Description
| Product ID: | 9780367542092 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | Routledge Focus on Business and Management |
| Title: | Global Entrepreneurship Analytics |
| Subtitle: | Using GEM Data |
| Authors: | Author: Leon Dario Parra Bernal, Milenka Linneth Argote Cusi |
| Page Count: | 90 |
| Subjects: | Research methods: general, Research methods: general, Sociology: work and labour, Economics, Entrepreneurship / Start-ups, Knowledge management, Production and quality control management, Research and development management, Business mathematics and systems, Sociology: work & labour, Economics, Entrepreneurship, Knowledge management, Production & quality control management, Research & development management, Business mathematics & systems |
| Description: | Select Guide Rating This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics. 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. 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. |
| Imprint Name: | Routledge |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2022-04-29 |
