Global Entrepreneurship Analytics

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Global Entrepreneurship Analytics

Global Entrepreneurship Analytics
Author :
Publisher : Routledge
Total Pages : 78
Release :
ISBN-10 : 9781000178586
ISBN-13 : 1000178587
Rating : 4/5 (587 Downloads)

Book Synopsis Global Entrepreneurship Analytics by : Milenka Linneth Argote Cusi

Download or read book Global Entrepreneurship Analytics written by Milenka Linneth Argote Cusi and published by Routledge. This book was released on 2020-09-20 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics. Using the data from the Global Entrepreneurship Monitor (GEM), statistical demographic techniques are used for the evaluation of data quality (EDQ), and a new methodology for the estimation of Specific Entrepreneurship Rates (SER) and the Global Entrepreneurship Rate (GER) is proposed. At the same time the authors present artificial intelligence techniques such as Fuzzy Time Series (FTS) to forecast data series of the entrepreneurial population. Finally, they present a case study of the implementation of Big Data in Entrepreneurship using GEM data that shows the latest technological trends for the management of data, in support of making more accurate decisions. Being a methodological book, the techniques presented can be applied to any dataset in different areas. Readers will learn new methodologies of analysis and measurement of entrepreneurship using data from the Global Entrepreneurship Monitor. They will be able to access the experience of the authors through each of the applied cases in which the reader is taken by the hand, both through the scientific method and through the methodology of construction of more accurate metrics in entrepreneurship, with less error. This book will be of value to students at an advanced level, academics and researchers in the fields of Entrepreneurship, Business Analytics and Research Methodology.


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