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Authors: Matthias Goeken and Leni Hirdes

Affiliation: University of Applied Sciences of Deutsche Bundesbank, Hachenburg, Germany

Keyword(s): Central Banking, Advanced Analytics, Systematic Review.

Abstract: This position paper presents methodological considerations and ideas as well as preliminary results of a research project. We argue that integrating design science (DS) and review research is useful for developing artifacts that serve, for example, to share knowledge within a domain. Our project aims to support knowledge sharing in central banking by means of systematic reviews. Such a consolidated body of knowledge can also be considered an artifact in the sense of DS research. We demonstrate how such a review can be conducted and what results it yields. Since it is not clear whether such an application of systematic reviews is relevant and feasible, problem definition and objectives of the project are discussed.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Goeken, M. and Hirdes, L. (2022). Advanced Analytics in Central Banks: Basic Assumptions and Preliminary Results of a Research Project. In Proceedings of the 19th International Conference on Smart Business Technologies - ICSBT; ISBN 978-989-758-587-6; ISSN 2184-772X, SciTePress, pages 137-143. DOI: 10.5220/0011306800003280

@conference{icsbt22,
author={Matthias Goeken and Leni Hirdes},
title={Advanced Analytics in Central Banks: Basic Assumptions and Preliminary Results of a Research Project},
booktitle={ Proceedings of the 19th International Conference on Smart Business Technologies - ICSBT},
year={2022},
pages={137-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011306800003280},
isbn={978-989-758-587-6},
issn={2184-772X},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Smart Business Technologies - ICSBT
TI - Advanced Analytics in Central Banks: Basic Assumptions and Preliminary Results of a Research Project
SN - 978-989-758-587-6
IS - 2184-772X
AU - Goeken, M.
AU - Hirdes, L.
PY - 2022
SP - 137
EP - 143
DO - 10.5220/0011306800003280
PB - SciTePress