DLT Compliance Reporting

Department of Computer Science

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

DLT Compliance Reporting. / Jensen, Johannes Rude; Axelsen, Henrik; Ross, Omri.

In: Complex Systems Informatics and Modeling Quarterly, Vol. 2023, No. 35, 195, 2023, p. 92-103.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Jensen, JR, Axelsen, H & Ross, O 2023, 'DLT Compliance Reporting', Complex Systems Informatics and Modeling Quarterly, vol. 2023, no. 35, 195, pp. 92-103. https://doi.org/10.7250/csimq.2023-35.04

APA

Jensen, J. R., Axelsen, H., & Ross, O. (2023). DLT Compliance Reporting. Complex Systems Informatics and Modeling Quarterly, 2023(35), 92-103. [195]. https://doi.org/10.7250/csimq.2023-35.04

Vancouver

Jensen JR, Axelsen H, Ross O. DLT Compliance Reporting. Complex Systems Informatics and Modeling Quarterly. 2023;2023(35):92-103. 195. https://doi.org/10.7250/csimq.2023-35.04

Author

Jensen, Johannes Rude ; Axelsen, Henrik ; Ross, Omri. / DLT Compliance Reporting. In: Complex Systems Informatics and Modeling Quarterly. 2023 ; Vol. 2023, No. 35. pp. 92-103.

Bibtex

@article{27b32f8a00944497833468fa0bc505a0,

title = "DLT Compliance Reporting",

abstract = "Today, local financial institutions are responsible for submitting compliance reporting data to the supervisory authorities. This is commonly referred to as the {\textquoteleft}push model{\textquoteright}. The increasing complexity of reporting obligations often results in delayed reporting which delivers a fragmented and incomplete macroeconomic overview of the financial sector. Working with a group of nine representatives from industry and regulatory authorities, we employ the design science research methodology (DSR) in the design of an artefact, enabling the automated collection and enrichment of transactional data from DLT ledgers. Our findings demonstrate how the adoption of DLT in the financial sector will facilitate the automation of compliance reporting through a {\textquoteleft}pull-model{\textquoteright}, in which regulators can access compliance data in near real-time and stage aggregate macroeconomic risk exposures for the eurozone. The findings contribute practical insights to the discourse on design-driven research on DLT and blockchain technology.",

keywords = "Automation, Blockchain, Compliance, DLT, Reporting",

author = "Jensen, {Johannes Rude} and Henrik Axelsen and Omri Ross",

note = "Publisher Copyright: {\textcopyright} 2023 Johannes Rude Jensen, Henrik Axelsen, and Omri Ross.",

year = "2023",

doi = "10.7250/csimq.2023-35.04",

language = "English",

volume = "2023",

pages = "92--103",

journal = "Complex Systems Informatics and Modeling Quarterly",

issn = "2255-9922",

publisher = "Riga Technical University",

number = "35",

}

RIS

TY - JOUR

T1 - DLT Compliance Reporting

AU - Jensen, Johannes Rude

AU - Axelsen, Henrik

AU - Ross, Omri

PY - 2023

Y1 - 2023

N2 - Today, local financial institutions are responsible for submitting compliance reporting data to the supervisory authorities. This is commonly referred to as the ‘push model’. The increasing complexity of reporting obligations often results in delayed reporting which delivers a fragmented and incomplete macroeconomic overview of the financial sector. Working with a group of nine representatives from industry and regulatory authorities, we employ the design science research methodology (DSR) in the design of an artefact, enabling the automated collection and enrichment of transactional data from DLT ledgers. Our findings demonstrate how the adoption of DLT in the financial sector will facilitate the automation of compliance reporting through a ‘pull-model’, in which regulators can access compliance data in near real-time and stage aggregate macroeconomic risk exposures for the eurozone. The findings contribute practical insights to the discourse on design-driven research on DLT and blockchain technology.

AB - Today, local financial institutions are responsible for submitting compliance reporting data to the supervisory authorities. This is commonly referred to as the ‘push model’. The increasing complexity of reporting obligations often results in delayed reporting which delivers a fragmented and incomplete macroeconomic overview of the financial sector. Working with a group of nine representatives from industry and regulatory authorities, we employ the design science research methodology (DSR) in the design of an artefact, enabling the automated collection and enrichment of transactional data from DLT ledgers. Our findings demonstrate how the adoption of DLT in the financial sector will facilitate the automation of compliance reporting through a ‘pull-model’, in which regulators can access compliance data in near real-time and stage aggregate macroeconomic risk exposures for the eurozone. The findings contribute practical insights to the discourse on design-driven research on DLT and blockchain technology.

KW - Automation

KW - Blockchain

KW - Compliance

KW - DLT

KW - Reporting

UR - http://www.scopus.com/inward/record.url?scp=85168015562&partnerID=8YFLogxK

U2 - 10.7250/csimq.2023-35.04

DO - 10.7250/csimq.2023-35.04

M3 - Journal article

AN - SCOPUS:85168015562

VL - 2023

SP - 92

EP - 103

JO - Complex Systems Informatics and Modeling Quarterly

JF - Complex Systems Informatics and Modeling Quarterly

SN - 2255-9922

IS - 35

M1 - 195

ER -

ID: 364500526