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.

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

Autorentext
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 factors influencing entrepreneurship, business and economic growth. He has published two books and several research articles.

Inhalt
Chapter 1: Introduction.- Chapter 2: Entrepreneurship and Quality Control.- Chapter 3: Quality Control.- Chapter 4: Estimation of Missing Values.- Chapter 5: Indexing the Entrepreneurship Quality.- Chapter 6: Summary of Study.- References.<p