Big Data Artificial Intelligence And The Geography Of Entrepreneurship In The United States


Big Data Artificial Intelligence And The Geography Of Entrepreneurship In The United States
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Big Data Artificial Intelligence And The Geography Of Entrepreneurship In The United States


Big Data Artificial Intelligence And The Geography Of Entrepreneurship In The United States
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Author : Martin Obschonka
language : en
Publisher:
Release Date : 2018

Big Data Artificial Intelligence And The Geography Of Entrepreneurship In The United States written by Martin Obschonka and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Artificial intelligence categories.


There is increasing interest in the potential of artificial intelligence and Big Data (e.g., generated via social media) to help understand economic outcomes and processes. But can artificial intelligence models, solely based on publicly available Big Data (e.g., language patterns left on social media), reliably identify geographical differences in entrepreneurial personality/culture that are associated with entrepreneurial activity? Using a machine learning model processing 1.5 billion tweets by 5.25 million users, we estimate the Big Five personality traits and an entrepreneurial personality profile for 1,772 U.S. counties. We find that these Twitter-based personality estimates show substantial relationships to county-level entrepreneurship activity, accounting for 24% (entrepreneurial personality profile) and 32% (all Big Five trait as separate predictors in one model) of the variance in local entrepreneurship and are robust to the introduction in the model of conventional economic factors that affect entrepreneurship. We conclude that artificial intelligence methods, analysing publically available social media data, are indeed able to detect entrepreneurial patterns, by measuring territorial differences in entrepreneurial personality/culture that are valid markers of actual entrepreneurial behaviour. More importantly, such social media datasets and artificial intelligence methods are able to deliver similar (or even better) results than studies based on millions of personality tests (selfreport studies). Our findings have a wide range of implications for research and practice concerned with entrepreneurial regions and eco-systems, and regional economic outcomes interacting with local culture.



Big Data Analytics For Entrepreneurial Success


Big Data Analytics For Entrepreneurial Success
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Author : Sedkaoui, Soraya
language : en
Publisher: IGI Global
Release Date : 2018-11-09

Big Data Analytics For Entrepreneurial Success written by Sedkaoui, Soraya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-09 with Business & Economics categories.


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.



Equity Home Bias In International Finance


Equity Home Bias In International Finance
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Author : Kavous Ardalan
language : en
Publisher: Routledge
Release Date : 2019-05-17

Equity Home Bias In International Finance written by Kavous Ardalan and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-17 with Business & Economics categories.


This book provides a comprehensive and critical analysis of research outcomes on the equity home bias puzzle – that people overinvest in domestic stocks relative to the theoretically optimal investment portfolio. It introduces place attachment – the bonding that occurs between individuals and their meaningful environments – as a new explanation for equity home bias, and presents a philosophically multi-paradigmatic view of place attachment. For the first time, a comprehensive and up-to-date review of the extant literature is provided, demonstrating that place attachment is a contributing factor to 22 different topics in which variations of home bias are present. The author also analyses the social-psychological underpinnings of place attachment, and considers the effect of multi-culturalism on the future of equity home bias. The book’s unique approach discusses the issues in conceptual terms rather than through data and statistical methods. This multi- and inter-disciplinary book is an invaluable resource for graduate students and researchers interested in economics, finance, philosophy, and/or methodology, introducing them to a new line of research.



Handbook Of Research On Applied Data Science And Artificial Intelligence In Business And Industry


Handbook Of Research On Applied Data Science And Artificial Intelligence In Business And Industry
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Author : Chkoniya, Valentina
language : en
Publisher: IGI Global
Release Date : 2021-06-25

Handbook Of Research On Applied Data Science And Artificial Intelligence In Business And Industry written by Chkoniya, Valentina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Computers categories.


The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.



Entrepreneurship Geography And American Economic Growth


Entrepreneurship Geography And American Economic Growth
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Author : Zoltan J. Acs
language : en
Publisher: Cambridge University Press
Release Date : 2006-06-19

Entrepreneurship Geography And American Economic Growth written by Zoltan J. Acs and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-19 with Business & Economics categories.


The spillovers in knowledge among largely college-educated workers were among the key reasons for the impressive degree of economic growth and spread of entrepreneurship in the United States during the 1990s. Prior 'industrial policies' in the 1970s and 1980s did not advance growth because these were based on outmoded large manufacturing models. Zoltan Acs and Catherine Armington use a knowledge spillover theory of entrepreneurship to explain new firm formation rates in regional economies during the 1990s period and beyond. The fastest-growing regions are those that have the highest rates of new firm formation, and which are not dominated by large businesses. The authors of this text also find support for the thesis that knowledge spillovers move across industries and are not confined within a single industry. As a result, they suggest, regional policies to encourage and sustain growth should focus on entrepreneurship among other factors.



The Economics Of Artificial Intelligence


The Economics Of Artificial Intelligence
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Author : Ajay Agrawal
language : en
Publisher: University of Chicago Press
Release Date : 2024-03-05

The Economics Of Artificial Intelligence written by Ajay Agrawal and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Business & Economics categories.


A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.



Cutting Edge Business Technologies In The Big Data Era


Cutting Edge Business Technologies In The Big Data Era
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Author : Saad G. Yaseen
language : en
Publisher: Springer Nature
Release Date :

Cutting Edge Business Technologies In The Big Data Era written by Saad G. Yaseen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Global Entrepreneurship Analytics


Global Entrepreneurship Analytics
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Author : Milenka Linneth Argote Cusi
language : en
Publisher: Routledge
Release Date : 2020-09-20

Global Entrepreneurship Analytics written by Milenka Linneth Argote Cusi and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-20 with Business & Economics categories.


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.



Big Data Data Mining And Machine Learning


Big Data Data Mining And Machine Learning
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Author : Jared Dean
language : en
Publisher: John Wiley & Sons
Release Date : 2014-05-07

Big Data Data Mining And Machine Learning written by Jared Dean and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-07 with Computers categories.


With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.



The Ai Factor


The Ai Factor
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Author : Asha Saxena
language : en
Publisher: Post Hill Press
Release Date : 2023-02-14

The Ai Factor written by Asha Saxena and has been published by Post Hill Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-14 with Business & Economics categories.


Take heart. AI is none of those things. It’s part of our everyday lives, and it has the power to transform your business. This book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses—including yours—by strategically using your data’s latent, transformative potential. Noted business leader, data consultant, and Columbia professor Asha Saxena has distilled her twenty-seven years of experience teaching Fortune 500 leaders in this powerful and insightful book. In The AI Factor, business leaders will learn how to understand the data they already have and how to use it innovatively to grow their businesses using Saxena’s unique methodology.