation. The research shows that co-creation is a practical activity based on cultural identity, group interaction and resource integration, and stakeholders can achieve the goal of sustainable social innovation through meaning co-creation, behavior co-creation and value co-creation.

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.

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.

Two things often observed in children: (1) many do not eat a healthy diet and (2) they like playing video-games. Game-based learning has proven to be an effective method for attitude change, and thus has the potential to influence children's eating habits. This study looks at how, through a series of workshop activities, children themselves can inform the design of such games. Using a co-constructive approach, the study's format promotes creativity and control, enabling children to act as valuable informants for its design. Patterns emerging from the study show that children do indeed understand the concept of healthy eating. Future phases of this work will explore whether they understand how various foods affect their bodies. This information will then inform the design of a video-game that encourages healthy eating.

Two things often observed in children: (1) many do not eat a healthy diet and (2) they like playing video-games. Game-based learning has proven to be an effective method for attitude change, and thus has the potential to influence children's eating habits. This study looks at how, through a series of workshop activities, children themselves can inform the design of such games. Using a co-constructive approach, the study's format promotes creativity and control, enabling children to act as valuable informants for its design. Patterns emerging from the study show that children do indeed understand the concept of healthy eating. Future phases of this work will explore whether they understand how various foods affect their bodies. This information will then inform the design of a video-game that encourages healthy eating.

Interrelations between creativity, innovativeness and entrepreneurial skills of individuals have long been discussed in the literature. Due to the challenges regarding their measurement, most studies focused on the intentions rather than the outcomes. The idea generation that requires creativity is the first stage of social innovation. The young population's creative potentials in participating social innovation practices deserve a special attention as they play a critical role in the innovativeness and entrepreneurship of societies. This study aims to explore the factors that determine the creative intentions of university students that are important in generating social innovation projects. A structured survey based on the literature was conducted among 600 management and engineering students from 3 universities from the different percentiles of the Entrepreneurial and Innovative University Index for 2012 of the Turkish Ministry of Science, Industry and Technology. The survey included questions on the demographic characteristics, environmental factors, motivators, university/institutional context, perceptions and creative thinking attitudes. By conducting reliability and factor analysis, accuracy and validity of data is tested and the impact factors were identified. Findings reveal that visionary attitude, curiosity, exploration and learning, attitude for own creativity, self-esteem, perception about the learnability of creativity, university and social environment are components of creative thinking intentions of students and some of these factors vary by year of study and university.

Interrelations between creativity, innovativeness and entrepreneurial skills of individuals have long been discussed in the literature. Due to the challenges regarding their measurement, most studies focused on the intentions rather than the outcomes. The idea generation that requires creativity is the first stage of social innovation. The young population's creative potentials in participating social innovation practices deserve a special attention as they play a critical role in the innovativeness and entrepreneurship of societies. This study aims to explore the factors that determine the creative intentions of university students that are important in generating social innovation projects. A structured survey based on the literature was conducted among 600 management and engineering students from 3 universities from the different percentiles of the Entrepreneurial and Innovative University Index for 2012 of the Turkish Ministry of Science, Industry and Technology. The survey included questions on the demographic characteristics, environmental factors, motivators, university/institutional context, perceptions and creative thinking attitudes. By conducting reliability and factor analysis, accuracy and validity of data is tested and the impact factors were identified. Findings reveal that visionary attitude, curiosity, exploration and learning, attitude for own creativity, self-esteem, perception about the learnability of creativity, university and social environment are components of creative thinking intentions of students and some of these factors vary by year of study and university.