Ideation canvas is a systematic arrangement of selected concepts side by side that tries to guide the mind of infinite ideators to innovative answers to specific questions. Designing a variety of idea-making forums is one of the measures that has become common in business-oriented events in recent years, and there is less opportunity to create problem-oriented idea-design forums, tailored to social goals. The present study was designed to design a problem-oriented idea-based canvas for social planning, and the main question of the research is what is a problem-oriented idea-canvas and its components? The present study is one of the qualitative researches that has been extracted by analyzing the existing literature of the idea canvas and also holding the focus group, the problem-oriented canvas and its components. In the next step, in order to validate and validate the extracted canvas, a questionnaire was distributed between interns and participants in social events and using one-sample t-test method, participants' opinions about the dimensions and components of the designed idea canvas were analyzed. The proposed ideation canvas is organized in two general sections, superstructure and infrastructure, and in each section, there are 9 sections. In the problem-oriented superstructure, there are requirements for in-depth description of the problem and the method of change appropriate to that problem. The underlying part of the canvas refers to the theoretical foundations that guide the overall structure of an idea and become the main basis of the idea generation process.

In recent years crowdfunding has become a popular way for entrepreneurs and idea owners to raise capital. The main objective of this paper is to use the social exchange theory and the technology acceptance model to investigate the factors influencing the funding intention of backers in crowdfunding projects. A sample of 126 backers participated in the research. A questionnaire was used for data collection and structural equation modeling by means of SmartPLS3 was used for data analysis. The results showed that the shared values of backers with the project owners are positively affected by raising the trust of the backers in their funding intention. Also, the technology acceptance model in the field of crowdfunding was adopted and showed that the perceived usefulness and funding intention are positively related. Contrary to previous research, the result of this study was the dismissal of the impact of the structural assurance on intention through trust, which results in a lack of trust in institutional factors in the research community.

The main objective this study is to investigate the issue of corporate social entrepreneurship. In terms of purpose, this study is an applied one, and in terms of data collection it is a qualitative research based on grounded theory. Data were collected using purposive sampling through the study of documented sources and semi-structured interviews with 15 senior and executive managers and experts of the Imam Khomeini Relief Foundation, as well as experts who were active in the field of corporate social entrepreneurship. In the open coding phase, 257 introductory codes were identified from the interview analysis. In the second stage, axial coding was performed using the structures of the axial coding model around the topic of the study. Based on the research findings, the concept of self-sufficiency and employment was selected as the central phenomenon. Causal conditions were categorized in environmental and organizational factors and six main categories including organizational capabilities, marketing measures, business measures, social measures, job design and job offers, job counseling measures, easy access guarantee for the client, career guidance and environmental factors were selected as strategies. Interfering factors were identified as either amplifier or attenuator. Organizational strategy, executive employment policies of the Imam Khomeini Relief Foundation, management plans and actions, job training programs, management stability and outsourcing were identified as the underlying factors of corporate social entrepreneurship. Finally, the consequences of corporate social entrepreneurship were determined at three levels, including micro, medium and macro levels.

Over the past decade, teaching entrepreneurship to children has become an essential educational subject in several countries. Despite the importance of this subject, there is a lack of studies explicitly examining entrepreneurship training in preschool ages in the country. Hence, the present research aims to provide an entrepreneurship education program for preschool children in the country. The present research is an exploratory study which is also an applied study in terms of purpose and a descriptive study in terms of the data collection method. The study population includes the founders of kindergartens as well as all principles, professionals, and experts in the field of education in kindergartens and preschools located in Tehran with at least 10 years of educational or working experience related to entrepreneurship in this field. Semi-structured interviews with 13 experts were conducted to collect data, and qualitative data were coded through open and axial coding. Study results have been presented in the form of an entrepreneurship education program matrix for children through the integration of Bloom’s taxonomy’ components (including three components of comprehension and understanding, application and analysis, and creation and critical thinking) and the dimensions of educational programs including goals, contents, teaching method, and teacher’s role.

Mobile applications (mobile apps) are expanding rapidly in the age of modern economics. At the same time, a new paradigm has been formed in the field of e-commerce called social commerce which depends significantly on the platform of mobile apps. The rapid development and growth of mobile computing, smartphones, and Web 2.0 technology have facilitated social commerce. This study seeks to find components related to the proposed business model of Osterwalder and Pigneur in mobile social commerce apps using text mining (k-means clustering algorithm) of previous studies. To collect the body of text mining, abstracts and keywords of 2913 articles on mobile app, social commerce and business model were collected from Scopus repository, and after conducting the pre-processing steps, these articles were clustered into seven clusters. Later by analyzing the articles of each cluster and identifying their subject, a mapping of these topics was created with six components of the Osterwalder business model. These six components included key activities, key resources, key partnerships, value propositions, channels, and customer relationships. Finally, suggestions are made for conducting research on the other three missing components of the business model, including customer segmentation, revenue streams, and cost structure.

These days small and medium-sized enterprises (SMEs) are increasingly required to look for growth beyond their national markets, the increasing digitalization of the global economy provides them with ample opportunities for internationalization. Although digitalization is an important factor for internationalization success, there is a lack of empirical evidence on its effect on the internationalization of small and medium-sized enterprises. In this study, an attempt has been made to identify the factors affecting the digital internationalization of small and medium-sized enterprises and finally present a model for this issue. This approach is qualitative research and data have been collected in the form of semi-structured questions in-depth interviews with managers and experts of companies that operating in international markets in the pharmaceutical industry. Then, data analyzed in three stages: open coding, axial coding and selective coding by Atlas Ti. According to findings, factors affecting the digital internationalization of small and medium-sized enterprises, placed in two main categories that these categories are: context factors and structural factors. At the end of the thesis the results of this study and the final model are presented.

Gig economy refers to the presence of people who start working other than being hired. In this new form of economics, professionals are employed on a temporary basis; They are mainly employed in specialized jobs and after finishing their work, they receive a fee and move on to other projects in another company. Therefore, the purpose of this study is to investigate the role of Gig economics in the development of social entrepreneurship. This research is applied in terms of purpose and descriptive-survey in terms of nature. The research tool is a semi-structured questionnaire with Likert scale. The reliability of the research instrument was confirmed by Cronbach's alpha method and Word coefficient of 0.85. The statistical population includes all people who work as freelancers or freelancers in social businesses such as educational centers, cooperatives, etc. in Sistan and Baluchestan province. Statistical sample of 135 people who were selected using snowball sampling method. The obtained data were analyzed using structural equation modeling by partial least squares method. Finally, control variables with a coefficient of 15.37, individual differences with a coefficient of 13.97, wages and working time with a coefficient of 17.41 and differences in job quality with a coefficient of 18.18 of Gig economy variables, their impact on the development of social entrepreneurship were confirmed.

Digital entrepreneurs create creative startups in a segment of a market or industry by starting a company. This study compares two cases of Alopeyk and Hampa with applied, descriptive approach and comparative case study strategy. The two startups have been formed in the transportation industry, one with the idea of Ride Sharing and the other by using the shipping platform. The data from these two startups were collected qualitatively through deeply one and one interviews with the founders of these startups. The questions in this interviews are based on a systematic approach to data theorizing of the foundation. After conducting interviews using MAXQDA 12 software, approximately 1188 codes were coded for categorizing the concepts. The results of this study declare a final model by using the real industry data. Based on the findings of this study and the factors stated in previous researches, strategies have been proposed in order to increase the probability of success of start-ups initiated by entrepreneurs. These include in-depth industry inspections, emerging macro trends, gaining experience, reinforcing beliefs, team building, reviewing needed contexts, learning agility techniques, using control and motivational systems.