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Identifying high-impact departments for agentic artificial intelligence in the German startup environment-transforming data governance: leveraging AI for efficient and effective data management in complexe corporate structures

2025-09-23Dissertação de mestrado Acesso embargado
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authorProfile.emailhenrijung@web.de
datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorCastro, João
dc.contributor.authorJung, Henri Thomas
dc.date.accessioned2026-06-11T13:30:09Z
dc.date.available2026-06-11T13:30:09Z
dc.date.issued2025-09-23
dc.date.submitted2025-02-19
dc.description.abstractThis thesis examines which startup departments offer optimal opportunities for implementing Agentic AI systems. Through grounded theory analysis of interviews with startup professionals, four critical dimensions emerged: departmental AI suitability, engineering readiness, operational complexity barriers, and organizational infrastructure prerequisites. Sales & Marketing and Software Engineering departments demonstrated exceptional readiness due to structured, repetitive tasks and existing technical capabilities. Conversely, departments requiring extensive domain expertise and managing physical operations faced substantial barriers. The research provides strategic recommendations for phased AI adoption, emphasizing robust data infrastructure and tailored departmental approaches.eng
dc.identifier.tid204132649
dc.identifier.urihttp://hdl.handle.net/10362/203738
dc.language.isoeng
dc.relationUID/ECO/00124/2013
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAgentic AI
dc.subjectStartup AI adoption
dc.subjectAI departmental readiness
dc.subjectAI implementation strategy
dc.subjectAutonomous AI systems
dc.subjectOrganizational infrastructure
dc.subjectGrounded theory
dc.subjectCEMS MIM
dc.titleIdentifying high-impact departments for agentic artificial intelligence in the German startup environment-transforming data governance: leveraging AI for efficient and effective data management in complexe corporate structureseng
dc.typemaster thesis
dspace.entity.typePublication
thesis.degree.nameA Work Project presented as part of the requirements for the Award of a Master’s Degree in Management from the Nova School of Business and Economics

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