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The Impact of Perceptual, Economic, ...
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Adams, Kenneth Raymond.
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The Impact of Perceptual, Economic, and Demographic Variables on Entrepreneurial Activity in Globally Diverse Ecosystems: Evidence from GEM Data.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Impact of Perceptual, Economic, and Demographic Variables on Entrepreneurial Activity in Globally Diverse Ecosystems: Evidence from GEM Data./
作者:
Adams, Kenneth Raymond.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:
191 p.
附註:
Source: Dissertation Abstracts International, Volume: 78-08(E), Section: A.
Contained By:
Dissertation Abstracts International78-08A(E).
標題:
Adult education. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10583298
ISBN:
9781369619935
The Impact of Perceptual, Economic, and Demographic Variables on Entrepreneurial Activity in Globally Diverse Ecosystems: Evidence from GEM Data.
Adams, Kenneth Raymond.
The Impact of Perceptual, Economic, and Demographic Variables on Entrepreneurial Activity in Globally Diverse Ecosystems: Evidence from GEM Data.
- Ann Arbor : ProQuest Dissertations & Theses, 2016 - 191 p.
Source: Dissertation Abstracts International, Volume: 78-08(E), Section: A.
Thesis (Ed.D.)--North Carolina State University, 2016.
Leveraging a sample of more than 198,000 adult entrepreneurs, both currently involved in the startup of a business or formerly involved in business creation, this study investigates the perceptual, societal impression, economic, and demographic variables that are predictive with an individual's decision to engage in entrepreneurial activity. Guided by existing literature on cognition and social capital, as well as economics, the research attempts to establish an association between this decision and a holistic set of characteristics. The research considers whether perceptual and societal impression attributes, such as alertness to opportunities, aversion to risk, self-confidence, and whether entrepreneurship is a viable career choice, are significantly correlated with entrepreneurial engagement across countries in our sample.
ISBN: 9781369619935Subjects--Topical Terms:
543202
Adult education.
The Impact of Perceptual, Economic, and Demographic Variables on Entrepreneurial Activity in Globally Diverse Ecosystems: Evidence from GEM Data.
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Leveraging a sample of more than 198,000 adult entrepreneurs, both currently involved in the startup of a business or formerly involved in business creation, this study investigates the perceptual, societal impression, economic, and demographic variables that are predictive with an individual's decision to engage in entrepreneurial activity. Guided by existing literature on cognition and social capital, as well as economics, the research attempts to establish an association between this decision and a holistic set of characteristics. The research considers whether perceptual and societal impression attributes, such as alertness to opportunities, aversion to risk, self-confidence, and whether entrepreneurship is a viable career choice, are significantly correlated with entrepreneurial engagement across countries in our sample.
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This study will be directed by the following research questions: What is the likelihood of an individual making the decision to participate in entrepreneurial activity (nascent or established) given his or her perceptual, demographic, economic, and societal impression variables? Specifically, 1. To what extent do perceptual variables predict different levels of entrepreneurial activity in globally diverse ecosystems? 2. To what extent do demographic and economic variables predict different levels of entrepreneurial activity in globally diverse ecosystems? 3. To what extent do societal impression variables predict different levels of entrepreneurial activity in globally diverse ecosystems? 4. To what extent does an aggregate of factors predict different levels of entrepreneurial activity in globally diverse ecosystems?
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This study is designed to measure the impact of perceptual, demographic, economic, and societal impression variables on entrepreneurial activity. The study uses Global Entrepreneurship Monitor data from 2012 with a sample representing an estimated 74% of the world's population and 87% of the world's total GDP. The method for this research is quantitative in nature. In order to answer the four research questions, binomial logistic regression was conducted. A summary of the results, implications, and discussion are presented.
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