Publicação
Empowering organizational feedback with artificial intelligence: business model validation and future opportunities of a qualitative analysis platform
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Aguiar, Hugo Menino | |
| dc.contributor.author | Nagel, Christian Max Heinreich | |
| dc.date.accessioned | 2025-03-26T12:43:48Z | |
| dc.date.available | 2025-03-26T12:43:48Z | |
| dc.date.issued | 2024-01-19 | |
| dc.date.submitted | 2023-12-19 | |
| dc.description.abstract | This thesis explores the integration of Large Language Models (LLMs) in Human Resources to improve employee feedback processes. It examines challenges in analyzing qualitative feedback in large organizations and proposes Thrivio, an AI-driven Minimum Viable Product (MVP), as a solution. The research combines a comprehensive literature review, mixed methods empirical research, and the development and testing of Thrivio. Focusing on enhancing HR decision-making through AI analytics, the thesis presents a novel bottom-up approach to employee feedback, culminating in a market strategy and future roadmap for Thrivio, thereby contributing to the field of impact entrepreneurship and innovation. | pt_PT |
| dc.identifier.tid | 203902270 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/181382 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | UID/ECO/00124/2013 | pt_PT |
| dc.subject | Artificial intelligence | pt_PT |
| dc.subject | Human resources | pt_PT |
| dc.subject | Sentiment analysis | pt_PT |
| dc.subject | Large language models | pt_PT |
| dc.subject | Saas | pt_PT |
| dc.subject | Business model | pt_PT |
| dc.subject | Business development | pt_PT |
| dc.subject | Growth | pt_PT |
| dc.subject | Mvp testing | pt_PT |
| dc.subject | Market analysis | pt_PT |
| dc.subject | Customer needs | pt_PT |
| dc.title | Empowering organizational feedback with artificial intelligence: business model validation and future opportunities of a qualitative analysis platform | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | 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 Impact Entrepreneurship and Innovation from the Nova School of Business and Economics | pt_PT |