One fourth of the adult population in Saudi Arabia was involved in either starting or running a new business. This was the highest of the countries in the Middle East and Africa included in the survey. On the other hand, only six percent of Moroccans did the same.

The European Commission’s Directorate-General “Enterprise and Industry” has been studying, for the past 10 years, the development of entrepreneurship in EU Member States, and has compared European opinions with those outside of Europe, especially in the US. Flash Eurobarometer No283 “Entrepreneurship in the EU and beyond” covers topics such as the development of entrepreneurship, how entrepreneurial mindsets are being fuelled and what encourages people to become entrepreneurs. It provides data about public attitudes on issues such as entrepreneurship, entrepreneurial education, risk-taking, start-ups, obstacles to entrepreneurship and business failures.

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

ABSTRACT Purpose: The purpose of this paper is to review the literature on entrepreneurship in family businesses. Originality/gap/relevance/implications: Despite the fact that other literature reviews show the existence of papers that explore entrepreneurship in the context of family-owned businesses, there are no systematic reviews about the idiosyncrasies of the relation between these fields. Key methodological aspects: We reviewed the scientific production published in journals relevant to the family businesses field. Seventy-three articles published about entrepreneurship in family businesses were categorized through the scope literature review technique, according to variables such as journal of publication, research topic addressed, and methodological procedures adopted. Summary of key results: The integrated reading of articles categorized in this review allowed us to identify the exploration of different research topics and methodological approaches in the attempts to comprehend entrepreneurial phenomena in family businesses. Key considerations/conclusions: We conclude that the potential of this approach will be achieved by the construction of a theoretical framework able to contribute to the understanding of intrinsic aspects of family-owned businesses. This approach, by involving phenomena that are complementary in the light of the interaction between family and business, may contribute for the generation of further knowledge about this type of organization, and for the opening of new research avenues on entrepreneurship and family businesses.

ABSTRACT The goal of this study is to propose a conceptual model for assessing the impact of entrepreneurship supportive university ecosystems (ESUE) on student’s entrepreneurship related behavioral characteristics: entrepreneurial intention (EI) and entrepreneurial characteristics (EC). The empirical research used partial least squares structural equation modeling (PLS-SEM) and a sample of 1,012 observations. Findings indicate that an ESUE has a positive influence on student’s EI. However, this effect is mostly perceived on the changing of student’s EC than on the direct stimulation for becoming entrepreneurs. Moreover, student’s EI is also influenced by the greater entrepreneurial ecosystem in which universities are embedded. Evidences hint at the possibility that the university’s push for entrepreneurship is insufficient. University and/or public managers stand to benefit from our findings for reassessing their current arrangements for fostering student entrepreneurship and designing new, more efficient mechanisms. Moreover, the literature presents a myriad of localized assessments of small countries, whereas this research provides a rough nation-wide overview of a continent-sized nation, thus contributing to the testing of the model against different contexts.

Entrepreneurs seem to be getting younger and younger.

This dataset contains the codes for the decisions in England and Wales made for each Sub-Occode to assign each individual identified by RecID to a status of employer or own account entrepreneur. (worker RecIDs are given in a separate download). This is method EMPSTATUS_NUM as outlined in the BBCE User Guide. The method is given in full in WP 9. The variables provided are: SubOccodeNo - SubOccode code SubOccode - SubOccode title 1891UR - Unrounded estimate based on 1891 data 1891R - Rounded estimate based on 1891 data 1901UR - Unrounded estimate based on 1901 data 1901R - Rounded estimate based on 1901 data 1891Ratio - Estimate based on the 1891 ratio of either entrepreneurs to workers, or employers to own account 1901Ratio - Estimate based on the 1901 ratio of either entrepreneurs to workers, or employers to own account Decision - Code indicating the option used. For 1851 EOA, E; 1861EOA, E; and 1881E five codes exist: 1-1891 unrounded; 2-1891 rounded; 3-1901 unrounded; 4-1901 rounded; 5-1891 ratio. For 1881EOA 7 codes exist: 1-1891 unrounded; 2-1891 rounded; 3-1901 unrounded; 4-1901 rounded; 5-1891 ratio; 6-1901 ratio; 7-use 1881 extracted

This is the historic impact factors of Journal of Entrepreneurship and Innovation in Emerging Economies computed for each year in CSV format. The first column shows the exaly JournalID for mixing this table with those of other journals

To create the dataset, the top 10 countries leading in the incidence of COVID-19 in the world were selected as of October 22, 2020 (on the eve of the second full of pandemics), which are presented in the Global 500 ranking for 2020: USA, India, Brazil, Russia, Spain, France and Mexico. For each of these countries, no more than 10 of the largest transnational corporations included in the Global 500 rating for 2020 and 2019 were selected separately. The arithmetic averages were calculated and the change (increase) in indicators such as profitability and profitability of enterprises, their ranking position (competitiveness), asset value and number of employees. The arithmetic mean values of these indicators for all countries of the sample were found, characterizing the situation in international entrepreneurship as a whole in the context of the COVID-19 crisis in 2020 on the eve of the second wave of the pandemic. The data is collected in a general Microsoft Excel table. Dataset is a unique database that combines COVID-19 statistics and entrepreneurship statistics. The dataset is flexible data that can be supplemented with data from other countries and newer statistics on the COVID-19 pandemic. Due to the fact that the data in the dataset are not ready-made numbers, but formulas, when adding and / or changing the values in the original table at the beginning of the dataset, most of the subsequent tables will be automatically recalculated and the graphs will be updated. This allows the dataset to be used not just as an array of data, but as an analytical tool for automating scientific research on the impact of the COVID-19 pandemic and crisis on international entrepreneurship. The dataset includes not only tabular data, but also charts that provide data visualization. The dataset contains not only actual, but also forecast data on morbidity and mortality from COVID-19 for the period of the second wave of the pandemic in 2020. The forecasts are presented in the form of a normal distribution of predicted values and the probability of their occurrence in practice. This allows for a broad scenario analysis of the impact of the COVID-19 pandemic and crisis on international entrepreneurship, substituting various predicted morbidity and mortality rates in risk assessment tables and obtaining automatically calculated consequences (changes) on the characteristics of international entrepreneurship. It is also possible to substitute the actual values identified in the process and following the results of the second wave of the pandemic to check the reliability of pre-made forecasts and conduct a plan-fact analysis. The dataset contains not only the numerical values of the initial and predicted values of the set of studied indicators, but also their qualitative interpretation, reflecting the presence and level of risks of a pandemic and COVID-19 crisis for international entrepreneurship.

This study of Entrepreneurship Education (EE) centers on the impact of entrepreneurial role models on entrepreneurial passion, which also is expected to influence entrepreneurial intention. Based on 426 individuals recruited primarily from Austria, Finland, and Greece, Structural Equation Modeling (SEM) reveals the significant direct and indirect effects of entrepreneurial role models on entrepreneurial intention, mediated by entrepreneurial passion. These effects were found to be stronger following multimedia presentation of entrepreneurial stories, confirming the fruitful spillover effects of the innovative educational use of computers on entrepreneurial intentions among nascent entrepreneurs. Drawing on the theory of planned behavior (TPB) and social learning theory, this study confirms both the positive impact of entrepreneurial role models and significant short-term effects of web-based multimedia in the context of EE. This narrative approach is shown to be an effective pedagogical instrument in enhancing individual orientation toward entrepreneurship to facilitate entrepreneurial intention. This study identifies the great potential of these pioneering methods and tools, both for further research in the academic community and for entrepreneurship educators who hope to promote entrepreneurial intention in aspiring entrepreneurs. The findings are also relevant for policy makers designing effective instruments to achieve long-term goals.

There is a growing body of evidence that many entrepreneurs seem to enter and persist in entrepreneurship despite earning low risk-adjusted returns. This has lead to attempts to provide explanations—using both standard economic theory and behavioral economics—for why certain individuals may be attracted to such an apparently unprofitable activity. Drawing on research in behavioral economics, in the sections that follow, we review three sets of possible interpretations for understanding the empirical facts related to the entry into, and persistence in, entrepreneurship. Differences in risk aversion provide a plausible and intuitive interpretation of entrepreneurial activity. In addition, a growing literature has begun to highlight the potential importance of overconfidence in driving entrepreneurial outcomes. Such a mechanism may appear at face value to work like a lower level of risk aversion, but there are clear conceptual differences—in particular, overconfidence likely arises from behavioral biases and misperceptions of probability distributions. Finally, nonpecuniary taste-based factors may be important in motivating both the decisions to enter into and to persist in entrepreneurship.

Social Entrepreneurship is one of the most innovative and effective approaches to solving social problems in the 21st century. Social entrepreneurs work in every corner of the globe to create and implement solutions for what were once thought to be unsolvable social problems. This guide was written by students, for students. It discusses what Social Entrepreneurship is, what Social Entrepreneurs do, and how you can get involved. And it comes complete with courses, resources (and, yes, sources). There are varying viewpoints on what the phrases “social entrepreneurship,” “social entrepreneur,” and “social enterprise” mean. We cannot provide an exhaustive or definitive answer here. Instead, this guide offers a practical handbook for students looking to jump start a career in this exciting new field. Enjoy!

In 2019, global entrepreneurship index for Peru was 27.7 index. Though Peru global entrepreneurship index fluctuated substantially in recent years, it tended to decrease through 2015 - 2019 period ending at 27.7 index in 2019. Score

Dataset has answers of 135 responders.I. Demographic questions:1. What is your age?2. What is your highest education level?3. Number of Work experience years?4. To What Degree, you are interested to start a social entrepreneurship activity?II. The following questions are presented1Lack of involvement in Environmental policy making By Social Entrepreneurs2Lack of social impact recordings3Limiting performance measurements to financial performance4Lack of CSR Reporting or social auditing5Market Entry Barriers for Social Entrepreneurs6Lack of Opportunity Recognition By Social Entrepreneurs7Lack of Financial assistance for Social Entrepreneurs8Existence of Powerful Competitors9Lack of contribution to local environmental capital10Lack of Perception of involvement in community11Lack of Awareness about community assets12Lack of Social Purposes13Lack of Awareness about SE in Academic world14Lack of Theories in SE Field15Difficulties in paying attention to economic and social issues at the same time16Lack of Value Creation in current SE activities17Lack of Society involvement18Lack of Innovative thinking19Lack of interest in social Change20Lack of Support Networks for Social Entrepreneurs21Lack of Knowledge in Social Entrepreneurs22Lack of Framing Processes in order to do collective actions23Difficulties in Making a good Brand Image24Existence of Numerous Actors in Social issues25unsuitable Revenue Models26Lack of Social objectives27Lack of Economic, social and environmental values28Lack of Supportive regulations and laws and Tax Policies29Lack of Strategic Niche Markets for their activities30Lack of Partner Networks31Lack of Administrative Structures32Lack of local Capacity Building Activities33Lack of local movements34Local Norms35High Risks36Lack of Sense of accountability in Social Entrepreneurs37Complexity of Management in Social Enterprises38Cross Disciplinary nature of SE39lack of Social Entrepreneurial behavior40Lack of Social Entrepreneurship education41Lack of Ability to challenge traditional ways of thinking42Lack of Optimism43Lack of Empathy in Entrepreneurs44Lack of Cultural awareness45Lack of ability to Create and sustain social value46High Environmental dynamics 47Lack of Entrepreneurial spirit 48None-profit to for-profit competition49Lack of learning from failure50Focus on individual level of analysis

Disciplines such as business and economics often rely on the assumption of rationality when explaining complex human behaviours. However, growing evidence suggests that behaviour may concurrently be influenced by infec- tious microorganisms. The protozoan, Toxoplasma gondii, infects an estimated 2 billion people worldwide and has been linked to behavioural alterations in humans and other vertebrates. Here we integrate primary data from college students and business professionals with national-level information on cultural attitudes toward business to test the hypothesis that T. gondii infection influences individual as well as societal-scale entre- preneurship activities. Using a saliva-based assay, we found that students (n 1⁄4 1495) who tested IgG positive for T. gondii exposure were 1.4 more likely to major in business and 1.70 more likely to have an emphasis in ‘management and entrepreneurship’ over other business-related emphases. Among professionals attending entrepreneurship events, T. gondii-positive individuals were 1.8 more likely to have started their own business com- pared with other attendees (n 1⁄4 197). Finally, after synthesizing and combining country-level databases on T. gondii infection from the past 25 years with the global entrepreneurship monitor of entrepreneurial activity, we found that infection prevalence was a consistent, positive predictor of entrepreneurial activity and intentions at the national scale, regardless of whether previously identified economic covariates were included. Nations with higher infection also had a lower fraction of respondents citing ‘fear of failure’ in inhibiting initiating new business ventures. While correlational, these results highlight the linkage between parasitic infection and complex human behaviours, including those relevant to business, entrepreneurship, and economic productivity.

The paper deals with the potential relationship between higher education and entrepreneurial activities. Universities and other higher education institutions could be seen as boosting entrepreneurship in the region. University graduates could be more often involved in starting up a new business and the university itself could commercialize their innovations by creating academic spin-off companies. The paper aims to examine the potential effect of higher education on the probability of starting a business as well as its further success. Based on the data for 40 EU and non-EU countries, retrieved from a Eurobarometer survey, we conducted probit and IV probit regressions. These have tested the assumed relationship between higher education and entrepreneurial activities. Our results strongly suggest that higher education can often be very beneficial for starting up a new business and this seems to be one of the factors determining the success of new businesses. Furthermore, those respondents who attended courses related to entrepreneurship appear to be more active in starting-up a business and this seems to be also positively correlated with the company's future success. Interestingly, university graduates from Brazil, Portugal and India in particular, tend to appreciate the role that their universities have played in acquiring the skills to enable them to run a business.

Russian Federation global entrepreneurship index was at level of 24.8 index in 2019, down from 25.22 index previous year, this is a change of 1.65%. Score

Explore Production, entrepreneurship, and profits through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets

In 2019, global entrepreneurship index for Angola was 15.1 index. Global entrepreneurship index of Angola fell gradually from 22.7 index in 2015 to 15.1 index in 2019. Score

Results of a study conducted in 2021 by the City of Montreal on access to entrepreneurial services for vulnerable populations. This survey aimed to 1) identify the main barriers to accessing entrepreneurship on the Island of Montreal, 2) draw a portrait of entrepreneurs according to their potential level of vulnerability in accessing available tools, services and support resources and 3) identify the main levers of access to entrepreneurship.