"The purpose of this study is to explore how do the characteristics of technology business incubators (TBIs), their chief executive officers, selection process and incubation process influence their research and development (R&D) contributions to the national economy.
These research questions are probed based on primary data gathered from 65 TBIs located in Bangalore, Chennai and Hyderabad, 3 of the leading start-up hubs of India comprising 9 accelerators, 31 incubators and 25 co-working spaces. Stepwise (backward elimination) regression method has been applied for six regression models for the analysis of research objectives."
"As part of its Agribusiness Innovation Program (AIP), infoDev designed an agribusiness incubation training program. To-date, the Agribusiness Incubation Training has been provided to a total of 149 people from 25 countries, including countries from Africa, Asia, Eastern Europe and Latin America. This report analyzes the effects of the delivery of this training. The agribusiness incubation training sessions took place as a one-day-training1 in the context of seven different events."
"The mobilization of social resources for addressing urgent societal needs under market assumptions is a major component of the strategy for development. Social enterprises as an alternative source of public goods and services attract the attention of academics, practitioners and policy-makers to the efficient use of entrepreneurial resources. Initially this study aims to provide a more systematic understanding about the factors that affect the probabilities of success of socially oriented undertakings and contributes to the literature by answering the call for more empirical research about such effects over their performance. Using a logistic regression model on data from a sample of socially oriented ventures in 148 countries participating in the 2013-2016 Entrepreneurship Database Program at Emory University, the positive effects of such factors were first validated. At a later stage, this quest attempted to find differential behaviors of these effects by comparing operations in OECD and developing countries. No conclusive evidence for dissimilarities between groups was found. This result could be partially attributed to the accelerator´s selection processes favoring companies with a proven record. Important global policy implications are drawn in support of harmonized social-entrepreneurship promotion programs and the adoption of standardized impact measurement criteria. This argument raises ample academic and practical possibilities for investigating the impact of socio-economic and cultural influences on the efficacy of social enterprise´s interventions. After controlling for the efficient use of entrepreneurial resources, teams made-up of civil society organizations, businesses and government institutions can allocate their attention to those country-specific situations affecting the efficacy of development programs such as the problems to be solved, the particularity of the eco-systems and the adequacy of the organizational arrays adopted."
"The aim of this study is to explore how an accelerator could succeed. We found that fundamental preconditions for success might be the access to relevant business competences and the ability to transfer it to a startup. On the other hand, the dynamics of acceleration organisation might be a restricting factor for business knowledge use and action. The success of an accelerator is a multidimensional topic. Generally, accelerators should construct great value proposition that facilitates the generation of long-term attraction for different stakeholders. However, the access to knowledge and funding can be viewed as the prerequisites of the existence of an accelerator but a prevailing startup ecosystem and service providers can also have a significant influence on new venture creation. Generally, the success of an accelerator can improve a local startup ecosystem and might have an influence on the economic development of a region."
"This report addresses the question: 'How do support programmes fulfil different roles for startups within startup ecosystems?' To put it another way, terms used for programmes supporting startups include: accelerators, coworking spaces, incubators, active seed investors, courses, competitions. But what is the difference?
In trying to answer this, this study interviewed over 30 practitioners, and undertook site visits to startup programmes operating in cities in high-income countries in Europe (Berlin, London, Munich, Cambridge), with the addition of Israel as a close neighbour."
"Humanitarian aid is insufficient to support the unprecedented numbers of fellow human beings who are struggling as refugees, migrants, or modern-day slaves. In this Social Entrepreneurship at the Margins report, Miller Center illustrates the clear and urgent need for bottom-up, enterprise level approaches, and highlights organizations that are already addressing the needs of these groups in innovative ways. This report highlights the efforts of Refugee Investment Network (RIN) and other innovators to bridge these gaps and invites other stakeholders to collaboratively build sustainable solutions for the growing global challenges facing refugees, migrants, and human trafficking survivors."
"This article addresses the specific role of programs that attempt to help social ventures scale. We utilize combined experience in the Momentum Project from ESADE Business School and the Global Social Benefit Incubator at Santa Clara University, as well as an exploratory study of 40 social incubator and accelerator programs around the world, to frame the issues. We make a comparison among different programs and classify them as social incubators and social accelerators according to targeted social ventures and portfolio of resources offered. We note opportunities for research on social entrepreneurship and discuss relevant issues for both academics and practitioners such as the structure of these programs, the variance of approaches, and the resources needed by social ventures in their scaling processes."
"We study the information-gathering role of a startup accelerator and consider the accelerator's incentives to choose a portfolio size and disclose information about participating ventures. We show that in a rational-expectations equilibrium, the resultant portfolio size is smaller than the first-best (efficient) level, consistent with some real-world observations. We further show that when some signals are uninformative and the portfolio consists of mostly high-quality ventures, the accelerator may choose to disclose only positive signals (and conceal negative signals) about its portfolio firms - a strategy we refer to as partial disclosure. Moreover, coupled with pursuing this strategy of partial disclosure, we demonstrate that the accelerator may possess incentives to exit its portfolio firms early."
"This dissertation explores the learning of social entrepreneurs in accelerators. Building on Jarvis' (2010) existential theory of learning, it conceptualises entrepreneurial learning as a process in which purposeful individuals encounter and transform experiences of disjuncture. These experiences are embedded in both human and material contexts. Learning processes and outcomes are portrayed as phenomena that are influenced by social entrepreneurs' interaction with these environments. Accelerators are depicted as non-formal contexts of learning, of relatively short duration - in which the structure and content of education is progressively adapted to the requirements of the individual."
"While business accelerators remain understudied in the academic literature, there is growing interest in understanding how accelerators work and where they provide value to entrepreneurs. In this paper, we focus exactly on this question – we examine how mentorship and investor ties, two key aspects observed across accelerators in general lead to positive accelerator outcomes and through them, to longterm firm success outcomes for the start-ups participating in accelerators. Using the full cohort (n=105) of an international accelerator, we follow the progress of the startups during the accelerated period and continue to follow these startups for 15 months. We find that startups that participate more in mentorship events have higher likelihood of achieving short-term outcomes during the accelerator, such as the release of a prototype and generating revenue for the first time. Similarly, startups that develop more investor ties during the accelerator survive and raise capital at a higher rate. Finally, we find evidence that certain short-term accelerator outcomes also increase the chances of survival and investment. On the basis of these results, we provide practical implications for start-ups as well as managers of accelerator programs, in addition to theoretical contributions to entrepreneurship research."