| Autor: |
Srinivas, Shreya, Gill, Asif Qumer, Roach, Terry |
| Zdroj: |
IT Professional Magazine; 2021, Vol. 23 Issue: 2 p81-88, 8p |
| Abstrakt: |
Businesses find the need to adapt to changes in the dynamic and competitive environment. However, they are confronted by static business architecture (BA) modeling and artefacts, which are less likely to adapt and, thus, quickly become obsolete. This article proposes a dynamic analytics-enabled adaptive BA modeling framework to address this concern. This research is performed using an action design research (ADR) method in collaboration with an Australian organization. The proposed approach has been implemented and evaluated using a banking organization as a case study. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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