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Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: From big data to big performance – exploring the potential of big data for enhancing public organizations’ performance : a systematic literature review
Authors : Guirguis, Katharina
et. al : No
DOI : 10.5334/ssas.140
Published in : Jahrbuch der Schweizerischen Verwaltungswissenschaften
Volume(Issue) : 11
Issue : 1
Pages : 55
Pages to: 65
Issue Date: 2020
Publisher / Ed. Institution : Schweizerische Gesellschaft für Verwaltungswissenschaften
ISSN: 2296-8717
Language : English
Subjects : Big data; Organizational performance; Dynamic capability; Systematic literature review
Subject (DDC) : 350: Public administration
658.4: Executive Management
Abstract: This 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.
Fulltext version : Published version
License (according to publishing contract) : CC BY 4.0: Attribution 4.0 International
Departement: School of Management and Law
Organisational Unit: Institute of Public Management (IVM)
Appears in Collections:Publikationen School of Management and Law

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