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
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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
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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
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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.
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.
The Economics Of Data Analytics And Digital Transformation
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Author : Bill Schmarzo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-11-30
The Economics Of Data Analytics And Digital Transformation written by Bill Schmarzo and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Computers categories.
Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon." What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is for This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.
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.
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.
The Organisation Of Tomorrow
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Author : Mark Van Rijmenam
language : en
Publisher: Routledge
Release Date : 2019-07-19
The Organisation Of Tomorrow written by Mark Van Rijmenam and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-19 with Business & Economics categories.
The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions. It also asks us to consider the impacts of these emerging information technologies on people and society. Big data analytics empowers consumers and employees. This can result in an open strategy and a better understanding of the changing environment. Blockchain enables peer-to-peer collaboration and trustless interactions governed by cryptography and smart contracts. Meanwhile, artificial intelligence allows for new and different levels of intensity and involvement among human and artificial actors. With that, new modes of organising are emerging: where technology facilitates collaboration between stakeholders; and where human-to-human interactions are increasingly replaced with human-to-machine and even machine-to-machine interactions. This book offers dozens of examples of industry leaders such as Walmart, Telstra, Alibaba, Microsoft and T-Mobile, before presenting the D2 + A2 model – a new model to help organisations datafy their business, distribute their data, analyse it for insights and automate processes and customer touchpoints to be ready for the data-driven and exponentially-changing society that is upon us This book offers governments, professional services, manufacturing, finance, retail and other industries a clear approach for how to develop products and services that are ready for the twenty-first century. It is a must-read for every organisation that wants to remain competitive in our fast-changing world.
Data Centric Business And Applications
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Author : Dmytro Ageyev
language : en
Publisher: Springer Nature
Release Date : 2020-01-03
Data Centric Business And Applications written by Dmytro Ageyev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-03 with Computers categories.
Building on the authors’ previous work, this book addresses key processes and procedures used in information/data processing and management. Modern methods of business information processing, which draw on artificial intelligence, big data, and cloud-based storage and processing, are opening exciting new opportunities for doing business on the basis of information technologies. Thus, in this third book, the authors continue to explore various aspects – technological as well as business and social – of the information industries. Further, they analyze the challenges and opportunities entailed by these kinds of business.
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.