Heterogeneous search costs enable price discrimination, which I study in the canonical Wolinsky (1986) sequential search setting. Firms observe a public signal of a consumer's search cost before posting a personalized price. The welfare effects of search-cost-based price discrimination depend on...

Platformisation and the growing adoption of AI-driven systems have intensified pervasive data extraction and appropriation that bring distinct harms for both individuals and societies at large. Yet, little is known about how distinct harm perceptions shape citizens' preferences for different...

The American Privacy Rights Act gives Americans fundamental, enforceable data privacy rights, puts people in control of their own data and eliminatesthe patchwork of state laws, heißt es in einer Pressemitteilung des Ausschusses für Energie und Handel der Vereinigten Staaten von Amerika im...

The introduction of the EU's General Data Protection Regulation (GDPR) in 2018 created conditions that could raise the cost of trading services with the EU, especially where cross-border transfers of personal data are required. This paper examines whether the GDPR has truly affected trade in...

Over recent decades, comprehensive data protection legislation has proliferated worldwide, with a majority of jurisdictions enacting robust statutory regimes. Despite this abundance of legal standards, persistent challenges remain regarding the efficacy of these laws in protecting...

Die Studie untersucht, wie aktuelle und ehemalige Patienten den potenziellen Einsatz von Künstlicher Intelligenz (KI) in der Physiotherapie bewerten und welche Faktoren diese Einschätzung beeinflussen. Grundlage war eine quantitative Online-Befragung mit 269 Teilnehmenden; Personen ohne...

In 2022, the Belgian Data Protection Authority (DPA) issued a fine against IAB Europe. It held this industry association for online advertising liable for multiple violations of the General Data Protection Regulation (GDPR) in relation to the Transparency and Control Framework (TCF). This...

We study how privacy regulations impact information transmission. A receiver faces a decision whose payoff depends on an unknown state. A platform sends a message to her given a sensitive and a nonsensitive signal. Privacy loss occurs when the receiver updates about the former. When privacy is...

The introduction of the EU's General Data Protection Regulation (GDPR) in 2018 created conditions that could raise the cost of trading services with the EU, especially where cross-border transfers of personal data are required. This paper examines whether the GDPR has truly affected trade in...

This study investigates how neuromarketing practices intersect with consumer privacy regulation in California, with particular attention to the 2024 Senate Bill 1223 (SB 1223), which amends the CCPA/CPRA to explicitly define "neural data." By examining corporate strategies and regulatory...

As firms increasingly rely on user-generated data (UGD) to drive decision-making, questions of digital responsibility have become central to contemporary data governance. This article develops a governance model for UGD that integrates the ecosystem view with three complementary...

In digital markets, personal data is increasingly monetized. As a result, the areas of competition and data protection law collide and the competences of enforcers of these fields of law (i.e. competition and data protection authorities) also overlap. These overlapping competences are not...

The exponential growth of e-commerce and advancements in financial technology have escalated credit card fraud into a major threat, resulting in billions of dollars in global losses annually. This necessitates the development of sophisticated fraud detection systems capable of real-time anomaly...

The study investigates the adoption of Generative AI (GenAI) as a complex socio-technical phenomenon within Thailand's emerging open learning innovation ecosystem. By synthesizing the Theory of Planned Behavior (TPB) and Technology Acceptance Model 2 (TAM2) and extending them with constructs of...

Advances in data collection enable firms to use consumer information for personalized pricing. In Clavor'a Braulin's (2023) symmetric two-dimensional model, this reduces prices and profits, while partial privacy yields the highest profits. Extending the model to asymmetric firms and vertically...

In this paper, we describe an attempt made to develop an efficient disclosure control algorithm for microdata in a statistical portal used for releasing detailed statistical information at various levels of spatial aggregation. The proposed algorithm is based on perturbative methods, such as...

Artificial intelligence (AI) is increasingly used in marketing to deliver personalized messages and services. Although such tools create new opportunities, their acceptance by consumers depends on several factors that go beyond technology itself. This study examines how trust and ethical...

Datenräume können die datenbasierte Wertschöpfung vorantreiben, wenn ökonomische, technische und regulatorische Rahmenbedingungen aufeinander abgestimmt sind. Ihr Erfolg hängt nicht allein von der technischen Infrastruktur ab, sondern von der Verknüpfung ökonomischer Anreize, rechtlicher...

The identifiability of users as they interact in the digital world is fundamentally linked to privacy and security issues. Identifiability can be divided into two: subjective identifiability, which is based on psychological perceptions (i.e., mental space), and objective identifiability, which...

Die Studie untersucht, wie aktuelle und ehemalige Patienten den potenziellen Einsatz von Künstlicher Intelligenz (KI) in der Physiotherapie bewerten und welche Faktoren diese Einschätzung beeinflussen. Grundlage war eine quantitative Online-Befragung mit 269 Teilnehmenden; Personen ohne...

Over recent decades, comprehensive data protection legislation has proliferated worldwide, with a majority of jurisdictions enacting robust statutory regimes. Despite this abundance of legal standards, persistent challenges remain regarding the efficacy of these laws in protecting...

Generative artificial intelligence (GenAI) refers to machines that can create new ideas and generate outputs similar to human cognition. This technology has ushered in a new era, offering remarkable learning capabilities and producing unique results. In this paper, we explore the role of GenAI...

This paper examines the evolving landscape of digital privacy, decentralization and digital assets in the twenty-first century. It explores the transformative impact of those technologies - driven by the exponential growth of semiconductors - in the past decades on the widespread adoption of...

The use of automated facial recognition in retail offers a wide range of potential for increasing efficiency, improving service quality and optimising customer targeting. This article, based on an empirical survey of 101 participants, examines factors that determine the acceptance and use of...

This briefing summarises the evaluation of hundreds of data deliveries received from reporting countries for 13 Eionet core data flows. It shows progress against agreed reporting criteria, allowing countries to identify and prioritise the resources they need for regular reporting procedures.