Data marketplaces are expected to play a crucial role in tomorrow's data economy, but such
marketplaces are seldom commercially viable. Currently, there is no clear understanding of …

This study systematically reviews 200 articles published over the past three decades to
reveal how appropriability and appropriation have been explained and how those …

The paper highlights the importance of data sustainability in the data infrastructures aimed at
long-term knowledge discoveries. Data sustainability refers to data's capacity to endure …

Smart cities have emerged to cope with economic and environmental challenges posed by
modern-day complex city systems. This study hypothesized that overcoming such …

High model performance, on average, can hide that models may systematically
underperform on subgroups of the data. We consider the tabular setting, which surfaces the …

Firms are often reluctant to share data because of mistrust, concerns over control, and other
risks. Multi-party computation (MPC) is a new technique to compute meaningful insights …

In the increasingly interconnected business world, economic value is less and less created
by one company alone but rather through the combination and enrichment of data by …

In this paper, we offer an original framework to study Artificial Intelligence (AI). The
perspective we propose is based on the idea that AI is a system technology, and that a …

Policymakers and analysts are heavily promoting data marketplaces to foster data trading
between companies. Existing business model literature covers individually owned …

Markets in which similar goods of different qualities are sold suffer from information
asymmetries and their negative consequences. Dealers have established themselves, and …