Global Entrepreneurship Analytics: Using GEM Data

This book proposes new methodologies for measuring entrepreneurship by applying techniques of demography, engineering, mathematics, and statistics. It uses data from the Global Entrepreneurship Monitor (GEM) to evaluate data quality and estimate Specific Entrepreneurship Rates (SER) and the Global Entrepreneurship Rate (GER). It also presents artificial intelligence techniques like Fuzzy Time Series (FTS) to forecast data series. A case study of the implementation of Big Data in Entrepreneurship using GEM data is presented, showing the latest technological trends for data management. The techniques presented can be applied to any dataset in different areas, and readers will learn new methodologies of analysis and measurement of entrepreneurship.

\n Format: Hardback
\n Length: 78 pages
\n Publication date: 21 September 2020
\n Publisher: Taylor & Francis Ltd
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This groundbreaking work presents novel approaches to measuring entrepreneurship by integrating techniques from demography, engineering, mathematics, and statistics. By leveraging data from the Global Entrepreneurship Monitor (GEM), statistical demographic techniques are employed to assess data quality (EDQ). Additionally, a novel methodology is proposed for estimating Specific Entrepreneurship Rates (SER) and the Global Entrepreneurship Rate (GER). Furthermore, the authors introduce artificial intelligence techniques like Fuzzy Time Series (FTS) to forecast data series related to the entrepreneurial population. Finally, a case study is presented, showcasing the implementation of Big Data in Entrepreneurship utilizing GEM data, highlighting the latest technological trends in data management for more accurate decision-making. As a methodological book, the presented techniques can be applied to various datasets across different domains. Readers will gain valuable insights into new analytical and measurement methodologies for entrepreneurship, utilizing data from the Global Entrepreneurship Monitor. They will have the opportunity to explore the authors' expertise through each applied case, which guides the reader through a scientific approach and the methodology of constructing more accurate metrics in entrepreneurship, with reduced errors.

This book holds significant value for advanced-level students, academics, and researchers in the fields of Entrepreneurship, Business Analytics, and Research Methodology. Its innovative approaches and practical applications will contribute to the advancement of knowledge in these domains.

\n Weight: 224g\n
Dimension: 144 x 223 x 12 (mm)\n
ISBN-13: 9780367321178\n \n