Utilizing ChatGPT as a virtual team member in a digital transformation consultancy team
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Publication date
2025
Editors
Filipe, Joaquim
Smialek, Michal
Brodsky, Alexander
Hammoudi, Slimane
Advisors
Supervisors
Document Type
Part of book
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License
cc_by_nc_nd
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.
Keywords
Business Architecture, ChatGPT, Consultancy, Digital Transformation, GenAI, Information Systems, Computer Science Applications, Information Systems and Management
Citation
de Wolff, T & Overbeek, S 2025, Utilizing ChatGPT as a virtual team member in a digital transformation consultancy team. in J Filipe, M Smialek, A Brodsky & S Hammoudi (eds), Proceedings of the 27th International Conference on Enterprise Information Systems, ICEIS 2025, Porto, Portugal, 4-6 April, 2025. vol. 2, SciTePress, Lisbon, Portugal, pp. 707-721. https://doi.org/10.5220/0013286200003929