Cross-border data flows are the lifeblood of today’s social and economic interactions, but they also raise a range of new challenges, including for privacy and data protection, national security, cybersecurity, digital protectionism and regulatory reach. This has led to a surge in regulation...

The goal of this study is to assess the economic and environmental impact of edge computing on IoT at the global scale. This study focuses on "Professional IoT", which corresponds to the industrial strengths and opportunities for the EU: Automotive electronics, factory automation (including...

The metaverse as it is currently envisioned – a persistent and immersive world based on virtual and augmented reality – is an immense business opportunity across all major sectors and industries and will further increase the volume and variety of available data. Those unlimited data streams...

This book offers a thorough exploration of how technologies such as Artificial Intelligence (AI), Blockchain, Cloud Computing, and Data Analytics are impacting businesses. It also presents the real-world applications and scenarios where these technologies are driving significant changes. The...

"Tools from macroeconomics and finance to incorporate the central role that data plays in the economy. The most valuable firms in the global economy are valued largely for their data. Amazon, Apple, Google, and others have proven the competitive advantage of a good data set. And yet despite the...

"Businesses typically encounter problems first and then seek out analytical methods to help in decision making. Business Analytics: Solving Business Problems with R by Arul Mishra and Himanshu Mishra offers practical, data-driven solutions for today's dynamic business environment. This text...

On February 23, 2022, the European Commission presented a proposal for the Data Act. This regulation is intended to regulate access to and use of data in the European Union in the future. It includes requirements for data transfer to users of products and services that produce data, to...

In May 2021, the UK National Health Service (NHS) proposed a scheme-called General Practice Data for Planning Research (GPDPR)-for sharing patients' data. Under that system, a patient who does not wish to participate must actively opt out of their data being shared with third parties for...

Im Zuge der fortschreitenden Digitalisierung steigt die Menge an Daten, die u. a. durch Maschinen, Sensoren oder Webseiten entstehen und systematisch gespeichert werden können, rasant an. Damit steigt auch das unternehmerische Potenzial, Daten gewinnbringend für die Entwicklung neuer oder die...

"Systems Engineering is a natural tool for business decisions. But no one uses it. This is because it's rare for someone with both sets of degrees and experience (business and systems engineering) to become successful without having an MBA, until Joshua Jahani. Business owners and educators need...

Discover how to develop and implement an HR analytics system that benefits employees, as well as your organization The potential of HR analytics is a major discussion among scholars, practitioners, thought leaders, and technology vendors, with companies like Amazon, Apple, Google, and Meta...

"Why did we write this book? We wanted to help financial experts and investors to understand the state-of-the-art of artificial intelligence and machine learning in finance. And so, what is artificial intelligence? The foundations of artificial intelligence lie in the human desire to automate....

"Marketers are storytellers, they write content, marketing strategies and devise internal communications, but unless these stories are evidence-based, they won't be believable or truly persuasive. Stories centred on robust evidence and credible data can withstand challenge, provide meaning,...

This study evaluates the geomorphometric parameters of the topography in Ethiopia using scripting cartographic methods by applying R languages (packages 'tmap' and 'raster') and Generic Mapping Tools (GMT) for 2D and 3D topographic modelling. Data were collected from the open source repositories...

The recent digitization of complete count census data is an extraordinary opportunity for social scientists to create large longitudinal datasets by linking individuals from one census to another or from other sources to the census. We evaluate different automated methods for record linkage,...

Using a large longitudinal, nationally representative workplace-level dataset, we explore the productivity gains associated with computer use and organizational redesign. The empirical strategy involves the estimation of a production function, augmented to account for technology use and...

In modern times, smart cities are using advanced technology to control and coordinate business, physical, social and commercial systems to deliver quality services to their residents while ensuring the efficient use of available resources. Many large corporations, as well as government agencies,...

Artificial intelligence (AI) technologies are transforming economies, societies, and geopolitics. Enabled by the exponential increase of data that is collected, transmitted, and processed transnationally, these changes have important implications for international economic law (IEL). This volume...

The last 40 years have seen huge innovations in computing technology and data availability. Data derived from millions of administrative records or by using (as we do) new methods of data generation such as text mining are now common. New data often requires new methods, which in turn can...

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some...

This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures,...

This paper discusses the troubled relationship between contemporary advertising technology (adtech) systems, in particular systems of real-time bidding (RTB, also known as programmatic advertising) underpinning much behavioural targeting on the web and through mobile applications. This paper...

Cover -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- Preface -- Prologue: The Certainty Myth -- Quantitative Intuition (QI)™ -- Why Quantitative Intuition™ -- Biases from Working Intuitively -- Biases from Working with Data -- Notes -- Chapter 1 Asking Powerful Questions...

"Today's leaders must make critical decisions under greater complexity than ever before. While technology has made our lives easier, leaders need to manage the waves of ever-increasing information and ever-decreasing time to analyze data thoughtfully. They fear casting a decision that's not...

Wie lassen sich unternehmerische Datenkooperationen, darunter Datenpools, so ausgestalten, dass sie datenbasiertem Wettbewerb dienen, ohne ihrerseits neue Wettbewerbsgefahren hervorzurufen? Die Arbeit untersucht dies interdisziplinär - ausgehend von einer rechtstatsächlichen und...