"To understand the intermediary role of accelerators in the developing regional entrepreneurial ecosystem of Bangalore, we analyze data from 54 interviews with accelerator graduates, accelerator managers, and other ecosystem stakeholders, and from 49 websites, 13 online video interviews, 26 online news sources and 301 pages of policy documents. Specifically, we adopt a socially-situated entrepreneurial cognition approach to theorize how accelerator expertise, existing at a meso-level, intermediates between (micro-level) founders and the (macro-level). ecosystem. In our model, four types of accelerator expertise-connection, development, coordination, and selection-together increase stakeholders' commitment to the entrepreneurial ecosystem, leading to venture validation (success or failure) and ecosystem additionality. These findings indicate that accelerators contribute to ecosystems in a way that is distinct from, but supportive of, building individual ventures."

"Recent years have seen the rapid emergence of a new type of program aimed at seeding startup companies. These programs, often referred to as accelerators, differ from previously known seed-stage institutions such as incubators and angel groups. While proliferation of such accelerators is evident, evidence on efficacy and role of these programs is scant. Nonetheless, local governments and founders of such programs often cite the motivation for their establishment and funding as the desire to transform their local economies through the establishment of a startup technology cluster in their region. In this paper, we attempt to assess the impact that such programs can have on the entrepreneurial ecosystem of the regions in which they are established, by exploring the effects of accelerators on the availability and provision of seed and early stage venture capital funding in the local region."

"Hundreds, if not thousands, of programs exist to help drive business growth in emerging markets. But what does the evidence actually tell us about whether these programs help businesses grow? And what can practitioners learn from this evidence to design more effective interventions? This knowledge synthesis summarizes the current evidence, identifies gaps in the academic research, and proposes a practitioner-oriented research agenda for the sector."

"Business incubation is a growing area attracting substantial interest both from governments and the private sector. Unfortunately, it is difficult for "would-be-entrepreneurs" to operate an informed choice given the large variety in nomenclature, programmes, services offered, underpinning business models, and the frequent lack of availability of performance data, or a common set of metrics that could be used to compute (and provide) widely acceptable KPI useful to facilitate the choice. Additionally, the role of the Information Management System has been under investigated. The present paper presents the research being conducted for the design and implementation of a modular information management system expressly designed to adapt to the needs of business incubators irrespective of the business model and approach adopted. The design is informed of the most relevant different business models presently adopted, the set of services and programmes offered, and the guidelines proposed by the European Union and the CSI federation. Best practices adopted in the UK and Europe have also been considered along with Cabral-Dahab principles. Finally, we identified a set of metrics that can be easily collected and used to generate valuable KPI able to support both the business incubation management as well as the applicants."

"In recent years, there has been growing interest and funding dedicated to technical assistance (TA) designed to strengthen the commercial and development impact of businesses in developing markets. However, relatively little is known about the nature and effectiveness of these initiatives. To help address that knowledge gap, this paper focuses on efforts by development finance institutions (DFIs) to provide technical assistance to agribusinesses, which—while comprising only a small share of overall DFI investment portfolios—receive 30% of all TA."

"What keeps social entrepreneurs in developing countries from growing their ventures? Around the world social entrepreneurs are creating innovative businesses that reduce poverty and improve the lives of their customers. These pioneers often encounter many hurdles along the way that make growing a social business a significant challenge. With insights from more than 120 interviews with early-stage social entrepreneurs in developing countries, we explore the common financial and non-financial obstacles they face. The survey showed that access to financing is still a major issue for most of the entrepreneurs: loans are expensive, require significant personal collateral and traditional financing providers don’t take the social mission of the business into account. Besides access to capital, especially in the missing middle, social entrepreneurs also have challenges finding new customers for their products and services, managing their operations and technical excellence, as well as recruiting and retaining high quality staff. Based on our findings we distilled specific conclusions and recommendations for entrepreneurs, investors and intermediaries."

"This Roadmap for the Small and Growing Business (SGB) Sector outlines the expected transformations in the sector over the next ten years, and the challenges and opportunities inherent to such change. It includes a set of 13 recommendations that, if adopted, can help sector support organizations focus resources, initiate momentum-building, "catalytic" actions, and mitigate inherent challenges from both within and outside the sector."

"A classical approach to collecting and elaborating information to make entrepreneurial decisions combines search heuristics, such as trial and error, effectuation, and confirmatory search. This paper develops a framework for exploring the implications of a more scientific approach to entrepreneurial decision making. The panel sample of our randomized control trial includes 116 Italian startups and 16 data points over a period of about one year. Both the treatment and control groups receive 10 sessions of general training on how to obtain feedback from the market and gauge the feasibility of their idea. We teach the treated startups to develop frameworks for predicting the performance of their idea and conduct rigorous tests of their hypotheses, very much as scientists do in their research. We let the firms in the control group instead follow their intuitions about how to assess their idea, which has typically produced fairly standard search heuristics. We find that entrepreneurs who behave like scientists perform better, are more likely to pivot to a different idea, and are not more likely to drop out than the control group in the early stages of the startup. These results are consistent with the main prediction of our theory: a scientific approach improves precision—it reduces the odds of pursuing projects with false positive returns and increases the odds of pursuing projects with false negative returns."

"Over the past 15 years, accelerators emerged as a popular and distinct new form of intermediary organization, playing a key role in supporting entrepreneurial and innovation activities. To date, despite significant growth in accelerators research, there is still little understanding of how different forms of accelerators operate, and what outcomes they produce across different contexts. This paper reviews the existing scholarly research on accelerators using the Context-Intervention-Mechanism-Outcome framework and is based on the analysis of 98 research papers on accelerators published in the last 15 years. The analysis identifies four mechanisms which explain how accelerators operate and the role they play in supporting entrepreneurship and innovation: the validation of ideas and products; the provision of product development and models learning; the provision of support to increase startups' market access and growth; and the provision of support for innovation. The paper identifies the methodological and theoretical gaps in current research and provides avenues to support future research and industry practice."

"Accelerators are a type of incubation program that are concerned with attracting, supporting and developing new ventures. Although there is significant enthusiasm for accelerators and their potential benefits, there is limited research on how their core capabilities can vary. In response, we develop a typology of accelerator capabilities taking into account their strategy, governance, business model, operations and finance. To develop the typology we carried out a benchmark analysis of six clean energy commercialization accelerators (CECAs). From this we verified and illustrated the dimensions of our typology and identified four types of accelerator capabilities: R&D focused, technology enabled, market enabled, and network enabled. We then use a seventh accelerator case to illustrate how our typology can be used to describe, understand and prescribe appropriate capabilities for a CECA. We conclude our paper by explaining the research and practice implications of our research."