What motivates social entrepreneurs? A meta-analysis on predictors of the intention to found a social enterprise

Social entrepreneurial intention among university students in China

The issues of employment, social inequality, and resource scarcity can be effectively addressed through social entrepreneurship, contributing to the growing research interest on the formation of social entrepreneurial intention. Using the theory of planned behaviour, the current study examined the influence of selected key factors on social entrepreneurial intention among university students. Based on the cross-sectional quantitative research design, online survey was conducted, which involved 684 students and graduates from five universities in Southern China. The obtained results demonstrated the significant and positive influence of perceived values on sustainability, opportunity recognition competency, attitude towards entrepreneurship, subjective norms, and perceived behavioural control on social entrepreneurial intention. Additionally, attitude towards entrepreneurship partially mediated the relationships of risk-taking propensity, self-efficacy, and need for achievement on social entrepreneurial intention. The multi-group analysis results also showed that need for achievement and social entrepreneurial intention differed significantly between genders, which provides new ideas for future investigations into the impact of gender on social entrepreneurial intentions. Based on the findings of this study, it is crucial that university students are exposed to relevant courses or training to develop social entrepreneurship competencies and promote sustainable values. The findings of this study will provide policymakers with relevant policy guidelines and more effective theoretical support to achieve the goal of promoting social entrepreneurship among university students in a more resource-efficient and effective manner.

What are the key drivers to promote entrepreneurial intention of vocational college students? An empirical study based on structural equation modeling

In order to alleviate the increasing employment pressure of vocational college students, the current study is an attempt to explore the factors of entrepreneurial intention affecting vocational college students. The study investigates whether entrepreneurial self-efficacy and attitude mediate this relationship between creativity and entrepreneurial intentions using the theory of planned behavior (TPB). In particular, this research also examines whether risk propensity moderates the relationship. An empirical survey is conducted and a total of 500 valid questionnaires are collected through online platforms. The data is analyzed by employing Partial Least Squares Structural Equation Modeling and SPSS20.0. The results indicate that self-efficacy is the strongest antecedent of entrepreneurial intention. Social support is found to directly influence entrepreneurial intention significantly, while the direct effect of creativity on intention is very marginal. Moreover, the results of the mediation analysis show that the relationship between creativity and entrepreneurial intention is fully mediated by self-efficacy and attitude, while the effect of social support on entrepreneurial intention is partially mediated. Specifically, the moderation effect of risk propensity on the relationship between creativity and entrepreneurial intention is acknowledged. Concrete suggestions are proposed for vocational colleges and governments to promote students’ entrepreneurial intentions. Finally, implications for the findings are provided.

A framework for antecedents of social entrepreneurial intention: Empirical evidence and research agenda

Social entrepreneurship (SE) increasingly contributes to diversity in entrepreneurship. The different approaches to SE suggest a variety of antecedents which drive individuals' intention to become social entrepreneurs. While this variety of antecedents is insightful, it also creates a need for systemisation and prioritization. We address this need by introducing an integrative, multi-level framework for person-based antecedents of SE-intention. Based on this multi-level framework the antecedents are grouped on three theoretical levels which refer to an individual's (1) personality, (2) cognition, and (3) entrepreneurial exposition. When testing our framework with 499 South African University students we find support for the multi-level framework and its notion that antecedents from the diverse levels complement each other. Therefore, this study provides a structure for person-based antecedents of SE-intention and additionally points to future research which may extend the proposed framework.

Perceived behavioral control as a moderator: Scientists' attitude, norms, and willingness to engage the public

Scientists play important roles in conducting public engagement, but evidence shows that scientists perceive great challenges in doing so. Drawing broadly from the theory of planned behavior (TPB), this study examines factors predicting scientists’ willingness to conduct public engagement. This study further examines how perceived behavioral control (PBC) of conducting public engagement would moderate the relationships between the proposed predictors and scientists’ willingness to conduct public engagement. Using survey data collected from 706 scientists based in Singapore, this study found that attitude toward and personal norms of conducting public engagement, as well as PBC, significantly predicted scientists’ willingness to conduct public engagement. Notably, PBC interacted with attitude toward conducting public engagement, the perceived descriptive norms, the perceived positive media influence, and the perceived negative external norms of conducting public engagement, as well as personal norms of conducting public engagement to predict scientists’ willingness to conduct public engagement. We postulated the key role that the perception of the ease or difficulty plays in motivating scientists to conduct the skill-intensive endeavor explains the significant moderating effects. The theoretical implications on the TPB and the practical implications for public engagement are further discussed.

Champions of Social Procurement in the Australian Construction Industry: Evolving Roles and Motivations

There has been a recent proliferation of social procurement policies in Australia that target the construction industry. This is mirrored in many other countries, and the nascent research in this area shows that these policies are being implemented by an emerging group of largely undefined professionals who are often forced to create their own roles in institutional vacuums with little organisational legitimacy and support. By mobilising theories of how organisational champions diffuse innovations in other fields of practice, this paper contributes new insights into the evolving nature of these newly emerging roles and the motivations which drive these professionals to overcome the institutional inertia they invariably face. The results of semi-structured interviews, with fifteen social procurement champions working in the Australian construction industry, indicate that social procurement champions come from a wide range of professional backgrounds and bring diverse social capital to their roles. Linked by a shared sense of social consciousness, these champions challenge traditional institutional norms, practices, supply chain relationships, and traditional narratives about the concepts of value in construction. We conclude that, until normative standards develop around social procurement in the construction industry, its successful implementation will depend on external institutional pressures and the practical demonstration of what is possible in practice within the performative constraints of traditional project objectives.

Startup Investment Decision Support: Application of Venture Capital Scorecards Using Machine Learning Approaches

This research aims to explore which kinds of metrics are more valuable in making investment decisions for a venture capital firm using machine learning methods. We measure the fit of developed companies to a venture capital firm’s investment thesis with a balanced scorecard based on quantitative and qualitative characteristics of the companies. Collaborating with the management team of Rose Street Capital (RSC), we explore the most influential factors of their balanced scorecard using their retrospective investment decisions of successful and failed startup companies. Our study employs six standard machine learning models and their counterparts with an additional feature selection technique. Our findings suggest that “planning strategy” and “team management” are the two most determinant factors in the firm’s investment decisions, implying that qualitative factors could be more important to startup evaluation. Furthermore, we analyzed which machine learning models were most accurate in predicting the firm’s investment decisions. Our experimental results demonstrate that the best machine learning models achieve an overall accuracy of 78% in making the correct investment decisions, with an average of 87% and 69% in predicting the decision of companies the firm would and would not have invested in, respectively. Our study provides convincing evidence that qualitative criteria could be more influential in investment decisions and machine learning models can be adapted to help provide which values may be more important to consider for a venture capital firm.

Impact of the Optimistic Perspective on the Intention to Create Social Enterprises: A Comparative Study Between Portugal and Spain

Social entrepreneurship (SE) enables business consolidation, combined with the production of positive impact and improvements in society. Aligned with 2030 Agenda for the achievement of the United Nations Sustainable Development Goals, it is important to clarify the role of social entrepreneurs, as they are making visible the impact of their creative ideas in several areas, from civic engagement to the environment, health and learning. The main purpose of this study is to specify a model of social entrepreneurial intention (SEI) and explore it by country, based on the dimensions of the Theory of Planned Behavior and how these are mediated by spirituality and optimism. With a convenience sample of 1476 Portuguese and Spanish students, Structural Equation Modeling (SEM) was used. For a deeply understanding, variables within the model were compared by country using t-rest, and multivariate analysis was done by each one separately. The mean comparison between countries, demonstrated that there are differences only between perceived behavioral control (PBC), Spirituality, Optimism and SEI, with Portuguese students scoring the highest values, in all variables except Optimism. A mediation path was carried out, and Spirituality mediate a significant effect between the three TPB dimensions in Portuguese students, but not in students from Spain. Finally, after discussing the results, theoretical and practical contributions are analyzed, with regard to the field of SE in Portugal and Spain, and alternatives are pointed out for a more social and sustainable entrepreneurial future.