Shankaravelu, Karthickeshwar, Wu, Hao and Helfert, Markus (2024) Unlocking Enterprise Value: A Comprehensive Review of ArchiMate’s Value Modelling Landscape and Stakeholder Perspectives. 26th International Conference on Business Informatics (CBI). pp. 10-19.
Preview
Available under License Creative Commons Attribution Non-commercial Share Alike.
Download (619kB) | Preview
Abstract
There are many attempts to perceive and represent value creation which spans across disciplines. Modelling gives a detailed insight into the areas of value creation and practical applicability in testing its validity. ArchiMate, an internationally recognised standard language for enterprise architecture modelling, offers a structured approach to represent and analyse value within the context of enterprise architecture. Although being predominantly used as an enterprise language and framework, ArchiMate still faces deficiencies in representing the value aspects. Through a comprehensive review of existing literature, this review identifies key challenges, issues, and opportunities in value modelling practices within ArchiMate. The paper aims to improve the value-centric enterprise modelling practice and contributes to ArchiMate’s value representations.
| Item Type: | Article |
|---|---|
| Keywords: | Unlocking Enterprise Value; Comprehensive Review; ArchiMate; Value Modelling Landscape; Stakeholder Perspectives; |
| Academic Unit: | Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI Faculty of Social Sciences > School of Business |
| Item ID: | 21223 |
| Identification Number: | 10.1109/cbi62504.2024.00012 |
| Depositing User: | Markus Helfert |
| Date Deposited: | 23 Feb 2026 13:04 |
| Journal or Publication Title: | 26th International Conference on Business Informatics (CBI) |
| Publisher: | IEEE |
| Refereed: | Yes |
| Related URLs: | |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Downloads
Downloads per month over past year
Share and Export
Share and Export