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dc.contributor.authorMadhala, Prashanth
dc.contributor.authorHelander, Nina
dc.contributor.authorRaatikainen, Mikko
dc.contributor.authorRannisto, Antti
dc.contributor.authorSetälä, Manu
dc.contributor.authorMikkonen, Tommi
dc.contributor.editorVäyrynen, Hannele
dc.contributor.editorHelander, Nina
dc.contributor.editorJalonen, Harri
dc.date.accessioned2022-10-25T05:01:27Z
dc.date.available2022-10-25T05:01:27Z
dc.date.issued2023
dc.identifier.citationMadhala, P., Helander, N., Raatikainen, M., Rannisto, A., Setälä, M., & Mikkonen, T. (2023). Data-driven value creation in digitalizing public service. In H. Väyrynen, N. Helander, & H. Jalonen (Eds.), <i>Public Innovation and Digital Transformation</i> (pp. 92-110). Routledge. <a href="https://doi.org/10.4324/9781003230854-6" target="_blank">https://doi.org/10.4324/9781003230854-6</a>
dc.identifier.otherCONVID_159273680
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/83656
dc.description.abstractData has become an important asset in value creation. Organizations are dealing with a huge amount of data generated on different platforms. In dynamic environments, public organizations have an opportunity to make innovations by applying innovative technologies, implementing big data, and enabling data analytics capabilities that can create value. Evidence from the literature shows that organizations need data analytics capabilities to achieve data-driven value creation. In this chapter, based on a literature review and case example, the aim is to present the factors enabling public innovations from the big data analytics perspective; a theoretical framework for data-driven value creation in public innovation is proposed, incorporating the concepts of data and data analytics and different data-driven value propositions. The case concerns a community centre owned by City of Turku in Finland, where was identified the different big data analytics capabilities for efficient building management. The data generated in the building helps those in charge to understand building performance and make decisions on managing the building, and also to serve citizens through more efficient resource utilization. The role of the case example is to determine which big data analytics capabilities are required to achieve value creation in the public innovation process.en
dc.format.extent191
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherRoutledge
dc.relation.ispartofPublic Innovation and Digital Transformation
dc.rightsCC BY-NC-ND 4.0
dc.titleData-driven value creation in digitalizing public service
dc.typebookPart
dc.identifier.urnURN:NBN:fi:jyu-202210254966
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/BookItem
dc.relation.isbn978-1-032-13741-4
dc.type.coarhttp://purl.org/coar/resource_type/c_3248
dc.description.reviewstatuspeerReviewed
dc.format.pagerange92-110
dc.type.versionpublishedVersion
dc.rights.copyright© Contributors, 2023
dc.rights.accesslevelopenAccessfi
dc.subject.ysosähköiset palvelut
dc.subject.ysotiedonlouhinta
dc.subject.ysojulkiset palvelut
dc.subject.ysobig data
dc.subject.ysodigitalisaatio
dc.subject.ysoarvonluonti
dc.subject.ysoinnovaatiot
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p23542
jyx.subject.urihttp://www.yso.fi/onto/yso/p5520
jyx.subject.urihttp://www.yso.fi/onto/yso/p1285
jyx.subject.urihttp://www.yso.fi/onto/yso/p27202
jyx.subject.urihttp://www.yso.fi/onto/yso/p8692
jyx.subject.urihttp://www.yso.fi/onto/yso/p21123
jyx.subject.urihttp://www.yso.fi/onto/yso/p7903
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.4324/9781003230854-6
jyx.fundinginformationOA Funder: Tampere University, Finland
dc.type.okmA3


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