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Applied Research for Growth, Innovation
and Sustainable Impact

Applied Research for Growth, Innovation and Sustainable Impact

Women in Industry 4.0

In an increasingly interconnected world, the movement of people across borders has become a common and dynamic part of our global society. This book explores the lives of women expatriates in America, particularly in the technology and innovation industry. It highlights their resilience, adaptability, and pursuit of dreams in unfamiliar lands, while also exploring themes of identity, belonging, and cultural negotiation.Women in the Technology and Innovation Ecosystem: From Movers to Makers in America explores the transformative journey of women relocating to America, focusing on entrepreneurship, leadership, research, education, technology, and innovation. It provides valuable data and case studies, enhancing policies and hiring programs for women entrepreneurs and offering strategies for cultural adaptation and integration in foreign business environments.With the increasing number of women expatriates in America, who are making significant economic and financial contributions, this book serves as a valuable resource for aspiring female expatriates looking to succeed as professionals and entrepreneurs in the United States.

From Movers to Makers in America

Women in the Technology and Innovation Ecosystem

Have you ever been told that cutting your spending is the key to financial freedom? Or that only a fool would try to make money by picking stocks? Or that buying your home is always a smart investment? Most of us have heard these truisms from friends, from family, even from financial experts. They are held up as nuggets of timeless wisdom. There's just one problem: none of them is true. Over the last decade, the world of money has transformed - but mainstream financial advice hasn't caught up. We're being fed money advice that will only take us further from our financial goals. Here, a leading investor debunks seven of the most common misconceptions about money, and explains why the true path to wealth is dramatically different from what you've been told. Confounding and eminently practical, Seven Myths About Money sketches out a radically new route to financial freedom - one fit for the twenty-first century.

Siete Mitos Sobre El Dinero

A novel framework for how entrepreneurs can use Bayesian reasoning to make decisions. This edited volume introduces and explores the concept of Bayesian entrepreneurship, a novel framework for understanding entrepreneurial decision-making under uncertainty. It brings together contributions from leading scholars to examine how entrepreneurs form beliefs about opportunities, learn through experimentation, and make strategic decisions. The Bayesian approach emphasizes the critical interaction between an entrepreneur’s prior beliefs and their capacity for learning and experimentation to update those beliefs. This dynamic process allows entrepreneurs to formulate and test theories about value creation and capture, attract resources and capabilities, and implement effective entrepreneurial strategies. The volume is organized around four key themes: <ul><li>the foundations and distinguishing features of Bayesian entrepreneurship </li><li>how entrepreneurs form and update prior beliefs in entrepreneurial decision-making</li><li>the role of experimentation and learning in entrepreneurial strategy</li><li>applications to entrepreneurship education and practice</li></ul> Bayesian Entrepreneurship offers both theoretical contributions advancing our understanding of entrepreneurial decision-making and practical insights for entrepreneurs and educators.

A novel framework for how entrepreneurs can use Bayesian reasoning to make decisions. This edited volume introduces and explores the concept of Bayesian entrepreneurship, a novel framework for understanding entrepreneurial decision-making under uncertainty. It brings together contributions from leading scholars to examine how entrepreneurs form beliefs about opportunities, learn through experimentation, and make strategic decisions. The Bayesian approach emphasizes the critical interaction between an entrepreneur’s prior beliefs and their capacity for learning and experimentation to update those beliefs. This dynamic process allows entrepreneurs to formulate and test theories about value creation and capture, attract resources and capabilities, and implement effective entrepreneurial strategies. The volume is organized around four key themes: <ul><li>the foundations and distinguishing features of Bayesian entrepreneurship </li><li>how entrepreneurs form and update prior beliefs in entrepreneurial decision-making</li><li>the role of experimentation and learning in entrepreneurial strategy</li><li>applications to entrepreneurship education and practice</li></ul> Bayesian Entrepreneurship offers both theoretical contributions advancing our understanding of entrepreneurial decision-making and practical insights for entrepreneurs and educators.

Bayesian Entrepreneurship

Elevating Organizational Performance

Project Management Maturity

Foundations of Finance

This book presents an up-to-date account of contemporary themes and topics in finance. It explores the world of finance from a fast-changing and developing finance perspective.Lucid, accessible, yet comprehensive, the volume discusses:<ul> <li>Financial system with its constituents and instruments;</li> <li>Recent trends and approaches in value-added and strategic management;</li> <li>Current laws and legislations in the domain of taxation - direct and indirect;</li> <li>Emerging concepts and practices of digital finance, known as 'fintech'.</li> </ul>Presenting current global trends and real-world cases in finance and richly illustrated with tables, figures and learning tools, this volume will be indispensable for individuals, business managers and management students pursuing courses related to contemporary finance and financial management. It will also be an important resource for executive and management development programmes (EDPs &amp; MDPs) as well as professionals, corporates, entrepreneurs, government officials, academicians and researchers.

Contemporary Finance

Chapman & Hall/CRC Monographs on Statistics and Applied Probability

A Generalized Linear Models Approach

Count Time Series

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;

Artificial Security and the Politics of Hype in the EU

Fraud Risk Management

Routledge International Studies in Money and Banking

Strategic Risk Management and Sustainable Banking

In today's data-driven business world, organizations struggle to extract actionable insights from vast amounts of information. This textbook bridges theory and practice, offering structured approaches to leverage data for enhanced decision-making through machine learning, AI, and optimization modeling-transforming raw data into competitive business intelligence.Decision Making and Analytics: Data-Driven Business Intelligence and Optimization features advanced analytical methodologies paired with real-world implementation studies, creating a progressive learning path from customer behavior analysis through hybrid decision models. By integrating fuzzy logic, neural networks, text mining, and reinforcement learning, it provides a comprehensive toolkit applicable across business scenarios, turning abstract concepts into practical solutions.Serving multiple audiences, this resource bridges the gap between classroom theory and industry practice for students in industrial engineering, business analytics, and management information systems. Practitioners gain applicable methodologies to improve organizational decision-making. At the same time, researchers benefit from cutting-edge approaches across various domains, and policymakers can develop data-informed strategies-addressing the growing demand for professionals who translate data into strategic decisions.The textbook employs open-ended questions that develop analytical reasoning skills without predetermined solutions, better preparing students for real-world complexity. Supporting materials include high-quality figure slides, as well as PowerPoint slides, for qualified adopters, enabling engaging learning environments that effectively communicate complex concepts while building practical, data-driven decision-making skills.

Data-Driven Business Intelligence and Optimization

Decision-Making and Analytics

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Dig deep to discover the truth about numbers and statistics in the media Wrong Number: How to Extract Truth From a Blizzard of Quantitative Disinformation shows readers how to diagnose statistical errors in journal articles and media accounts of prominent public issues. In addition to the mistakes or tricks with numbers other people use to lose the truth, this book also offers more positive material, showing how to use numbers to find truth. Written by Aaron Brown, prominent media figure, former professor, sports bettor, and poker player, and host of the popular ReasonTV series Wrong Number, this book answers questions including: <ul> <li>Did California's minimum wage hike really create more jobs?</li> <li>Do studies show that weed causes strokes and heart attacks?</li> <li>Are poor geniuses being shut out of science?</li> <li>What is the real health risk of vaping?</li> <li>Does gun control work?</li> </ul> Wrong Number: How to Extract Truth From a Blizzard of Quantitative Disinformation is an entertaining and eye-opening read for students in quantitative programs of study, along with all individuals curious as to whether or not they're being told the truth from their favorite media organizations.

How to Extract Truth From a Blizzard of Quantitative Disinformation

Wrong Number

Applied Research for Growth, Innovation and Sustainable Impact

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