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High Value Datasets som resurs: en studie om datadriven innovation i små och medelstora företag
University of Borås, Faculty of Librarianship, Information, Education and IT.
University of Borås, Faculty of Librarianship, Information, Education and IT.
2024 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
High Value Datasets as a resource : A study about data-driven innovation in SME (English)
Abstract [sv]

Europeiska unionen har klassificerat “High Value Dataset” (HVD) som öppna datamängder med stor potential att skapa socioekonomiskt värde. Utifrån europeiska direktiv är små och medelstora företag (SME) målgruppen för användning av HVD. Dessa SME har stor potential att nyttja öppna data för att innovera och generera socioekonomisk nytta. Lantmäteriet estimerar samtidigt ett potentiellt samhällsvärde av 11,1 miljarder kronor utifrån fyra av sex datamängder inom HVD, och utifrån en case-baserad nyttoanalys estimeras 10 – 21 miljarder kronor årligen. Genom en induktiv kvalitativ ansats med induktiv/deduktiv hybridtematisk dataanalys, undersöks huruvida HVD inom kategorin rörlighet, kan nyttjas för innovation inom SMEs. En liten n-studie utfördes och fem representanter intervjuades för olika SME som använde HVD, inom kategori rörlighet. Studien konstaterar att HVD har potentialen att användas som resurs inom flera innovationsdimensioner. Främst förekommande inom innovationsdimensionen produkt/tjänst där användandet av öppna data har förbättrat existerande produkter och tjänster, eller gett upphov till nya. Två huvudsakliga affärsmodeller kunde identifieras för att nyttja HVD och skapa värde på olika sätt inom de undersökta SME.

Abstract [en]

The European Union has classified “High Value Dataset” (HVD) as open datasets with potential to create substantial socioeconomic value. According to European directives, Small and Medium enterprises (SMEs) are the main beneficiaries of HVD. These SMEs have great potential to reuse open data for innovation and generate socioeconomic value. The Swedish authority Lantmäteriet estimates meanwhile a potential socioeconomic value of 11,1 billion kronor derived from four out of six HVDs. A case-based benefit analysis was also conducted and estimated a socioeconomic value of 10 – 21 billion kronor yearly. Through a inductive qualitative approach with an inductive and deductive hybrid thematic data analysis, the aim is to examine how HVD within the mobility category can be used for innovative purposes by SMEs. A small n-study was conducted and five representatives of different Swedish SME:s were interviewed because of their use of mobility data. The study finds innovation most frequently appears in the dimension of Product/Service, within the innovation space. Where the usage of open mobility data has improved existing services, or created new ones. Two main business models was identified in the SME:s to create value with HVD. The study is written in swedish.

Place, publisher, year, edition, pages
2024.
Keywords [en]
Open data, Innovation, Open innovation, Open government data, High value dataset, HVD, Mobility, Mobility data, Public transport, SME.
Keywords [sv]
Öppna data, Innovation, Öppen innovation, Digital innovation, OGD, Rörlighet, Rörlighetsdata, Mobilitet, Mobilitetsdata, Kollektivtrafik, SME.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hb:diva-32915OAI: oai:DiVA.org:hb-32915DiVA, id: diva2:1920685
Subject / course
Informatics
Available from: 2024-12-30 Created: 2024-12-12 Last updated: 2025-09-24Bibliographically approved

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