The Global Entrepreneurship Monitor (GEM) and its Impact on Entrepreneurship Research reviews the academic contributions of the GEM project since its inception. It starts with a basic overview of the GEM methodology and concludes with providing suggestions for future GEM-based research.

In 2013, more than 197,000 individuals have been surveyed and approximately 3,800 national experts on entrepreneurship participated in the study across 70 economies, collectively representing all global regions of the world and a broad range of economic development levels. The samples in the GEM 2013 study represent an estimated 75% of the world's population and 90% of the world's total GDP. In addition to its annual measures of entrepreneurship dynamics, GEM analyzed well-being as a special topic in 2013.

The Global Entrepreneurship Monitor (GEM) is a project carried out by a research consortium dedicated to understanding the relationship between entrepreneurship and national economic development. Since 1999 GEM reports have been a key source of comparable data across a large variety of countries on attitudes toward entrepreneurship, start-up and established business activities, and aspirations of entrepreneurs for their businesses. The growing databases increasingly allow for in-depth academic research and this is mirrored by the rapidly increasing amount of GEM-based scientific publications in a wider range of academic journals. At this point it is appropriate to provide an overview on these publications, to summarize their main contributions, and to provide some directions for obtaining promising GEM-based academic contributions in the future. This publication provides a review of 89 GEM-based academic publications in SSCI-listed journals since 2004, with the objectives to highlight the particular advantages of GEM data, their quality and usability, as well as their limitations. It also recommends a number of ways in which the GEM project might evolve further and make more impact on entrepreneurship research, on entrepreneurship policy and practice, and ultimately on getting more grip on the complex relation between entrepreneurship and economic development.

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.

This book presents the Entrepreneurship Viability Index (EVI) as a focal point to define other novel indices. It also introduces readers to new concepts and metrics of entrepreneurship to help measure the lifespan of entrepreneurial activities and quantify the capabilities of entrepreneurs as well as the share of efficient businesses at the country level. Using a variety of mathematical models and providing details for each category of business, EVI is measured as the ratio of the ‘rate of entrepreneurial activities’ to the ‘rate of exit from the business’, reflecting the sustainability, durability, business success, and status of entrepreneurial activities in a country. These metrics offer a unique opportunity for researchers and policymakers to assess the status of efficient entrepreneurial activities, which influence the economy, and to study economic resistance in the event of economic shocks or recessions. The book provides valuable information on various key concepts in entrepreneurship, such as the interaction of individual and environmental factors, motivation and entrepreneurial activities, which allow the prediction of entrepreneurship treatment across countries. This in turn plays a significant role in identifying the factors that secure or threaten a country’s business sector. The book helps readers, researchers, policymakers, lenders, "angel investors" and anyone with a financial interest in entrepreneurial businesses to understand how even more viable businesses could be created than is the case today, and to recognize new categories of budding entrepreneurs.

This volume provides a comprehensive review of the theoretical concepts and empirical models of entrepreneurship from a non-conventional perspective. It makes recent advances in the theory and application of the economics of entrepreneurship accessible to a wider audience, including policy makers. It emphasizes data requirements to advance the future research agenda and to allow for a better design and monitoring of entrepreneurial policy.

Cases on Information Technology and Entrepreneurship is a cutting-edge look into how IT can be the structural foundation of an entrepreneurship, describing specific examples of IT as the base of a start-up company and demonstrating how, using IT as a strategic advantage, entrepreneurs can quickly move toward achieving their business goals.

The Relationship between Entrepreneurship and Economic Development summarizes and updates the empirical evidence and presents the main lines of reasoning behind the relationship between economic development and entrepreneurship.

Entrepreneurship, Innovation and Technological Change links the prevalent theory from the entrepreneurship literature concerning opportunity recognition and exploitation to economic theory, in particular the model of the knowledge production function.

As governments across the world look to entrepreneurship as a way to increase the wealth and well-being of their countries, this volume brings together leading scholars to provide a comprehensive overview of entrepreneurial activity based on empirical data.