We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...

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...

This paper enlightens an understudied aspect of the application of the General Data Protection Regulation (GDPR) Right to Data Portability (RtDP), introducing a framework to analyse empirically the voluntary data portability standards adopted by various data controllers. The first section...

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...

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...

"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...

"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,...

"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....

Article 20 of the General Data Protection Regulation (GDPR) gave consumers in the European Union the right to port their personal data between digital service providers. We critically assess the economic implications of this new right in the light of the extant economic literature and with a...

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...

"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...

"Digital transform is hard. It is tempting to point to the "usual suspects" as the reasons for these shortfalls: cumbersome IT estates, poor data, lack of talent, among others. These issues are real, but they also tend to mask more fundamental issues that are the real culprits behind stalled...

"Quality data is the key for business enterprises to offer improved performance in operations, compliance, and decision making. According to McKinsey, data driven organizations provide EBITDA increases between 15 to 25% than peers. However, to be a data driven organization, data quality is very...

Den Controllerinnen und Controllern stehen immer mehr interne und externe Daten zur Verfügung, die gemanagt und genutzt werden wollen. Ein modernes, datengetriebenes Controlling weiß, wie diese Ressourcen genutzt und effektiv zur Entscheidungsunterstützung aufbereitet werden. Dieses Buch...

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...

"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...

Das vorliegende Arbeitspapier beschreibt die verwendete Datengrundlage und erste empirische Ergebnisse zur Untersuchung des Einflusses eines Daten-Netzwerkbetriebs auf den Kooperationserfolg von Verbundgruppen. Eine detaillierte Dokumentation über Form und Ablauf der zugrundeliegenden...

Ziel dieser Handreichung ist es, grundsätzliche Einstiegsfragen zum Thema Öffnen und Teilen von qualitativen Forschungsdaten zu beantworten. Dabei verstehen wir unter Öffnen und Teilen die Zugänglichmachung zur Sekundärnutzung für andere Forschende. In dieser Handreichung werden wir auf...

The GDPR is the Magna Carta of data protection, the importance of which cannot be overstated. Yet, as this article shows, the price of data protection through the GDPR is much higher than previously recognized. The GDPR creates two main harmful effects on competition and innovation: it limits...

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for...

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for...

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for...

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for...

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for...

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for...

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for...

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for...

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for...

Data is an important business resource. It forms the basis for various digital technologies such as artificial intelligence or smart services. However, access to data is unequally distributed in the market. Hence, some business ideas fail due to a lack of data sources. Although many governments...

Ziel dieser Handreichung ist es, grundsätzliche Einstiegsfragen zum Thema Öffnen und Teilen von qualitativen Forschungsdaten zu beantworten. Dabei verstehen wir unter Öffnen und Teilen die Zugänglichmachung zur Sekundärnutzung für andere Forschende. In dieser Handreichung werden wir auf...