Utilizing ChatGPT as a Virtual Team Member in a Digital Transformation Consultancy Team

Tim de Wolff, Sietse Overbeek

2025

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.

Paper Citation

in Harvard Style

Wolff T. and Overbeek S. (2025). Utilizing ChatGPT as a Virtual Team Member in a Digital Transformation Consultancy Team. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 707-721. DOI: 10.5220/0013286200003929

in Bibtex Style

@conference{iceis25,
author={Tim Wolff and Sietse Overbeek},
title={Utilizing ChatGPT as a Virtual Team Member in a Digital Transformation Consultancy Team},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2025},
pages={707-721},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013286200003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Utilizing ChatGPT as a Virtual Team Member in a Digital Transformation Consultancy Team
SN - 978-989-758-749-8
AU - Wolff T.
AU - Overbeek S.
PY - 2025
SP - 707
EP - 721
DO - 10.5220/0013286200003929
PB - SciTePress