Improving IT Governance, Security and Privacy Using Fractal Enterprise Modeling: A Case of a Highly Regulated Company
Number of Authors: 22023 (English)In: Perspectives in Business Informatics Research: 22nd International Conference on Business Informatics Research, BIR 2023, Ascoli Piceno, Italy, September 13–15, 2023, Proceedings / [ed] Knut Hinkelmann; Francisco J. López-Pellicer; Andrea Polini, Springer Nature , 2023, p. 199-213Conference paper, Published paper (Refereed)
Abstract [en]
The article presents a practical case of using a modelling technique called Fractal Enterprise Modelling (FEM) to improve a highly regulated financial sector company in the EU. The company had the practical goals of achieving compliance and improving operations in three closely related areas - IT governance, information security management, and privacy management. The project also had an unusual constraint, as it was not possible to use visual models for communication in the project. We decided to use design science principles to investigate whether FEM could be useful within this scenario and its limitations.
It turned out that the conceptual structure of FEM fits quite well with the concepts of the three areas, and it was possible to use FEM despite the constraint on its usage. This led to the invention of a new analysis approach to go around the restriction. It included translating patterns defined with FEM into mind maps that were used for conducting interviews. FEM enabled the analyst to systematically, flexibly and quickly explore and understand the company and its state in the three areas. The paper aims to provide practically useful insights to practitioners that want to drive innovation, improve security or achieve compliance.
Place, publisher, year, edition, pages
Springer Nature , 2023. p. 199-213
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 493
Keywords [en]
Model evaluation, IT governance, Security management, Privacy management, GDPR, Compliance handling, Fractal enterprise model
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-224974DOI: 10.1007/978-3-031-43126-5_15Scopus ID: 2-s2.0-85172154213ISBN: 978-3-031-43125-8 (electronic)OAI: oai:DiVA.org:su-224974DiVA, id: diva2:1823853
Conference
BIR 2023, 22nd International Conference on Business Informatics Research, BIR 2023, Ascoli Piceno, Italy, September 13–15, 2023.
2024-01-032024-01-032024-01-08Bibliographically approved