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Global Entrepreneurship Analytics

Global Entrepreneurship Analytics
Author: Milenka Linneth Argote Cusi
Publisher: Routledge
Total Pages: 78
Release: 2020-09-20
Genre: Business & Economics
ISBN: 1000178587

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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.


Global Entrepreneurship Analytics

Global Entrepreneurship Analytics
Author: Milenka Linneth Argote Cusi
Publisher: Routledge
Total Pages: 53
Release: 2020-09-20
Genre: Business & Economics
ISBN: 1000178625

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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.


The Dynamics of Entrepreneurship

The Dynamics of Entrepreneurship
Author: Maria Minniti
Publisher: Oxford University Press
Total Pages: 348
Release: 2013-02-14
Genre: Business & Economics
ISBN: 019967244X

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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.


Global Business Analytics Models

Global Business Analytics Models
Author: Hokey Min
Publisher: FT Press
Total Pages: 239
Release: 2016-03-05
Genre: Business & Economics
ISBN: 0134057619

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THE COMPLETE GUIDE TO USING ANALYTICS TO MANAGE RISK AND UNCERTAINTY IN COMPLEX GLOBAL BUSINESS ENVIRONMENTS Practical techniques for developing reliable, actionable intelligence–and using it to craft strategy Analytical opportunities to solve key managerial problems in global enterprises Written for working managers: packed with realistic, useful examples This guide helps global managers use modern analytics to gain reliable, actionable, and timely business intelligence–and use it to manage risk, build winning strategies, and solve urgent problems. Dr. Hokey Min offers a practical, easy-to-understand overview of business analytics in a global context, focusing especially on managerial and strategic implications. After demystifying today’s core quantitative tools, he demonstrates them at work in a wide spectrum of global applications. You’ll build models to help segment global markets, forecast demand, assess risk, plan financing, optimize supply chains, and more. Along the way, you’ll find practical guidance for developing analytic thinking, operationalizing Big Data in global environments, and preparing for future analytical innovations. Whether you’re a global executive, strategist, analyst, marketer, supply chain professional, student or researcher, this book will help you drive real value from analytics–in smarter decisions, improved strategy, and better management. In today’s global business environments characterized by growing complexity, volatility, and uncertainty, business analytics has become an indispensable tool for managing these challenges. Specifically, global managers need analytics expertise to solve problems, identify opportunities, shape strategy, mitigate risk, and improve their day-to-day operational efficiency. Now, for the first time, there’s an analytics guide designed specifically for decision-makers in global organizations. Leveraging his experience teaching a number of students and training hundreds of managers and executives, Dr. Hokey Min demystifies the principles and tools of modern business analytics, and demonstrates their real-world use in global business. First, Dr. Min identifies key success factors and mindsets, helping you establish the preconditions for effective analysis. Next, he walks you through the practicalities of collecting, organizing, and analyzing Big Data, and developing models to transform them into actionable insight. Building on these foundations, he illustrates core analytical applications in finance, healthcare, and global supply chains. He concludes by previewing emerging trends in analytics, including the newest tools for automated decision-making. Compare today’s key quantitative tools Stats, data mining, OR, and simulation: how they work, when to use them Get the right data... ...and get the data right Predict the future... ...and sense its arrival sooner than others can


Global Entrepreneurship

Global Entrepreneurship
Author: James Hayton
Publisher: Routledge
Total Pages: 253
Release: 2014-11-20
Genre: Business & Economics
ISBN: 1134473923

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Entrepreneurs around the world are encouraged and held up as the new deliverers of economic growth in turbulent times. Entrepreneurship is taught globally, but often without much reference to the truly global array of cases and examples that can provide helpful insights for international students in particular. This collection brings together expert entrepreneurship scholars to provide a collection of global case studies around entrepreneurial firms worldwide. This unique educational resource covers a broad range of topics of relevance to understanding entrepreneurship including corporate, social and indigenous entrepreneurship. This book provides entrepreneurship educators with reliable cases suitable for classroom discussion, analysis or even for assessment purposes. Instructors teaching this subject will be able to use the book as a stand alone reference or as an ideal supplement for many introductory texts in entrepreneurship.


Global Entrepreneurship and Development Index 2018

Global Entrepreneurship and Development Index 2018
Author: Zoltán J. Ács
Publisher: Springer
Total Pages: 91
Release: 2018-11-27
Genre: Business & Economics
ISBN: 3030032795

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This brief presents a detailed look at the entrepreneurial ecosystem of nations around the world by combining individual data with institutional components. Presenting data from the 2018 Global Entrepreneurship and Development Index (GEDI), which measures the quality and scale of entrepreneurial process from 137 countries world-wide, this book provides a rich understanding of entrepreneurship and a more precise means to measure it. The novelty of the GEDI 2018 edition is the examination of the connection between the GEDI score and the computed total factor productivity (TFP) values. The Global Entrepreneurship and Development Index is an annual index (composite indicator) that measures the health of the entrepreneurship ecosystems in a given country. The authors have identified 14 components (or pillars) that are important for the health of entrepreneurial ecosystems, identified data to capture each , and used this data to calculate three levels of scores for a given country: the overall GEDI score, scores for Individuals and Institutions, and pillar level scores (which measure the quality of each of the 14 components).


Big Data Analytics for Entrepreneurial Success

Big Data Analytics for Entrepreneurial Success
Author: Sedkaoui, Soraya
Publisher: IGI Global
Total Pages: 300
Release: 2018-11-09
Genre: Business & Economics
ISBN: 152257610X

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In a resolutely practical and data-driven project universe, the digital age changed the way data is collected, stored, analyzed, visualized and protected, transforming business opportunities and strategies. It is important for today’s organizations and entrepreneurs to implement a robust data strategy and industrialize a set of “data-driven” solutions to utilize big data analytics to its fullest potential. Big Data Analytics for Entrepreneurial Success provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques within business applications. Featuring coverage on a broad range of topics such as algorithms, data collection, and machine learning, this publication provides concrete examples and case studies of successful uses of data-driven projects as well as the challenges and opportunities of generating value from data using analytics. It is ideally designed for entrepreneurs, researchers, business owners, managers, graduate students, academicians, software developers, and IT professionals seeking current research on the essential tools and technologies for organizing, analyzing, and benefiting from big data.


Encyclopedia of Business Analytics and Optimization

Encyclopedia of Business Analytics and Optimization
Author: Wang, John
Publisher: IGI Global
Total Pages: 2862
Release: 2014-02-28
Genre: Business & Economics
ISBN: 1466652039

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As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.


Essentials of Business Analytics

Essentials of Business Analytics
Author: Bhimasankaram Pochiraju
Publisher: Springer
Total Pages: 971
Release: 2019-07-10
Genre: Business & Economics
ISBN: 3319688375

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This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.


Entrepreneurship in the United States

Entrepreneurship in the United States
Author: Paul D. Reynolds
Publisher: Springer Science & Business Media
Total Pages: 236
Release: 2007-09-30
Genre: Business & Economics
ISBN: 0387456716

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This important book enhances understanding of entrepreneurial dynamics, providing the first analysis of changes in US entrepreneurial activity. Based on the unprecedented Panel Study of Entrepreneurial Dynamics, it examines adult participation in new firm creation and differences in regional firm creation activity. Shedding light on the importance of new firms for job growth, productivity enhancements, innovation, and routes for social mobility, the author tracks the success or failure of entrepreneurs, including comparisons of different groups, such as women and minorities, as well as across countries.