System of systems engineering governance framework for digital transformation: A case study of an Australian large government agency
Papavasiliou, Samantha, Gorod, Alex, and Reaiche, Carmen (2024) System of systems engineering governance framework for digital transformation: A case study of an Australian large government agency. Systems Engineering, 27 (2). pp. 267-283.
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Abstract
Current swift technological advances are significantly impacting how organizations operate and services are provided. Even with the multiple benefits for organizations that undergo digital transformation, the majority of transformation initiatives fail due to the challenges that arise. A primary reason for these failures links back to the lack of effective governance framework to support effective digital transformation efforts. This paper proposes such a framework through a system of systems engineering approach to understand the various constituent systems involved in digital transformation efforts and their interactive and emergent behaviors. The application and usefulness of the framework were demonstrated as part of a digital transformation initiative in an Australian Large Government Agency and documented as a case study.
| Item ID: | 80533 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 1520-6858 |
| Keywords: | digital transformation, governance framework, holistic, system of systems engineering |
| Copyright Information: | © 2023 The Authors. Systems Engineering published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution-Non Commercial-No Derivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
| Date Deposited: | 26 Sep 2023 02:26 |
| FoR Codes: | 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3503 Business systems in context > 350301 Business analytics @ 100% |
| SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280115 Expanding knowledge in the information and computing sciences @ 100% |
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