Generating Value from Open Government Data

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    A driving force for change in society is the trend towards Open Government Data (OGD). While the value generated by OGD has been widely discussed by public bodies and other stakeholders, little attention has been paid to this phenomenon in the academic literature. Hence, we developed a conceptual model portraying how data as a resource can be transformed to value. We show the causal relationships between four contextual, enabling factors, four types of value generation mechanisms and value. We use empirical data from 61 countries to test these relationships, using the PLS method. The results mostly support the hypothesized relationships. Our conclusion is that if openness is complemented with resource governance, capabilities in society and technical connectivity, use of OGD will stimulate the generation of economic and social value through four different archetypical mechanisms: Efficiency, Innovation, Transparency and Participation.
    A driving force for change in society is the trend towards Open Government Data (OGD). While the value generated by OGD has been widely discussed by public bodies and other stakeholders, little attention has been paid to this phenomenon in the academic literature. Hence, we developed a conceptual model portraying how data as a resource can be transformed to value. We show the causal relationships between four contextual, enabling factors, four types of value generation mechanisms and value. We use empirical data from 61 countries to test these relationships, using the PLS method. The results mostly support the hypothesized relationships. Our conclusion is that if openness is complemented with resource governance, capabilities in society and technical connectivity, use of OGD will stimulate the generation of economic and social value through four different archetypical mechanisms: Efficiency, Innovation, Transparency and Participation.
    LanguageEnglish
    Title of host publicationProceedings of the 34th International Conference on Information Systems. ICIS 2013
    EditorsRichard Baskerville, Michael Chau
    Number of pages20
    Place of PublicationAtlanta, GA
    PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
    Date2013
    Article number1181
    ISBN (Print)9780615933832
    StatePublished - 2013
    EventThe 34th International Conference on Information Systems. ICIS 2013: Reshaping Society Through Information Systems Design - Università Bocconi, Milan, Italy
    Duration: 15 Dec 201318 Dec 2013
    Conference number: 34
    http://icis2013.aisnet.org/

    Conference

    ConferenceThe 34th International Conference on Information Systems. ICIS 2013
    Number34
    LocationUniversità Bocconi
    CountryItaly
    CityMilan
    Period15/12/201318/12/2013
    Internet address

    Keywords

      Cite this

      Jetzek, T., Avital, M., & Bjørn-Andersen, N. (2013). Generating Value from Open Government Data. In R. Baskerville, & M. Chau (Eds.), Proceedings of the 34th International Conference on Information Systems. ICIS 2013 [1181] Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL).
      Jetzek, Thorhildur ; Avital, Michel ; Bjørn-Andersen, Niels. / Generating Value from Open Government Data. Proceedings of the 34th International Conference on Information Systems. ICIS 2013. editor / Richard Baskerville ; Michael Chau. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2013.
      @inproceedings{83326cefb3164aa787d96049ff3235b7,
      title = "Generating Value from Open Government Data",
      abstract = "A driving force for change in society is the trend towards Open Government Data (OGD). While the value generated by OGD has been widely discussed by public bodies and other stakeholders, little attention has been paid to this phenomenon in the academic literature. Hence, we developed a conceptual model portraying how data as a resource can be transformed to value. We show the causal relationships between four contextual, enabling factors, four types of value generation mechanisms and value. We use empirical data from 61 countries to test these relationships, using the PLS method. The results mostly support the hypothesized relationships. Our conclusion is that if openness is complemented with resource governance, capabilities in society and technical connectivity, use of OGD will stimulate the generation of economic and social value through four different archetypical mechanisms: Efficiency, Innovation, Transparency and Participation.",
      keywords = "Open government data, Public sector information, Value generating m echanisms, Openness, Social value, Economic value",
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      publisher = "Association for Information Systems. AIS Electronic Library (AISeL)",

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      Jetzek, T, Avital, M & Bjørn-Andersen, N 2013, Generating Value from Open Government Data. in R Baskerville & M Chau (eds), Proceedings of the 34th International Conference on Information Systems. ICIS 2013., 1181, Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, Milan, Italy, 15/12/2013.

      Generating Value from Open Government Data. / Jetzek, Thorhildur; Avital, Michel; Bjørn-Andersen, Niels.

      Proceedings of the 34th International Conference on Information Systems. ICIS 2013. ed. / Richard Baskerville; Michael Chau. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2013. 1181.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

      TY - GEN

      T1 - Generating Value from Open Government Data

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      N2 - A driving force for change in society is the trend towards Open Government Data (OGD). While the value generated by OGD has been widely discussed by public bodies and other stakeholders, little attention has been paid to this phenomenon in the academic literature. Hence, we developed a conceptual model portraying how data as a resource can be transformed to value. We show the causal relationships between four contextual, enabling factors, four types of value generation mechanisms and value. We use empirical data from 61 countries to test these relationships, using the PLS method. The results mostly support the hypothesized relationships. Our conclusion is that if openness is complemented with resource governance, capabilities in society and technical connectivity, use of OGD will stimulate the generation of economic and social value through four different archetypical mechanisms: Efficiency, Innovation, Transparency and Participation.

      AB - A driving force for change in society is the trend towards Open Government Data (OGD). While the value generated by OGD has been widely discussed by public bodies and other stakeholders, little attention has been paid to this phenomenon in the academic literature. Hence, we developed a conceptual model portraying how data as a resource can be transformed to value. We show the causal relationships between four contextual, enabling factors, four types of value generation mechanisms and value. We use empirical data from 61 countries to test these relationships, using the PLS method. The results mostly support the hypothesized relationships. Our conclusion is that if openness is complemented with resource governance, capabilities in society and technical connectivity, use of OGD will stimulate the generation of economic and social value through four different archetypical mechanisms: Efficiency, Innovation, Transparency and Participation.

      KW - Open government data

      KW - Public sector information

      KW - Value generating m echanisms

      KW - Openness

      KW - Social value

      KW - Economic value

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      Jetzek T, Avital M, Bjørn-Andersen N. Generating Value from Open Government Data. In Baskerville R, Chau M, editors, Proceedings of the 34th International Conference on Information Systems. ICIS 2013. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). 2013. 1181.