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[{"key": "dc.contributor.advisor", "value": "Lakanen, Antti-Jussi", "language": null, "element": "contributor", "schema": "dc", "qualifier": "advisor"}, {"key": "dc.contributor.author", "value": "Iljin, Niko", "language": null, "element": "contributor", "schema": "dc", "qualifier": "author"}, {"key": "dc.date.accessioned", "value": "2025-05-27T07:03:31Z", "language": null, "element": "date", "schema": "dc", "qualifier": "accessioned"}, {"key": "dc.date.available", "value": "2025-05-27T07:03:31Z", "language": null, "element": "date", "schema": "dc", "qualifier": "available"}, {"key": "dc.date.issued", "value": "2025", "language": null, "element": "date", "schema": "dc", "qualifier": "issued"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/102785", "language": null, "element": "identifier", "schema": "dc", "qualifier": "uri"}, {"key": "dc.description.abstract", "value": "T\u00e4m\u00e4 kandidaatintutkielma k\u00e4sittelee hakuavusteisen generoinnin (engl. retrieval augmented generation, RAG) merkityst\u00e4 tietojohtamisessa, painottaen erityisesti tiedon strategista hy\u00f6dynt\u00e4mist\u00e4. Tutkielmassa tarkastellaan, kuinka RAG voi auttaa ylitt\u00e4m\u00e4\u00e4n perinteisten suurten kielimallien (engl. large language models, LLM) rajoituksia, kuten staattista tietopohjaa ja hallusinaatioita. Lis\u00e4ksi arvioidaan RAG:n soveltuvuutta strategiseen p\u00e4\u00e4t\u00f6ksentekoon, organisaation oppimiseen ja tiedon jakamiseen.\n\nTutkielman keskeiset havainnot osoittavat, ett\u00e4 RAG parantaa tiedon ajantasaisuutta, tarkkuutta ja kontekstisidonnaisuutta, mik\u00e4 tukee strategista p\u00e4\u00e4t\u00f6ksentekoa ja tiedon jakamista. Organisaation oppimisen osalta RAG:n hy\u00f6dyt j\u00e4\u00e4v\u00e4t kuitenkin pienemmiksi, koska se ei t\u00e4ysin pysty k\u00e4sittelem\u00e4\u00e4n hiljaisen tiedon osioita. RAG:n k\u00e4ytt\u00f6\u00f6notto vaatii laadukkaita tietol\u00e4hteit\u00e4, teknist\u00e4 osaamista ja organisaatiokohtaista r\u00e4\u00e4t\u00e4l\u00f6inti\u00e4.\n\nTutkielma toteaa, ett\u00e4 RAG-pohjaiset kielimallit voivat tehostaa tietojohtamisen prosesseja, mutta niiden potentiaalin t\u00e4ysi hy\u00f6dynt\u00e4minen edellytt\u00e4\u00e4 lis\u00e4tutkimusta. Ty\u00f6 luo pohjaa teko\u00e4lyn ja tietojohtamisen yhdist\u00e4miselle sek\u00e4 tunnistaa tutkimusmahdollisuuksia RAG:n k\u00e4yt\u00e4nn\u00f6n sovellusten ja vaikutusten tarkempaan arviointiin organisaatioissa.", "language": "fi", "element": "description", "schema": "dc", "qualifier": "abstract"}, {"key": "dc.description.abstract", "value": "This bachelor's thesis investigates the role of retrieval augmented generation (RAG) in knowledge based managament, focusing specifically on how it can be used strategically to leverage knowledge. The research looks into how RAG addresses the shortcomings of traditional Large Language Models (LLMs), such as their reliance on static knowledge bases and their tendency to produce hallucinations (inaccurate or fabricated outputs). The study also assesses RAG's potential in areas like strategic decision-making, organizational learning, and knowledge sharing.\n\n The main findings show that RAG enhances the timeliness, accuracy, and contextual relevance of knowledge. This makes it a valuable tool for supporting strategic decision-making and improving knowledge sharing within organizations. However, its effectiveness in organizational learning is limited because it struggles to capture the subtleties of tacit knowledge (knowledge that is hard to formalize or communicate). Implementing RAG successfully depends on having high-quality data sources, technical expertise, and customization tailored to the organization.\n\n The thesis suggests that RAG-based language models can improve knowledge based management processes, but more research is needed to unlock their full potential. This work provides information for combining artificial intelligence with knowledge management and highlights new possibilities for studying RAG's practical applications and effects in organizations.", "language": "en", "element": "description", "schema": "dc", "qualifier": "abstract"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2025-05-27T07:03:31Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "schema": "dc", "qualifier": "provenance"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2025-05-27T07:03:31Z (GMT). No. of bitstreams: 0\n Previous issue date: 2025", "language": "en", "element": "description", "schema": "dc", "qualifier": "provenance"}, {"key": "dc.format.extent", "value": "27", "language": null, "element": "format", "schema": "dc", "qualifier": "extent"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "schema": "dc", "qualifier": "iso"}, {"key": "dc.rights", "value": "In Copyright", "language": null, "element": "rights", "schema": "dc", "qualifier": null}, {"key": "dc.subject.other", "value": "hakuavusteinen generointi", "language": null, "element": "subject", "schema": "dc", "qualifier": "other"}, {"key": "dc.subject.other", "value": "tiedon strateginen hy\u00f6dynt\u00e4minen", "language": null, "element": "subject", "schema": "dc", "qualifier": "other"}, {"key": "dc.title", "value": "Hakuavusteisen generoinnin hy\u00f6dynt\u00e4minen tietojohtamisen tukena", "language": null, "element": "title", "schema": "dc", "qualifier": null}, {"key": "dc.type", "value": "bachelor thesis", "language": null, "element": "type", "schema": "dc", "qualifier": null}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202505274610", "language": null, "element": "identifier", "schema": "dc", "qualifier": "urn"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "schema": "dc", "qualifier": "faculty"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "schema": "dc", "qualifier": "faculty"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "schema": "dc", "qualifier": "department"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "schema": "dc", "qualifier": "department"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": null, "element": "contributor", "schema": "dc", "qualifier": "organization"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": null, "element": "contributor", "schema": "dc", "qualifier": "organization"}, {"key": "dc.subject.discipline", "value": "Tietojenk\u00e4sittelytiede", "language": "fi", "element": "subject", "schema": "dc", "qualifier": "discipline"}, {"key": "dc.subject.discipline", "value": "Computer Science", "language": "en", "element": "subject", "schema": "dc", "qualifier": "discipline"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_7a1f", "language": null, "element": "type", "schema": "dc", "qualifier": "coar"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author(s)", "language": "fi", "element": "rights", "schema": "dc", "qualifier": "copyright"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "schema": "dc", "qualifier": "accesslevel"}, {"key": "dc.type.publication", "value": "bachelorThesis", "language": null, "element": "type", "schema": "dc", "qualifier": "publication"}, {"key": "dc.subject.yso", "value": "tiet\u00e4myksenhallinta", "language": null, "element": "subject", "schema": "dc", "qualifier": "yso"}, {"key": "dc.subject.yso", "value": "teko\u00e4ly", "language": null, "element": "subject", "schema": "dc", "qualifier": "yso"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "schema": "dc", "qualifier": "url"}]
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