Publicação
Ai-driven decision support in the automotive industry: designing a user-centric ai chatbot using large language models and the double diamond approach
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Han, Qiwei | |
| dc.contributor.author | Preiss, Florian Fritz | |
| dc.date.accessioned | 2025-02-10T10:59:48Z | |
| dc.date.embargo | 2028-05-17 | |
| dc.date.issued | 2024-06-05 | |
| dc.date.submitted | 2024-05-17 | |
| dc.description.abstract | Companies are confronted with a paradoxical situation: although data is abundant, its volume complicates rather than facilitates decision-making. This thesis explores how large language models (LLMs) can address this challenge with a user-centered approach. Based on the specific needs and challenges of decision-makers in the automotive industry, identified through user interviews and content analysis, a chatbot was developed and evaluated. The findings demonstrate the potential of LLMs to streamline decision-making by efficiently processing complex data and generating insights. This research showcases the feasibility of user-centered AI tools in enhancing decision-making processes and provides a comprehensive framework for future research. | pt_PT |
| dc.identifier.tid | 203725425 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/178697 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | UID/ECO/00124/2013 | pt_PT |
| dc.subject | Ai-driven decision-making | pt_PT |
| dc.subject | User-centric design | pt_PT |
| dc.subject | Chatbot development | pt_PT |
| dc.subject | Large language models | pt_PT |
| dc.subject | Prompt engineering | pt_PT |
| dc.subject | Retrieval-augmented generation | pt_PT |
| dc.title | Ai-driven decision support in the automotive industry: designing a user-centric ai chatbot using large language models and the double diamond approach | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | embargoedAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Master’s degree in Business Analytics from the Nova School of Business and Economics | pt_PT |