Business data sharing through data marketplaces: A systematic literature review
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 …
marketplaces are seldom commercially viable. Currently, there is no clear understanding of …
[HTML][HTML] Distinguishing between appropriability and appropriation: A systematic review and a renewed conceptual framing
P Hurmelinna-Laukkanen, J Yang - Research Policy, 2022 - Elsevier
This study systematically reviews 200 articles published over the past three decades to
reveal how appropriability and appropriation have been explained and how those …
reveal how appropriability and appropriation have been explained and how those …
Data sustainability: Data governance in data infrastructures across technological and human generations
SL Jarvenpaa, A Essén - Information and Organization, 2023 - Elsevier
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 …
long-term knowledge discoveries. Data sustainability refers to data's capacity to endure …
Mapping synergies and trade-offs between smart city dimensions: A network analysis
T Vanli, T Akan - Cities, 2023 - Elsevier
Smart cities have emerged to cope with economic and environmental challenges posed by
modern-day complex city systems. This study hypothesized that overcoming such …
modern-day complex city systems. This study hypothesized that overcoming such …
Data-iq: Characterizing subgroups with heterogeneous outcomes in tabular data
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 …
underperform on subgroups of the data. We consider the tabular setting, which surfaces the …
It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing
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 …
risks. Multi-party computation (MPC) is a new technique to compute meaningful insights …
Artificial Intelligence's new clothes? A system technology perspective
S Vannuccini, E Prytkova - Journal of Information Technology, 2024 - journals.sagepub.com
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 …
perspective we propose is based on the idea that AI is a system technology, and that a …
Business model archetypes for data marketplaces in the automotive industry: Contrasting business models of data marketplaces with varying ownership and …
Policymakers and analysts are heavily promoting data marketplaces to foster data trading
between companies. Existing business model literature covers individually owned …
between companies. Existing business model literature covers individually owned …
Multi-party certification on blockchain and its impact in the market for lemons
Markets in which similar goods of different qualities are sold suffer from information
asymmetries and their negative consequences. Dealers have established themselves, and …
asymmetries and their negative consequences. Dealers have established themselves, and …