Digital Mosaic Pollution (DMP) arises when bits of information originally gathered for other purposes escape their original boundaries. The metaphor of a mosaic implies that bits of information, each not valuable by itself, when pieced together can create a clear, or distorted, picture of a...

This paper delves into the potential impacts of the recently published Network and Information Security Directive 2 (NIS2) and Digital Operational Resilience Act (DORA) on EU cybersecurity resilience and cloud adoption. Employing a mixed method of descriptive literature review, narrative review,...

Purpose - This study tries to explain the customer adoption of smartwatches by considering the perceived benefits and perceived costs. Through this study, the authors aim to determine the factors affecting behavioural intentions towards smartwatches. Design/methodology/approach - The authors...

The rapid development of new technologies, particularly Big Data and artificial intelligence, brings numerous advantages and benefits but also presents specific risks. Expanding technological capabilities to record, archive, and process vast amounts of data can lead to unethical uses, especially...

We examine the trade-off between functionality and data privacy inherent in many AI products by conducting a randomized survey experiment with 1,734 participants from the US and several European countries. Participants' willingness to adopt a hypothetical, AI-enhanced app is measured under three...

This study investigates the intersection of European Privacy Law (PL) and Collaborative Platforms (CP) in the context of mental health, examining their global impact on psychiatric care and the facilitation of work reintegration for individuals with mental health conditions. The research...

The emergence of mobile applications (apps) that utilize sharing economy concepts has revolutionized multiple industries, including transportation, accommodation, healthcare, and other sectors. With the nature of massive data collection and sharing policies, these platforms create serious...

We examine the trade-off between functionality and data privacy inherent in many AI products by conducting a randomized survey experiment with 1,734 participants from the US and several European countries. Participants' willingness to adopt a hypothetical, AI-enhanced app is measured under three...

Privacy regulations like the General Data Protection Regulation aim to empower consumers with greater transparency and control over their personal data. In response, firms may exercise price discrimination in the form of versioning. This paper studies how these two aspects of privacy regulation...

Digital analytics literature has received increasing research attention regarding website cookies owing to the implementation of the General Data Protection Regulation (GDPR) and its role in online privacy decisions and data collection. However, there is still a gap in the literature about...

As regulators seek to balance user privacy with publisher sustainability, Google's Privacy Sandbox offers a potential replacement for third-party cookies. This paper presents the first independent estimates of the publisher-side economic effects of Privacy Sandbox, a suite of privacy-enhancing...

Ensuring that users and society-at-large derive the maximum benefit from digital technology requires active and open participation in the digital economy. However, such participation is not without risks and users may withhold or withdraw their active participation in response to such factors....

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 offers a business perspective on the EU data governance framework, particularly related to data sharing in the financial sector. With policy-making ('on the books') centred on guaranteeing data privacy and data security whilst promoting innovation, firms face complexities when...

Purpose: This study was conceptualised to investigate the relationships of invasiveness, privacy concerns, perceived usefulness and the adoption of mobile marketing technology by millennial banking customers in an emerging market economy. Design/methodology/approach: This was a quantitative...

Recommendation agents (RAs) have proven to be effective decision-making tools for customers, as they can boost trust and loyalty when customers shop online. They can analyse large amounts of data using machine learning algorithms and predictive analytics capabilities to provide highly relevant...

The rapid development of artificial intelligence (AI) has significantly transformed digital marketing enhancing its effectiveness and raising new ethical and privacy concerns. This study investigates the ethical implications of AI-based digital marketing, particularly focusing on user privacy....

This document examines legal, institutional, and practical mechanisms to strengthen equality and non-discrimination within the European Union. It emphasizes the importance of data on discrimination and equality, focusing on their collection, application, and impact across social and economic...