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From potential to practice: barriers and risk to artificial intelligence adoption in renewable energy operations & maintenance and devolution of the industry onshore wind in German: a market entry strategy

authorProfile.emailjoanarcralves@gmail.com
datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorHabib, Nadim
dc.contributor.authorAlves, Joana Ribeiro Costa Ramalho
dc.date.accessioned2026-06-05T14:17:37Z
dc.date.available2026-06-05T14:17:37Z
dc.date.issued2025-06-18
dc.date.submitted2025-06-02
dc.description.abstractThis work project investigates the barriers and future opportunities for Artificial Intelligence adoption in operations and maintenance within the wind energy sector. Using the TOE framework and insights from semi-structured expert interviews, the study identifies technological, organizational, and environmental constraints that limit adoption. Horizon scanning reveals how artificial intelligence could evolve from a supportive tool to a key orchestrator in decentralized energy systems. The project offers strategic recommendations for the Company and similar firms to leverage artificial intelligence in targeted use cases, driving efficiency and resilience in an increasingly competitive and digitized renewable energy landscape.eng
dc.identifier.tid204131014
dc.identifier.urihttp://hdl.handle.net/10362/203689
dc.language.isoeng
dc.relationUID/ECO/00124/2013
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectRenewable energy
dc.subjectArtificial intelligence
dc.subjectOperations & Maintenance
dc.subjectInnovation
dc.subjectCEMS MIM
dc.titleFrom potential to practice: barriers and risk to artificial intelligence adoption in renewable energy operations & maintenance and devolution of the industry onshore wind in German: a market entry strategyeng
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 Finance from the Nova School of Business and Economics

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