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dc.contributor.advisorTuunanen, Tuure
dc.contributor.authorKylämies, Jaakko
dc.date.accessioned2020-01-07T10:01:14Z
dc.date.available2020-01-07T10:01:14Z
dc.date.issued2020
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/67112
dc.description.abstractThis master’s thesis studies invocation of artificial intelligence in payroll and how it could eventually improve firm’s performance. Artificial intelligence is coming or is already is in use on nearly all fields of life and payroll is no exception to this. Use of artificial intelligence is coming more and more topical also on the field of payroll. Artificial intelligence is very complex technology to take use and it effects to entire service process, so implementation of artificial intelligence must be observed also from strategic and service process perspectives. In this study service modularity is being used to clarify service process and which matters need to be taken into account when planning implementation of artificial intelligence. The study was done by using empirical methods and re-searching observations both on service provider and customer side. Study resulted findings which indicated that balance between customization and standardization has a key role in answering to diverse customer needs and standardizing process, so that service provider could centralize all the core parts of the process. Study also found out that firms should think carefully what the benefit of artificial intelligence is and how it will affect to the whole service process and where it should first be taken into use.en
dc.format.extent82
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subject.otherbusiness process outsourcing
dc.subject.otherservice modularity
dc.titleInvocation of artificial intelligence in payroll
dc.identifier.urnURN:NBN:fi:jyu-202001071053
dc.type.ontasotPro gradu -tutkielmafi
dc.type.ontasotMaster’s thesisen
dc.contributor.tiedekuntaInformaatioteknologian tiedekuntafi
dc.contributor.tiedekuntaFaculty of Information Technologyen
dc.contributor.laitosInformaatioteknologiafi
dc.contributor.laitosInformation Technologyen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.oppiaineTietojärjestelmätiedefi
dc.contributor.oppiaineInformation Systems Scienceen
dc.rights.copyrightJulkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.fi
dc.rights.copyrightThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.en
dc.type.publicationmasterThesis
dc.contributor.oppiainekoodi601
dc.subject.ysopalkanlaskenta
dc.subject.ysopalkkahallinto
dc.subject.ysotekoäly
dc.subject.ysoulkoistaminen
dc.subject.ysoasiakkaat
dc.subject.ysopalvelujärjestelmät
dc.subject.ysocalculation of pay
dc.subject.ysopayroll administration
dc.subject.ysoartificial intelligence
dc.subject.ysooutsourcing
dc.subject.ysocustomers
dc.subject.ysoservice systems
dc.format.contentfulltext
dc.type.okmG2


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