Abstract
This study aims to design and evaluate a method that leverages ChatGPT for efficiency improvement in digital transformation projects, specifically while designing target business architecture products. The main research question is stated as follows: ‘How can a large language model tool be utilized to support the development of target business architecture products?’ The resulting method, GenArch, enables utilization of ChatGPT throughout business architecture design processes. This method is validated by means of expert interviews and an experiment. The perceived ease of use, perceived usefulness, and intention to use of the method are analyzed to assess the perceived efficacy, which serves as an indicator for efficiency. The results show that GenArch possesses at least a moderately high level of perceived efficacy.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 27th International Conference on Enterprise Information Systems, ICEIS 2025, Porto, Portugal, 4-6 April, 2025 |
| Editors | Joaquim Filipe, Michal Smialek, Alexander Brodsky, Slimane Hammoudi |
| Place of Publication | Lisbon, Portugal |
| Publisher | SciTePress |
| Pages | 707-721 |
| Number of pages | 15 |
| Volume | 2 |
| DOIs | |
| Publication status | Published - 2025 |
Bibliographical note
Publisher Copyright:Copyright © 2025 by Paper published under CC license (CC BY-NC-ND 4.0)
Keywords
- Business Architecture
- ChatGPT
- Consultancy
- Digital Transformation
- GenAI
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