Defining Governance for Public-Private Networks: A Computational Logic-based Approach

12 Pages Posted: 7 Jun 2022

See all articles by Zsofia Kräussl

Zsofia Kräussl

Department of Finance, University of Luxembourg

Myriam Lapierre

Independent

Alexander Steen

University of Greifswald

Date Written: April 30, 2022

Abstract

We introduce a research agenda that is motivated by the problem of data governance in complex value chains. Our claim is that decentralized data management among networks of heterogeneous agents, such as financial institutions, corporates and regulators, can reduce potentials of information asymmetry, thus false reporting. Digital infrastructures can in theory support decentralized data management; however, their market diffusion is not easy. We opt for a logically sound, constructive approach to argue over feasible boundaries of digitalized, decentralized data management. We illustrate and motivate our research with an industry-strength case study.

Keywords: governance, artificial intelligence, knowledge representation and reasoning, blockchain, financial institutions

JEL Classification: D89, G39

Suggested Citation

Kräussl, Zsofia and Lapierre, Myriam and Steen, Alexander, Defining Governance for Public-Private Networks: A Computational Logic-based Approach (April 30, 2022). Available at SSRN: https://ssrn.com/abstract=4124230 or http://dx.doi.org/10.2139/ssrn.4124230

Zsofia Kräussl (Contact Author)

Department of Finance, University of Luxembourg ( email )

6, rue Richard Coudenhove-Kalergi
Luxembourg, L-1359
Luxembourg

Myriam Lapierre

Independent

Alexander Steen

University of Greifswald

Friedrich-Loeffler-Strasse 70
D-17487 Greifswald, 17489
Germany

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