Assets under Tokenization: Can Blockchain Technology Improve Post-Trade Processing?

Research output: Contribution to conferencePaperResearchpeer-review

Recent years have seen rapid growth in exceptional IS scholarship addressing the efficacy and utility of blockchain technology in trade-processing and financial services. Numerous prominent IS scholars encourage applied research into the ostensible synergies between the nascent technology and its various use cases. Yet the vast majority of the published literature approaches the issue from a purely contemplative or theoretical perspective. Addressing this gap in the IS literature, we apply the design science research methodology in the construction a software artefact for the abstract representation of physical assets in the form of blockchain tokens, a process colloquially referred to as tokenization. The artefact is the product of a cross-organizational development process involving a host organization and several external participants. We present the final iteration of the artefact, evaluating our results against the requirements collected through the design search process. This informs a rigorous evaluation of the conceptual limitations of blockchain-based software artefacts. We conclude that, provided the aforementioned requirements are adequately observed within the design search process, blockchain technology can indeed improve post-trade processing.
Original languageEnglish
Publication date6 Nov 2019
Publication statusPublished - 6 Nov 2019
EventInternational Conference on Information Systems (ICIS) 2019 - Munich, Germany
Duration: 15 Dec 201918 Dec 2019
https://icis2019.aisconferences.org

Conference

ConferenceInternational Conference on Information Systems (ICIS) 2019
CountryGermany
CityMunich
Period15/12/201918/12/2019
Internet address

Bibliographical note

O. Ross, J.R. Jensen, and T. Asheim, Assets under Tokenization: Can Blockchain Technology Improve Post-Trade Processing?. 2019. Fortieth International Conference on Information Systems. Munich 2019.

ID: 231760634