Authors:
- Presents the Entrepreneurship Quality Index (EQI) to measure qualitative differences in entrepreneurship
- Offers a number of ideas and insights as to how the quality of entrepreneurship can be measured more accurately
- Applies rigorous tools of mathematical statistics and quality engineering, such as quality control, Bayesian approach, and standardization
Part of the book series: Contributions to Management Science (MANAGEMENT SC.)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (6 chapters)
-
Front Matter
-
Back Matter
About this book
This book tackles the perplexing problem of how to capture the qualitative differences that exist in entrepreneurship at any given point in time or across time, by presenting a novel qualitative index: Entrepreneurship Quality Index (EQI). This comprehensive composite index is based on recognized interactions among different factors affecting intensity and types of entrepreneurial activity, which in turn is impacting the well-being. It brings qualitative differences in entrepreneurship depending on time and space into calculation of the composite index. Besides, EQI is the missing piece of the entrepreneurship puzzle, and the quality of entrepreneurship is a significant factor that shows why less developed countries do not achieve higher levels of economic growth, despite their high rate of entrepreneurial activities.
This book does a masterful job in explaining the diversity of existing perspectives, their contributions, and their shortfalls. It applies rigorous tools of mathematical statistics and quality engineering, such as Bayes’ rule, maximum likelihood estimation, six sigma algorithm, and standardization equation, to derive and introduce EQI, as a novel operations research model. It offers a number of important ideas and insights as to how the quality of entrepreneurship can be measured more accurately. It also illustrates the proposed approaches showing their efficacy across time. The proposed solutions are logical and empirically sound; they represent an important leap in thinking about the quality of entrepreneurship. Its contribution is crucial and timely — one that will be well recognized by researchers worldwide. They give a much-needed framework along with the necessary tools to evaluate and measure entrepreneurial activities.
Keywords
- Entrepreneurship Quality Index
- Entrepreneurship
- Bayesian analysis
- Six=-sigma
- Qualitative index
- EQI
- Bayesian Nonparametric Approach
- Bayesian Inference
- Entrepreneurial Innovation
- Quality Control
- Quality Engineering
- Maximum Likelihood Estimation
- Quality Management
- Operations Research
- Strategy
- Tools
- Quality
- Quality tools
- Comprehensive index
- Level
Authors and Affiliations
-
UNESCO Chair, Professor Emeritus, Cambridge, USA
Nezameddin Faghih
-
GEM Office, University of Tehran, Tehran, Iran
Lida Sarreshtehdari, Ebrahim Bonyadi
About the authors
Nezameddin Faghih is the UNESCO Chair Professor Emeritus, and the Founding Editor-in-Chief of the Journal of Global Entrepreneurship Research (Springer). He has published more than 50 books and 100 research articles, and presented more than 120 invited talks in academia, industry, and professional meetings.
Lida Sarreshtehdari is an applied statistician focusing on entrepreneurship, with expertise in the Global Entrepreneurship Monitor (GEM) dataset. She is a researcher at the Global Entrepreneurship Monitor (GEM) Office of the Faculty of Entrepreneurship, University of Tehran (Iran). She has published two books, several research articles, and reports on domestic entrepreneurship since 2011.
Ebrahim Bonyadi is an applied statistician in the areas of business and economics, and is a researcher at the Global Entrepreneurship Monitor (GEM) Office of the Faculty of Entrepreneurship, University of Tehran (Iran). His scholarly research focuses on factorsinfluencing entrepreneurship, business and economic growth. He has published two books and several research articles.
Bibliographic Information
Book Title: Entrepreneurship Quality Index (EQI)
Book Subtitle: A New Operations Research Model Using Bayesian Approach and Quality Engineering
Authors: Nezameddin Faghih, Lida Sarreshtehdari, Ebrahim Bonyadi
Series Title: Contributions to Management Science
DOI: https://doi.org/10.1007/978-3-030-77159-1
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-77158-4Published: 29 August 2021
Softcover ISBN: 978-3-030-77161-4Published: 30 August 2022
eBook ISBN: 978-3-030-77159-1Published: 28 August 2021
Series ISSN: 1431-1941
Series E-ISSN: 2197-716X
Edition Number: 1
Number of Pages: XXXII, 129
Number of Illustrations: 10 b/w illustrations, 7 illustrations in colour
Topics: Entrepreneurship, Business and Management, general, Operations Research/Decision Theory, Economic Growth