No size fits all - Exploring Entrepreneurship Measurement using Big Data, rare Events and Ecosystems

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Bloh, Johannes von: No size fits all - exploring entrepreneurship measurement using Big Data, rare events and ecosystems. Hannover : Gottfried Wilhelm Leibniz Universität, Diss., 2021, 220 S. DOI: https://doi.org/10.15488/10901

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Sum total of downloads: 465




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Abstract: 
Entrepreneurship is one major factor influencing the world we live in. At that, the relationship between entrepreneurship and this world is an interdependent one and entrepreneurial activity in any given territory is an inherently economic geographical process. As a highly multidisciplinary research field, entrepreneurship has been analysed for decades, yet as the world progresses, the entrepreneurial phenomena evolve as well. Sophisticated research needs outstanding data. Plenty manifestations of entrepreneurship are not or not sufficiently covered by such data. There is a need to explore new methods and approaches for data on entrepreneurship to tackle unsolved issues and address newly developing phenomena. Some entrepreneurial events are so rare it is difficult to get quantitative data on them, making them dominated by qualitative case studies. Moreover, other areas in entrepreneurship are so complex, that reliable comparable data need a broad and coordinated approach. This thesis addresses these issues as such, that it contributes to a more complete empirical data body, and it expands the understanding how bespoke methodology leads to phenomenon specific empirical data and ultimately to place based policies and is thus overall advancing entrepreneurship research.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: DoctoralThesis
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Naturwissenschaftliche Fakultät
Dissertationen

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 185 39.78%
2 image of flag of United States United States 72 15.48%
3 image of flag of Russian Federation Russian Federation 40 8.60%
4 image of flag of Czech Republic Czech Republic 35 7.53%
5 image of flag of China China 20 4.30%
6 image of flag of No geo information available No geo information available 13 2.80%
7 image of flag of United Kingdom United Kingdom 9 1.94%
8 image of flag of Ireland Ireland 7 1.51%
9 image of flag of Canada Canada 5 1.08%
10 image of flag of Austria Austria 5 1.08%
    other countries 74 15.91%

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