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This chapter uses discourse analysis to explain why entrepreneurship has become a primary response to Africa’s youth employment challenge. It analyses almost 20 years of academic literature and publications from one of the world’s foremost authorities on entrepreneurship: the Global Entrepreneurship Monitor (GEM). The study found that youth were positioned within a discourse of entrepreneurial essentialism; where entrepreneurship was narrativised as the only option for youth employment; and youth were framed as entrepreneurship being the natural solution for them. Youth were concurrently framed within numerous contradictory entrepreneurial discourses which were used to elevate and legitimise entrepreneurship as the key pathway for addressing Africa’s youth employment challenge. An important finding in this study was that the dominant model of entrepreneurship being promoted by GEM to address the challenge is a mainly skills-based pathway to self-employment and low-growth microenterprise development. This is concerning for two reasons: firstly, global evidence does not demonstrate much support for such an approach, and secondly, it undermines other responses to youth unemployment, particularly those which seek to address more structural, demand-side barriers to employment.

The present study explores gender inequalities in the entrepreneurial landscape in Romania, based on Global Entrepreneurship Monitor (GEM) data, highlighting similarities and differences between women and men entrepreneurs. Even if the GEM reports include data on entrepreneurship since 1999, Romania has been among the participating countries only since 2007 for the Adult Population Survey (GEM, APS). Thus, to include Romania in the analysis, the data from this study were selected for nine years, namely from 2007 to 2015. Our results indicate that among Romanian men and women, similar drivers influence the odds of engagement in entrepreneurial activities relative to not being involved in businesses. For both men and women, having confidence in their knowledge and skills had the highest odds ratio values. Also, identifying opportunities proved to be positive and significant for both genders, while fear of failure had the opposite effect. Knowing other entrepreneurs can lead to great benefits generated through social exchange. Findings reveal that the external knowledge that an entrepreneur’s environment gives rise to can prove to be supportive in the discovery of opportunities and their exploitation.

This chapter provides an introduction to the Global Entrepreneurship Monitor (GEM), a project under Latin America and the Caribbean (LAC) regional approach. As a region, the countries of LAC correspond to the second-highest representation in GEM after Europe. The chapter describes the GEM project, summarizes some key longitudinal indicators for the region, and analyzes the contributions and importance of GEM project for the systematic study of entrepreneurship.

The debate that entrepreneurship is an engine of economic development has been a long-standing one. The higher the level of entrepreneurial activities, the higher the economic development. However, this literature is contradictory or elusive in Sub-Saharan Africa. Entrepreneurial activities are high in Africa, but economic development is not. Using Global Entrepreneurship Monitor (GEM, 2017) data, the chapter discusses some of the contradictory factors. Further data were collected from 60 businesses, 20 each from Cameroon, Nigeria and Uganda for more clarification in 2019. The results show that the economic development is solely measured in economic terms. Entrepreneurship in Africa operates in an embedded context quite different from that of developed nations. Africans are often only making do with the environment in which they find themselves; thus, entrepreneurship in Africa should not be seen as unproductive considering the context and motives of the entrepreneurs.

This chapter draws its findings from the Global Entrepreneurship Monitor (GEM) data set for 2016 to 2019 to provide a comprehensive albeit concise overview of the evolution of entrepreneurship activities in Qatar.

The results indicate that Qatar experienced an increase in the entrepreneurship activities with a significant percentage of adults starting or running new businesses. Data also revealed that, despite an equal proportion of women and men involved in early-stage entrepreneurial activities, women experience a lower transformation rate into established business ownership. In addition, to the gender gap, this study revealed that transforming new businesses into established business ownership is one of the main challenge to be addressed to develop the impact of entrepreneurship in the country further. Finally, the chapter shows that Qatar has created an entrepreneurial ecosystem of very high quality as demonstrated by its third place in the National Entrepreneurship Context Index and by having secured the first place in the MENA region.

This chapter concludes by outlining a number of recommendations for policymakers to further foster the entrepreneurial activities in Qatar especially among the younger population.

This chapter shows how to construct and test case-based macro models. The chapter makes use of national data to examine influences on quality-of-life of national cultures as complex wholes and entrepreneurship activities in Brazil, Russia, India, China, Germany, and the United States (the six focal nations) plus Denmark (a small-size, economically developed, nation). The study tests McClelland’s (1961) and more recent scholars’ proposition that some cultural configurations nurture entrepreneur startups, while other cultures are biased toward thwarting startups. The study applies complexity theory to develop and empirically test a general theory of cultures’, entrepreneurship’s, and innovation’s impact on quality-of-life across nations. Because culture represents a complex whole of attitudes, beliefs, values, and behavior, the study applies a set-theoretic approach to theory development and testing of alternative cultural configurations. Each of 28 economical developed and developing nations is scored for the level of the national cultures for each of six focal countries. The study selected for the study enables multi-way comparisons of culture-entrepreneurship-innovation-QOL among large- and small-sized developing and developed nations. The findings graphically present the complex national cultural configuration (x-axis) with entrepreneur nurture/thwart (y-axis) of the 28 nations compared to the six focal nations. The findings also include recognizing national cultures (e.g., Switzerland, the United States) nurturing entrepreneurial behavior versus other national cultures (e.g., Brazil and India) thwarting entrepreneurial behavior. The study concludes with a call to recognize the implicit shift in culturally implicit thinking and behavior necessary for advancing national platforms designed to successfully nurture entrepreneurship. Entrepreneur strategy implications include the observation that actions nurturing firm start-ups by nations low in entrepreneurship will unlikely to be successful without reducing such nations’ high levels of corruption.

The purpose of this paper is to compare influential factors of entrepreneurial activities over time in China and to compare China with other selected countries. The data are collected from Global Entrepreneurship Monitor (GEM). The method used is decision trees and chi-square automatic interaction detector (CHAID) analysis, which isolates important factors and examines entrepreneurship predictor importance.

The method used is decision trees and CHAID analysis which isolate important factors and examine entrepreneurship predictor importance. The original contribution of this paper is that this is the first time where artificial decision trees are applied to data to isolate factors that influence business startups and used across countries for comparative purposes. It is also the first application of this model to Chinese GEM. CHAID trees and predictor importance show the value of motivations of people who have already started businesses and shed light on how public policy can be influential in promoting entrepreneurship.

Results indicate that solid knowledge and skills of how to start a business and knowing someone who has already started a business are the most important factors in China and in most of the selected countries. Fear of failure is becoming less important for Chinese entrepreneurs over the years from 2003 to 2012. Results show that countries, including China, have to enhance skill and knowledge education if they want to promote small business entrepreneurship as a policy. The findings support human capital theory.

The limitations of this study are due to using aggregated data from GEM surveys, which do not allow the authors to examine individual or household behavior. The authors do not know the variance and the distribution of responses to the questions asked and the locations in which the surveys were conducted. Another limitation is that GEM data do not report regional variations which can be modeled. For future work, the authors suggest more detailed data availability which will lead to isolating entrepreneurial problems and highlighting relevant attitudes important to entrepreneurs.

Better data collection is needed at household and regional levels to understand business starts and to promote entrepreneurship.

Social implication of this research is to find out effective ways to increase entrepreneurial activities, therefore creating job opportunities and boosting economic growth. Educational programs will also decrease disparity of opportunity and incomes between different geographical regions in the country. The original contribution of this paper is that this is the first time artificial decision trees are applied to data to isolate factors that influence business startups across countries.

The original contribution of this paper is that this is the first time where artificial decision trees are applied to data to isolate factors that influence business startups and used across countries for comparative purposes. It is also the first application of this model to Chinese GEM. CHAID trees and predictor importance show the value of motivations of people who have already started businesses and shed light on how public policy can be influential in promoting entrepreneurship. This research modeled the breakdown of reasons people would start a business by using GEM data surveys.

The purpose of this study is to assess the current prevalence of empirical research in the field of social entrepreneurship. Further, we identify secondary datasets and explain their relative strengths and weaknesses for use by social entrepreneurship scholars.

The authors conducted a search of academic articles in the EBSCO and ProQuest databases mentioning social entrepreneurship, social venture(s), social enterprise(s), or social entrepreneur(s) in the title, abstract, or keywords published from 2009 to 2013. Papers were coded and analyzed based upon the nature of their methods.

We find that while qualitative studies are still the norm, quantitative methods are increasing, thanks to the creation of large-scale datasets and the use of analysis techniques new to the field. Three such large-scale datasets – the PSED II, GEM, and nonprofit tax collections – are discussed in depth. We find several strengths and weaknesses for each dataset, yet each provides social entrepreneurship scholars with fruitful opportunities.

Through a deeper understanding of empirical research and sources of social entrepreneurship data, scholars may be more attracted to social entrepreneurship, better equipped to conduct high-quality research and publish in high-quality outlets. Moreover, by moving beyond case studies and small-sample research to engaging larger pools of subjects and producing more generalizable findings, social entrepreneurship scholars will have the ability to impact a much broader scope of practitioners.

Entrepreneurship is presented as a vehicle for innovation and social development. Given the importance of entrepreneurship, the objective of this study was to analyze the psychological and sociological dimensions by determining the factors that explain individual perceptions and cultural support for entrepreneurship.

Using Global Entrepreneurship Monitor (GEM) data obtained from the Adult Population Survey (APS) (N = 2,500) in the region of Andalusia (Spain), a quantitative analysis was carried out, specifically a multivariate analysis based on four-stage linear regressions.

The variables examined do not explain the psychological and sociological dimensions to the same extent. The results highlight the existence of cultural homogeneity between provinces, the importance of sociodemographic variables and the influence of the entrepreneurial expectations and experiences of the population, especially in shaping individual perceptions towards entrepreneurship.

The replication of the study at the national and international levels is proposed in order to delve deeper into the cultural differences that condition entrepreneurship. Including new variables associated with entrepreneurial human capital could also be of interest.

The results can help to improve the design and implementation of policies and programs aimed at fostering entrepreneurship through the promotion of favorable individual perceptions and entrepreneurial culture.

The originality of this study is the consideration of individual perceptions and cultural support for entrepreneurship as dependent variables, since they are normally incorporated as explanatory factors. The results contribute to the advancement of knowledge of the entrepreneurial phenomenon through two approaches, psychological and sociological.

El emprendimiento se presenta como vehículo de innovación y desarrollo social. Dada la importancia del fenómeno, el objetivo de esta investigación es analizar las dimensiones psicológica y sociológica del emprendimiento a través de los factores que explican las percepciones individuales y la cultura de apoyo al emprendimiento.

A partir de datos GEM obtenidos mediante la Encuesta de Población Adulta (N = 2,500) en Andalucía (España), se desarrolla una metodología cuantitativa, concretamente un análisis multivariante basado en regresiones lineales de cuatro etapas.

Las variables consideradas no explican en la misma medida la dimensión psicológica y la sociológica. Se evidencia la existencia de homogeneidad cultural interprovincial, la importancia de las variables sociodemográficas y la influencia de las expectativas y las experiencias vinculadas al emprendimiento, especialmente en la formación de percepciones individuales.

Se propone la réplica del estudio a nivel nacional e internacional para ahondar en las diferencias culturales que condicionan la creación empresarial. Se considera interesante incluir nuevas variables asociadas con el capital humano emprendedor.

Mejora del diseño y la implementación de políticas y programas dirigidos a potenciar el emprendimiento, a través del fomento de las percepciones individuales favorables y la cultura emprendedora.

La originalidad reside en la consideración de las percepciones individuales y la cultura de apoyo al emprendimiento como variables dependientes, ya que normalmente se incorporan como factores explicativos. Se contribuye al avance del conocimiento sobre el fenómeno emprendedor a través de dos enfoques, el psicológico y el sociológico.

This study aims to investigate the effect of the crisis on entrepreneurial activities and how it can be relieved. Specifically, we explore how the positive effects of the human capital (self-confidence, opportunity alertness, and risk willingness) on startup activities are changed after the global financial crisis. Additionally, we explore how knowing an entrepreneur boosts up these relationships. We applied data from the Global Entrepreneurship Monitor (GEM) about prospective women entrepreneurs in China in 2006–2007 (precrisis time) and 2009–2010 (postcrisis time). Results show a sharp drop in effect size of self-confidence and opportunity recognition upon women's entrepreneurial actions; however, the global financial crisis nullified the effect of fear of failure on potential women entrepreneurs' business activities. Furthermore, knowing an entrepreneur has no significant moderating effect. Theoretical and practical implications and directions for future research are discussed.