social innovations in response to solving social problems and needs are new and innovative solutions that are more effective, more efficient, or even fairer than previous ones. Charities and NGOs are just one of the actors of social innovation. The nature of their innovations is altruistic. These innovation need to more public participation to be success. Successful engagemnt of people in social innovations depends on how and why people participate in these event. In this regard, the present study has examined the sociology, psychology and social biology in the field of altruism, as well as interviewing by the experts with participation in the good and innovative charities, using the method of thematic analysis to identify the dimensions of public participation in social innovation. In the end, the main dimentions of public participation were introduced in social innovation, awareness-raising, strengthening the identity and social cohesion of the community, facilitating and attracting voluntary participation, learning and enhancing skills, building trust and improving interaction and communicating between main actors as the main dimensions of public participation.

Background: Despite the growing importance of social innovation, there is no agreed definition and coherent understanding that facilitates empirical research on this concept. Objective: The present study seeks to provide an integrated and comprehensive definition of social innovation that can help a common and logical understanding of it. Research method: In the research process, under the influence of rational epistemology and in order to link between abstract propositions, analytical-logical method has been used. In this regard, in order to achieve theoretical richness for the final model, at least 116 texts were reviewed and analyzed. Among these texts, 15 books, 3 documents and 32 sites approved by the elites of the seminary, 6 dissertations and 60 articles were analyzed. The extracted propositions were then expertized by fuzzy Delphi method. Findings: In addition to presenting the concept of social innovation, distinguishing social innovation from other concepts of innovation and dissemination and expansion of social innovation, a nine-stage model including: Identifying social needs 2. Ideation and solution development, 3. Evaluation of selected ideas and selection, 4. Establishment and preparation of infrastructure, 5. Implementation of the solution, 6. Creating a feedback loop and impact assessment, 7. Large-scale performance, 8. Institutionalization, 9. Learning and evolution were agreed upon by experts. Conclusion: The study showed that although researchers in recent decades have placed great emphasis on social innovation, but this concept is still much neglected compared to technical innovation. Therefore, in order to discover the coordinates of social innovation, he summarized this concept in a comprehensive set and prevented definite and definite propositions.

Objectives: During recent years, emotional awareness against social responsibility of universities in respect of rendering service to the society as a whole has been increased. In this era, universities had to be aware of their effects on their surrounding environment, in addition to their internal processes; and, there have been an increasing responsibility against those challenges that societies were facing with, in present century. Considering considerable role played by universities and social innovation in sustainable development; present study had provided a framework for evaluation of universities’ social innovation. Method: This applied research in terms of objective was a descriptive study, as far as its nature was concerned; and, effort had been made in the research for previous studies to be reviewed systemically and for output achievements to be analyzed. Accordingly, and through selection of 75 researches from among 1210 recalled researches; codes of the framework had been counted. Results: Provided framework has 6 categories and ١ ٨ concepts, as well as 6٩ codes obtained through review of thematic literature and views provided by experts dominating the field. Kappa coefficient being 0. 596 confirms quality of the framework provided. Conclusion: Final framework having different training, organization, research, development and innovation, contextual connection, environment, and international dimensions in addition to related contents and indicators includes all missions assigned to universities and social innovation goals followed in the field. One of the functions of provided framework was university evaluation and ranking based on social innovation that simultaneously would play important role in sustainable development of society and universities.

Objectives: The present study has attempted to propose a set of strategies based on the social innovation approach to improve social participation to achieve the scientific referent. Method: In pursuing this goal, after extracting the components of scientific referent and social participation from academic literature, leadership statements, policy documents using fuzzy delphi and data mining, has been attempted to calculate, based on the SODA method. Results: The status of the components comprising 40 components in the 5 dimensions of the concept of “ scientific referent” and 59 components in the 4 dimensions of the concept of "social participation". Conclusion: Finally, based on the consensus reached on the identified components, suggest strategies based on social innovation. The results showed the application of social innovation as a set of innovative activities aiming to meet a social need, which is to raise the level of social participation to achieve scientific referent, will help the country's main institutions.

Named Entity Recognition (NER) is one of the essential prerequisites for many natural language processing tasks. All public corpora for Persian named entity recognition such as ParsNERCorp and ArmanPersoNERCorpus are based on the Bijankhan corpus, which is originated from the Hamshahri newspaper in 2004. Correspondingly, most of the published named entity recognition models in Persian are specially tuned for the news data and are not flexible enough to be applied in different text categories such as social media texts. In this work, we introduce ParsNER-social, a corpus for training named entity recognition models in the Persian language built from social media sources. This corpus consists of 205, 373 tokens, and their NER tags crawled from social media contents, including 10 Telegram channels in 10 different categories. Furthermore, three supervised methods are introduced and trained based on the ParsNER-social corpus: two conditional random field models as baseline models and one state-of-the-art deep learning model with six different configurations are evaluated on the basis of the proposed dataset. The experiments performed show that the Mono-Lingual Persian models based on Bidirectional Encoder Representations from Transformers (MLBERT) outperform the other approaches on the ParsNER-social corpus. Among the different configurations of the MLBERT models, the ParsBERT+BERT-TokenClass model has obtained an F1-score of 89. 65%.

In a society where all people can use their capacity and enjoy equal opportunities, there is collective joy and spirit, and this feedback comes back to the community and enhances social participation, capital, and solidarity. In addition, it can make the country grow and develop, but, as we know, disability in some societies limits people and they cannot even find a suitable job. On the other hand, according to statistics and evidence, the unemployment rate of people with disabilities is on the rise and unemployment causes many problems for them. Numerous organizations and companies have taken steps to solve the employment problem of these people, and even some of these companies were start-ups created by some of the disabled, but this problem still remains unresolved. In this research, we seek to investigate the problem and provide some solutions. After reviewing the issue, we conducted this study at Salam social innovation Center. At first, the model was implemented through using the four-stage model of David Peter Stroh. Interviews were conducted with related people and stakeholders and then data were analyzed by using action research methodology. Suggestions were also provided in two parts: quick fixes and fundamental solutions. In the quick-fix solution section, some actions can solve the problem cross-sectionally (such as the government's requirement to hire the disabled or pay them pensions), but the key to solving this problem is to pay attention to these people's special abilities and not to their disabilities.

In recent years, implement of social responsibility has become a challenge for many businesses. One of the most important question about corporate social responsibility is its impact on corporate performance. Although, many studies have investigated this relationship, no consensus has been yet reached about it. This study aims to examine the impact of corporate social responsibility on the firm's performance through the mediating variables of innovation and social capital. This research in terms of the purpose is Practical, in terms of how to collect information is Descriptive-Correlation based on structural equation modeling. The statistical population of this study is all of the investment banks in Iranian Institutional Investors Association (IIIA). Measuring tool was a questionnaire with 44 questions which 62 companies responded to it. Construct validity was assessed using convergent and discriminant validity and reliability was assessed by using Cronbach's alph and composite reliability. Data analysis was performed with SmartPLS3 software. Although the impact of social responsibility on innovation has not been accepted, the results show that social responsibility has an impact on firm performance both directly and through the mediator variable of social capital. Therefore, it is suggested that enhance social capital in addition to formulating and implementing social responsibility can imrove firm perfoamnce.

Purpose: Analyzing social networks of open innovation field for drawing the intellectual and conceptual structure of this field. Methodology: This research is applied research that has been done by academic social network analysis. In this research, 2099 documents of open innovation field that published between 2003-2018 in Web of Science were analyzed. We use CitNetExplorer and VOSviewer for analyzing data. Findings: The number of studies in open innovation represents a sharp increase since 2014. Subjects and concepts that relate to open innovation have not been changed dramatically. Ten important journals received 20% of citations, and 14% of all citations pertain only to 10 articles. Common theoretical background categorized in 4 clusters and contemporary research streams categorized in 5 major clusters. The US has published the most documents in this field, and Iran is the 46th country with only five documents. Conclustion: Open innovation paradigm has been applied in many areas and according to its role in wellbeing, economic growth, environmental improvement, and etc. more attention to this field is needed. Purposeful research and collaboration with other countries are necessary.