"To identify the strengths, weaknesses, opportunities and threats of business incubator models and their potential use in worldwide. Methodology: We studied two international cases: (a) United States, (b) United Kingdom. Findings: The results highlight the similarities and differences between the countries. It adds knowledge for both academics and practitioners who are interested in business incubation. Value: This paper is the first to utilize the SWOT technique to analyze the business incubation field and provides recommendations to implement successful adoption of the incubator's strengths. The potential of Business Incubators who act as models in worldwide and their contribution to the economy, the active role they play in the local, regional and national economic development are discussed. Implications: Adaptation of a Business Incubator Model leads to (1) the support of diverse economies, (2) the commercialization of new technologies, (3) job creation and (4) increases in wealth, given that weaknesses can be overcome."

"This report sets out to establish how well social enterprise addresses gender inequality and women's empowerment in the UK. It is part of a series of reports commissioned by the British Council to look at the link between social enterprise and women's empowerment across five countries: Brazil, India, Pakistan, the UK and the USA. It explores the strengths and weaknesses of social enterprise as a mechanism for empowering women and considers different ways it is being used for this end. It also examines the idea that social enterprise as a business model might advance women's empowerment even when that is not a specific objective."

"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."