Global Entrepreneurship Analytics

Using GEM Data
1. Auflage 2022
ISBN: 978-0-367-54209-2
Verlag: Routledge

Buch, Englisch, 90 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 128 g

Reihe: Routledge Focus on Business and Management

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.

Zielgruppe

Postgraduate

Autoren/Hrsg.

Argote Cusi, Milenka Linneth

Parra Bernal, León Darío

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Kleine und Mittlere Unternehmen
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensführung

Inhaltsverzeichnis

1. Methodology for the Evaluation of Data Quality: The GEM Case 2. The Global Entrepreneurship Rate: A Methodological Proposal 3. Forecast Entrepreneurship Population with Fuzzy Time Series 4. A Case Study of the Application of Big Data in Entrepreneurship

Über Autor(innen)

Milenka Linneth Argote Cusi is Founder of Business Intelligence and Demography SAS (www.bidem.com.co).

León Darío Parra Bernal is Assistant Professor at EAN University, Bogotá, Colombia (www.universidadean.edu.co).

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