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[{"key": "dc.contributor.advisor", "value": "Luukkainen, Sakari", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Jaara, Akseli", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2023-12-05T07:21:29Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2023-12-05T07:21:29Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2023", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/92203", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Teko\u00e4ly on noussut tasaisin v\u00e4liajoin informaatioteknologian megatrendiksi. T\u00e4ll\u00e4 hetkell\u00e4 teko\u00e4lytoteutuksia yritet\u00e4\u00e4n implementoida yritysten ja organisaatioiden liiketoimintaan enemm\u00e4n kuin koskaan, mutta usein my\u00f6s tuloksetta \u2013 moni teko\u00e4lytoteutus ei p\u00e4\u00e4dy pilottivaihetta pidemm\u00e4lle. Teko\u00e4lyn saavuttama noste on luonut tilanteen, jossa teko\u00e4ly\u00e4 yritet\u00e4\u00e4n implementoida laaja-alaisesti liiketoiminnan eri osa-alueille. Teko\u00e4lytoteutuksien ep\u00e4onnistumisiin ja peruttuihin projekteihin on olemassa monia syit\u00e4, mutta onnistumisen juurisyit\u00e4 ja menestystekij\u00f6it\u00e4 ei my\u00f6sk\u00e4\u00e4n tarkkaan tunneta. T\u00e4ss\u00e4 pro gradu -tutkielmassa selvitet\u00e4\u00e4n, mitk\u00e4 teko\u00e4lyprojektissa ja teko\u00e4lyn implementoinnissa ovat kriittisi\u00e4 menestystekij\u00f6it\u00e4 projektin onnistumisen kannalta teko\u00e4lyn tuottaman liiketoiminnallisen arvon n\u00e4k\u00f6kulmasta, ja mik\u00e4 n\u00e4iden suhde on toisiinsa. Tutkielman tarkoituksena on luoda parempi ymm\u00e4rrys siit\u00e4, mitk\u00e4 tekij\u00e4t johtavat teko\u00e4lyprojektin todenn\u00e4k\u00f6isemp\u00e4\u00e4n liiketoiminnalliseen onnistumiseen. Tutkimus toteutettiin kaksiosaisena, systemaattisena kirjallisuuskatsauksena ja empiirisen\u00e4 haastattelututkimuksena. Systemaattisessa kirjallisuuskatsauksessa pohjustettiin kirjallisuuden perusteella tutkimuksessa k\u00e4ytetyt keskeiset k\u00e4sitteet, jonka pohjalta empiirist\u00e4 osiota varten luotiin teoreettinen viitekehys tutkimuskysymyksiin vastaamiseksi. Tutkimus toteutettiin kvalitatiivisena tutkimuksena, puolistrukturoituina ja teemoitettuina asiantuntijahaastatteluina. Haastatteluita j\u00e4rjestettiin yhteens\u00e4 9 kappaletta. Empiirisen tutkimuksen tulokset analysoitiin teemoittelun keinoin, ja tuloksia verrattiin kirjallisuuskatsauksessa luotuun teoriapohjaan. Tuloksien ja teoreettisen viitekehyksen pohjalta luotiin malli teko\u00e4lytoteutuksien kriittisist\u00e4 menestystekij\u00f6ist\u00e4 liiketoiminnallisen arvon luonnin n\u00e4k\u00f6kannalta. Tutkimus ja tulokset vahvistivat olemassa olevan tutkimuksen tuloksia teko\u00e4lytoteutuksien kriittisist\u00e4 menestystekij\u00f6ist\u00e4, mutta tuloksissa tunnistettiin my\u00f6s uusi kriittisten menestystekij\u00f6iden teema. Tutkimuksessa tunnistettiin my\u00f6s toteutuksen kriittisten menestystekij\u00f6iden suhde haluttuun liiketoiminnalliseen vaikutukseen. Tutkimus t\u00e4ydent\u00e4\u00e4 tunnistettua tutkimusaukkoa teko\u00e4lytoteutuksien kriittisist\u00e4 menestystekij\u00f6ist\u00e4 ja tarkastelee niit\u00e4 liiketoiminnallisen arvon tuottamisen n\u00e4k\u00f6kannalta. Tutkimus ja sen tulokset tarjoavat n\u00e4kemyksi\u00e4 ja keinoja k\u00e4yt\u00e4nn\u00f6n teko\u00e4lyprojektien valmisteluun ja toteutukseen antamalla valmiudet tarkastella haluttua liiketoiminnallista vaikutusta ja siihen liittyvi\u00e4 kriittisi\u00e4 menestystekij\u00f6it\u00e4.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Artificial Intelligence has risen from time to time to being an information technology megatrend. At this moment, organizations try to implement artificial intelligence into their business functions more than ever, but also without results \u2013 a great amount of artificial intelligence implementations do not reach beyond the pilot stage of the project. Artificial intelligence project failures and cancellations may have a myriad of reasons, but the factors of artificial intelligence project success are not either known for sure. This master\u2019s thesis researches the artificial intelligence critical success factors from a business value viewpoint \u2013 and what\u2019s the relationship between the critical success factors and achieved business value. The purpose of this study is to create a better understanding of which factors lead to a more probable business value success. The study was conducted in two separate parts: a systematic literature review and an empirical interview study. The systematic literature review created the theoretical basis and the theoretical framework for the empirical part of the study. The empirical study was conducted as a qualitative study, in the means of semi-structured, thematic expert interviews. The study includes a total of 9 held expert interviews. The results of the empirical study were analysed thematically and compared to the theoretical framework conducted in the literature review. Based on the results of the empirical study and the theoretical framework, the framework for artificial intelligence critical success factors for business value creation was made. The research and the results confirm the critical success factors and business value defined in the earlier research, as well as present a new theme regarding artificial intelligence critical success factors. The study also identified the relationship between artificial intelligence critical success factors and business value impact. The study answers the identified research gap of artificial intelligence critical success factors and observes them from the viewpoint of business value impact. The research and the findings provide insight and tools for planning and execution of artificial intelligence implementations by improving the ability to observe and evaluate the pursued business value and the related critical success factors.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2023-12-05T07:21:29Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2023-12-05T07:21:29Z (GMT). No. of bitstreams: 0\n Previous issue date: 2023", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "82", "language": "", "element": "format", "qualifier": "extent", "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.subject.other", "value": "critical success factors", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "business value", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "business value impact", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Critical success factors in implementing artificial intelligence : business value viewpoint", "language": "", "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-202312058199", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "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.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "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\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"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": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "teko\u00e4ly", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "menestystekij\u00e4t", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "koneoppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "artificial intelligence", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "success factors", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "machine learning", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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