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Requirement-driven Taxonomy Development – A Classification of Blockchain Technologies for Securities Post-Trading

Notheisen, Benedikt; Willrich, Sven; Diez, M.; Weinhardt, Christof

Abstract:
In recent years, blockchain and distributed ledger technology (DLT) and its disruptive potential has been one of the most discussed topics in the field of information systems. Driven by the prospect of cost savings and efficiency gains, financial markets are at the core of these discussions. However, in the increasingly convoluted and constantly evolving market of technology providers and platforms, organizations struggle to find a solution that fulfills the specific requirements of their application scenario. To evaluate the suitability of different blockchain-based platforms for securities post-trading, we develop a new methodology to create a technology classification that takes the demands of a specific application context into account. The resulting requirement-based taxonomy sheds light on factors that impede the adoption of blockchain- and DLT-based post-trading, highlights future research challenges, and offers a valuable tool to induce communication between involved stakeholders.

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Verlagsausgabe §
DOI: 10.5445/IR/1000089177
Veröffentlicht am 07.01.2019
Zugehörige Institution(en) am KIT Forschungszentrum Informatik, Karlsruhe (FZI)
Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Jahr 2019
Sprache Englisch
Identifikator ISBN: 978-0-9981331-2-6
urn:nbn:de:swb:90-891777
KITopen-ID: 1000089177
Erschienen in Proceedings of the 52nd Hawaii International Conference on System Sciences | 2019
Veranstaltung 52nd Hawaii International Conference on System Sciences (HICSS 2019), Wailea, HI, USA, 08.01.2019 – 11.01.2019
Seiten 4615-4624
Schlagworte Distributed Ledger Technology, The Blockchain; Internet and the Digital Economy; Blockchain, Securities post-trading, Taxonomy development, Requirements analysis
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