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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": "Korhonen, Maiju", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2025-06-06T08:38:49Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2025-06-06T08:38:49Z", "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/123456789/103168", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "This master\u2019s thesis examines the phenomenon of knowledge workers using applications that utilize LMMs such as ChatGPT or Copilot. The value this study brings is the gained deeper understanding on how knowledge workers perceive these kinds of applications in their work. The research method chosen for this work is Grounded Theory Method due to its iterative nature and applicability in information systems and flexibility to investigate phenomenon. Knowledge workers from different kinds of fields were interviewed and the material was inspected through open axial and selective coding. The findings from this thesis can be divided into four main categories. Knowledge workers perceive AI applications as unreliable and as tools that can be used in a wide variety of ways. They notice personal development in creating prompts and a sense of collaboration when using these kinds of applications. These findings can all be seen as part of knowledge workers navigating work with generative AI.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Tutkimuksessa tarkastellaan tietoty\u00f6l\u00e4isten suuria kielimalleja hy\u00f6dynt\u00e4vien sovellusten k\u00e4ytt\u00f6\u00e4 kuten ChatGPT ja Copilotin k\u00e4ytt\u00f6\u00e4 ilmi\u00f6n\u00e4. Tutkimus tuo tutkimuskentt\u00e4\u00e4n lis\u00e4\u00e4 ymm\u00e4rryst\u00e4 siit\u00e4, kuinka tietoty\u00f6l\u00e4iset kokevat laajoja kielimalleja hy\u00f6dynt\u00e4vien sovellusten k\u00e4yt\u00f6n ty\u00f6ss\u00e4\u00e4n. Tutkimusmenetelm\u00e4ksi on valikoitunut Grounded Theory-menetelm\u00e4 sen iteratiivisen luonteen ja erityisen hyv\u00e4n sovellettavuuden tietoj\u00e4rjestelm\u00e4tieteen tutkimuksessa. Eri aloilla ty\u00f6skentelevi\u00e4 tietoty\u00f6l\u00e4isi\u00e4 haastateltiin ja aineistoa analysoitiin avoimen, aksiaalisen sek\u00e4 valikoivan koodauksen avulla. Tutkimuksen tulokset voidaan jakaa nelj\u00e4\u00e4n kategoriaan. Tietoty\u00f6ntekij\u00e4t kokevat generatiivista teko\u00e4ly\u00e4 hy\u00f6dynt\u00e4v\u00e4t sovellukset ep\u00e4luotettaviksi ty\u00f6kaluiksi, joita voidaan hy\u00f6dynt\u00e4\u00e4 monella eri tavalla. Tietoty\u00f6l\u00e4iset huomaavat henkil\u00f6kohtaista kehityst\u00e4 kehotteiden luomisessa ja tunnistavat tunteen yhteisty\u00f6st\u00e4 hy\u00f6dynt\u00e4ess\u00e4\u00e4n n\u00e4it\u00e4 sovelluksia. L\u00f6yd\u00f6sten voidaan n\u00e4hd\u00e4 liittyv\u00e4n siihen, miten tietoty\u00f6l\u00e4iset navigoivat ty\u00f6ss\u00e4\u00e4n hy\u00f6dynt\u00e4en generatiivista teko\u00e4ly\u00e4.", "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 2025-06-06T08:38:49Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2025-06-06T08:38:49Z (GMT). No. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "44", "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": "Navigating work with generative AI: Knowledge workers' perspective", "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-202506064974", "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": "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.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.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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