Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-19915
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dc.contributor.authorGuirguis, Katharina-
dc.date.accessioned2020-04-16T08:05:47Z-
dc.date.available2020-04-16T08:05:47Z-
dc.date.issued2020-
dc.identifier.issn2296-8717de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/19915-
dc.description.abstractThis article examines the possibilities for increasing organizational performance in the public sector using Big Data by conducting a systematic literature review. It includes the results of 36 scientific articles published between January 2012 and July 2019. The results show a tendency to explain the relationship between big data and organizational performance through the Resource-Based View of the Firm or the Dynamic Capabilities View, arguing that perfor-mance improvement in an organization stems from unique capabilities. In addition, the results show that Big Data performance improvement is influenced by better organizational decision making. Finally, it identifies three dimensions that seem to play a role in this process: the human dimension, the organizational dimension, and the data dimension. From these findings, implications for both practice and theory are derived.de_CH
dc.language.isoende_CH
dc.publisherSchweizerische Gesellschaft für Verwaltungswissenschaftende_CH
dc.relation.ispartofJahrbuch der Schweizerischen Verwaltungswissenschaftende_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectBig datade_CH
dc.subjectOrganizational performancede_CH
dc.subjectDynamic capabilityde_CH
dc.subjectSystematic literature reviewde_CH
dc.subject.ddc350: Öffentliche Verwaltungde_CH
dc.subject.ddc658.403: Entscheidungsfindung, Informationsmanagementde_CH
dc.titleFrom big data to big performance – exploring the potential of big data for enhancing public organizations’ performance : a systematic literature reviewde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitInstitut für Verwaltungs-Management (IVM)de_CH
dc.identifier.doi10.5334/ssas.140de_CH
dc.identifier.doi10.21256/zhaw-19915-
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end65de_CH
zhaw.pages.start55de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume11de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Management and Law

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Guirguis, K. (2020). From big data to big performance – exploring the potential of big data for enhancing public organizations’ performance : a systematic literature review. Jahrbuch Der Schweizerischen Verwaltungswissenschaften, 11(1), 55–65. https://doi.org/10.5334/ssas.140
Guirguis, K. (2020) ‘From big data to big performance – exploring the potential of big data for enhancing public organizations’ performance : a systematic literature review’, Jahrbuch der Schweizerischen Verwaltungswissenschaften, 11(1), pp. 55–65. Available at: https://doi.org/10.5334/ssas.140.
K. Guirguis, “From big data to big performance – exploring the potential of big data for enhancing public organizations’ performance : a systematic literature review,” Jahrbuch der Schweizerischen Verwaltungswissenschaften, vol. 11, no. 1, pp. 55–65, 2020, doi: 10.5334/ssas.140.
GUIRGUIS, Katharina, 2020. From big data to big performance – exploring the potential of big data for enhancing public organizations’ performance : a systematic literature review. Jahrbuch der Schweizerischen Verwaltungswissenschaften. 2020. Bd. 11, Nr. 1, S. 55–65. DOI 10.5334/ssas.140
Guirguis, Katharina. 2020. “From Big Data to Big Performance – Exploring the Potential of Big Data for Enhancing Public Organizations’ Performance : A Systematic Literature Review.” Jahrbuch Der Schweizerischen Verwaltungswissenschaften 11 (1): 55–65. https://doi.org/10.5334/ssas.140.
Guirguis, Katharina. “From Big Data to Big Performance – Exploring the Potential of Big Data for Enhancing Public Organizations’ Performance : A Systematic Literature Review.” Jahrbuch Der Schweizerischen Verwaltungswissenschaften, vol. 11, no. 1, 2020, pp. 55–65, https://doi.org/10.5334/ssas.140.


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