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[{"key": "dc.contributor.advisor", "value": "Sepp\u00e4nen, Ville", "language": null, "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Valtanen, Ella", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2025-06-24T10:24:22Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2025-06-24T10:24:22Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2025", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/103954", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Artificial intelligence (AI) is here to stay, and it is rapidly changing the world. AI refers to the ability of computers or systems to simulate human intelligence, such as learning, reasoning, and problem-solving, using algorithms and large data sets. As part of mergers and acquisitions, one or both parties conduct a due diligence review aimed at identifying the factors and risks that affect the purchase price. Organisations are increasingly relying on data-driven decisions, and AI technologies offer the potential to enhance the accuracy and efficiency of due diligence processes. At the beginning of the research, the current state of AI usage and its prevalence among those conducting financial due diligence (FDD) assignments is mapped out. The integration of AI into processes and systems also involves risks and challenges, which the re-search aims to explore. Additionally, the research seeks to identify potential areas that could be optimised or facilitated through the use of AI. The research focuses particularly on the Nordic countries. This master's thesis has been conducted as qualitative research. Its data consists of three separate thematic interviews and five reports produced by global consulting firms. The participants in the interviews were chosen through expert sampling. The data analysis was carried out inductively, meaning that the reasoning moves from practice to theory. AI is most used for text structuring, brainstorming, or proof-reading, areas in which it was also perceived to be beneficial. The research findings indicated that the significant barrier to increasing the use of AI is the immaturity of AI models. The responses provided by AI have not yet developed to the level required in financial due diligence reviews. According to the results, AI has not yet influenced decision-making or processes itself. Instead, AI was seen as having potential for data structuring and review, particularly in data rooms.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Teko\u00e4ly on tullut j\u00e4\u00e4d\u00e4kseen ja nyt se muuttaa maailmaa vauhdilla. Teko\u00e4lyll\u00e4 viitataan tietokoneiden tai j\u00e4rjestelmien kykyyn simuloida inhimillist\u00e4 \u00e4lykkyytt\u00e4, kuten oppimista, p\u00e4\u00e4ttely\u00e4 ja ongelmanratkaisua k\u00e4ytt\u00e4en algoritmeja ja suuria tietom\u00e4\u00e4ri\u00e4. Osana yritysj\u00e4rjestelyit\u00e4 toinen tai molemmat osapuolet teett\u00e4v\u00e4t due diligence -tarkastuksen, jonka tavoitteena on selvitt\u00e4\u00e4 kauppahintaan vaikuttavat tekij\u00e4t ja riskit. Organisaatiot luottavat yh\u00e4 enemm\u00e4n datal\u00e4ht\u00f6isiin p\u00e4\u00e4t\u00f6ksiin ja teko\u00e4lyteknologiat tarjoavat mahdollisuuden parantaa due diligence -prosessien tarkkuutta ja tehokkuutta. Tutkimuksen aluksi kartoitetaan teko\u00e4lyn k\u00e4yt\u00f6n nykytilaa sek\u00e4 sen laajuutta taloudellisia due diligence -toimeksiantoja suorittavien keskuudessa. Teko\u00e4lyyn ja sen integraatioon osaksi prosesseja ja j\u00e4rjestelmi\u00e4 liittyy my\u00f6s riskej\u00e4 ja haasteita, joita tutkimus pyrkii selvitt\u00e4m\u00e4\u00e4n. Lis\u00e4ksi tutkimus koettaa l\u00f6yt\u00e4\u00e4 potentiaalisia kohtia, joita voitaisiin tehostaa tai helpottaa teko\u00e4lyn avulla. Tutkimus painottuu erityisesti Pohjoismaihin. Pro gradu -tutkielma on toteutettu laadullisena tutkimuksena. Sen aineisto koostuu kolmesta erillisest\u00e4 teemahaastattelusta sek\u00e4 viidest\u00e4 maailmanlaajuisten konsultointiyrityksen tuottamasta raportista. Haastateltavat on valittu asiantuntijaotantaa hy\u00f6dynt\u00e4m\u00e4ll\u00e4. Aineiston analyysi on puolestaan toteutettu induktiivisesti, joka tar-koittaa p\u00e4\u00e4ttelyn suunnan olevan k\u00e4yt\u00e4nn\u00f6st\u00e4 teoriaan. Teko\u00e4ly\u00e4 k\u00e4ytet\u00e4\u00e4n useimmiten tekstin j\u00e4sentelyyn, ideointiin tai oikolukuun, joihin siit\u00e4 my\u00f6s koettiin olevan hy\u00f6ty\u00e4. Tutkimustulokset osoittivat, ett\u00e4 suurimpana esteen\u00e4 teko\u00e4lyn k\u00e4yt\u00f6n lis\u00e4\u00e4miselle on teko\u00e4lymallien immaturiteetti. Teko\u00e4lyn an-tamat vastaukset eiv\u00e4t ole viel\u00e4 kehittyneet tasolle, jota taloudellisessa due diligence tarkastuksessa edellytet\u00e4\u00e4n. Tuloksien mukaan teko\u00e4ly ei ole vai-kuttanut p\u00e4\u00e4t\u00f6ksentekoon tai tarkastusprosessien kulkuun viel\u00e4. Sen sijaan teko\u00e4lyss\u00e4 n\u00e4htiin potentiaalia datan j\u00e4sentelyyn ja l\u00e4pik\u00e4yntiin erityisesti datahuoneissa.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija.group@korppi.jyu.fi) on 2025-06-24T10:24:22Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2025-06-24T10:24:22Z (GMT). No. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "76", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": null, "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.title", "value": "Exploring the Influence of Artificial Intelligence on Financial Due Diligence Processes in Mergers and Acquisitions", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202506245714", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tieteen maisteriohjelma", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Master's Degree Programme in Information Systems", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author(s)", "language": null, "element": "rights", "qualifier": "copyright", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "restrictedAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}, {"key": "dc.rights.accessrights", "value": "Tekij\u00e4 ei ole antanut lupaa avoimeen julkaisuun, joten aineisto on luettavissa vain Jyv\u00e4skyl\u00e4n yliopiston kirjaston arkistoty\u00f6semalta. Ks. https://www.jyu.fi/fi/osc/kirjasto/tyoskentelytilat/laitteet-ja-tilat#toc-jyx-ty-asema.", "language": "fi", "element": "rights", "qualifier": "accessrights", "schema": "dc"}, {"key": "dc.rights.accessrights", "value": "The author has not given permission to make the work publicly available electronically. Therefore the material can be read only at the archival workstation at Jyv\u00e4skyl\u00e4 University Library (https://www.jyu.fi/en/osc/library/workspaces/facilities-and-equipment#toc-jyx-workstation).", "language": "en", "element": "rights", "qualifier": "accessrights", "schema": "dc"}, {"key": "dc.description.accessibilityfeature", "value": "ei tietoa saavutettavuudesta", "language": "fi", "element": "description", "qualifier": "accessibilityfeature", "schema": "dc"}, {"key": "dc.description.accessibilityfeature", "value": "unknown accessibility", "language": "en", "element": "description", "qualifier": "accessibilityfeature", "schema": "dc"}]
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