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TwitterThough the recent recession was the worst downturn since the Great Depression, some observers argue that one silver lining is an upswing in entrepreneurship. Recessions, they claim, provide laid-off workers with the motivation to start their own businesses, and a recent study suggests that in 2009 the number people becoming self employed spiked to its highest level in more than a decade. Unfortunately, a careful look at multiple sources of data shows that the Great Recession was actually a time of considerable decline in entrepreneurial activity in the United States.
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TwitterThis statistic shows the rates of entrepreneurship framework conditions in Switzerland in 2018, according to a selected set of indicators. According to data from the Global Entrepreneurship Monitor, in 2018, physical infrastructure had the highest evaluation of ****. In contrast to that, entrepreneurial education at school stage was rated at ***, which is the lowest of all the indicators.
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TwitterWhile older entrepreneurs are more likely to be male, white, and have higher levels of human, social, and financial capital, we know less about interest in later-life entrepreneurship. This study estimates entrepreneurial interest in a nationally representative sample of Americans aged 50 to 70 using partial proportional odds modeling. We estimate that more than 31 million older Americans have some interest in entrepreneurship and reveal key predictors of this interest (e.g., younger age). Importantly, the findings indicate that a more diverse group of older adults are interested in entrepreneurship than have become entrepreneurs, suggesting the need for additional research on the potential disparities between entrepreneurial interest and action in later life.
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This dataset tracks annual reading and language arts proficiency from 2010 to 2012 for Business Entrepreneurship Science Technical Academy vs. Michigan and Business Entrepreneurship Science TECH. Academy School District
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TwitterThis statistic displays the views of entrepreneurs on sustainable entrepreneurship in the Netherlands in 2018. Of the self-employed entrepreneurs taking part in this survey, nearly ** percent said to do a lot with sustainability already. Among SME entrepreneurs this was even higher, at just under ** percent.
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This dataset tracks annual graduation rate from 2011 to 2012 for Institute Of Business And Entrepreneurship High School vs. Maryland and Baltimore City Public Schools
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TwitterAll the datasets uploaded contain all the variables required for the analysis carried out in the paper titled: “The impact of entrepreneurship training and credit on labour market outcomes of disadvantaged youth” psm_DP_Labd This dataset contains all the variables used to match the propensity scores. 1_Promise_single_974_DP_Labd This dataset has variables regarding ownership of businesses, savings and expenditure. 2_Promise_roster_974_DP_Labd Variables covering all the demographic characteristics are all gathered in this dataset. 3_Promise_q10_occup_974_DP_Labd Variables regarding employment are all in this dataset. 4_Promise_q12_loan_974_DP_Labd All the variables pertaining to loan are filed in this dataset.
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This is a database constructed for conducting analysis of qualitative data based on IDIs for the purpose of preparing of PhD dissertation. The scope of analysis was development of social entrepreneurship in Poland - the role of the institutional environment. The database involves 20 respondents: company leaders of social enterprises and representatives of stakeholders from Poland.
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ABSTRACT Along with entrepreneurship´s continuing emergence among the management sciences, there is an ongoing debate about what the field is - or should be. In this regard, to have a better understanding of the development of this research field, it is useful to understand the scientific structure. This study uses bibliometric techniques and cluster analyses to present an empirically grounded picture of the entrepreneurship research. This research analyzes the 1,112 full-length papers published in the FER Proceedings between 1981 and 2009, and the 378 articles published in the Journal of Business Venturing between 2000 and 2010. Both forums are considered representative in the exchange of entrepreneurial thought. The results indicate that entrepreneurship research published in these forums is characterized by varied themes that are not necessarily connected. Rather, they reflect the disciplinary training and lens of their authors; and considerable dynamism and change in key research themes over time. Hopefully, the results presented here provide abundant opportunities for identifying insightful, influential, and creative research topics in the entrepreneurship field.
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TwitterThis dataset titled "Systematic Literature Dataset on Internet of Things in Entrepreneurship (2020–2024)" presents a curated collection of 23 peer-reviewed articles sourced from Scopus, spanning the years 2020 to 2024. The dataset focuses on the intersection of the Internet of Things (IoT) and entrepreneurship, addressing key questions related to technological enablers and existing research gaps. The research was conducted through a Systematic Literature Review (SLR) following the PRISMA protocol, ensuring methodological rigor and transparency. The key enablers of IoT in entrepreneurship were identified through thematic analysis using the Grounded Theory approach of Gioia, allowing the emergence of structured theoretical insights. The dataset provides not only the list and mapping of reviewed studies but also includes visual representations in the form of a PRISMA flowchart (PNG), a diagram of Key Enablers of IoT in Entrepreneurship (PNG), and a document outlining the SLR Mapping of Key Enablers (DOCX). The dataset was constructed to answer two core research questions: (RQ1) What are the key enablers of the Internet of Things in entrepreneurship studies? (RQ2) What are the perspectives and research gaps of the Internet of Things in entrepreneurship studies? This dataset is intended to support future research, academic inquiry, and policy development by offering structured insight into how IoT has influenced and enabled innovation within entrepreneurial contexts over the past five years.
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Italy IT: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 2.648 Number in 2016. This records an increase from the previous number of 2.577 Number for 2015. Italy IT: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 2.221 Number from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 2.648 Number in 2016 and a record low of 1.906 Number in 2012. Italy IT: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations registered in the calendar year.; ; World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).; Unweighted average; For cross-country comparability, only limited liability corporations that operate in the formal sector are included.
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Time series data for the statistic Women, Business and the Law: Entrepreneurship Indicator Score (scale 1-100) and country Japan. Indicator Definition:The Entrepreneurship indicator measures constraints on women starting and running a business.. The Entrepreneurship indicator score is obtained by calculating the unweighted average of the following: 1. SG.CNT.SIGN.EQ; 2. SG.BUS.REGT.EQ; 3. SG.OPN.BANK.EQ; 4. SG.LAW.CRDD.GR (= 25 points each) and scaling the result to 100.
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TwitterEntrepreneurship is risky. We study the risk facing a well-documented and important class of entrepreneurs, those backed by venture capital. Using a dynamic program, we calculate the certainty-equivalent of the difference between the cash rewards that entrepreneurs actually received over the past 20 years and the cash that entrepreneurs would have received from a risk-free salaried job. The payoff to a venture-backed entrepreneur comprises a below-market salary and a share of the equity value of the company when it goes public or is acquired. We find that the typical venture-backed entrepreneur received an average of $5.8 million in exit cash. Almost three-quarters of entrepreneurs receive nothing at exit and a few receive over a billion dollars. Because of the extreme dispersion of payoffs, an entrepreneur with a coefficient of relative risk aversion of two places a certainty equivalent value only slightly greater than zero on the distribution of outcomes she faces at the time of her company's launch. (JEL G24, G32, L26, M13)
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TwitterThis dataset provides benchmarking of 220 undergraduate programs (BS BSc BA BBA). From this dataset, a paper has already been published:
Siddiqui, K., & Alaraifi, A. (2019). What they don't teach at entrepreneurship institutions? An assessment of 220 entrepreneurship undergraduate programs. Journal of Entrepreneurship Education, 22(6), 1-16.
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This study shows that young entrepreneurs see AI as a powerful tool for growing their businesses. They're using AI platforms like ChatGPT and analytics tools to learn about market trends, understand their customers better, and make smarter business decisions. These young business owners find AI helpful in many ways - it saves them time, helps them spot opportunities, and solves problems faster. However, they also face some challenges when using AI, like finding it complicated at first and worrying about whether they can trust the information it gives them. To deal with this, they often check AI's suggestions against their own experience and what their customers tell them. Despite these challenges, the entrepreneurs we talked to believe AI will become even more important for running a successful business in the future. They're excited about how AI could help them learn and adapt quickly in the fast-changing business world. This research highlights both the opportunities and the hurdles young entrepreneurs face when using AI, and suggests that with the right support and strategies, AI can be a game-changer for their businesses. The findings from this study can help other young entrepreneurs, business advisors, and policymakers understand how to better use and support AI in small businesses, potentially leading to more successful startups and stronger economic growth.
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This table provides for several countries an overview of :
- business ownership rate;
- prospective and young entrepreneurship;
- firm turbulence (births and exits of enterprises, business survival rate);
- fast-growing enterprises;
- propensity towards entrepreneurship;
- self-employment rate (by sex).
High business turnover rates, many fast-growing enterprises, many young entrepreneurs and a positive attitude towards entrepreneurship are an indication of a favourable investment climate.
Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands.
Data available from 1990 up to 2012.
Status of the figures: The external sources of these data frequently supply adjusted figures on preceding periods. These adjusted data are not mentioned as such in the table.
Changes as of 22 December 2017: No, table is stopped.
When will new figures be published? Not.
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ABSTRACT Purpose: The aim of this research is to describe the main reasons and difficulties for women to establish businesses and to identify possible differences between those that go into industry and those that establish commerce or service businesses. Originality/gap/relevance/implications: The establishment of business is highly important for Entrepreneurship and its understanding is relevant to pinpoint the reasons and identify the difficulties that entrepreneurs have to establish their companies. Key methodological aspects: A quantitative study of 102 industry women entrepreneurs and 96 commerce/services entrepreneurs was carried out. Data were collected by a structured questionnaire and by two Likert scales, which measured reasons and difficulties in the establishment of companies. A cluster analysis was undertaken to identify possible groups of attributes related to reasons and difficulties in the establishment of enterprises to group variables. The Mann-Whitney test was employed to compare reasons and difficulties in the establishment of enterprises between the two groups (industry and commerce/service) to identify statistically significant differences. Summary of key results: Results by the Mann-Whitney test revealed that the two groups assigned the same level of importance to the reasons for business establishment: improvement difficulty in the previous job; desire to financially help offspring; re-entry into the labor market; earning lot of money. The same test showed no significant difference in importance level assigned to eight difficulties for the establishment of business: I did not believe in my own capacity; I had never had any link with other companies; I did not have any access to industry information; People did not believe in my potential; I was afraid to quit my job; I was never acquainted with a business plan; I had no money for advertising my business; I found it difficult to choose the location of the company. Key considerations/conclusions: Results show that women entrepreneurs are not a homogenous group and that there is a need for public policies that would minimize difficulties in the setting up of companies to increase women´s participation as entrepreneurs.
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TwitterIn 2019, around **** percent of early-stage businesses (in the first *** years after their foundation) in Colombia were operating in the wholesale and retail industry. Meanwhile, **** percent of the early-stage entrepreneurial activity in Colombia was in the segment of health, education, government and social services.
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This dataset delves into the motivations and behaviours of elderly entrepreneurs in Cyprus - individuals who continue to engage in entrepreneurial activities past retirement age. Cypriot entrepreneurs often remain active post-retirement for varied reasons.
The dataset includes quantitative data from a survey of 122 elderly entrepreneurs collected in Cyprus (areas of Nicosia and Limassol), between the second half of 2018 and the first half of 2019. The dataset includes demographic characteristics and the measure of the following constructs: Self-efficacy, Passion Scale, Loneliness, Work-life Balance, Satisfaction with life, Personality, and Entrepreneurial intention.
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This dataset is about book subjects. It has 2 rows and is filtered where the books is Entrepreneurship and religion : Korean immigrants in Houston, Texas. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
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TwitterThough the recent recession was the worst downturn since the Great Depression, some observers argue that one silver lining is an upswing in entrepreneurship. Recessions, they claim, provide laid-off workers with the motivation to start their own businesses, and a recent study suggests that in 2009 the number people becoming self employed spiked to its highest level in more than a decade. Unfortunately, a careful look at multiple sources of data shows that the Great Recession was actually a time of considerable decline in entrepreneurial activity in the United States.