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This paper aims to address which resources provided by an entrepreneurial ecosystem (EE) are necessary for deep technology entrepreneurship.

The authors used a novel approach known as necessary condition analysis (NCA) to data on EEs and deep-tech startups from 132 countries, collected in a global innovation index and Crunchbase data sets. The NCA makes it possible to identify whether an EEs resource is a necessary condition that enables entrepreneurship.

Necessary conditions are related to political and business environment; education, research and development; general infrastructure; credit; trade; diversification and market size; and knowledge absorption capacity.

The results show that business and political environments are the most necessary conditions to drive deep-tech entrepreneurship.

Policymakers could prioritize conditions that maximize entrepreneurial output levels rather than focusing on less necessary elements.

Some resources require less performance than others. So, policymakers should consider allocating policy efforts to strengthen resources that maximize output levels.

Studies on deep-tech entrepreneurship are scarce. This study provides a bottleneck analysis that can guide the formulation of policies to support deep-tech entrepreneurship, as it allows to identify priority areas for resource allocation.

This study examines the nexus between entrepreneurship through small–medium enterprise (SME) business formation and the growth of the Nigerian economy. Furthermore, this paper seeks to explore the link between small enterprise development and econo.

The paper focused on secondary data for the period 1990–2016 for macro parameters including, registered small and medium scale enterprise, nominal gross domestic product, employment, total labor force and population. Forecasting technique was applied to obtain data for missing trends. Quantitative analytical techniques used include the dynamic method of the error correction model (ECM) and Johansen co-integration test for a long-run correlation.

The result shows an increasing number of SME formation which has also led to the growth of the economy. However, an increase in the amount of micro-small and medium scale enterprises did not contribute to the development of the economy more than existing businesses. The employment elasticity is positive and significant and shows that the contribution of entrepreneurship regarding employment is the most essential factor that advances economic growth and reduction of unemployment.

The paper examines how the persistent increase in small and medium enterprise formation improves the growth and development of the Nigerian economy, employing the ECM approach.

This study aims to estimate the impact of refugee inflows on host countries’ entrepreneurial rates. The refugee crisis led to an increased scientific and public policy interest in the impact of refugee inflows on host countries. One important perspective of such an impact, which is still underexplored, is the impact of refugee inflows on host countries entrepreneurial rates. Given the high number of refugees that flow to some countries, it would be valuable to assess the extent to which such countries are likely to reap the benefits from increasing refugee inflows in terms of (native and non-native) entrepreneurial talent enhancement.

Resorting to dynamic (two-step system generalized method of moments) panel data estimations, based on 186 countries over the period between 2000 and 2019, this study estimates the impact of refugee inflows on host countries’ entrepreneurial rates, measured by the total early-stage entrepreneurial activity (TEA) rate and the self-employment rate.

In general, higher refugee inflows are associated with lower host countries’ TEA rates. However, refugee inflows significantly foster self-employment rates of “medium-high” and “high” income host countries and host countries located in Africa. These results suggest that refugee inflows tend to enhance “necessity” related new ventures and/ or new ventures (from native and non-native population) operating in low value-added, low profit sectors.

This study constitutes a novel empirical contribution by providing a macroeconomic, quantitative assessment of the impact of refugee from distinct nationalities on a diverse set of host countries' entrepreneurship rates in the past two decades resorting to dynamic panel data models, which enable to address the heterogeneity of the countries and deal with the endogeneity of the variables of the model.

This paper aims to investigate the decision-making on new ventures of eight directors or managers of Brazilian accelerators, aiming to understand if the Einstellung effect – mental rigidity – operates during the judgment of new ventures to accelerate.

Through a quasi-experiment design, the study was conducted with directors or managers of Brazilian accelerators, who were separately interviewed and responded to a psychological test, previously consented, as well as to a simulated decision-making questionnaire.

The selection process, with the criteria for decision-making, functions as a “template” for the recognition of potentially successful companies and is, indeed, subject to various cognitive biases, among which, the Einstellung effect, characteristic of mental rigidity.

The main contribution of the present study is to identify the cognitive mechanisms, which can negatively affect the evaluation of innovative projects and propose ways that can counteract or mitigate them.

The psychological approach to decision-making, usually studied in chess game context or problem-solving, was applied to a relatively unexplored field that is startups to accelerate. Its originality remains at the interdisciplinary approach, combining knowledge from psychology, decision-making and entrepreneurship.

Motivated by a lack of evidence regarding the effect of migration on entrepreneurship in a highly informal country, such as Colombia, this paper has a twofold purpose. First, it explores how Venezuelan immigration affects entrepreneurial activity in Colombian regions. Second, it intends to shed light on this relationship, by distinguishing between formal and informal sectors.

With a sample of 1,776,063 individuals, from the Labor Survey Gran Encuesta Integrada de Hogares (GEIH) from the Departamento Administrativo Nacional de Estadística (DANE), the authors employ an instrumental variable approach to account for the selection of immigrants into locations with more or less desirable conditions.

The results suggest Venezuelan immigration positively influences self-employment and own-account workers, but negatively affects employers. However, once these immigrants proliferate in the informal sector, the effects increase.

This paper brings new insights into the intersection between immigration, unofficial economies, and entrepreneurship. First, while the prior literature focuses on migration from developing to developed countries, migratory flows between developing economies and its effects on local entrepreneurial activity remain unexplored. Second, although informality is mostly common in developing countries, little (albeit growing) evidence of its role in the relationship between migration and entrepreneurship research exists. Finally, the authors bring together these two phenomena to enhance our understanding of different types of entrepreneurial activities when immigration and informality take place. Policy implications are derived from these insights.